{
  "schema_version": 1,
  "edition": "October 2026",
  "page_updated_at": "2026-10-11",
  "publication_status": "public",
  "url": "https://madgicx.com/labs/index-map",
  "taxonomy_url": "https://madgicx.com/labs/api/taxonomy",
  "coverage": {
    "industries": 70,
    "subcategories": 482,
    "available_editions": 552,
    "verified_aggregate_editions": 324,
    "research_only_editions": 228,
    "published_editions": 552,
    "directory_deferred": 533,
    "pending_editions": 0,
    "taxonomy_checked_on": "2026-10-10"
  },
  "scope": "Available category research with explicit benchmark status. Taxonomy membership does not establish benchmark coverage. Public brand examples do not identify benchmark participants or Madgicx customers.",
  "insights": [
    {
      "name": "Apparel & Fashion",
      "slug": "apparel-fashion",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/apparel-fashion",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "apparel-fashion",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 64.07,
        "p25_aov_usd": 28.81,
        "p75_aov_usd": 122.63,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Apparel & Fashion account AOV: median $64.07; middle 50% $28.81–$122.63. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Beauty & Personal Care",
      "slug": "beauty-personal-care",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/beauty-personal-care",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "beauty-personal-care",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 45.04,
        "p25_aov_usd": 15.99,
        "p75_aov_usd": 83.71,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Beauty & Personal Care account AOV: median $45.04; middle 50% $15.99–$83.71. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Food & Beverage Products",
      "slug": "food-beverage-products",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/food-beverage-products",
      "benchmark_url": "https://madgicx.com/labs/industries/food-beverage-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/food-beverage-products.md",
      "json_url": "https://madgicx.com/labs/industries/food-beverage-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "food-beverage-products",
        "parent_slug": null,
        "cohort_scope": "industry_tree",
        "median_aov_usd": 47.96,
        "p25_aov_usd": 20.98,
        "p75_aov_usd": 77.48,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values in this industry. Each account value is purchase ROAS multiplied by cost per purchase in USD. Includes successful classifications at the industry root and its subcategories, including manual corrections, with positive spend, purchases, ROAS and cost per purchase. Accounts are counted once. Accounts receive equal weight. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is an aggregated advertising-data benchmark, not a census of all businesses.",
        "read_at": "2026-09-22T16:55:30.190622+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Food & Beverage Products account AOV: median $47.96; middle 50% $20.98–$77.48. Snapshot read 2026-09-22T16:55:30.190622+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/food-beverage-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/food-beverage-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Jewelry & Accessories",
      "slug": "jewelry-accessories",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/jewelry-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/jewelry-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/jewelry-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/jewelry-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "jewelry-accessories",
        "parent_slug": null,
        "cohort_scope": "industry_tree",
        "median_aov_usd": 88.27,
        "p25_aov_usd": 37.68,
        "p75_aov_usd": 229.5,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values in this industry. Each account value is purchase ROAS multiplied by cost per purchase in USD. Includes successful classifications at the industry root and its subcategories, including manual corrections, with positive spend, purchases, ROAS and cost per purchase. Accounts are counted once. Accounts receive equal weight. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is an aggregated advertising-data benchmark, not a census of all businesses.",
        "read_at": "2026-09-22T16:55:30.190622+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Jewelry & Accessories account AOV: median $88.27; middle 50% $37.68–$229.50. Snapshot read 2026-09-22T16:55:30.190622+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/jewelry-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/jewelry-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Home Goods & Furnishings",
      "slug": "home-goods-furnishings",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/home-goods-furnishings",
      "benchmark_url": "https://madgicx.com/labs/industries/home-goods-furnishings#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-goods-furnishings.md",
      "json_url": "https://madgicx.com/labs/industries/home-goods-furnishings.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "home-goods-furnishings",
        "parent_slug": null,
        "cohort_scope": "industry_tree",
        "median_aov_usd": 130.02,
        "p25_aov_usd": 50.94,
        "p75_aov_usd": 341.3,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values in this industry. Each account value is purchase ROAS multiplied by cost per purchase in USD. Includes successful classifications at the industry root and its subcategories, including manual corrections, with positive spend, purchases, ROAS and cost per purchase. Accounts are counted once. Accounts receive equal weight. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is an aggregated advertising-data benchmark, not a census of all businesses.",
        "read_at": "2026-09-22T16:55:30.190622+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Goods & Furnishings account AOV: median $130.02; middle 50% $50.94–$341.30. Snapshot read 2026-09-22T16:55:30.190622+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-goods-furnishings#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-goods-furnishings#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Renewable Energy & Clean Tech",
      "slug": "renewable-energy-clean-tech",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "renewable-energy-clean-tech",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 224.58,
        "p25_aov_usd": 41.1,
        "p75_aov_usd": 1070.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Renewable Energy & Clean Tech account AOV: median $224.58; middle 50% $41.10–$1,070.20. Snapshot read 2026-10-11T14:11:26.748987+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/renewable-energy-clean-tech#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Healthcare & Wellness",
      "slug": "healthcare-wellness",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/healthcare-wellness",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "healthcare-wellness",
        "parent_slug": null,
        "cohort_scope": "industry_tree",
        "median_aov_usd": 62.34,
        "p25_aov_usd": 27.15,
        "p75_aov_usd": 146.44,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values in this industry. Each account value is purchase ROAS multiplied by cost per purchase in USD. Includes successful classifications at the industry root and its subcategories, including manual corrections, with positive spend, purchases, ROAS and cost per purchase. Accounts are counted once. Accounts receive equal weight. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is an aggregated advertising-data benchmark, not a census of all businesses.",
        "read_at": "2026-09-22T16:55:30.190622+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Healthcare & Wellness account AOV: median $62.34; middle 50% $27.15–$146.44. Snapshot read 2026-09-22T16:55:30.190622+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Travel Booking Platforms",
      "slug": "travel-booking-platforms",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/travel-booking-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/travel-booking-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/travel-booking-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/travel-booking-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "travel-booking-platforms",
        "parent_slug": null,
        "cohort_scope": "industry_tree",
        "median_aov_usd": 303.43,
        "p25_aov_usd": 54.98,
        "p75_aov_usd": 959.99,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values in this industry. Each account value is purchase ROAS multiplied by cost per purchase in USD. Includes successful classifications at the industry root and its subcategories, including manual corrections, with positive spend, purchases, ROAS and cost per purchase. Accounts are counted once. Accounts receive equal weight. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is an aggregated advertising-data benchmark, not a census of all businesses.",
        "read_at": "2026-09-22T16:55:30.190622+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Travel Booking Platforms account AOV: median $303.43; middle 50% $54.98–$959.99. Snapshot read 2026-09-22T16:55:30.190622+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/travel-booking-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/travel-booking-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Electronics & Tech Devices",
      "slug": "electronics-tech-devices",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "electronics-tech-devices",
        "parent_slug": null,
        "cohort_scope": "industry_tree",
        "median_aov_usd": 58.36,
        "p25_aov_usd": 20.37,
        "p75_aov_usd": 200.23,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values in this industry. Each account value is purchase ROAS multiplied by cost per purchase in USD. Includes successful classifications at the industry root and its subcategories, including manual corrections, with positive spend, purchases, ROAS and cost per purchase. Accounts are counted once. Accounts receive equal weight. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is an aggregated advertising-data benchmark, not a census of all businesses.",
        "read_at": "2026-09-22T16:55:30.190622+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Electronics & Tech Devices account AOV: median $58.36; middle 50% $20.37–$200.23. Snapshot read 2026-09-22T16:55:30.190622+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Software & Technology Platforms",
      "slug": "software-technology-platforms",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/software-technology-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "software-technology-platforms",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 30.34,
        "p25_aov_usd": 10.26,
        "p75_aov_usd": 95.68,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Software & Technology Platforms account AOV: median $30.34; middle 50% $10.26–$95.68. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Womens Apparel",
      "slug": "womens-apparel",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/womens-apparel",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/womens-apparel#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/womens-apparel.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/womens-apparel.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "womens-apparel",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 58.7,
        "p25_aov_usd": 26.5,
        "p75_aov_usd": 121.93,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Womens Apparel account AOV: median $58.70; middle 50% $26.50–$121.93. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/womens-apparel#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/womens-apparel#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Accessories & Handbags",
      "slug": "accessories-handbags",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/accessories-handbags",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/accessories-handbags#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/accessories-handbags.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/accessories-handbags.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "accessories-handbags",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 59.99,
        "p25_aov_usd": 29.74,
        "p75_aov_usd": 111.75,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Accessories & Handbags account AOV: median $59.99; middle 50% $29.74–$111.75. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/accessories-handbags#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/accessories-handbags#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Activewear & Streetwear",
      "slug": "activewear-streetwear",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/activewear-streetwear",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/activewear-streetwear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/activewear-streetwear.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/activewear-streetwear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "activewear-streetwear",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 64.91,
        "p25_aov_usd": 26.92,
        "p75_aov_usd": 112.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Activewear & Streetwear account AOV: median $64.91; middle 50% $26.92–$112.20. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/activewear-streetwear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/activewear-streetwear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Mens Apparel",
      "slug": "mens-apparel",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/mens-apparel",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/mens-apparel#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/mens-apparel.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/mens-apparel.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "mens-apparel",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 59.09,
        "p25_aov_usd": 22.84,
        "p75_aov_usd": 114.84,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mens Apparel account AOV: median $59.09; middle 50% $22.84–$114.84. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/mens-apparel#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/mens-apparel#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Seasonal & Outerwear",
      "slug": "seasonal-outerwear",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/seasonal-outerwear",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/seasonal-outerwear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/seasonal-outerwear.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/seasonal-outerwear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "seasonal-outerwear",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 87.89,
        "p25_aov_usd": 39.76,
        "p75_aov_usd": 157.96,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Seasonal & Outerwear account AOV: median $87.89; middle 50% $39.76–$157.96. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/seasonal-outerwear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/seasonal-outerwear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Footwear & Shoes",
      "slug": "footwear-shoes",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/footwear-shoes",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/footwear-shoes#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/footwear-shoes.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/footwear-shoes.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "footwear-shoes",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 74.55,
        "p25_aov_usd": 39.34,
        "p75_aov_usd": 134.36,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Footwear & Shoes account AOV: median $74.55; middle 50% $39.34–$134.36. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/footwear-shoes#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/footwear-shoes#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Formal & Occasion Wear",
      "slug": "formal-occasion-wear",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/formal-occasion-wear",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/formal-occasion-wear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/formal-occasion-wear.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/formal-occasion-wear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "formal-occasion-wear",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 83.42,
        "p25_aov_usd": 36.68,
        "p75_aov_usd": 222.99,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Formal & Occasion Wear account AOV: median $83.42; middle 50% $36.68–$222.99. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/formal-occasion-wear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/formal-occasion-wear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Kids & Teen Fashion",
      "slug": "kids-teen-fashion",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/kids-teen-fashion",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/kids-teen-fashion#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/kids-teen-fashion.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/kids-teen-fashion.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "kids-teen-fashion",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 60.46,
        "p25_aov_usd": 25.91,
        "p75_aov_usd": 99.79,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Kids & Teen Fashion account AOV: median $60.46; middle 50% $25.91–$99.79. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/kids-teen-fashion#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/kids-teen-fashion#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Functional & Protective Apparel",
      "slug": "functional-protective-apparel",
      "kind": "subcategory",
      "parent_slug": "apparel-fashion",
      "url": "https://madgicx.com/labs/industries/apparel-fashion/functional-protective-apparel",
      "benchmark_url": "https://madgicx.com/labs/industries/apparel-fashion/functional-protective-apparel#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/apparel-fashion/functional-protective-apparel.md",
      "json_url": "https://madgicx.com/labs/industries/apparel-fashion/functional-protective-apparel.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "functional-protective-apparel",
        "parent_slug": "apparel-fashion",
        "cohort_scope": "exact_child",
        "median_aov_usd": 116.12,
        "p25_aov_usd": 68.11,
        "p75_aov_usd": 177.43,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:01.732249+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Functional & Protective Apparel account AOV: median $116.12; middle 50% $68.11–$177.43. Snapshot read 2026-10-11T14:06:01.732249+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/apparel-fashion/functional-protective-apparel#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/apparel-fashion/functional-protective-apparel#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "complete",
      "page_readiness": "published"
    },
    {
      "name": "Advanced Skincare Services",
      "slug": "advanced-skincare-services",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/advanced-skincare-services",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/advanced-skincare-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/advanced-skincare-services.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/advanced-skincare-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "advanced-skincare-services",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 29.94,
        "p25_aov_usd": 6.2,
        "p75_aov_usd": 149.61,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Advanced Skincare Services account AOV: median $29.94; middle 50% $6.20–$149.61. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/advanced-skincare-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/advanced-skincare-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Barber Shops",
      "slug": "barber-shops",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/barber-shops",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/barber-shops#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/barber-shops.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/barber-shops.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "barber-shops",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 54.15,
        "p25_aov_usd": 46.97,
        "p75_aov_usd": 73.04,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Barber Shops account AOV: median $54.15; middle 50% $46.97–$73.04. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/barber-shops#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/barber-shops#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Beauty Gifts & Sets",
      "slug": "beauty-gifts-sets",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-gifts-sets",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-gifts-sets#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-gifts-sets.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-gifts-sets.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "beauty-gifts-sets",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 51.35,
        "p25_aov_usd": 36.69,
        "p75_aov_usd": 73.54,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Beauty Gifts & Sets account AOV: median $51.35; middle 50% $36.69–$73.54. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/beauty-gifts-sets#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-gifts-sets#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Beauty Subscription Services",
      "slug": "beauty-subscription-services",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-subscription-services",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-subscription-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-subscription-services.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-subscription-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "beauty-subscription-services",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 17.52,
        "p25_aov_usd": 5.41,
        "p75_aov_usd": 47.8,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Beauty Subscription Services account AOV: median $17.52; middle 50% $5.41–$47.80. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/beauty-subscription-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/beauty-subscription-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Body Care Grooming",
      "slug": "body-care-grooming",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/body-care-grooming",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/body-care-grooming#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/body-care-grooming.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/body-care-grooming.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "body-care-grooming",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 36.97,
        "p25_aov_usd": 14.32,
        "p75_aov_usd": 58.21,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Body Care Grooming account AOV: median $36.97; middle 50% $14.32–$58.21. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/body-care-grooming#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/body-care-grooming#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Facial Skincare",
      "slug": "facial-skincare",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/facial-skincare",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/facial-skincare#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/facial-skincare.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/facial-skincare.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "facial-skincare",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 47.47,
        "p25_aov_usd": 15.69,
        "p75_aov_usd": 80.67,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Facial Skincare account AOV: median $47.47; middle 50% $15.69–$80.67. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/facial-skincare#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/facial-skincare#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fragrances & Scents",
      "slug": "fragrances-scents",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/fragrances-scents",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/fragrances-scents#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/fragrances-scents.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/fragrances-scents.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "fragrances-scents",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 42.71,
        "p25_aov_usd": 18.28,
        "p75_aov_usd": 80.36,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fragrances & Scents account AOV: median $42.71; middle 50% $18.28–$80.36. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/fragrances-scents#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/fragrances-scents#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hair Removal Salons",
      "slug": "hair-removal-salons",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/hair-removal-salons",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/hair-removal-salons#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/hair-removal-salons.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/hair-removal-salons.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "hair-removal-salons",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 57.62,
        "p25_aov_usd": 19.39,
        "p75_aov_usd": 91.89,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hair Removal Salons account AOV: median $57.62; middle 50% $19.39–$91.89. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/hair-removal-salons#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/hair-removal-salons#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Haircare Products",
      "slug": "haircare-products",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/haircare-products",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/haircare-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/haircare-products.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/haircare-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "haircare-products",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 42.5,
        "p25_aov_usd": 14.12,
        "p75_aov_usd": 76.86,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Haircare Products account AOV: median $42.50; middle 50% $14.12–$76.86. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/haircare-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/haircare-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Lash & Brow Salons",
      "slug": "lash-brow-salons",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/lash-brow-salons",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/lash-brow-salons#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/lash-brow-salons.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/lash-brow-salons.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "lash-brow-salons",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.13,
        "p25_aov_usd": 6.42,
        "p75_aov_usd": 78.61,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Lash & Brow Salons account AOV: median $48.13; middle 50% $6.42–$78.61. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/lash-brow-salons#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/lash-brow-salons#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Makeup Cosmetics",
      "slug": "makeup-cosmetics",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/makeup-cosmetics",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/makeup-cosmetics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/makeup-cosmetics.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/makeup-cosmetics.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "makeup-cosmetics",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 38.05,
        "p25_aov_usd": 14.91,
        "p75_aov_usd": 62.48,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Makeup Cosmetics account AOV: median $38.05; middle 50% $14.91–$62.48. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/makeup-cosmetics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/makeup-cosmetics#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Men Grooming Products",
      "slug": "men-grooming-products",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/men-grooming-products",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/men-grooming-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/men-grooming-products.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/men-grooming-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "men-grooming-products",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 41.81,
        "p25_aov_usd": 29.94,
        "p75_aov_usd": 60.32,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Men Grooming Products account AOV: median $41.81; middle 50% $29.94–$60.32. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/men-grooming-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/men-grooming-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mobile Beauty Services",
      "slug": "mobile-beauty-services",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/mobile-beauty-services",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/mobile-beauty-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/mobile-beauty-services.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/mobile-beauty-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "mobile-beauty-services",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mobile Beauty Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:55.188218+00:00. https://madgicx.com/labs/industries/beauty-personal-care/mobile-beauty-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/mobile-beauty-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Nail Salon Services",
      "slug": "nail-salon-services",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/nail-salon-services",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/nail-salon-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/nail-salon-services.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/nail-salon-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "nail-salon-services",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 34.56,
        "p25_aov_usd": 24.01,
        "p75_aov_usd": 83.9,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Nail Salon Services account AOV: median $34.56; middle 50% $24.01–$83.90. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/nail-salon-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/nail-salon-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Oral Care Products",
      "slug": "oral-care-products",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/oral-care-products",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/oral-care-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/oral-care-products.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/oral-care-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "oral-care-products",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 36.57,
        "p25_aov_usd": 14.94,
        "p75_aov_usd": 49.89,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Oral Care Products account AOV: median $36.57; middle 50% $14.94–$49.89. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/oral-care-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/oral-care-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Professional Beauty Supplies",
      "slug": "professional-beauty-supplies",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/professional-beauty-supplies",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/professional-beauty-supplies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/professional-beauty-supplies.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/professional-beauty-supplies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "professional-beauty-supplies",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 91.23,
        "p25_aov_usd": 58.86,
        "p75_aov_usd": 193.53,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Professional Beauty Supplies account AOV: median $91.23; middle 50% $58.86–$193.53. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/professional-beauty-supplies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/professional-beauty-supplies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Salon Hair Services",
      "slug": "salon-hair-services",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/salon-hair-services",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/salon-hair-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/salon-hair-services.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/salon-hair-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "salon-hair-services",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 56.47,
        "p25_aov_usd": 17.16,
        "p75_aov_usd": 139.82,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Salon Hair Services account AOV: median $56.47; middle 50% $17.16–$139.82. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/salon-hair-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/salon-hair-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Skincare Services",
      "slug": "skincare-services",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/skincare-services",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/skincare-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/skincare-services.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/skincare-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "skincare-services",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": 87.01,
        "p25_aov_usd": 29.52,
        "p75_aov_usd": 202.78,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Skincare Services account AOV: median $87.01; middle 50% $29.52–$202.78. Snapshot read 2026-10-11T14:06:55.188218+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/beauty-personal-care/skincare-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/skincare-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Travel Size Beauty",
      "slug": "travel-size-beauty",
      "kind": "subcategory",
      "parent_slug": "beauty-personal-care",
      "url": "https://madgicx.com/labs/industries/beauty-personal-care/travel-size-beauty",
      "benchmark_url": "https://madgicx.com/labs/industries/beauty-personal-care/travel-size-beauty#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/beauty-personal-care/travel-size-beauty.md",
      "json_url": "https://madgicx.com/labs/industries/beauty-personal-care/travel-size-beauty.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "travel-size-beauty",
        "parent_slug": "beauty-personal-care",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:55.188218+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Travel Size Beauty: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:55.188218+00:00. https://madgicx.com/labs/industries/beauty-personal-care/travel-size-beauty#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/beauty-personal-care/travel-size-beauty#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Commercial Renewable Systems",
      "slug": "commercial-renewable-systems",
      "kind": "subcategory",
      "parent_slug": "renewable-energy-clean-tech",
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/commercial-renewable-systems",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/commercial-renewable-systems#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/commercial-renewable-systems.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/commercial-renewable-systems.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "commercial-renewable-systems",
        "parent_slug": "renewable-energy-clean-tech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Commercial Renewable Systems: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:26.748987+00:00. https://madgicx.com/labs/industries/renewable-energy-clean-tech/commercial-renewable-systems#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/commercial-renewable-systems#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Energy Efficiency Products",
      "slug": "energy-efficiency-products",
      "kind": "subcategory",
      "parent_slug": "renewable-energy-clean-tech",
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/energy-efficiency-products",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/energy-efficiency-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/energy-efficiency-products.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/energy-efficiency-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "energy-efficiency-products",
        "parent_slug": "renewable-energy-clean-tech",
        "cohort_scope": "exact_child",
        "median_aov_usd": 83.48,
        "p25_aov_usd": 39.85,
        "p75_aov_usd": 274.19,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Energy Efficiency Products account AOV: median $83.48; middle 50% $39.85–$274.19. Snapshot read 2026-10-11T14:11:26.748987+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/renewable-energy-clean-tech/energy-efficiency-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/energy-efficiency-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Ev Charging Solutions",
      "slug": "ev-charging-solutions",
      "kind": "subcategory",
      "parent_slug": "renewable-energy-clean-tech",
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/ev-charging-solutions",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/ev-charging-solutions#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/ev-charging-solutions.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/ev-charging-solutions.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "ev-charging-solutions",
        "parent_slug": "renewable-energy-clean-tech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Ev Charging Solutions: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:26.748987+00:00. https://madgicx.com/labs/industries/renewable-energy-clean-tech/ev-charging-solutions#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/ev-charging-solutions#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Energy Storage",
      "slug": "home-energy-storage",
      "kind": "subcategory",
      "parent_slug": "renewable-energy-clean-tech",
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/home-energy-storage",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/home-energy-storage#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/home-energy-storage.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/home-energy-storage.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "home-energy-storage",
        "parent_slug": "renewable-energy-clean-tech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Energy Storage: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:26.748987+00:00. https://madgicx.com/labs/industries/renewable-energy-clean-tech/home-energy-storage#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/home-energy-storage#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Portable Solar Power",
      "slug": "portable-solar-power",
      "kind": "subcategory",
      "parent_slug": "renewable-energy-clean-tech",
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/portable-solar-power",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/portable-solar-power#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/portable-solar-power.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/portable-solar-power.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "portable-solar-power",
        "parent_slug": "renewable-energy-clean-tech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Portable Solar Power: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:26.748987+00:00. https://madgicx.com/labs/industries/renewable-energy-clean-tech/portable-solar-power#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/portable-solar-power#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Renewable Energy Consulting",
      "slug": "renewable-energy-consulting",
      "kind": "subcategory",
      "parent_slug": "renewable-energy-clean-tech",
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/renewable-energy-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/renewable-energy-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/renewable-energy-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/renewable-energy-consulting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "renewable-energy-consulting",
        "parent_slug": "renewable-energy-clean-tech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Renewable Energy Consulting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:26.748987+00:00. https://madgicx.com/labs/industries/renewable-energy-clean-tech/renewable-energy-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/renewable-energy-consulting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Residential Solar Installation",
      "slug": "residential-solar-installation",
      "kind": "subcategory",
      "parent_slug": "renewable-energy-clean-tech",
      "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/residential-solar-installation",
      "benchmark_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/residential-solar-installation#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/residential-solar-installation.md",
      "json_url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/residential-solar-installation.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "residential-solar-installation",
        "parent_slug": "renewable-energy-clean-tech",
        "cohort_scope": "exact_child",
        "median_aov_usd": 37.27,
        "p25_aov_usd": 25.62,
        "p75_aov_usd": 2091.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:26.748987+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Residential Solar Installation account AOV: median $37.27; middle 50% $25.62–$2,091.20. Snapshot read 2026-10-11T14:11:26.748987+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/renewable-energy-clean-tech/residential-solar-installation#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/renewable-energy-clean-tech/residential-solar-installation#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "AI & Machine Learning Platforms",
      "slug": "ai-machine-learning-platforms",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/ai-machine-learning-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/ai-machine-learning-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/ai-machine-learning-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/ai-machine-learning-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "ai-machine-learning-platforms",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 31.13,
        "p25_aov_usd": 11.52,
        "p75_aov_usd": 143.31,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. AI & Machine Learning Platforms account AOV: median $31.13; middle 50% $11.52–$143.31. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/ai-machine-learning-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/ai-machine-learning-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business Productivity Software",
      "slug": "business-productivity-software",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/business-productivity-software",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/business-productivity-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/business-productivity-software.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/business-productivity-software.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "business-productivity-software",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 34.31,
        "p25_aov_usd": 11.11,
        "p75_aov_usd": 94.22,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business Productivity Software account AOV: median $34.31; middle 50% $11.11–$94.22. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/business-productivity-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/business-productivity-software#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cloud Infrastructure Services",
      "slug": "cloud-infrastructure-services",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/cloud-infrastructure-services",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/cloud-infrastructure-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/cloud-infrastructure-services.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/cloud-infrastructure-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "cloud-infrastructure-services",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 12.78,
        "p25_aov_usd": 10.39,
        "p75_aov_usd": 40.25,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cloud Infrastructure Services account AOV: median $12.78; middle 50% $10.39–$40.25. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/cloud-infrastructure-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/cloud-infrastructure-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Communication & Collaboration Software",
      "slug": "communication-collaboration-software",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/communication-collaboration-software",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/communication-collaboration-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/communication-collaboration-software.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/communication-collaboration-software.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "communication-collaboration-software",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 5.57,
        "p25_aov_usd": 3.16,
        "p75_aov_usd": 15.51,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Communication & Collaboration Software account AOV: median $5.57; middle 50% $3.16–$15.51. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/communication-collaboration-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/communication-collaboration-software#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Creative & Design Software",
      "slug": "creative-design-software",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/creative-design-software",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/creative-design-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/creative-design-software.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/creative-design-software.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "creative-design-software",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 25.01,
        "p25_aov_usd": 10.23,
        "p75_aov_usd": 50.28,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Creative & Design Software account AOV: median $25.01; middle 50% $10.23–$50.28. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/creative-design-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/creative-design-software#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cybersecurity & Privacy Software",
      "slug": "cybersecurity-privacy-software",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/cybersecurity-privacy-software",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/cybersecurity-privacy-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/cybersecurity-privacy-software.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/cybersecurity-privacy-software.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "cybersecurity-privacy-software",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 57.55,
        "p25_aov_usd": 19.14,
        "p75_aov_usd": 108.4,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cybersecurity & Privacy Software account AOV: median $57.55; middle 50% $19.14–$108.40. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/cybersecurity-privacy-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/cybersecurity-privacy-software#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Development Tools & Platforms",
      "slug": "development-tools-platforms",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/development-tools-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/development-tools-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/development-tools-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/development-tools-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "development-tools-platforms",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Development Tools & Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:48.519456+00:00. https://madgicx.com/labs/industries/software-technology-platforms/development-tools-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/development-tools-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Financial Technology Software",
      "slug": "financial-technology-software",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/financial-technology-software",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/financial-technology-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/financial-technology-software.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/financial-technology-software.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "financial-technology-software",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 45.03,
        "p25_aov_usd": 15.81,
        "p75_aov_usd": 81.55,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Financial Technology Software account AOV: median $45.03; middle 50% $15.81–$81.55. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/financial-technology-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/financial-technology-software#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "HR & Payroll Software",
      "slug": "hr-payroll-software",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/hr-payroll-software",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/hr-payroll-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/hr-payroll-software.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/hr-payroll-software.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "hr-payroll-software",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. HR & Payroll Software: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:48.519456+00:00. https://madgicx.com/labs/industries/software-technology-platforms/hr-payroll-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/hr-payroll-software#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "IT Managed Services",
      "slug": "it-managed-services",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/it-managed-services",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/it-managed-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/it-managed-services.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/it-managed-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "it-managed-services",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. IT Managed Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:48.519456+00:00. https://madgicx.com/labs/industries/software-technology-platforms/it-managed-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/it-managed-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Marketing Technology Platforms",
      "slug": "marketing-technology-platforms",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/marketing-technology-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/marketing-technology-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/marketing-technology-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/marketing-technology-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "marketing-technology-platforms",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 29.77,
        "p25_aov_usd": 12.88,
        "p75_aov_usd": 120.27,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Marketing Technology Platforms account AOV: median $29.77; middle 50% $12.88–$120.27. Snapshot read 2026-10-11T14:11:48.519456+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/software-technology-platforms/marketing-technology-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/marketing-technology-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Software Development Services",
      "slug": "software-development-services",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/software-development-services",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/software-development-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/software-development-services.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/software-development-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "software-development-services",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Software Development Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:48.519456+00:00. https://madgicx.com/labs/industries/software-technology-platforms/software-development-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/software-development-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "System Integration Services",
      "slug": "system-integration-services",
      "kind": "subcategory",
      "parent_slug": "software-technology-platforms",
      "url": "https://madgicx.com/labs/industries/software-technology-platforms/system-integration-services",
      "benchmark_url": "https://madgicx.com/labs/industries/software-technology-platforms/system-integration-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/software-technology-platforms/system-integration-services.md",
      "json_url": "https://madgicx.com/labs/industries/software-technology-platforms/system-integration-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "system-integration-services",
        "parent_slug": "software-technology-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:48.519456+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. System Integration Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:48.519456+00:00. https://madgicx.com/labs/industries/software-technology-platforms/system-integration-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/software-technology-platforms/system-integration-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Accessibility & Special Needs Products",
      "slug": "accessibility-special-needs-products",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "accessibility-special-needs-products",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 100.1,
        "p25_aov_usd": 70.14,
        "p75_aov_usd": 298.77,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Accessibility & Special Needs Products account AOV: median $100.10; middle 50% $70.14–$298.77. Snapshot read 2026-10-11T14:06:06.232545+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/accessibility-special-needs-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Accounting & Tax Services",
      "slug": "accounting-tax-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/accounting-tax-services",
      "benchmark_url": "https://madgicx.com/labs/industries/accounting-tax-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accounting-tax-services.md",
      "json_url": "https://madgicx.com/labs/industries/accounting-tax-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "accounting-tax-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 57.85,
        "p25_aov_usd": 27.59,
        "p75_aov_usd": 236.8,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:10.912915+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Accounting & Tax Services account AOV: median $57.85; middle 50% $27.59–$236.80. Snapshot read 2026-10-11T14:06:10.912915+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/accounting-tax-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accounting-tax-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Agriculture & Farming",
      "slug": "agriculture-farming",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/agriculture-farming",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "agriculture-farming",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 54.03,
        "p25_aov_usd": 31.64,
        "p75_aov_usd": 117.55,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Agriculture & Farming account AOV: median $54.03; middle 50% $31.64–$117.55. Snapshot read 2026-10-11T14:06:18.004506+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/agriculture-farming#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Architecture Construction & Engineering",
      "slug": "architecture-construction-engineering",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "architecture-construction-engineering",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 204.23,
        "p25_aov_usd": 34.56,
        "p75_aov_usd": 1660.47,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Architecture Construction & Engineering account AOV: median $204.23; middle 50% $34.56–$1,660.47. Snapshot read 2026-10-11T14:06:24.260201+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/architecture-construction-engineering#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Arts Design & Creative Services",
      "slug": "arts-design-creative-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "arts-design-creative-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 70.74,
        "p25_aov_usd": 42.39,
        "p75_aov_usd": 156.39,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Arts Design & Creative Services account AOV: median $70.74; middle 50% $42.39–$156.39. Snapshot read 2026-10-11T14:06:29.932467+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/arts-design-creative-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Automotive Parts & Accessories",
      "slug": "automotive-parts-accessories",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "automotive-parts-accessories",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 99.85,
        "p25_aov_usd": 30.35,
        "p75_aov_usd": 330.34,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Automotive Parts & Accessories account AOV: median $99.85; middle 50% $30.35–$330.34. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Automotive Services",
      "slug": "automotive-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/automotive-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "automotive-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 78.78,
        "p25_aov_usd": 37.72,
        "p75_aov_usd": 232.65,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Automotive Services account AOV: median $78.78; middle 50% $37.72–$232.65. Snapshot read 2026-10-11T14:06:40.917993+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Baby & Child Products",
      "slug": "baby-child-products",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/baby-child-products",
      "benchmark_url": "https://madgicx.com/labs/industries/baby-child-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/baby-child-products.md",
      "json_url": "https://madgicx.com/labs/industries/baby-child-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "baby-child-products",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 46.76,
        "p25_aov_usd": 18.48,
        "p75_aov_usd": 91.74,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:46.822554+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Baby & Child Products account AOV: median $46.76; middle 50% $18.48–$91.74. Snapshot read 2026-10-11T14:06:46.822554+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/baby-child-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/baby-child-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business & Consulting Services",
      "slug": "business-consulting-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/business-consulting-services",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "business-consulting-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 67.73,
        "p25_aov_usd": 23.62,
        "p75_aov_usd": 290.25,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business & Consulting Services account AOV: median $67.73; middle 50% $23.62–$290.25. Snapshot read 2026-10-11T14:07:00.986886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/business-consulting-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business Process Outsourcing",
      "slug": "business-process-outsourcing",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/business-process-outsourcing",
      "benchmark_url": "https://madgicx.com/labs/industries/business-process-outsourcing#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-process-outsourcing.md",
      "json_url": "https://madgicx.com/labs/industries/business-process-outsourcing.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "business-process-outsourcing",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:05.551690+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business Process Outsourcing: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:05.551690+00:00. https://madgicx.com/labs/industries/business-process-outsourcing#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-process-outsourcing#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Child Care & Development Services",
      "slug": "child-care-development-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/child-care-development-services",
      "benchmark_url": "https://madgicx.com/labs/industries/child-care-development-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/child-care-development-services.md",
      "json_url": "https://madgicx.com/labs/industries/child-care-development-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "child-care-development-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 27.79,
        "p25_aov_usd": 16.21,
        "p75_aov_usd": 82.68,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:11.000994+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Child Care & Development Services account AOV: median $27.79; middle 50% $16.21–$82.68. Snapshot read 2026-10-11T14:07:11.000994+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/child-care-development-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/child-care-development-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Collectibles & Artifacts",
      "slug": "collectibles-artifacts",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "collectibles-artifacts",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 87.56,
        "p25_aov_usd": 37.41,
        "p75_aov_usd": 178.96,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Collectibles & Artifacts account AOV: median $87.56; middle 50% $37.41–$178.96. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Content Creators & Influencers",
      "slug": "content-creators-influencers",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/content-creators-influencers",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "content-creators-influencers",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 33.24,
        "p25_aov_usd": 9.87,
        "p75_aov_usd": 74.35,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Content Creators & Influencers account AOV: median $33.24; middle 50% $9.87–$74.35. Snapshot read 2026-10-11T14:07:20.829230+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/content-creators-influencers#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Dating & Relationship Services",
      "slug": "dating-relationship-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/dating-relationship-services",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "dating-relationship-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 27.39,
        "p25_aov_usd": 8.95,
        "p75_aov_usd": 38.45,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Dating & Relationship Services account AOV: median $27.39; middle 50% $8.95–$38.45. Snapshot read 2026-10-11T14:07:25.498677+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/dating-relationship-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Digital Marketing & Advertising Platforms",
      "slug": "digital-marketing-advertising-platforms",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "digital-marketing-advertising-platforms",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 62.8,
        "p25_aov_usd": 13.0,
        "p75_aov_usd": 183.9,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Digital Marketing & Advertising Platforms account AOV: median $62.80; middle 50% $13.00–$183.90. Snapshot read 2026-10-11T14:07:30.734392+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Funeral & Cemetery Services",
      "slug": "funeral-cemetery-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/funeral-cemetery-services",
      "benchmark_url": "https://madgicx.com/labs/industries/funeral-cemetery-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/funeral-cemetery-services.md",
      "json_url": "https://madgicx.com/labs/industries/funeral-cemetery-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "funeral-cemetery-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 30.79,
        "p25_aov_usd": 13.36,
        "p75_aov_usd": 63.74,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:23.051130+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Funeral & Cemetery Services account AOV: median $30.79; middle 50% $13.36–$63.74. Snapshot read 2026-10-11T14:08:23.051130+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/funeral-cemetery-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/funeral-cemetery-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Gambling & Betting Services",
      "slug": "gambling-betting-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/gambling-betting-services",
      "benchmark_url": "https://madgicx.com/labs/industries/gambling-betting-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/gambling-betting-services.md",
      "json_url": "https://madgicx.com/labs/industries/gambling-betting-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "gambling-betting-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 19.29,
        "p25_aov_usd": 7.03,
        "p75_aov_usd": 37.9,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:28.124214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Gambling & Betting Services account AOV: median $19.29; middle 50% $7.03–$37.90. Snapshot read 2026-10-11T14:08:28.124214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/gambling-betting-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/gambling-betting-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Government & Public Services",
      "slug": "government-public-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/government-public-services",
      "benchmark_url": "https://madgicx.com/labs/industries/government-public-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/government-public-services.md",
      "json_url": "https://madgicx.com/labs/industries/government-public-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "government-public-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:32.449213+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Government & Public Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:32.449213+00:00. https://madgicx.com/labs/industries/government-public-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/government-public-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Health Supplements & Nutrition",
      "slug": "health-supplements-nutrition",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "health-supplements-nutrition",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 49.57,
        "p25_aov_usd": 25.7,
        "p75_aov_usd": 75.56,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Health Supplements & Nutrition account AOV: median $49.57; middle 50% $25.70–$75.56. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Higher Education Institutions",
      "slug": "higher-education-institutions",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/higher-education-institutions",
      "benchmark_url": "https://madgicx.com/labs/industries/higher-education-institutions#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/higher-education-institutions.md",
      "json_url": "https://madgicx.com/labs/industries/higher-education-institutions.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "higher-education-institutions",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 22.53,
        "p25_aov_usd": 7.51,
        "p75_aov_usd": 85.56,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:54.387108+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Higher Education Institutions account AOV: median $22.53; middle 50% $7.51–$85.56. Snapshot read 2026-10-11T14:08:54.387108+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/higher-education-institutions#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/higher-education-institutions#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Educational Services & Training",
      "slug": "educational-services-training",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/educational-services-training",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "educational-services-training",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 68.68,
        "p25_aov_usd": 17.74,
        "p75_aov_usd": 218.77,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Educational Services & Training account AOV: median $68.68; middle 50% $17.74–$218.77. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Environmental & Sustainability Services",
      "slug": "environmental-sustainability-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "environmental-sustainability-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 50.68,
        "p25_aov_usd": 34.29,
        "p75_aov_usd": 72.4,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Environmental & Sustainability Services account AOV: median $50.68; middle 50% $34.29–$72.40. Snapshot read 2026-10-11T14:07:48.287920+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/environmental-sustainability-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Event & Entertainment Services",
      "slug": "event-entertainment-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/event-entertainment-services",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "event-entertainment-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 74.06,
        "p25_aov_usd": 38.88,
        "p75_aov_usd": 145.41,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Event & Entertainment Services account AOV: median $74.06; middle 50% $38.88–$145.41. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Financial Services & Fintech",
      "slug": "financial-services-fintech",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/financial-services-fintech",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "financial-services-fintech",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 23.15,
        "p25_aov_usd": 0.64,
        "p75_aov_usd": 129.51,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Financial Services & Fintech account AOV: median $23.15; middle 50% $0.64–$129.51. Snapshot read 2026-10-11T14:08:03.549255+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/financial-services-fintech#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fitness & Sports Services",
      "slug": "fitness-sports-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/fitness-sports-services",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "fitness-sports-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 64.02,
        "p25_aov_usd": 28.58,
        "p75_aov_usd": 148.39,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fitness & Sports Services account AOV: median $64.02; middle 50% $28.58–$148.39. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home & Local Services",
      "slug": "home-local-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/home-local-services",
      "benchmark_url": "https://madgicx.com/labs/industries/home-local-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-local-services.md",
      "json_url": "https://madgicx.com/labs/industries/home-local-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "home-local-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 102.37,
        "p25_aov_usd": 34.63,
        "p75_aov_usd": 1016.18,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:00.921050+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home & Local Services account AOV: median $102.37; middle 50% $34.63–$1,016.18. Snapshot read 2026-10-11T14:09:00.921050+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-local-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-local-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Improvement Tools & Materials",
      "slug": "home-improvement-tools-materials",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials",
      "benchmark_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials.md",
      "json_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "home-improvement-tools-materials",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 107.12,
        "p25_aov_usd": 29.48,
        "p75_aov_usd": 374.87,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:15.712448+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Improvement Tools & Materials account AOV: median $107.12; middle 50% $29.48–$374.87. Snapshot read 2026-10-11T14:09:15.712448+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-improvement-tools-materials#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Systems & Appliances",
      "slug": "home-systems-appliances",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/home-systems-appliances",
      "benchmark_url": "https://madgicx.com/labs/industries/home-systems-appliances#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-systems-appliances.md",
      "json_url": "https://madgicx.com/labs/industries/home-systems-appliances.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "home-systems-appliances",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 165.35,
        "p25_aov_usd": 49.94,
        "p75_aov_usd": 303.76,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:21.239057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Systems & Appliances account AOV: median $165.35; middle 50% $49.94–$303.76. Snapshot read 2026-10-11T14:09:21.239057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-systems-appliances#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-systems-appliances#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hospitality Services",
      "slug": "hospitality-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/hospitality-services",
      "benchmark_url": "https://madgicx.com/labs/industries/hospitality-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/hospitality-services.md",
      "json_url": "https://madgicx.com/labs/industries/hospitality-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "hospitality-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 485.78,
        "p25_aov_usd": 221.31,
        "p75_aov_usd": 1143.12,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:27.435723+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hospitality Services account AOV: median $485.78; middle 50% $221.31–$1,143.12. Snapshot read 2026-10-11T14:09:27.435723+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/hospitality-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/hospitality-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Industrial & Safety Equipment",
      "slug": "industrial-safety-equipment",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/industrial-safety-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/industrial-safety-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/industrial-safety-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/industrial-safety-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "industrial-safety-equipment",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 104.0,
        "p25_aov_usd": 50.33,
        "p75_aov_usd": 305.87,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:31.908762+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Industrial & Safety Equipment account AOV: median $104.00; middle 50% $50.33–$305.87. Snapshot read 2026-10-11T14:09:31.908762+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/industrial-safety-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/industrial-safety-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Insurance Services",
      "slug": "insurance-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/insurance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/insurance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/insurance-services.md",
      "json_url": "https://madgicx.com/labs/industries/insurance-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "insurance-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 74.84,
        "p25_aov_usd": 28.03,
        "p75_aov_usd": 166.01,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:37.376120+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Insurance Services account AOV: median $74.84; middle 50% $28.03–$166.01. Snapshot read 2026-10-11T14:09:37.376120+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/insurance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/insurance-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Intimate Wellness Products",
      "slug": "intimate-wellness-products",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/intimate-wellness-products",
      "benchmark_url": "https://madgicx.com/labs/industries/intimate-wellness-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/intimate-wellness-products.md",
      "json_url": "https://madgicx.com/labs/industries/intimate-wellness-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "intimate-wellness-products",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 28.94,
        "p25_aov_usd": 9.08,
        "p75_aov_usd": 58.97,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:42.076525+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Intimate Wellness Products account AOV: median $28.94; middle 50% $9.08–$58.97. Snapshot read 2026-10-11T14:09:42.076525+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/intimate-wellness-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/intimate-wellness-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Job Portals & Employment Platforms",
      "slug": "job-portals-employment-platforms",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "job-portals-employment-platforms",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 0.17,
        "p25_aov_usd": 0.09,
        "p75_aov_usd": 11.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:52.863370+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Job Portals & Employment Platforms account AOV: median $0.17; middle 50% $0.09–$11.20. Snapshot read 2026-10-11T14:09:52.863370+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/job-portals-employment-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "K-12 Education Institutions",
      "slug": "k-12-education-institutions",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/k-12-education-institutions",
      "benchmark_url": "https://madgicx.com/labs/industries/k-12-education-institutions#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/k-12-education-institutions.md",
      "json_url": "https://madgicx.com/labs/industries/k-12-education-institutions.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "k-12-education-institutions",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 68.29,
        "p25_aov_usd": 29.55,
        "p75_aov_usd": 294.23,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:58.157498+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. K-12 Education Institutions account AOV: median $68.29; middle 50% $29.55–$294.23. Snapshot read 2026-10-11T14:09:58.157498+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/k-12-education-institutions#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/k-12-education-institutions#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Legal Services",
      "slug": "legal-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/legal-services",
      "benchmark_url": "https://madgicx.com/labs/industries/legal-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/legal-services.md",
      "json_url": "https://madgicx.com/labs/industries/legal-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "legal-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 52.0,
        "p25_aov_usd": 11.76,
        "p75_aov_usd": 982.54,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:03.938869+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Legal Services account AOV: median $52.00; middle 50% $11.76–$982.54. Snapshot read 2026-10-11T14:10:03.938869+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/legal-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/legal-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Media & Entertainment",
      "slug": "media-entertainment",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/media-entertainment",
      "benchmark_url": "https://madgicx.com/labs/industries/media-entertainment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/media-entertainment.md",
      "json_url": "https://madgicx.com/labs/industries/media-entertainment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "media-entertainment",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 24.64,
        "p25_aov_usd": 7.25,
        "p75_aov_usd": 54.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:09.976538+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Media & Entertainment account AOV: median $24.64; middle 50% $7.25–$54.20. Snapshot read 2026-10-11T14:10:09.976538+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/media-entertainment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/media-entertainment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Medical Equipment & Supplies",
      "slug": "medical-equipment-supplies",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/medical-equipment-supplies",
      "benchmark_url": "https://madgicx.com/labs/industries/medical-equipment-supplies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/medical-equipment-supplies.md",
      "json_url": "https://madgicx.com/labs/industries/medical-equipment-supplies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "medical-equipment-supplies",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 156.47,
        "p25_aov_usd": 67.46,
        "p75_aov_usd": 398.87,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:14.338636+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Medical Equipment & Supplies account AOV: median $156.47; middle 50% $67.46–$398.87. Snapshot read 2026-10-11T14:10:14.338636+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/medical-equipment-supplies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/medical-equipment-supplies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Metaphysical & Spiritual Services",
      "slug": "metaphysical-spiritual-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services",
      "benchmark_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services.md",
      "json_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "metaphysical-spiritual-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 18.38,
        "p25_aov_usd": 6.31,
        "p75_aov_usd": 47.98,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:19.233856+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Metaphysical & Spiritual Services account AOV: median $18.38; middle 50% $6.31–$47.98. Snapshot read 2026-10-11T14:10:19.233856+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/metaphysical-spiritual-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "News & Information Media",
      "slug": "news-information-media",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/news-information-media",
      "benchmark_url": "https://madgicx.com/labs/industries/news-information-media#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/news-information-media.md",
      "json_url": "https://madgicx.com/labs/industries/news-information-media.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "news-information-media",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 29.7,
        "p25_aov_usd": 1.0,
        "p75_aov_usd": 34.64,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:23.508070+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. News & Information Media account AOV: median $29.70; middle 50% $1.00–$34.64. Snapshot read 2026-10-11T14:10:23.508070+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/news-information-media#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/news-information-media#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Nonprofit & Social Organizations",
      "slug": "nonprofit-social-organizations",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations",
      "benchmark_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations.md",
      "json_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "nonprofit-social-organizations",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 29.48,
        "p25_aov_usd": 7.46,
        "p75_aov_usd": 57.04,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:28.346662+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Nonprofit & Social Organizations account AOV: median $29.48; middle 50% $7.46–$57.04. Snapshot read 2026-10-11T14:10:28.346662+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/nonprofit-social-organizations#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Passenger Transportation Services",
      "slug": "passenger-transportation-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/passenger-transportation-services",
      "benchmark_url": "https://madgicx.com/labs/industries/passenger-transportation-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/passenger-transportation-services.md",
      "json_url": "https://madgicx.com/labs/industries/passenger-transportation-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "passenger-transportation-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 125.71,
        "p25_aov_usd": 38.91,
        "p75_aov_usd": 278.7,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:36.491716+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Passenger Transportation Services account AOV: median $125.71; middle 50% $38.91–$278.70. Snapshot read 2026-10-11T14:10:36.491716+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/passenger-transportation-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/passenger-transportation-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Personal Coaching & Development",
      "slug": "personal-coaching-development",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/personal-coaching-development",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "personal-coaching-development",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 42.37,
        "p25_aov_usd": 9.41,
        "p75_aov_usd": 148.83,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Personal Coaching & Development account AOV: median $42.37; middle 50% $9.41–$148.83. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pet Care Products & Services",
      "slug": "pet-care-products-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/pet-care-products-services",
      "benchmark_url": "https://madgicx.com/labs/industries/pet-care-products-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pet-care-products-services.md",
      "json_url": "https://madgicx.com/labs/industries/pet-care-products-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "pet-care-products-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 55.83,
        "p25_aov_usd": 32.74,
        "p75_aov_usd": 85.45,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:48.714732+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pet Care Products & Services account AOV: median $55.83; middle 50% $32.74–$85.45. Snapshot read 2026-10-11T14:10:48.714732+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/pet-care-products-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pet-care-products-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pharmaceutical Products",
      "slug": "pharmaceutical-products",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/pharmaceutical-products",
      "benchmark_url": "https://madgicx.com/labs/industries/pharmaceutical-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pharmaceutical-products.md",
      "json_url": "https://madgicx.com/labs/industries/pharmaceutical-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "pharmaceutical-products",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 48.71,
        "p25_aov_usd": 30.71,
        "p75_aov_usd": 197.81,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:53.837621+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pharmaceutical Products account AOV: median $48.71; middle 50% $30.71–$197.81. Snapshot read 2026-10-11T14:10:53.837621+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/pharmaceutical-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pharmaceutical-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Political & Civic Organizations",
      "slug": "political-civic-organizations",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/political-civic-organizations",
      "benchmark_url": "https://madgicx.com/labs/industries/political-civic-organizations#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/political-civic-organizations.md",
      "json_url": "https://madgicx.com/labs/industries/political-civic-organizations.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "political-civic-organizations",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 42.33,
        "p25_aov_usd": 20.22,
        "p75_aov_usd": 50.0,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:58.703559+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Political & Civic Organizations account AOV: median $42.33; middle 50% $20.22–$50.00. Snapshot read 2026-10-11T14:10:58.703559+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/political-civic-organizations#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/political-civic-organizations#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Printing & Publishing Services",
      "slug": "printing-publishing-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/printing-publishing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/printing-publishing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/printing-publishing-services.md",
      "json_url": "https://madgicx.com/labs/industries/printing-publishing-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "printing-publishing-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 37.84,
        "p25_aov_usd": 24.0,
        "p75_aov_usd": 72.8,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:03.342753+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Printing & Publishing Services account AOV: median $37.84; middle 50% $24.00–$72.80. Snapshot read 2026-10-11T14:11:03.342753+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/printing-publishing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/printing-publishing-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Real Estate Services",
      "slug": "real-estate-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/real-estate-services",
      "benchmark_url": "https://madgicx.com/labs/industries/real-estate-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/real-estate-services.md",
      "json_url": "https://madgicx.com/labs/industries/real-estate-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "real-estate-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 73.7,
        "p25_aov_usd": 24.81,
        "p75_aov_usd": 1081.19,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:11.121946+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Real Estate Services account AOV: median $73.70; middle 50% $24.81–$1,081.19. Snapshot read 2026-10-11T14:11:11.121946+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/real-estate-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/real-estate-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Recruitment & HR Services",
      "slug": "recruitment-hr-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/recruitment-hr-services",
      "benchmark_url": "https://madgicx.com/labs/industries/recruitment-hr-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/recruitment-hr-services.md",
      "json_url": "https://madgicx.com/labs/industries/recruitment-hr-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "recruitment-hr-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 3.37,
        "p25_aov_usd": 1.0,
        "p75_aov_usd": 299.69,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:15.987274+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Recruitment & HR Services account AOV: median $3.37; middle 50% $1.00–$299.69. Snapshot read 2026-10-11T14:11:15.987274+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/recruitment-hr-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/recruitment-hr-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Religious Organizations & Worship",
      "slug": "religious-organizations-worship",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/religious-organizations-worship",
      "benchmark_url": "https://madgicx.com/labs/industries/religious-organizations-worship#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/religious-organizations-worship.md",
      "json_url": "https://madgicx.com/labs/industries/religious-organizations-worship.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "religious-organizations-worship",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 30.39,
        "p25_aov_usd": 11.53,
        "p75_aov_usd": 66.88,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:21.001573+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Religious Organizations & Worship account AOV: median $30.39; middle 50% $11.53–$66.88. Snapshot read 2026-10-11T14:11:21.001573+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/religious-organizations-worship#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/religious-organizations-worship#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Restaurant & Food Services",
      "slug": "restaurant-food-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/restaurant-food-services",
      "benchmark_url": "https://madgicx.com/labs/industries/restaurant-food-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/restaurant-food-services.md",
      "json_url": "https://madgicx.com/labs/industries/restaurant-food-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "restaurant-food-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 36.41,
        "p25_aov_usd": 16.97,
        "p75_aov_usd": 71.79,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:34.595470+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Restaurant & Food Services account AOV: median $36.41; middle 50% $16.97–$71.79. Snapshot read 2026-10-11T14:11:34.595470+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/restaurant-food-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/restaurant-food-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Other",
      "slug": "other",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/other",
      "benchmark_url": "https://madgicx.com/labs/industries/other#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/other.md",
      "json_url": "https://madgicx.com/labs/industries/other.json",
      "benchmark": {
        "status": "unavailable_no_peer_group",
        "slug": "other",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "No exact category peer group is available for a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:31.359912+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Other: no publishable AOV benchmark. No exact category peer group is available for a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:31.359912+00:00. https://madgicx.com/labs/industries/other#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/other#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Senior Care Services",
      "slug": "senior-care-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/senior-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "senior-care-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 20.25,
        "p25_aov_usd": 0.95,
        "p75_aov_usd": 168.66,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Senior Care Services account AOV: median $20.25; middle 50% $0.95–$168.66. Snapshot read 2026-10-11T14:11:39.483687+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/senior-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Sports & Outdoor Equipment",
      "slug": "sports-outdoor-equipment",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "sports-outdoor-equipment",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 136.29,
        "p25_aov_usd": 68.47,
        "p75_aov_usd": 292.99,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Sports & Outdoor Equipment account AOV: median $136.29; middle 50% $68.47–$292.99. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Stock Media & Content Platforms",
      "slug": "stock-media-content-platforms",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "stock-media-content-platforms",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Stock Media & Content Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Telecommunications Services",
      "slug": "telecommunications-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/telecommunications-services",
      "benchmark_url": "https://madgicx.com/labs/industries/telecommunications-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/telecommunications-services.md",
      "json_url": "https://madgicx.com/labs/industries/telecommunications-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "telecommunications-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 25.05,
        "p25_aov_usd": 10.3,
        "p75_aov_usd": 60.95,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:02.976137+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Telecommunications Services account AOV: median $25.05; middle 50% $10.30–$60.95. Snapshot read 2026-10-11T14:12:02.976137+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/telecommunications-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/telecommunications-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Toys Games & Hobbies",
      "slug": "toys-games-hobbies",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/toys-games-hobbies",
      "benchmark_url": "https://madgicx.com/labs/industries/toys-games-hobbies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/toys-games-hobbies.md",
      "json_url": "https://madgicx.com/labs/industries/toys-games-hobbies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "toys-games-hobbies",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 49.22,
        "p25_aov_usd": 26.09,
        "p75_aov_usd": 84.77,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:08.001520+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Toys Games & Hobbies account AOV: median $49.22; middle 50% $26.09–$84.77. Snapshot read 2026-10-11T14:12:08.001520+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/toys-games-hobbies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/toys-games-hobbies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Transportation & Logistics",
      "slug": "transportation-logistics",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/transportation-logistics",
      "benchmark_url": "https://madgicx.com/labs/industries/transportation-logistics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/transportation-logistics.md",
      "json_url": "https://madgicx.com/labs/industries/transportation-logistics.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "transportation-logistics",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 47.08,
        "p25_aov_usd": 19.19,
        "p75_aov_usd": 133.41,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:12.821423+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Transportation & Logistics account AOV: median $47.08; middle 50% $19.19–$133.41. Snapshot read 2026-10-11T14:12:12.821423+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/transportation-logistics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/transportation-logistics#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Utilities & Home Infrastructure Services",
      "slug": "utilities-home-infrastructure-services",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "utilities-home-infrastructure-services",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 297.88,
        "p25_aov_usd": 50.45,
        "p75_aov_usd": 400.0,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Utilities & Home Infrastructure Services account AOV: median $297.88; middle 50% $50.45–$400.00. Snapshot read 2026-10-11T14:12:22.789630+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/utilities-home-infrastructure-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vehicle Sales & Transportation Products",
      "slug": "vehicle-sales-transportation-products",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products",
      "benchmark_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products.md",
      "json_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "vehicle-sales-transportation-products",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 532.05,
        "p25_aov_usd": 5.17,
        "p75_aov_usd": 2003.56,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:28.221736+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vehicle Sales & Transportation Products account AOV: median $532.05; middle 50% $5.17–$2,003.56. Snapshot read 2026-10-11T14:12:28.221736+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/vehicle-sales-transportation-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Video Games & Esports",
      "slug": "video-games-esports",
      "kind": "industry",
      "parent_slug": null,
      "url": "https://madgicx.com/labs/industries/video-games-esports",
      "benchmark_url": "https://madgicx.com/labs/industries/video-games-esports#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/video-games-esports.md",
      "json_url": "https://madgicx.com/labs/industries/video-games-esports.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "video-games-esports",
        "parent_slug": null,
        "cohort_scope": "root_and_children",
        "median_aov_usd": 15.34,
        "p25_aov_usd": 4.67,
        "p75_aov_usd": 107.16,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:32.450764+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Video Games & Esports account AOV: median $15.34; middle 50% $4.67–$107.16. Snapshot read 2026-10-11T14:12:32.450764+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/video-games-esports#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/video-games-esports#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Beverage Products",
      "slug": "beverage-products",
      "kind": "subcategory",
      "parent_slug": "food-beverage-products",
      "url": "https://madgicx.com/labs/industries/food-beverage-products/beverage-products",
      "benchmark_url": "https://madgicx.com/labs/industries/food-beverage-products/beverage-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/food-beverage-products/beverage-products.md",
      "json_url": "https://madgicx.com/labs/industries/food-beverage-products/beverage-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "beverage-products",
        "parent_slug": "food-beverage-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 55.15,
        "p25_aov_usd": 34.86,
        "p75_aov_usd": 95.4,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:18.765886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Beverage Products account AOV: median $55.15; middle 50% $34.86–$95.40. Snapshot read 2026-10-11T14:08:18.765886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/food-beverage-products/beverage-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/food-beverage-products/beverage-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fresh Perishable Foods",
      "slug": "fresh-perishable-foods",
      "kind": "subcategory",
      "parent_slug": "food-beverage-products",
      "url": "https://madgicx.com/labs/industries/food-beverage-products/fresh-perishable-foods",
      "benchmark_url": "https://madgicx.com/labs/industries/food-beverage-products/fresh-perishable-foods#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/food-beverage-products/fresh-perishable-foods.md",
      "json_url": "https://madgicx.com/labs/industries/food-beverage-products/fresh-perishable-foods.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "fresh-perishable-foods",
        "parent_slug": "food-beverage-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 57.42,
        "p25_aov_usd": 16.39,
        "p75_aov_usd": 115.6,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:18.765886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fresh Perishable Foods account AOV: median $57.42; middle 50% $16.39–$115.60. Snapshot read 2026-10-11T14:08:18.765886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/food-beverage-products/fresh-perishable-foods#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/food-beverage-products/fresh-perishable-foods#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Grocery Retail Products",
      "slug": "grocery-retail-products",
      "kind": "subcategory",
      "parent_slug": "food-beverage-products",
      "url": "https://madgicx.com/labs/industries/food-beverage-products/grocery-retail-products",
      "benchmark_url": "https://madgicx.com/labs/industries/food-beverage-products/grocery-retail-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/food-beverage-products/grocery-retail-products.md",
      "json_url": "https://madgicx.com/labs/industries/food-beverage-products/grocery-retail-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "grocery-retail-products",
        "parent_slug": "food-beverage-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 31.79,
        "p25_aov_usd": 10.18,
        "p75_aov_usd": 62.46,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:18.765886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Grocery Retail Products account AOV: median $31.79; middle 50% $10.18–$62.46. Snapshot read 2026-10-11T14:08:18.765886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/food-beverage-products/grocery-retail-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/food-beverage-products/grocery-retail-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Meal Kit Delivery Services",
      "slug": "meal-kit-delivery-services",
      "kind": "subcategory",
      "parent_slug": "food-beverage-products",
      "url": "https://madgicx.com/labs/industries/food-beverage-products/meal-kit-delivery-services",
      "benchmark_url": "https://madgicx.com/labs/industries/food-beverage-products/meal-kit-delivery-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/food-beverage-products/meal-kit-delivery-services.md",
      "json_url": "https://madgicx.com/labs/industries/food-beverage-products/meal-kit-delivery-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "meal-kit-delivery-services",
        "parent_slug": "food-beverage-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:18.765886+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Meal Kit Delivery Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:18.765886+00:00. https://madgicx.com/labs/industries/food-beverage-products/meal-kit-delivery-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/food-beverage-products/meal-kit-delivery-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Packaged Food Products",
      "slug": "packaged-food-products",
      "kind": "subcategory",
      "parent_slug": "food-beverage-products",
      "url": "https://madgicx.com/labs/industries/food-beverage-products/packaged-food-products",
      "benchmark_url": "https://madgicx.com/labs/industries/food-beverage-products/packaged-food-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/food-beverage-products/packaged-food-products.md",
      "json_url": "https://madgicx.com/labs/industries/food-beverage-products/packaged-food-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "packaged-food-products",
        "parent_slug": "food-beverage-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 41.15,
        "p25_aov_usd": 15.78,
        "p75_aov_usd": 67.77,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:18.765886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Packaged Food Products account AOV: median $41.15; middle 50% $15.78–$67.77. Snapshot read 2026-10-11T14:08:18.765886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/food-beverage-products/packaged-food-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/food-beverage-products/packaged-food-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Snack Confectionery Products",
      "slug": "snack-confectionery-products",
      "kind": "subcategory",
      "parent_slug": "food-beverage-products",
      "url": "https://madgicx.com/labs/industries/food-beverage-products/snack-confectionery-products",
      "benchmark_url": "https://madgicx.com/labs/industries/food-beverage-products/snack-confectionery-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/food-beverage-products/snack-confectionery-products.md",
      "json_url": "https://madgicx.com/labs/industries/food-beverage-products/snack-confectionery-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "snack-confectionery-products",
        "parent_slug": "food-beverage-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 29.17,
        "p25_aov_usd": 9.61,
        "p75_aov_usd": 57.56,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:18.765886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Snack Confectionery Products account AOV: median $29.17; middle 50% $9.61–$57.56. Snapshot read 2026-10-11T14:08:18.765886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/food-beverage-products/snack-confectionery-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/food-beverage-products/snack-confectionery-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Engagement Wedding Jewelry",
      "slug": "engagement-wedding-jewelry",
      "kind": "subcategory",
      "parent_slug": "jewelry-accessories",
      "url": "https://madgicx.com/labs/industries/jewelry-accessories/engagement-wedding-jewelry",
      "benchmark_url": "https://madgicx.com/labs/industries/jewelry-accessories/engagement-wedding-jewelry#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/jewelry-accessories/engagement-wedding-jewelry.md",
      "json_url": "https://madgicx.com/labs/industries/jewelry-accessories/engagement-wedding-jewelry.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "engagement-wedding-jewelry",
        "parent_slug": "jewelry-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 248.0,
        "p25_aov_usd": 140.17,
        "p75_aov_usd": 840.32,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:48.552867+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Engagement Wedding Jewelry account AOV: median $248.00; middle 50% $140.17–$840.32. Snapshot read 2026-10-11T14:09:48.552867+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/jewelry-accessories/engagement-wedding-jewelry#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/jewelry-accessories/engagement-wedding-jewelry#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fashion Jewelry Accessories",
      "slug": "fashion-jewelry-accessories",
      "kind": "subcategory",
      "parent_slug": "jewelry-accessories",
      "url": "https://madgicx.com/labs/industries/jewelry-accessories/fashion-jewelry-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/jewelry-accessories/fashion-jewelry-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/jewelry-accessories/fashion-jewelry-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/jewelry-accessories/fashion-jewelry-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "fashion-jewelry-accessories",
        "parent_slug": "jewelry-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 54.81,
        "p25_aov_usd": 26.74,
        "p75_aov_usd": 111.75,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:48.552867+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fashion Jewelry Accessories account AOV: median $54.81; middle 50% $26.74–$111.75. Snapshot read 2026-10-11T14:09:48.552867+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/jewelry-accessories/fashion-jewelry-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/jewelry-accessories/fashion-jewelry-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fine Jewelry Collections",
      "slug": "fine-jewelry-collections",
      "kind": "subcategory",
      "parent_slug": "jewelry-accessories",
      "url": "https://madgicx.com/labs/industries/jewelry-accessories/fine-jewelry-collections",
      "benchmark_url": "https://madgicx.com/labs/industries/jewelry-accessories/fine-jewelry-collections#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/jewelry-accessories/fine-jewelry-collections.md",
      "json_url": "https://madgicx.com/labs/industries/jewelry-accessories/fine-jewelry-collections.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "fine-jewelry-collections",
        "parent_slug": "jewelry-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 305.9,
        "p25_aov_usd": 102.14,
        "p75_aov_usd": 870.8,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:48.552867+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fine Jewelry Collections account AOV: median $305.90; middle 50% $102.14–$870.80. Snapshot read 2026-10-11T14:09:48.552867+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/jewelry-accessories/fine-jewelry-collections#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/jewelry-accessories/fine-jewelry-collections#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Gemstone Mineral Jewelry",
      "slug": "gemstone-mineral-jewelry",
      "kind": "subcategory",
      "parent_slug": "jewelry-accessories",
      "url": "https://madgicx.com/labs/industries/jewelry-accessories/gemstone-mineral-jewelry",
      "benchmark_url": "https://madgicx.com/labs/industries/jewelry-accessories/gemstone-mineral-jewelry#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/jewelry-accessories/gemstone-mineral-jewelry.md",
      "json_url": "https://madgicx.com/labs/industries/jewelry-accessories/gemstone-mineral-jewelry.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "gemstone-mineral-jewelry",
        "parent_slug": "jewelry-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 50.51,
        "p25_aov_usd": 32.68,
        "p75_aov_usd": 123.64,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:48.552867+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Gemstone Mineral Jewelry account AOV: median $50.51; middle 50% $32.68–$123.64. Snapshot read 2026-10-11T14:09:48.552867+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/jewelry-accessories/gemstone-mineral-jewelry#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/jewelry-accessories/gemstone-mineral-jewelry#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Precious Metal Products",
      "slug": "precious-metal-products",
      "kind": "subcategory",
      "parent_slug": "jewelry-accessories",
      "url": "https://madgicx.com/labs/industries/jewelry-accessories/precious-metal-products",
      "benchmark_url": "https://madgicx.com/labs/industries/jewelry-accessories/precious-metal-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/jewelry-accessories/precious-metal-products.md",
      "json_url": "https://madgicx.com/labs/industries/jewelry-accessories/precious-metal-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "precious-metal-products",
        "parent_slug": "jewelry-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 107.0,
        "p25_aov_usd": 34.6,
        "p75_aov_usd": 373.25,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:48.552867+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Precious Metal Products account AOV: median $107.00; middle 50% $34.60–$373.25. Snapshot read 2026-10-11T14:09:48.552867+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/jewelry-accessories/precious-metal-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/jewelry-accessories/precious-metal-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Watches Timepieces",
      "slug": "watches-timepieces",
      "kind": "subcategory",
      "parent_slug": "jewelry-accessories",
      "url": "https://madgicx.com/labs/industries/jewelry-accessories/watches-timepieces",
      "benchmark_url": "https://madgicx.com/labs/industries/jewelry-accessories/watches-timepieces#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/jewelry-accessories/watches-timepieces.md",
      "json_url": "https://madgicx.com/labs/industries/jewelry-accessories/watches-timepieces.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "watches-timepieces",
        "parent_slug": "jewelry-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 158.81,
        "p25_aov_usd": 52.44,
        "p75_aov_usd": 343.01,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:48.552867+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Watches Timepieces account AOV: median $158.81; middle 50% $52.44–$343.01. Snapshot read 2026-10-11T14:09:48.552867+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/jewelry-accessories/watches-timepieces#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/jewelry-accessories/watches-timepieces#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Audio Equipment & Headphones",
      "slug": "audio-equipment-headphones",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/audio-equipment-headphones",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/audio-equipment-headphones#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/audio-equipment-headphones.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/audio-equipment-headphones.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "audio-equipment-headphones",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 77.29,
        "p25_aov_usd": 28.93,
        "p75_aov_usd": 140.35,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Audio Equipment & Headphones account AOV: median $77.29; middle 50% $28.93–$140.35. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/audio-equipment-headphones#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/audio-equipment-headphones#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Camera & Photography Equipment",
      "slug": "camera-photography-equipment",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/camera-photography-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/camera-photography-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/camera-photography-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/camera-photography-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "camera-photography-equipment",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 131.35,
        "p25_aov_usd": 83.51,
        "p75_aov_usd": 356.6,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Camera & Photography Equipment account AOV: median $131.35; middle 50% $83.51–$356.60. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/camera-photography-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/camera-photography-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Computers & Laptops",
      "slug": "computers-laptops",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/computers-laptops",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/computers-laptops#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/computers-laptops.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/computers-laptops.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "computers-laptops",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 385.85,
        "p25_aov_usd": 129.71,
        "p75_aov_usd": 697.15,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Computers & Laptops account AOV: median $385.85; middle 50% $129.71–$697.15. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/computers-laptops#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/computers-laptops#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Gaming Electronics & Consoles",
      "slug": "gaming-electronics-consoles",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/gaming-electronics-consoles",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/gaming-electronics-consoles#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/gaming-electronics-consoles.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/gaming-electronics-consoles.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "gaming-electronics-consoles",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 275.76,
        "p25_aov_usd": 236.27,
        "p75_aov_usd": 357.73,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Gaming Electronics & Consoles account AOV: median $275.76; middle 50% $236.27–$357.73. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/gaming-electronics-consoles#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/gaming-electronics-consoles#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Smart Home Electronics",
      "slug": "smart-home-electronics",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/smart-home-electronics",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/smart-home-electronics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/smart-home-electronics.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/smart-home-electronics.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "smart-home-electronics",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 70.62,
        "p25_aov_usd": 28.12,
        "p75_aov_usd": 190.81,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Smart Home Electronics account AOV: median $70.62; middle 50% $28.12–$190.81. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/smart-home-electronics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/smart-home-electronics#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Smartphones & Mobile Devices",
      "slug": "smartphones-mobile-devices",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/smartphones-mobile-devices",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/smartphones-mobile-devices#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/smartphones-mobile-devices.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/smartphones-mobile-devices.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "smartphones-mobile-devices",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 273.71,
        "p25_aov_usd": 45.55,
        "p75_aov_usd": 734.99,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Smartphones & Mobile Devices account AOV: median $273.71; middle 50% $45.55–$734.99. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/smartphones-mobile-devices#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/smartphones-mobile-devices#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Tech Accessories & Peripherals",
      "slug": "tech-accessories-peripherals",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/tech-accessories-peripherals",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/tech-accessories-peripherals#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/tech-accessories-peripherals.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/tech-accessories-peripherals.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "tech-accessories-peripherals",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 22.48,
        "p25_aov_usd": 9.92,
        "p75_aov_usd": 53.05,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Tech Accessories & Peripherals account AOV: median $22.48; middle 50% $9.92–$53.05. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/tech-accessories-peripherals#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/tech-accessories-peripherals#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Wearable Tech Devices",
      "slug": "wearable-tech-devices",
      "kind": "subcategory",
      "parent_slug": "electronics-tech-devices",
      "url": "https://madgicx.com/labs/industries/electronics-tech-devices/wearable-tech-devices",
      "benchmark_url": "https://madgicx.com/labs/industries/electronics-tech-devices/wearable-tech-devices#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/electronics-tech-devices/wearable-tech-devices.md",
      "json_url": "https://madgicx.com/labs/industries/electronics-tech-devices/wearable-tech-devices.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "wearable-tech-devices",
        "parent_slug": "electronics-tech-devices",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.64,
        "p25_aov_usd": 25.7,
        "p75_aov_usd": 85.34,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:43.571979+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Wearable Tech Devices account AOV: median $48.64; middle 50% $25.70–$85.34. Snapshot read 2026-10-11T14:07:43.571979+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/electronics-tech-devices/wearable-tech-devices#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/electronics-tech-devices/wearable-tech-devices#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Furniture Products",
      "slug": "furniture-products",
      "kind": "subcategory",
      "parent_slug": "home-goods-furnishings",
      "url": "https://madgicx.com/labs/industries/home-goods-furnishings/furniture-products",
      "benchmark_url": "https://madgicx.com/labs/industries/home-goods-furnishings/furniture-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-goods-furnishings/furniture-products.md",
      "json_url": "https://madgicx.com/labs/industries/home-goods-furnishings/furniture-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "furniture-products",
        "parent_slug": "home-goods-furnishings",
        "cohort_scope": "exact_child",
        "median_aov_usd": 316.01,
        "p25_aov_usd": 109.0,
        "p75_aov_usd": 730.49,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:09.415507+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Furniture Products account AOV: median $316.01; middle 50% $109.00–$730.49. Snapshot read 2026-10-11T14:09:09.415507+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-goods-furnishings/furniture-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-goods-furnishings/furniture-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Decor Accessories",
      "slug": "home-decor-accessories",
      "kind": "subcategory",
      "parent_slug": "home-goods-furnishings",
      "url": "https://madgicx.com/labs/industries/home-goods-furnishings/home-decor-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/home-goods-furnishings/home-decor-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-goods-furnishings/home-decor-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/home-goods-furnishings/home-decor-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "home-decor-accessories",
        "parent_slug": "home-goods-furnishings",
        "cohort_scope": "exact_child",
        "median_aov_usd": 66.09,
        "p25_aov_usd": 31.16,
        "p75_aov_usd": 142.48,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:09.415507+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Decor Accessories account AOV: median $66.09; middle 50% $31.16–$142.48. Snapshot read 2026-10-11T14:09:09.415507+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-goods-furnishings/home-decor-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-goods-furnishings/home-decor-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Lighting Fixtures",
      "slug": "lighting-fixtures",
      "kind": "subcategory",
      "parent_slug": "home-goods-furnishings",
      "url": "https://madgicx.com/labs/industries/home-goods-furnishings/lighting-fixtures",
      "benchmark_url": "https://madgicx.com/labs/industries/home-goods-furnishings/lighting-fixtures#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-goods-furnishings/lighting-fixtures.md",
      "json_url": "https://madgicx.com/labs/industries/home-goods-furnishings/lighting-fixtures.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "lighting-fixtures",
        "parent_slug": "home-goods-furnishings",
        "cohort_scope": "exact_child",
        "median_aov_usd": 126.7,
        "p25_aov_usd": 50.18,
        "p75_aov_usd": 203.49,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:09.415507+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Lighting Fixtures account AOV: median $126.70; middle 50% $50.18–$203.49. Snapshot read 2026-10-11T14:09:09.415507+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-goods-furnishings/lighting-fixtures#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-goods-furnishings/lighting-fixtures#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Rugs Floor Coverings",
      "slug": "rugs-floor-coverings",
      "kind": "subcategory",
      "parent_slug": "home-goods-furnishings",
      "url": "https://madgicx.com/labs/industries/home-goods-furnishings/rugs-floor-coverings",
      "benchmark_url": "https://madgicx.com/labs/industries/home-goods-furnishings/rugs-floor-coverings#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-goods-furnishings/rugs-floor-coverings.md",
      "json_url": "https://madgicx.com/labs/industries/home-goods-furnishings/rugs-floor-coverings.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "rugs-floor-coverings",
        "parent_slug": "home-goods-furnishings",
        "cohort_scope": "exact_child",
        "median_aov_usd": 153.44,
        "p25_aov_usd": 81.88,
        "p75_aov_usd": 297.5,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:09.415507+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Rugs Floor Coverings account AOV: median $153.44; middle 50% $81.88–$297.50. Snapshot read 2026-10-11T14:09:09.415507+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-goods-furnishings/rugs-floor-coverings#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-goods-furnishings/rugs-floor-coverings#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Textiles Bedding",
      "slug": "textiles-bedding",
      "kind": "subcategory",
      "parent_slug": "home-goods-furnishings",
      "url": "https://madgicx.com/labs/industries/home-goods-furnishings/textiles-bedding",
      "benchmark_url": "https://madgicx.com/labs/industries/home-goods-furnishings/textiles-bedding#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-goods-furnishings/textiles-bedding.md",
      "json_url": "https://madgicx.com/labs/industries/home-goods-furnishings/textiles-bedding.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "textiles-bedding",
        "parent_slug": "home-goods-furnishings",
        "cohort_scope": "exact_child",
        "median_aov_usd": 99.62,
        "p25_aov_usd": 39.76,
        "p75_aov_usd": 213.02,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:09.415507+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Textiles Bedding account AOV: median $99.62; middle 50% $39.76–$213.02. Snapshot read 2026-10-11T14:09:09.415507+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-goods-furnishings/textiles-bedding#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-goods-furnishings/textiles-bedding#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Wall Decor Art",
      "slug": "wall-decor-art",
      "kind": "subcategory",
      "parent_slug": "home-goods-furnishings",
      "url": "https://madgicx.com/labs/industries/home-goods-furnishings/wall-decor-art",
      "benchmark_url": "https://madgicx.com/labs/industries/home-goods-furnishings/wall-decor-art#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-goods-furnishings/wall-decor-art.md",
      "json_url": "https://madgicx.com/labs/industries/home-goods-furnishings/wall-decor-art.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "wall-decor-art",
        "parent_slug": "home-goods-furnishings",
        "cohort_scope": "exact_child",
        "median_aov_usd": 115.09,
        "p25_aov_usd": 44.81,
        "p75_aov_usd": 218.13,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:09.415507+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Wall Decor Art account AOV: median $115.09; middle 50% $44.81–$218.13. Snapshot read 2026-10-11T14:09:09.415507+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-goods-furnishings/wall-decor-art#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-goods-furnishings/wall-decor-art#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Flight Booking Platforms",
      "slug": "flight-booking-platforms",
      "kind": "subcategory",
      "parent_slug": "travel-booking-platforms",
      "url": "https://madgicx.com/labs/industries/travel-booking-platforms/flight-booking-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/travel-booking-platforms/flight-booking-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/travel-booking-platforms/flight-booking-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/travel-booking-platforms/flight-booking-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "flight-booking-platforms",
        "parent_slug": "travel-booking-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.55,
        "p25_aov_usd": 41.36,
        "p75_aov_usd": 99.29,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:18.447771+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Flight Booking Platforms account AOV: median $48.55; middle 50% $41.36–$99.29. Snapshot read 2026-10-11T14:12:18.447771+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/travel-booking-platforms/flight-booking-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/travel-booking-platforms/flight-booking-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hotel Booking Platforms",
      "slug": "hotel-booking-platforms",
      "kind": "subcategory",
      "parent_slug": "travel-booking-platforms",
      "url": "https://madgicx.com/labs/industries/travel-booking-platforms/hotel-booking-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/travel-booking-platforms/hotel-booking-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/travel-booking-platforms/hotel-booking-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/travel-booking-platforms/hotel-booking-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "hotel-booking-platforms",
        "parent_slug": "travel-booking-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 232.96,
        "p25_aov_usd": 99.43,
        "p75_aov_usd": 326.37,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:18.447771+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hotel Booking Platforms account AOV: median $232.96; middle 50% $99.43–$326.37. Snapshot read 2026-10-11T14:12:18.447771+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/travel-booking-platforms/hotel-booking-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/travel-booking-platforms/hotel-booking-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Travel Booking Software",
      "slug": "travel-booking-software",
      "kind": "subcategory",
      "parent_slug": "travel-booking-platforms",
      "url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-booking-software",
      "benchmark_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-booking-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-booking-software.md",
      "json_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-booking-software.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "travel-booking-software",
        "parent_slug": "travel-booking-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:18.447771+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Travel Booking Software: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:18.447771+00:00. https://madgicx.com/labs/industries/travel-booking-platforms/travel-booking-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-booking-software#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Travel Deal Platforms",
      "slug": "travel-deal-platforms",
      "kind": "subcategory",
      "parent_slug": "travel-booking-platforms",
      "url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-deal-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-deal-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-deal-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-deal-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "travel-deal-platforms",
        "parent_slug": "travel-booking-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 104.9,
        "p25_aov_usd": 30.27,
        "p75_aov_usd": 236.34,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:18.447771+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Travel Deal Platforms account AOV: median $104.90; middle 50% $30.27–$236.34. Snapshot read 2026-10-11T14:12:18.447771+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/travel-booking-platforms/travel-deal-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-deal-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Travel Search Engines",
      "slug": "travel-search-engines",
      "kind": "subcategory",
      "parent_slug": "travel-booking-platforms",
      "url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-search-engines",
      "benchmark_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-search-engines#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-search-engines.md",
      "json_url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-search-engines.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "travel-search-engines",
        "parent_slug": "travel-booking-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:18.447771+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Travel Search Engines: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:18.447771+00:00. https://madgicx.com/labs/industries/travel-booking-platforms/travel-search-engines#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/travel-booking-platforms/travel-search-engines#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vacation Package Platforms",
      "slug": "vacation-package-platforms",
      "kind": "subcategory",
      "parent_slug": "travel-booking-platforms",
      "url": "https://madgicx.com/labs/industries/travel-booking-platforms/vacation-package-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/travel-booking-platforms/vacation-package-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/travel-booking-platforms/vacation-package-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/travel-booking-platforms/vacation-package-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "vacation-package-platforms",
        "parent_slug": "travel-booking-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 1526.24,
        "p25_aov_usd": 434.12,
        "p75_aov_usd": 3110.74,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:18.447771+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vacation Package Platforms account AOV: median $1,526.24; middle 50% $434.12–$3,110.74. Snapshot read 2026-10-11T14:12:18.447771+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/travel-booking-platforms/vacation-package-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/travel-booking-platforms/vacation-package-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Alternative Medicine Services",
      "slug": "alternative-medicine-services",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/alternative-medicine-services",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/alternative-medicine-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/alternative-medicine-services.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/alternative-medicine-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "alternative-medicine-services",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 67.28,
        "p25_aov_usd": 28.95,
        "p75_aov_usd": 135.34,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Alternative Medicine Services account AOV: median $67.28; middle 50% $28.95–$135.34. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/alternative-medicine-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/alternative-medicine-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Dental Care Services",
      "slug": "dental-care-services",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/dental-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/dental-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/dental-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/dental-care-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "dental-care-services",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 32.54,
        "p25_aov_usd": 3.08,
        "p75_aov_usd": 72.27,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Dental Care Services account AOV: median $32.54; middle 50% $3.08–$72.27. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/dental-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/dental-care-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Medical Testing Diagnostics",
      "slug": "medical-testing-diagnostics",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/medical-testing-diagnostics",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/medical-testing-diagnostics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/medical-testing-diagnostics.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/medical-testing-diagnostics.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "medical-testing-diagnostics",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 93.88,
        "p25_aov_usd": 58.78,
        "p75_aov_usd": 249.12,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Medical Testing Diagnostics account AOV: median $93.88; middle 50% $58.78–$249.12. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/medical-testing-diagnostics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/medical-testing-diagnostics#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mental Health Services",
      "slug": "mental-health-services",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/mental-health-services",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/mental-health-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/mental-health-services.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/mental-health-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "mental-health-services",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 37.27,
        "p25_aov_usd": 14.44,
        "p75_aov_usd": 68.69,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mental Health Services account AOV: median $37.27; middle 50% $14.44–$68.69. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/mental-health-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/mental-health-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Physical Therapy Rehab",
      "slug": "physical-therapy-rehab",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/physical-therapy-rehab",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/physical-therapy-rehab#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/physical-therapy-rehab.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/physical-therapy-rehab.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "physical-therapy-rehab",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 43.9,
        "p25_aov_usd": 16.94,
        "p75_aov_usd": 84.7,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Physical Therapy Rehab account AOV: median $43.90; middle 50% $16.94–$84.70. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/physical-therapy-rehab#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/physical-therapy-rehab#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Primary Care Clinics",
      "slug": "primary-care-clinics",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/primary-care-clinics",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/primary-care-clinics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/primary-care-clinics.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/primary-care-clinics.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "primary-care-clinics",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Primary Care Clinics: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:49.542863+00:00. https://madgicx.com/labs/industries/healthcare-wellness/primary-care-clinics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/primary-care-clinics#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialty Medical Services",
      "slug": "specialty-medical-services",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/specialty-medical-services",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/specialty-medical-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/specialty-medical-services.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/specialty-medical-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "specialty-medical-services",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 113.62,
        "p25_aov_usd": 82.88,
        "p75_aov_usd": 187.0,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialty Medical Services account AOV: median $113.62; middle 50% $82.88–$187.00. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/specialty-medical-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/specialty-medical-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Telemedicine Services",
      "slug": "telemedicine-services",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/telemedicine-services",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/telemedicine-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/telemedicine-services.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/telemedicine-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "telemedicine-services",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.59,
        "p25_aov_usd": 12.46,
        "p75_aov_usd": 233.75,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Telemedicine Services account AOV: median $48.59; middle 50% $12.46–$233.75. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/telemedicine-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/telemedicine-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vision Care Services",
      "slug": "vision-care-services",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/vision-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/vision-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/vision-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/vision-care-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "vision-care-services",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 67.89,
        "p25_aov_usd": 46.81,
        "p75_aov_usd": 138.29,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vision Care Services account AOV: median $67.89; middle 50% $46.81–$138.29. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/vision-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/vision-care-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Weight Management Clinics",
      "slug": "weight-management-clinics",
      "kind": "subcategory",
      "parent_slug": "healthcare-wellness",
      "url": "https://madgicx.com/labs/industries/healthcare-wellness/weight-management-clinics",
      "benchmark_url": "https://madgicx.com/labs/industries/healthcare-wellness/weight-management-clinics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/healthcare-wellness/weight-management-clinics.md",
      "json_url": "https://madgicx.com/labs/industries/healthcare-wellness/weight-management-clinics.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "weight-management-clinics",
        "parent_slug": "healthcare-wellness",
        "cohort_scope": "exact_child",
        "median_aov_usd": 88.49,
        "p25_aov_usd": 33.86,
        "p75_aov_usd": 190.57,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:49.542863+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Weight Management Clinics account AOV: median $88.49; middle 50% $33.86–$190.57. Snapshot read 2026-10-11T14:08:49.542863+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/healthcare-wellness/weight-management-clinics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/healthcare-wellness/weight-management-clinics#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cognitive & Learning Supports",
      "slug": "cognitive-learning-supports",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/cognitive-learning-supports",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/cognitive-learning-supports#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/cognitive-learning-supports.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/cognitive-learning-supports.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "cognitive-learning-supports",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cognitive & Learning Supports: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:06.232545+00:00. https://madgicx.com/labs/industries/accessibility-special-needs-products/cognitive-learning-supports#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/cognitive-learning-supports#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Communication & Speech Devices",
      "slug": "communication-speech-devices",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/communication-speech-devices",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/communication-speech-devices#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/communication-speech-devices.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/communication-speech-devices.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "communication-speech-devices",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Communication & Speech Devices: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:06.232545+00:00. https://madgicx.com/labs/industries/accessibility-special-needs-products/communication-speech-devices#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/communication-speech-devices#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Daily Living & Self Care Aids",
      "slug": "daily-living-self-care-aids",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/daily-living-self-care-aids",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/daily-living-self-care-aids#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/daily-living-self-care-aids.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/daily-living-self-care-aids.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "daily-living-self-care-aids",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Daily Living & Self Care Aids: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:06.232545+00:00. https://madgicx.com/labs/industries/accessibility-special-needs-products/daily-living-self-care-aids#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/daily-living-self-care-aids#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hearing Assistance Technology",
      "slug": "hearing-assistance-technology",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/hearing-assistance-technology",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/hearing-assistance-technology#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/hearing-assistance-technology.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/hearing-assistance-technology.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "hearing-assistance-technology",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hearing Assistance Technology: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:06.232545+00:00. https://madgicx.com/labs/industries/accessibility-special-needs-products/hearing-assistance-technology#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/hearing-assistance-technology#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Accessibility Equipment",
      "slug": "home-accessibility-equipment",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/home-accessibility-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/home-accessibility-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/home-accessibility-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/home-accessibility-equipment.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "home-accessibility-equipment",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Accessibility Equipment: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:06.232545+00:00. https://madgicx.com/labs/industries/accessibility-special-needs-products/home-accessibility-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/home-accessibility-equipment#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mobility Equipment",
      "slug": "mobility-equipment",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/mobility-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/mobility-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/mobility-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/mobility-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "mobility-equipment",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 102.5,
        "p25_aov_usd": 48.39,
        "p75_aov_usd": 330.01,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mobility Equipment account AOV: median $102.50; middle 50% $48.39–$330.01. Snapshot read 2026-10-11T14:06:06.232545+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/accessibility-special-needs-products/mobility-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/mobility-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Prosthetics & Orthotics",
      "slug": "prosthetics-orthotics",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/prosthetics-orthotics",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/prosthetics-orthotics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/prosthetics-orthotics.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/prosthetics-orthotics.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "prosthetics-orthotics",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Prosthetics & Orthotics: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:06.232545+00:00. https://madgicx.com/labs/industries/accessibility-special-needs-products/prosthetics-orthotics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/prosthetics-orthotics#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vision & Reading Aids",
      "slug": "vision-reading-aids",
      "kind": "subcategory",
      "parent_slug": "accessibility-special-needs-products",
      "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/vision-reading-aids",
      "benchmark_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/vision-reading-aids#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/vision-reading-aids.md",
      "json_url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/vision-reading-aids.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "vision-reading-aids",
        "parent_slug": "accessibility-special-needs-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:06.232545+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vision & Reading Aids: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:06.232545+00:00. https://madgicx.com/labs/industries/accessibility-special-needs-products/vision-reading-aids#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accessibility-special-needs-products/vision-reading-aids#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Crop Inputs & Seeds",
      "slug": "crop-inputs-seeds",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/crop-inputs-seeds",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/crop-inputs-seeds#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/crop-inputs-seeds.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/crop-inputs-seeds.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "crop-inputs-seeds",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": 37.89,
        "p25_aov_usd": 18.77,
        "p75_aov_usd": 72.82,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Crop Inputs & Seeds account AOV: median $37.89; middle 50% $18.77–$72.82. Snapshot read 2026-10-11T14:06:18.004506+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/agriculture-farming/crop-inputs-seeds#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/crop-inputs-seeds#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Crop Services & Consulting",
      "slug": "crop-services-consulting",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/crop-services-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/crop-services-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/crop-services-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/crop-services-consulting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "crop-services-consulting",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Crop Services & Consulting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:18.004506+00:00. https://madgicx.com/labs/industries/agriculture-farming/crop-services-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/crop-services-consulting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Farm Infrastructure & Buildings",
      "slug": "farm-infrastructure-buildings",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/farm-infrastructure-buildings",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/farm-infrastructure-buildings#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/farm-infrastructure-buildings.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/farm-infrastructure-buildings.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "farm-infrastructure-buildings",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": 702.98,
        "p25_aov_usd": 530.22,
        "p75_aov_usd": 1357.76,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Farm Infrastructure & Buildings account AOV: median $702.98; middle 50% $530.22–$1,357.76. Snapshot read 2026-10-11T14:06:18.004506+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/agriculture-farming/farm-infrastructure-buildings#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/farm-infrastructure-buildings#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Farm Machinery & Equipment",
      "slug": "farm-machinery-equipment",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/farm-machinery-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/farm-machinery-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/farm-machinery-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/farm-machinery-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "farm-machinery-equipment",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": 55.87,
        "p25_aov_usd": 32.27,
        "p75_aov_usd": 114.37,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Farm Machinery & Equipment account AOV: median $55.87; middle 50% $32.27–$114.37. Snapshot read 2026-10-11T14:06:18.004506+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/agriculture-farming/farm-machinery-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/farm-machinery-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Irrigation & Water Management",
      "slug": "irrigation-water-management",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/irrigation-water-management",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/irrigation-water-management#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/irrigation-water-management.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/irrigation-water-management.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "irrigation-water-management",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": 74.63,
        "p25_aov_usd": 16.41,
        "p75_aov_usd": 320.41,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Irrigation & Water Management account AOV: median $74.63; middle 50% $16.41–$320.41. Snapshot read 2026-10-11T14:06:18.004506+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/agriculture-farming/irrigation-water-management#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/irrigation-water-management#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Livestock & Animal Care",
      "slug": "livestock-animal-care",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/livestock-animal-care",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/livestock-animal-care#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/livestock-animal-care.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/livestock-animal-care.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "livestock-animal-care",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": 148.34,
        "p25_aov_usd": 54.41,
        "p75_aov_usd": 301.01,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Livestock & Animal Care account AOV: median $148.34; middle 50% $54.41–$301.01. Snapshot read 2026-10-11T14:06:18.004506+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/agriculture-farming/livestock-animal-care#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/livestock-animal-care#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Precision Agriculture Technology",
      "slug": "precision-agriculture-technology",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/precision-agriculture-technology",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/precision-agriculture-technology#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/precision-agriculture-technology.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/precision-agriculture-technology.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "precision-agriculture-technology",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Precision Agriculture Technology: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:18.004506+00:00. https://madgicx.com/labs/industries/agriculture-farming/precision-agriculture-technology#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/precision-agriculture-technology#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialty & Organic Farming",
      "slug": "specialty-organic-farming",
      "kind": "subcategory",
      "parent_slug": "agriculture-farming",
      "url": "https://madgicx.com/labs/industries/agriculture-farming/specialty-organic-farming",
      "benchmark_url": "https://madgicx.com/labs/industries/agriculture-farming/specialty-organic-farming#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/agriculture-farming/specialty-organic-farming.md",
      "json_url": "https://madgicx.com/labs/industries/agriculture-farming/specialty-organic-farming.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "specialty-organic-farming",
        "parent_slug": "agriculture-farming",
        "cohort_scope": "exact_child",
        "median_aov_usd": 54.31,
        "p25_aov_usd": 47.18,
        "p75_aov_usd": 99.04,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:18.004506+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialty & Organic Farming account AOV: median $54.31; middle 50% $47.18–$99.04. Snapshot read 2026-10-11T14:06:18.004506+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/agriculture-farming/specialty-organic-farming#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/agriculture-farming/specialty-organic-farming#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Auditing Services",
      "slug": "auditing-services",
      "kind": "subcategory",
      "parent_slug": "accounting-tax-services",
      "url": "https://madgicx.com/labs/industries/accounting-tax-services/auditing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/accounting-tax-services/auditing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accounting-tax-services/auditing-services.md",
      "json_url": "https://madgicx.com/labs/industries/accounting-tax-services/auditing-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "auditing-services",
        "parent_slug": "accounting-tax-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:10.912915+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Auditing Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:10.912915+00:00. https://madgicx.com/labs/industries/accounting-tax-services/auditing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accounting-tax-services/auditing-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Bookkeeping Services",
      "slug": "bookkeeping-services",
      "kind": "subcategory",
      "parent_slug": "accounting-tax-services",
      "url": "https://madgicx.com/labs/industries/accounting-tax-services/bookkeeping-services",
      "benchmark_url": "https://madgicx.com/labs/industries/accounting-tax-services/bookkeeping-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accounting-tax-services/bookkeeping-services.md",
      "json_url": "https://madgicx.com/labs/industries/accounting-tax-services/bookkeeping-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "bookkeeping-services",
        "parent_slug": "accounting-tax-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:10.912915+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Bookkeeping Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:10.912915+00:00. https://madgicx.com/labs/industries/accounting-tax-services/bookkeeping-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accounting-tax-services/bookkeeping-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business Accounting Services",
      "slug": "business-accounting-services",
      "kind": "subcategory",
      "parent_slug": "accounting-tax-services",
      "url": "https://madgicx.com/labs/industries/accounting-tax-services/business-accounting-services",
      "benchmark_url": "https://madgicx.com/labs/industries/accounting-tax-services/business-accounting-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accounting-tax-services/business-accounting-services.md",
      "json_url": "https://madgicx.com/labs/industries/accounting-tax-services/business-accounting-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "business-accounting-services",
        "parent_slug": "accounting-tax-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:10.912915+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business Accounting Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:10.912915+00:00. https://madgicx.com/labs/industries/accounting-tax-services/business-accounting-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accounting-tax-services/business-accounting-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Financial Compliance Services",
      "slug": "financial-compliance-services",
      "kind": "subcategory",
      "parent_slug": "accounting-tax-services",
      "url": "https://madgicx.com/labs/industries/accounting-tax-services/financial-compliance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/accounting-tax-services/financial-compliance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accounting-tax-services/financial-compliance-services.md",
      "json_url": "https://madgicx.com/labs/industries/accounting-tax-services/financial-compliance-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "financial-compliance-services",
        "parent_slug": "accounting-tax-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:10.912915+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Financial Compliance Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:10.912915+00:00. https://madgicx.com/labs/industries/accounting-tax-services/financial-compliance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accounting-tax-services/financial-compliance-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Payroll Services",
      "slug": "payroll-services",
      "kind": "subcategory",
      "parent_slug": "accounting-tax-services",
      "url": "https://madgicx.com/labs/industries/accounting-tax-services/payroll-services",
      "benchmark_url": "https://madgicx.com/labs/industries/accounting-tax-services/payroll-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accounting-tax-services/payroll-services.md",
      "json_url": "https://madgicx.com/labs/industries/accounting-tax-services/payroll-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "payroll-services",
        "parent_slug": "accounting-tax-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:10.912915+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Payroll Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:10.912915+00:00. https://madgicx.com/labs/industries/accounting-tax-services/payroll-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accounting-tax-services/payroll-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Tax Preparation Services",
      "slug": "tax-preparation-services",
      "kind": "subcategory",
      "parent_slug": "accounting-tax-services",
      "url": "https://madgicx.com/labs/industries/accounting-tax-services/tax-preparation-services",
      "benchmark_url": "https://madgicx.com/labs/industries/accounting-tax-services/tax-preparation-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/accounting-tax-services/tax-preparation-services.md",
      "json_url": "https://madgicx.com/labs/industries/accounting-tax-services/tax-preparation-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "tax-preparation-services",
        "parent_slug": "accounting-tax-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 56.96,
        "p25_aov_usd": 20.05,
        "p75_aov_usd": 95.22,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:10.912915+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Tax Preparation Services account AOV: median $56.96; middle 50% $20.05–$95.22. Snapshot read 2026-10-11T14:06:10.912915+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/accounting-tax-services/tax-preparation-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/accounting-tax-services/tax-preparation-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Commercial Photography Services",
      "slug": "commercial-photography-services",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/commercial-photography-services",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/commercial-photography-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/commercial-photography-services.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/commercial-photography-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "commercial-photography-services",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 111.95,
        "p25_aov_usd": 39.43,
        "p75_aov_usd": 348.21,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Commercial Photography Services account AOV: median $111.95; middle 50% $39.43–$348.21. Snapshot read 2026-10-11T14:06:29.932467+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/arts-design-creative-services/commercial-photography-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/commercial-photography-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Creative Agency Services",
      "slug": "creative-agency-services",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/creative-agency-services",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/creative-agency-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/creative-agency-services.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/creative-agency-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "creative-agency-services",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Creative Agency Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:29.932467+00:00. https://madgicx.com/labs/industries/arts-design-creative-services/creative-agency-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/creative-agency-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Custom Illustration & Art",
      "slug": "custom-illustration-art",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/custom-illustration-art",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/custom-illustration-art#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/custom-illustration-art.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/custom-illustration-art.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "custom-illustration-art",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 69.11,
        "p25_aov_usd": 47.39,
        "p75_aov_usd": 158.23,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Custom Illustration & Art account AOV: median $69.11; middle 50% $47.39–$158.23. Snapshot read 2026-10-11T14:06:29.932467+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/arts-design-creative-services/custom-illustration-art#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/custom-illustration-art#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Event & Wedding Photography",
      "slug": "event-wedding-photography",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/event-wedding-photography",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/event-wedding-photography#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/event-wedding-photography.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/event-wedding-photography.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "event-wedding-photography",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Event & Wedding Photography: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:29.932467+00:00. https://madgicx.com/labs/industries/arts-design-creative-services/event-wedding-photography#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/event-wedding-photography#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Graphic Design & Branding",
      "slug": "graphic-design-branding",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/graphic-design-branding",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/graphic-design-branding#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/graphic-design-branding.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/graphic-design-branding.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "graphic-design-branding",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 34.46,
        "p25_aov_usd": 14.16,
        "p75_aov_usd": 91.59,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Graphic Design & Branding account AOV: median $34.46; middle 50% $14.16–$91.59. Snapshot read 2026-10-11T14:06:29.932467+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/arts-design-creative-services/graphic-design-branding#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/graphic-design-branding#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Marketing & Advertising Design",
      "slug": "marketing-advertising-design",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/marketing-advertising-design",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/marketing-advertising-design#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/marketing-advertising-design.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/marketing-advertising-design.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "marketing-advertising-design",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Marketing & Advertising Design: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:29.932467+00:00. https://madgicx.com/labs/industries/arts-design-creative-services/marketing-advertising-design#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/marketing-advertising-design#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Packaging & Product Design",
      "slug": "packaging-product-design",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/packaging-product-design",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/packaging-product-design#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/packaging-product-design.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/packaging-product-design.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "packaging-product-design",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Packaging & Product Design: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:29.932467+00:00. https://madgicx.com/labs/industries/arts-design-creative-services/packaging-product-design#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/packaging-product-design#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Web & Digital Design",
      "slug": "web-digital-design",
      "kind": "subcategory",
      "parent_slug": "arts-design-creative-services",
      "url": "https://madgicx.com/labs/industries/arts-design-creative-services/web-digital-design",
      "benchmark_url": "https://madgicx.com/labs/industries/arts-design-creative-services/web-digital-design#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/arts-design-creative-services/web-digital-design.md",
      "json_url": "https://madgicx.com/labs/industries/arts-design-creative-services/web-digital-design.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "web-digital-design",
        "parent_slug": "arts-design-creative-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:29.932467+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Web & Digital Design: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:29.932467+00:00. https://madgicx.com/labs/industries/arts-design-creative-services/web-digital-design#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/arts-design-creative-services/web-digital-design#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Architectural Design Services",
      "slug": "architectural-design-services",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/architectural-design-services",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/architectural-design-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/architectural-design-services.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/architectural-design-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "architectural-design-services",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Architectural Design Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:24.260201+00:00. https://madgicx.com/labs/industries/architecture-construction-engineering/architectural-design-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/architectural-design-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Commercial Construction Services",
      "slug": "commercial-construction-services",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/commercial-construction-services",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/commercial-construction-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/commercial-construction-services.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/commercial-construction-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "commercial-construction-services",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Commercial Construction Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:24.260201+00:00. https://madgicx.com/labs/industries/architecture-construction-engineering/commercial-construction-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/commercial-construction-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Construction Project Management",
      "slug": "construction-project-management",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/construction-project-management",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/construction-project-management#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/construction-project-management.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/construction-project-management.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "construction-project-management",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Construction Project Management: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:24.260201+00:00. https://madgicx.com/labs/industries/architecture-construction-engineering/construction-project-management#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/construction-project-management#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Interior Design & Space Planning",
      "slug": "interior-design-space-planning",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/interior-design-space-planning",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/interior-design-space-planning#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/interior-design-space-planning.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/interior-design-space-planning.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "interior-design-space-planning",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Interior Design & Space Planning: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:24.260201+00:00. https://madgicx.com/labs/industries/architecture-construction-engineering/interior-design-space-planning#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/interior-design-space-planning#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Residential Construction Management",
      "slug": "residential-construction-management",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/residential-construction-management",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/residential-construction-management#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/residential-construction-management.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/residential-construction-management.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "residential-construction-management",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": 4587.27,
        "p25_aov_usd": 259.72,
        "p75_aov_usd": 12688.74,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Residential Construction Management account AOV: median $4,587.27; middle 50% $259.72–$12,688.74. Snapshot read 2026-10-11T14:06:24.260201+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/architecture-construction-engineering/residential-construction-management#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/residential-construction-management#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Structural Engineering Services",
      "slug": "structural-engineering-services",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/structural-engineering-services",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/structural-engineering-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/structural-engineering-services.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/structural-engineering-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "structural-engineering-services",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Structural Engineering Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:24.260201+00:00. https://madgicx.com/labs/industries/architecture-construction-engineering/structural-engineering-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/structural-engineering-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Sustainable Design Consulting",
      "slug": "sustainable-design-consulting",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/sustainable-design-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/sustainable-design-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/sustainable-design-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/sustainable-design-consulting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "sustainable-design-consulting",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Sustainable Design Consulting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:24.260201+00:00. https://madgicx.com/labs/industries/architecture-construction-engineering/sustainable-design-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/sustainable-design-consulting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Urban Planning & Development",
      "slug": "urban-planning-development",
      "kind": "subcategory",
      "parent_slug": "architecture-construction-engineering",
      "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/urban-planning-development",
      "benchmark_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/urban-planning-development#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/urban-planning-development.md",
      "json_url": "https://madgicx.com/labs/industries/architecture-construction-engineering/urban-planning-development.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "urban-planning-development",
        "parent_slug": "architecture-construction-engineering",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:24.260201+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Urban Planning & Development: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:24.260201+00:00. https://madgicx.com/labs/industries/architecture-construction-engineering/urban-planning-development#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/architecture-construction-engineering/urban-planning-development#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Adult Sports Leagues",
      "slug": "adult-sports-leagues",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/adult-sports-leagues",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/adult-sports-leagues#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/adult-sports-leagues.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/adult-sports-leagues.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "adult-sports-leagues",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 58.47,
        "p25_aov_usd": 38.86,
        "p75_aov_usd": 129.1,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Adult Sports Leagues account AOV: median $58.47; middle 50% $38.86–$129.10. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/adult-sports-leagues#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/adult-sports-leagues#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Boutique Fitness Classes",
      "slug": "boutique-fitness-classes",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/boutique-fitness-classes",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/boutique-fitness-classes#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/boutique-fitness-classes.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/boutique-fitness-classes.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "boutique-fitness-classes",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 43.97,
        "p25_aov_usd": 23.91,
        "p75_aov_usd": 75.91,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Boutique Fitness Classes account AOV: median $43.97; middle 50% $23.91–$75.91. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/boutique-fitness-classes#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/boutique-fitness-classes#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Commercial Gym Memberships",
      "slug": "commercial-gym-memberships",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/commercial-gym-memberships",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/commercial-gym-memberships#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/commercial-gym-memberships.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/commercial-gym-memberships.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "commercial-gym-memberships",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 25.83,
        "p25_aov_usd": 8.58,
        "p75_aov_usd": 97.62,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Commercial Gym Memberships account AOV: median $25.83; middle 50% $8.58–$97.62. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/commercial-gym-memberships#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/commercial-gym-memberships#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Martial Arts Instruction",
      "slug": "martial-arts-instruction",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/martial-arts-instruction",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/martial-arts-instruction#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/martial-arts-instruction.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/martial-arts-instruction.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "martial-arts-instruction",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 97.29,
        "p25_aov_usd": 38.29,
        "p75_aov_usd": 141.94,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Martial Arts Instruction account AOV: median $97.29; middle 50% $38.29–$141.94. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/martial-arts-instruction#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/martial-arts-instruction#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mobile Fitness Services",
      "slug": "mobile-fitness-services",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/mobile-fitness-services",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/mobile-fitness-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/mobile-fitness-services.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/mobile-fitness-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "mobile-fitness-services",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.35,
        "p25_aov_usd": 30.14,
        "p75_aov_usd": 72.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mobile Fitness Services account AOV: median $48.35; middle 50% $30.14–$72.20. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/mobile-fitness-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/mobile-fitness-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Personal Training Services",
      "slug": "personal-training-services",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/personal-training-services",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/personal-training-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/personal-training-services.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/personal-training-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "personal-training-services",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 147.41,
        "p25_aov_usd": 51.92,
        "p75_aov_usd": 150.0,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Personal Training Services account AOV: median $147.41; middle 50% $51.92–$150.00. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/personal-training-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/personal-training-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialty Training Facilities",
      "slug": "specialty-training-facilities",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/specialty-training-facilities",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/specialty-training-facilities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/specialty-training-facilities.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/specialty-training-facilities.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "specialty-training-facilities",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 91.95,
        "p25_aov_usd": 54.28,
        "p75_aov_usd": 284.45,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialty Training Facilities account AOV: median $91.95; middle 50% $54.28–$284.45. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/specialty-training-facilities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/specialty-training-facilities#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Youth Sports Programs",
      "slug": "youth-sports-programs",
      "kind": "subcategory",
      "parent_slug": "fitness-sports-services",
      "url": "https://madgicx.com/labs/industries/fitness-sports-services/youth-sports-programs",
      "benchmark_url": "https://madgicx.com/labs/industries/fitness-sports-services/youth-sports-programs#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/fitness-sports-services/youth-sports-programs.md",
      "json_url": "https://madgicx.com/labs/industries/fitness-sports-services/youth-sports-programs.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "youth-sports-programs",
        "parent_slug": "fitness-sports-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 53.83,
        "p25_aov_usd": 35.5,
        "p75_aov_usd": 140.88,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:10.186824+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Youth Sports Programs account AOV: median $53.83; middle 50% $35.50–$140.88. Snapshot read 2026-10-11T14:08:10.186824+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/fitness-sports-services/youth-sports-programs#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/fitness-sports-services/youth-sports-programs#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Childrens Prenatal Supplements",
      "slug": "childrens-prenatal-supplements",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/childrens-prenatal-supplements",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/childrens-prenatal-supplements#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/childrens-prenatal-supplements.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/childrens-prenatal-supplements.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "childrens-prenatal-supplements",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 28.47,
        "p25_aov_usd": 9.58,
        "p75_aov_usd": 55.29,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Childrens Prenatal Supplements account AOV: median $28.47; middle 50% $9.58–$55.29. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/childrens-prenatal-supplements#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/childrens-prenatal-supplements#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cognitive Mental Supplements",
      "slug": "cognitive-mental-supplements",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/cognitive-mental-supplements",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/cognitive-mental-supplements#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/cognitive-mental-supplements.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/cognitive-mental-supplements.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "cognitive-mental-supplements",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 50.86,
        "p25_aov_usd": 34.27,
        "p75_aov_usd": 67.34,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cognitive Mental Supplements account AOV: median $50.86; middle 50% $34.27–$67.34. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/cognitive-mental-supplements#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/cognitive-mental-supplements#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "General Wellness Vitamins",
      "slug": "general-wellness-vitamins",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/general-wellness-vitamins",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/general-wellness-vitamins#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/general-wellness-vitamins.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/general-wellness-vitamins.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "general-wellness-vitamins",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 40.04,
        "p25_aov_usd": 13.73,
        "p75_aov_usd": 67.73,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. General Wellness Vitamins account AOV: median $40.04; middle 50% $13.73–$67.73. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/general-wellness-vitamins#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/general-wellness-vitamins#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Nutritional Beverages Shakes",
      "slug": "nutritional-beverages-shakes",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/nutritional-beverages-shakes",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/nutritional-beverages-shakes#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/nutritional-beverages-shakes.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/nutritional-beverages-shakes.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "nutritional-beverages-shakes",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 51.56,
        "p25_aov_usd": 26.32,
        "p75_aov_usd": 80.04,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Nutritional Beverages Shakes account AOV: median $51.56; middle 50% $26.32–$80.04. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/nutritional-beverages-shakes#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/nutritional-beverages-shakes#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Protein Muscle Supplements",
      "slug": "protein-muscle-supplements",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/protein-muscle-supplements",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/protein-muscle-supplements#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/protein-muscle-supplements.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/protein-muscle-supplements.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "protein-muscle-supplements",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 51.55,
        "p25_aov_usd": 23.29,
        "p75_aov_usd": 79.81,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Protein Muscle Supplements account AOV: median $51.55; middle 50% $23.29–$79.81. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/protein-muscle-supplements#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/protein-muscle-supplements#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Sports Performance Supplements",
      "slug": "sports-performance-supplements",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/sports-performance-supplements",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/sports-performance-supplements#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/sports-performance-supplements.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/sports-performance-supplements.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "sports-performance-supplements",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 59.13,
        "p25_aov_usd": 41.08,
        "p75_aov_usd": 82.95,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Sports Performance Supplements account AOV: median $59.13; middle 50% $41.08–$82.95. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/sports-performance-supplements#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/sports-performance-supplements#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Targeted Health Supplements",
      "slug": "targeted-health-supplements",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/targeted-health-supplements",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/targeted-health-supplements#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/targeted-health-supplements.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/targeted-health-supplements.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "targeted-health-supplements",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.65,
        "p25_aov_usd": 27.72,
        "p75_aov_usd": 73.48,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Targeted Health Supplements account AOV: median $48.65; middle 50% $27.72–$73.48. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/targeted-health-supplements#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/targeted-health-supplements#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Weight Management Supplements",
      "slug": "weight-management-supplements",
      "kind": "subcategory",
      "parent_slug": "health-supplements-nutrition",
      "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/weight-management-supplements",
      "benchmark_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/weight-management-supplements#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/weight-management-supplements.md",
      "json_url": "https://madgicx.com/labs/industries/health-supplements-nutrition/weight-management-supplements.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "weight-management-supplements",
        "parent_slug": "health-supplements-nutrition",
        "cohort_scope": "exact_child",
        "median_aov_usd": 53.82,
        "p25_aov_usd": 31.07,
        "p75_aov_usd": 80.48,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:39.803268+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Weight Management Supplements account AOV: median $53.82; middle 50% $31.07–$80.48. Snapshot read 2026-10-11T14:08:39.803268+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/health-supplements-nutrition/weight-management-supplements#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/health-supplements-nutrition/weight-management-supplements#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pet Boarding Services",
      "slug": "pet-boarding-services",
      "kind": "subcategory",
      "parent_slug": "pet-care-products-services",
      "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-boarding-services",
      "benchmark_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-boarding-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-boarding-services.md",
      "json_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-boarding-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "pet-boarding-services",
        "parent_slug": "pet-care-products-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:48.714732+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pet Boarding Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:48.714732+00:00. https://madgicx.com/labs/industries/pet-care-products-services/pet-boarding-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-boarding-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pet Food Treats",
      "slug": "pet-food-treats",
      "kind": "subcategory",
      "parent_slug": "pet-care-products-services",
      "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-food-treats",
      "benchmark_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-food-treats#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-food-treats.md",
      "json_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-food-treats.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "pet-food-treats",
        "parent_slug": "pet-care-products-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 53.54,
        "p25_aov_usd": 36.69,
        "p75_aov_usd": 75.4,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:48.714732+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pet Food Treats account AOV: median $53.54; middle 50% $36.69–$75.40. Snapshot read 2026-10-11T14:10:48.714732+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/pet-care-products-services/pet-food-treats#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-food-treats#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pet Grooming Services",
      "slug": "pet-grooming-services",
      "kind": "subcategory",
      "parent_slug": "pet-care-products-services",
      "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-grooming-services",
      "benchmark_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-grooming-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-grooming-services.md",
      "json_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-grooming-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "pet-grooming-services",
        "parent_slug": "pet-care-products-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:48.714732+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pet Grooming Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:48.714732+00:00. https://madgicx.com/labs/industries/pet-care-products-services/pet-grooming-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-grooming-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pet Supplies Accessories",
      "slug": "pet-supplies-accessories",
      "kind": "subcategory",
      "parent_slug": "pet-care-products-services",
      "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-supplies-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-supplies-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-supplies-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-supplies-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "pet-supplies-accessories",
        "parent_slug": "pet-care-products-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 58.11,
        "p25_aov_usd": 32.45,
        "p75_aov_usd": 93.23,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:48.714732+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pet Supplies Accessories account AOV: median $58.11; middle 50% $32.45–$93.23. Snapshot read 2026-10-11T14:10:48.714732+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/pet-care-products-services/pet-supplies-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-supplies-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pet Training Behavior Services",
      "slug": "pet-training-behavior-services",
      "kind": "subcategory",
      "parent_slug": "pet-care-products-services",
      "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-training-behavior-services",
      "benchmark_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-training-behavior-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-training-behavior-services.md",
      "json_url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-training-behavior-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "pet-training-behavior-services",
        "parent_slug": "pet-care-products-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 82.44,
        "p25_aov_usd": 16.46,
        "p75_aov_usd": 186.14,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:48.714732+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pet Training Behavior Services account AOV: median $82.44; middle 50% $16.46–$186.14. Snapshot read 2026-10-11T14:10:48.714732+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/pet-care-products-services/pet-training-behavior-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pet-care-products-services/pet-training-behavior-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Veterinary Services",
      "slug": "veterinary-services",
      "kind": "subcategory",
      "parent_slug": "pet-care-products-services",
      "url": "https://madgicx.com/labs/industries/pet-care-products-services/veterinary-services",
      "benchmark_url": "https://madgicx.com/labs/industries/pet-care-products-services/veterinary-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pet-care-products-services/veterinary-services.md",
      "json_url": "https://madgicx.com/labs/industries/pet-care-products-services/veterinary-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "veterinary-services",
        "parent_slug": "pet-care-products-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:48.714732+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Veterinary Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:48.714732+00:00. https://madgicx.com/labs/industries/pet-care-products-services/veterinary-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pet-care-products-services/veterinary-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Brake & Suspension Systems",
      "slug": "brake-suspension-systems",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/brake-suspension-systems",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/brake-suspension-systems#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/brake-suspension-systems.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/brake-suspension-systems.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "brake-suspension-systems",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 309.34,
        "p25_aov_usd": 89.36,
        "p75_aov_usd": 664.47,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Brake & Suspension Systems account AOV: median $309.34; middle 50% $89.36–$664.47. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories/brake-suspension-systems#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/brake-suspension-systems#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Electrical & Lighting",
      "slug": "electrical-lighting",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/electrical-lighting",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/electrical-lighting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/electrical-lighting.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/electrical-lighting.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "electrical-lighting",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 84.22,
        "p25_aov_usd": 41.46,
        "p75_aov_usd": 359.34,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Electrical & Lighting account AOV: median $84.22; middle 50% $41.46–$359.34. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories/electrical-lighting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/electrical-lighting#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Engine & Mechanical Parts",
      "slug": "engine-mechanical-parts",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/engine-mechanical-parts",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/engine-mechanical-parts#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/engine-mechanical-parts.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/engine-mechanical-parts.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "engine-mechanical-parts",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Engine & Mechanical Parts: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:35.690214+00:00. https://madgicx.com/labs/industries/automotive-parts-accessories/engine-mechanical-parts#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/engine-mechanical-parts#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Exterior Accessories",
      "slug": "exterior-accessories",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/exterior-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/exterior-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/exterior-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/exterior-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "exterior-accessories",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 61.85,
        "p25_aov_usd": 30.25,
        "p75_aov_usd": 250.52,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Exterior Accessories account AOV: median $61.85; middle 50% $30.25–$250.52. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories/exterior-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/exterior-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Interior Accessories",
      "slug": "interior-accessories",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/interior-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/interior-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/interior-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/interior-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "interior-accessories",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 63.13,
        "p25_aov_usd": 18.88,
        "p75_aov_usd": 194.35,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Interior Accessories account AOV: median $63.13; middle 50% $18.88–$194.35. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories/interior-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/interior-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Maintenance & Consumables",
      "slug": "maintenance-consumables",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/maintenance-consumables",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/maintenance-consumables#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/maintenance-consumables.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/maintenance-consumables.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "maintenance-consumables",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 74.97,
        "p25_aov_usd": 22.24,
        "p75_aov_usd": 166.92,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Maintenance & Consumables account AOV: median $74.97; middle 50% $22.24–$166.92. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories/maintenance-consumables#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/maintenance-consumables#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Performance Upgrades",
      "slug": "performance-upgrades",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/performance-upgrades",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/performance-upgrades#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/performance-upgrades.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/performance-upgrades.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "performance-upgrades",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 399.58,
        "p25_aov_usd": 226.26,
        "p75_aov_usd": 1006.5,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Performance Upgrades account AOV: median $399.58; middle 50% $226.26–$1,006.50. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories/performance-upgrades#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/performance-upgrades#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Tire & Wheel Products",
      "slug": "tire-wheel-products",
      "kind": "subcategory",
      "parent_slug": "automotive-parts-accessories",
      "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/tire-wheel-products",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/tire-wheel-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/tire-wheel-products.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-parts-accessories/tire-wheel-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "tire-wheel-products",
        "parent_slug": "automotive-parts-accessories",
        "cohort_scope": "exact_child",
        "median_aov_usd": 263.59,
        "p25_aov_usd": 189.38,
        "p75_aov_usd": 641.68,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:35.690214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Tire & Wheel Products account AOV: median $263.59; middle 50% $189.38–$641.68. Snapshot read 2026-10-11T14:06:35.690214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-parts-accessories/tire-wheel-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-parts-accessories/tire-wheel-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Auto Detailing Services",
      "slug": "auto-detailing-services",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/auto-detailing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/auto-detailing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/auto-detailing-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/auto-detailing-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "auto-detailing-services",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 58.02,
        "p25_aov_usd": 35.7,
        "p75_aov_usd": 173.06,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Auto Detailing Services account AOV: median $58.02; middle 50% $35.70–$173.06. Snapshot read 2026-10-11T14:06:40.917993+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/automotive-services/auto-detailing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/auto-detailing-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Body & Collision Repair",
      "slug": "body-collision-repair",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/body-collision-repair",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/body-collision-repair#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/body-collision-repair.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/body-collision-repair.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "body-collision-repair",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Body & Collision Repair: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:40.917993+00:00. https://madgicx.com/labs/industries/automotive-services/body-collision-repair#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/body-collision-repair#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Car Wash & Cleaning Services",
      "slug": "car-wash-cleaning-services",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/car-wash-cleaning-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/car-wash-cleaning-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/car-wash-cleaning-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/car-wash-cleaning-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "car-wash-cleaning-services",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Car Wash & Cleaning Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:40.917993+00:00. https://madgicx.com/labs/industries/automotive-services/car-wash-cleaning-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/car-wash-cleaning-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "General Auto Repair Services",
      "slug": "general-auto-repair-services",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/general-auto-repair-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/general-auto-repair-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/general-auto-repair-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/general-auto-repair-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "general-auto-repair-services",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. General Auto Repair Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:40.917993+00:00. https://madgicx.com/labs/industries/automotive-services/general-auto-repair-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/general-auto-repair-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Maintenance & Lube Services",
      "slug": "maintenance-lube-services",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/maintenance-lube-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/maintenance-lube-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/maintenance-lube-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/maintenance-lube-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "maintenance-lube-services",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Maintenance & Lube Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:40.917993+00:00. https://madgicx.com/labs/industries/automotive-services/maintenance-lube-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/maintenance-lube-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mobile Mechanic Services",
      "slug": "mobile-mechanic-services",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/mobile-mechanic-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/mobile-mechanic-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/mobile-mechanic-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/mobile-mechanic-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "mobile-mechanic-services",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mobile Mechanic Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:40.917993+00:00. https://madgicx.com/labs/industries/automotive-services/mobile-mechanic-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/mobile-mechanic-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialty Repair Services",
      "slug": "specialty-repair-services",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/specialty-repair-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/specialty-repair-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/specialty-repair-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/specialty-repair-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "specialty-repair-services",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialty Repair Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:40.917993+00:00. https://madgicx.com/labs/industries/automotive-services/specialty-repair-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/specialty-repair-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Tire Services",
      "slug": "tire-services",
      "kind": "subcategory",
      "parent_slug": "automotive-services",
      "url": "https://madgicx.com/labs/industries/automotive-services/tire-services",
      "benchmark_url": "https://madgicx.com/labs/industries/automotive-services/tire-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/automotive-services/tire-services.md",
      "json_url": "https://madgicx.com/labs/industries/automotive-services/tire-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "tire-services",
        "parent_slug": "automotive-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:40.917993+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Tire Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:06:40.917993+00:00. https://madgicx.com/labs/industries/automotive-services/tire-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/automotive-services/tire-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Bathing & Health Products",
      "slug": "bathing-health-products",
      "kind": "subcategory",
      "parent_slug": "baby-child-products",
      "url": "https://madgicx.com/labs/industries/baby-child-products/bathing-health-products",
      "benchmark_url": "https://madgicx.com/labs/industries/baby-child-products/bathing-health-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/baby-child-products/bathing-health-products.md",
      "json_url": "https://madgicx.com/labs/industries/baby-child-products/bathing-health-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "bathing-health-products",
        "parent_slug": "baby-child-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 31.81,
        "p25_aov_usd": 10.15,
        "p75_aov_usd": 57.39,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:46.822554+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Bathing & Health Products account AOV: median $31.81; middle 50% $10.15–$57.39. Snapshot read 2026-10-11T14:06:46.822554+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/baby-child-products/bathing-health-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/baby-child-products/bathing-health-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Diapering & Hygiene Products",
      "slug": "diapering-hygiene-products",
      "kind": "subcategory",
      "parent_slug": "baby-child-products",
      "url": "https://madgicx.com/labs/industries/baby-child-products/diapering-hygiene-products",
      "benchmark_url": "https://madgicx.com/labs/industries/baby-child-products/diapering-hygiene-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/baby-child-products/diapering-hygiene-products.md",
      "json_url": "https://madgicx.com/labs/industries/baby-child-products/diapering-hygiene-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "diapering-hygiene-products",
        "parent_slug": "baby-child-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 34.51,
        "p25_aov_usd": 11.94,
        "p75_aov_usd": 58.58,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:46.822554+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Diapering & Hygiene Products account AOV: median $34.51; middle 50% $11.94–$58.58. Snapshot read 2026-10-11T14:06:46.822554+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/baby-child-products/diapering-hygiene-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/baby-child-products/diapering-hygiene-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Feeding & Nutrition Products",
      "slug": "feeding-nutrition-products",
      "kind": "subcategory",
      "parent_slug": "baby-child-products",
      "url": "https://madgicx.com/labs/industries/baby-child-products/feeding-nutrition-products",
      "benchmark_url": "https://madgicx.com/labs/industries/baby-child-products/feeding-nutrition-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/baby-child-products/feeding-nutrition-products.md",
      "json_url": "https://madgicx.com/labs/industries/baby-child-products/feeding-nutrition-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "feeding-nutrition-products",
        "parent_slug": "baby-child-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 27.85,
        "p25_aov_usd": 8.48,
        "p75_aov_usd": 65.65,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:46.822554+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Feeding & Nutrition Products account AOV: median $27.85; middle 50% $8.48–$65.65. Snapshot read 2026-10-11T14:06:46.822554+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/baby-child-products/feeding-nutrition-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/baby-child-products/feeding-nutrition-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Nursery Furniture & Decor",
      "slug": "nursery-furniture-decor",
      "kind": "subcategory",
      "parent_slug": "baby-child-products",
      "url": "https://madgicx.com/labs/industries/baby-child-products/nursery-furniture-decor",
      "benchmark_url": "https://madgicx.com/labs/industries/baby-child-products/nursery-furniture-decor#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/baby-child-products/nursery-furniture-decor.md",
      "json_url": "https://madgicx.com/labs/industries/baby-child-products/nursery-furniture-decor.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "nursery-furniture-decor",
        "parent_slug": "baby-child-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 81.01,
        "p25_aov_usd": 28.97,
        "p75_aov_usd": 258.81,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:46.822554+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Nursery Furniture & Decor account AOV: median $81.01; middle 50% $28.97–$258.81. Snapshot read 2026-10-11T14:06:46.822554+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/baby-child-products/nursery-furniture-decor#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/baby-child-products/nursery-furniture-decor#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Safety & Monitoring Products",
      "slug": "safety-monitoring-products",
      "kind": "subcategory",
      "parent_slug": "baby-child-products",
      "url": "https://madgicx.com/labs/industries/baby-child-products/safety-monitoring-products",
      "benchmark_url": "https://madgicx.com/labs/industries/baby-child-products/safety-monitoring-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/baby-child-products/safety-monitoring-products.md",
      "json_url": "https://madgicx.com/labs/industries/baby-child-products/safety-monitoring-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "safety-monitoring-products",
        "parent_slug": "baby-child-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 82.12,
        "p25_aov_usd": 41.19,
        "p75_aov_usd": 131.82,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:46.822554+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Safety & Monitoring Products account AOV: median $82.12; middle 50% $41.19–$131.82. Snapshot read 2026-10-11T14:06:46.822554+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/baby-child-products/safety-monitoring-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/baby-child-products/safety-monitoring-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Transport & Travel Gear",
      "slug": "transport-travel-gear",
      "kind": "subcategory",
      "parent_slug": "baby-child-products",
      "url": "https://madgicx.com/labs/industries/baby-child-products/transport-travel-gear",
      "benchmark_url": "https://madgicx.com/labs/industries/baby-child-products/transport-travel-gear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/baby-child-products/transport-travel-gear.md",
      "json_url": "https://madgicx.com/labs/industries/baby-child-products/transport-travel-gear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "transport-travel-gear",
        "parent_slug": "baby-child-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 82.39,
        "p25_aov_usd": 37.89,
        "p75_aov_usd": 135.95,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:06:46.822554+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Transport & Travel Gear account AOV: median $82.39; middle 50% $37.89–$135.95. Snapshot read 2026-10-11T14:06:46.822554+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/baby-child-products/transport-travel-gear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/baby-child-products/transport-travel-gear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business Transformation Services",
      "slug": "business-transformation-services",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/business-transformation-services",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/business-transformation-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/business-transformation-services.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/business-transformation-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "business-transformation-services",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 135.92,
        "p25_aov_usd": 31.33,
        "p75_aov_usd": 631.97,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business Transformation Services account AOV: median $135.92; middle 50% $31.33–$631.97. Snapshot read 2026-10-11T14:07:00.986886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/business-consulting-services/business-transformation-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/business-transformation-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Financial Advisory Consulting",
      "slug": "financial-advisory-consulting",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/financial-advisory-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/financial-advisory-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/financial-advisory-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/financial-advisory-consulting.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "financial-advisory-consulting",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 29.03,
        "p25_aov_usd": 19.73,
        "p75_aov_usd": 103.15,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Financial Advisory Consulting account AOV: median $29.03; middle 50% $19.73–$103.15. Snapshot read 2026-10-11T14:07:00.986886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/business-consulting-services/financial-advisory-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/financial-advisory-consulting#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fractional Executive Services",
      "slug": "fractional-executive-services",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/fractional-executive-services",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/fractional-executive-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/fractional-executive-services.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/fractional-executive-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "fractional-executive-services",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fractional Executive Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:00.986886+00:00. https://madgicx.com/labs/industries/business-consulting-services/fractional-executive-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/fractional-executive-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Industry Specialty Consulting",
      "slug": "industry-specialty-consulting",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/industry-specialty-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/industry-specialty-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/industry-specialty-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/industry-specialty-consulting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "industry-specialty-consulting",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Industry Specialty Consulting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:00.986886+00:00. https://madgicx.com/labs/industries/business-consulting-services/industry-specialty-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/industry-specialty-consulting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Management & Operations Consulting",
      "slug": "management-operations-consulting",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/management-operations-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/management-operations-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/management-operations-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/management-operations-consulting.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "management-operations-consulting",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 20.18,
        "p25_aov_usd": 9.74,
        "p75_aov_usd": 74.31,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Management & Operations Consulting account AOV: median $20.18; middle 50% $9.74–$74.31. Snapshot read 2026-10-11T14:07:00.986886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/business-consulting-services/management-operations-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/management-operations-consulting#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Performance Improvement Consulting",
      "slug": "performance-improvement-consulting",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/performance-improvement-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/performance-improvement-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/performance-improvement-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/performance-improvement-consulting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "performance-improvement-consulting",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Performance Improvement Consulting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:00.986886+00:00. https://madgicx.com/labs/industries/business-consulting-services/performance-improvement-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/performance-improvement-consulting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Small Business Consulting",
      "slug": "small-business-consulting",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/small-business-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/small-business-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/small-business-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/small-business-consulting.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "small-business-consulting",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 71.35,
        "p25_aov_usd": 28.33,
        "p75_aov_usd": 409.67,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Small Business Consulting account AOV: median $71.35; middle 50% $28.33–$409.67. Snapshot read 2026-10-11T14:07:00.986886+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/business-consulting-services/small-business-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/small-business-consulting#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Strategy & Corporate Advisory",
      "slug": "strategy-corporate-advisory",
      "kind": "subcategory",
      "parent_slug": "business-consulting-services",
      "url": "https://madgicx.com/labs/industries/business-consulting-services/strategy-corporate-advisory",
      "benchmark_url": "https://madgicx.com/labs/industries/business-consulting-services/strategy-corporate-advisory#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-consulting-services/strategy-corporate-advisory.md",
      "json_url": "https://madgicx.com/labs/industries/business-consulting-services/strategy-corporate-advisory.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "strategy-corporate-advisory",
        "parent_slug": "business-consulting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:00.986886+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Strategy & Corporate Advisory: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:00.986886+00:00. https://madgicx.com/labs/industries/business-consulting-services/strategy-corporate-advisory#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-consulting-services/strategy-corporate-advisory#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Administrative Support Services",
      "slug": "administrative-support-services",
      "kind": "subcategory",
      "parent_slug": "business-process-outsourcing",
      "url": "https://madgicx.com/labs/industries/business-process-outsourcing/administrative-support-services",
      "benchmark_url": "https://madgicx.com/labs/industries/business-process-outsourcing/administrative-support-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-process-outsourcing/administrative-support-services.md",
      "json_url": "https://madgicx.com/labs/industries/business-process-outsourcing/administrative-support-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "administrative-support-services",
        "parent_slug": "business-process-outsourcing",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:05.551690+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Administrative Support Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:05.551690+00:00. https://madgicx.com/labs/industries/business-process-outsourcing/administrative-support-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-process-outsourcing/administrative-support-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Back Office Processing Services",
      "slug": "back-office-processing-services",
      "kind": "subcategory",
      "parent_slug": "business-process-outsourcing",
      "url": "https://madgicx.com/labs/industries/business-process-outsourcing/back-office-processing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/business-process-outsourcing/back-office-processing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-process-outsourcing/back-office-processing-services.md",
      "json_url": "https://madgicx.com/labs/industries/business-process-outsourcing/back-office-processing-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "back-office-processing-services",
        "parent_slug": "business-process-outsourcing",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:05.551690+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Back Office Processing Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:05.551690+00:00. https://madgicx.com/labs/industries/business-process-outsourcing/back-office-processing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-process-outsourcing/back-office-processing-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Customer Service Call Centers",
      "slug": "customer-service-call-centers",
      "kind": "subcategory",
      "parent_slug": "business-process-outsourcing",
      "url": "https://madgicx.com/labs/industries/business-process-outsourcing/customer-service-call-centers",
      "benchmark_url": "https://madgicx.com/labs/industries/business-process-outsourcing/customer-service-call-centers#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-process-outsourcing/customer-service-call-centers.md",
      "json_url": "https://madgicx.com/labs/industries/business-process-outsourcing/customer-service-call-centers.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "customer-service-call-centers",
        "parent_slug": "business-process-outsourcing",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:05.551690+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Customer Service Call Centers: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:05.551690+00:00. https://madgicx.com/labs/industries/business-process-outsourcing/customer-service-call-centers#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-process-outsourcing/customer-service-call-centers#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Data Entry & Processing Services",
      "slug": "data-entry-processing-services",
      "kind": "subcategory",
      "parent_slug": "business-process-outsourcing",
      "url": "https://madgicx.com/labs/industries/business-process-outsourcing/data-entry-processing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/business-process-outsourcing/data-entry-processing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-process-outsourcing/data-entry-processing-services.md",
      "json_url": "https://madgicx.com/labs/industries/business-process-outsourcing/data-entry-processing-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "data-entry-processing-services",
        "parent_slug": "business-process-outsourcing",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:05.551690+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Data Entry & Processing Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:05.551690+00:00. https://madgicx.com/labs/industries/business-process-outsourcing/data-entry-processing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-process-outsourcing/data-entry-processing-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Document Processing Services",
      "slug": "document-processing-services",
      "kind": "subcategory",
      "parent_slug": "business-process-outsourcing",
      "url": "https://madgicx.com/labs/industries/business-process-outsourcing/document-processing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/business-process-outsourcing/document-processing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/business-process-outsourcing/document-processing-services.md",
      "json_url": "https://madgicx.com/labs/industries/business-process-outsourcing/document-processing-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "document-processing-services",
        "parent_slug": "business-process-outsourcing",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:05.551690+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Document Processing Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:05.551690+00:00. https://madgicx.com/labs/industries/business-process-outsourcing/document-processing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/business-process-outsourcing/document-processing-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "After School Care Programs",
      "slug": "after-school-care-programs",
      "kind": "subcategory",
      "parent_slug": "child-care-development-services",
      "url": "https://madgicx.com/labs/industries/child-care-development-services/after-school-care-programs",
      "benchmark_url": "https://madgicx.com/labs/industries/child-care-development-services/after-school-care-programs#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/child-care-development-services/after-school-care-programs.md",
      "json_url": "https://madgicx.com/labs/industries/child-care-development-services/after-school-care-programs.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "after-school-care-programs",
        "parent_slug": "child-care-development-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:11.000994+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. After School Care Programs: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:11.000994+00:00. https://madgicx.com/labs/industries/child-care-development-services/after-school-care-programs#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/child-care-development-services/after-school-care-programs#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Babysitting Nanny Services",
      "slug": "babysitting-nanny-services",
      "kind": "subcategory",
      "parent_slug": "child-care-development-services",
      "url": "https://madgicx.com/labs/industries/child-care-development-services/babysitting-nanny-services",
      "benchmark_url": "https://madgicx.com/labs/industries/child-care-development-services/babysitting-nanny-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/child-care-development-services/babysitting-nanny-services.md",
      "json_url": "https://madgicx.com/labs/industries/child-care-development-services/babysitting-nanny-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "babysitting-nanny-services",
        "parent_slug": "child-care-development-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:11.000994+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Babysitting Nanny Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:11.000994+00:00. https://madgicx.com/labs/industries/child-care-development-services/babysitting-nanny-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/child-care-development-services/babysitting-nanny-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Child Development Programs",
      "slug": "child-development-programs",
      "kind": "subcategory",
      "parent_slug": "child-care-development-services",
      "url": "https://madgicx.com/labs/industries/child-care-development-services/child-development-programs",
      "benchmark_url": "https://madgicx.com/labs/industries/child-care-development-services/child-development-programs#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/child-care-development-services/child-development-programs.md",
      "json_url": "https://madgicx.com/labs/industries/child-care-development-services/child-development-programs.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "child-development-programs",
        "parent_slug": "child-care-development-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 26.15,
        "p25_aov_usd": 13.14,
        "p75_aov_usd": 86.39,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:11.000994+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Child Development Programs account AOV: median $26.15; middle 50% $13.14–$86.39. Snapshot read 2026-10-11T14:07:11.000994+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/child-care-development-services/child-development-programs#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/child-care-development-services/child-development-programs#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Daycare Care Services",
      "slug": "daycare-care-services",
      "kind": "subcategory",
      "parent_slug": "child-care-development-services",
      "url": "https://madgicx.com/labs/industries/child-care-development-services/daycare-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/child-care-development-services/daycare-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/child-care-development-services/daycare-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/child-care-development-services/daycare-care-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "daycare-care-services",
        "parent_slug": "child-care-development-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:11.000994+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Daycare Care Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:11.000994+00:00. https://madgicx.com/labs/industries/child-care-development-services/daycare-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/child-care-development-services/daycare-care-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Infant Toddler Care Services",
      "slug": "infant-toddler-care-services",
      "kind": "subcategory",
      "parent_slug": "child-care-development-services",
      "url": "https://madgicx.com/labs/industries/child-care-development-services/infant-toddler-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/child-care-development-services/infant-toddler-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/child-care-development-services/infant-toddler-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/child-care-development-services/infant-toddler-care-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "infant-toddler-care-services",
        "parent_slug": "child-care-development-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:11.000994+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Infant Toddler Care Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:11.000994+00:00. https://madgicx.com/labs/industries/child-care-development-services/infant-toddler-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/child-care-development-services/infant-toddler-care-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Preschool Early Learning",
      "slug": "preschool-early-learning",
      "kind": "subcategory",
      "parent_slug": "child-care-development-services",
      "url": "https://madgicx.com/labs/industries/child-care-development-services/preschool-early-learning",
      "benchmark_url": "https://madgicx.com/labs/industries/child-care-development-services/preschool-early-learning#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/child-care-development-services/preschool-early-learning.md",
      "json_url": "https://madgicx.com/labs/industries/child-care-development-services/preschool-early-learning.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "preschool-early-learning",
        "parent_slug": "child-care-development-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 47.0,
        "p25_aov_usd": 24.7,
        "p75_aov_usd": 53.37,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:11.000994+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Preschool Early Learning account AOV: median $47.00; middle 50% $24.70–$53.37. Snapshot read 2026-10-11T14:07:11.000994+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/child-care-development-services/preschool-early-learning#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/child-care-development-services/preschool-early-learning#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Antiques & Historical Artifacts",
      "slug": "antiques-historical-artifacts",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/antiques-historical-artifacts",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/antiques-historical-artifacts#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/antiques-historical-artifacts.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/antiques-historical-artifacts.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "antiques-historical-artifacts",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": 83.9,
        "p25_aov_usd": 31.62,
        "p75_aov_usd": 160.57,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Antiques & Historical Artifacts account AOV: median $83.90; middle 50% $31.62–$160.57. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts/antiques-historical-artifacts#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/antiques-historical-artifacts#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Coins Stamps & Currency",
      "slug": "coins-stamps-currency",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/coins-stamps-currency",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/coins-stamps-currency#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/coins-stamps-currency.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/coins-stamps-currency.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "coins-stamps-currency",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": 52.16,
        "p25_aov_usd": 14.55,
        "p75_aov_usd": 88.46,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Coins Stamps & Currency account AOV: median $52.16; middle 50% $14.55–$88.46. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts/coins-stamps-currency#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/coins-stamps-currency#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Collectible Art & Prints",
      "slug": "collectible-art-prints",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/collectible-art-prints",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/collectible-art-prints#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/collectible-art-prints.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/collectible-art-prints.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "collectible-art-prints",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": 127.58,
        "p25_aov_usd": 42.28,
        "p75_aov_usd": 279.69,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Collectible Art & Prints account AOV: median $127.58; middle 50% $42.28–$279.69. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts/collectible-art-prints#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/collectible-art-prints#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Entertainment Memorabilia",
      "slug": "entertainment-memorabilia",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/entertainment-memorabilia",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/entertainment-memorabilia#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/entertainment-memorabilia.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/entertainment-memorabilia.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "entertainment-memorabilia",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": 42.1,
        "p25_aov_usd": 33.76,
        "p75_aov_usd": 142.95,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Entertainment Memorabilia account AOV: median $42.10; middle 50% $33.76–$142.95. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts/entertainment-memorabilia#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/entertainment-memorabilia#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Rare & Specialty Collectibles",
      "slug": "rare-specialty-collectibles",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/rare-specialty-collectibles",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/rare-specialty-collectibles#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/rare-specialty-collectibles.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/rare-specialty-collectibles.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "rare-specialty-collectibles",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": 115.72,
        "p25_aov_usd": 41.59,
        "p75_aov_usd": 189.79,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Rare & Specialty Collectibles account AOV: median $115.72; middle 50% $41.59–$189.79. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts/rare-specialty-collectibles#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/rare-specialty-collectibles#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Sports Memorabilia",
      "slug": "sports-memorabilia",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/sports-memorabilia",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/sports-memorabilia#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/sports-memorabilia.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/sports-memorabilia.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "sports-memorabilia",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": 65.33,
        "p25_aov_usd": 48.65,
        "p75_aov_usd": 125.65,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Sports Memorabilia account AOV: median $65.33; middle 50% $48.65–$125.65. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts/sports-memorabilia#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/sports-memorabilia#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Trading Cards & Comics",
      "slug": "trading-cards-comics",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/trading-cards-comics",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/trading-cards-comics#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/trading-cards-comics.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/trading-cards-comics.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "trading-cards-comics",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": 46.34,
        "p25_aov_usd": 24.32,
        "p75_aov_usd": 96.67,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Trading Cards & Comics account AOV: median $46.34; middle 50% $24.32–$96.67. Snapshot read 2026-10-11T14:07:16.182346+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/collectibles-artifacts/trading-cards-comics#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/trading-cards-comics#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vintage Toys & Models",
      "slug": "vintage-toys-models",
      "kind": "subcategory",
      "parent_slug": "collectibles-artifacts",
      "url": "https://madgicx.com/labs/industries/collectibles-artifacts/vintage-toys-models",
      "benchmark_url": "https://madgicx.com/labs/industries/collectibles-artifacts/vintage-toys-models#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/collectibles-artifacts/vintage-toys-models.md",
      "json_url": "https://madgicx.com/labs/industries/collectibles-artifacts/vintage-toys-models.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "vintage-toys-models",
        "parent_slug": "collectibles-artifacts",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:16.182346+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vintage Toys & Models: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:16.182346+00:00. https://madgicx.com/labs/industries/collectibles-artifacts/vintage-toys-models#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/collectibles-artifacts/vintage-toys-models#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Community Building Creators",
      "slug": "community-building-creators",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/community-building-creators",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/community-building-creators#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/community-building-creators.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/community-building-creators.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "community-building-creators",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": 34.95,
        "p25_aov_usd": 9.36,
        "p75_aov_usd": 74.0,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Community Building Creators account AOV: median $34.95; middle 50% $9.36–$74.00. Snapshot read 2026-10-11T14:07:20.829230+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/content-creators-influencers/community-building-creators#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/community-building-creators#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Creator Merchandise Stores",
      "slug": "creator-merchandise-stores",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/creator-merchandise-stores",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/creator-merchandise-stores#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/creator-merchandise-stores.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/creator-merchandise-stores.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "creator-merchandise-stores",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Creator Merchandise Stores: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:20.829230+00:00. https://madgicx.com/labs/industries/content-creators-influencers/creator-merchandise-stores#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/creator-merchandise-stores#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Digital Product Creators",
      "slug": "digital-product-creators",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/digital-product-creators",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/digital-product-creators#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/digital-product-creators.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/digital-product-creators.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "digital-product-creators",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": 28.63,
        "p25_aov_usd": 10.15,
        "p75_aov_usd": 46.35,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Digital Product Creators account AOV: median $28.63; middle 50% $10.15–$46.35. Snapshot read 2026-10-11T14:07:20.829230+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/content-creators-influencers/digital-product-creators#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/digital-product-creators#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Lifestyle & Niche Creators",
      "slug": "lifestyle-niche-creators",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/lifestyle-niche-creators",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/lifestyle-niche-creators#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/lifestyle-niche-creators.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/lifestyle-niche-creators.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "lifestyle-niche-creators",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Lifestyle & Niche Creators: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:20.829230+00:00. https://madgicx.com/labs/industries/content-creators-influencers/lifestyle-niche-creators#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/lifestyle-niche-creators#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Personal Brand Services",
      "slug": "personal-brand-services",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/personal-brand-services",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/personal-brand-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/personal-brand-services.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/personal-brand-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "personal-brand-services",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": 13.87,
        "p25_aov_usd": 7.04,
        "p75_aov_usd": 68.97,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Personal Brand Services account AOV: median $13.87; middle 50% $7.04–$68.97. Snapshot read 2026-10-11T14:07:20.829230+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/content-creators-influencers/personal-brand-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/personal-brand-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Podcast & Audio Creators",
      "slug": "podcast-audio-creators",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/podcast-audio-creators",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/podcast-audio-creators#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/podcast-audio-creators.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/podcast-audio-creators.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "podcast-audio-creators",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Podcast & Audio Creators: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:20.829230+00:00. https://madgicx.com/labs/industries/content-creators-influencers/podcast-audio-creators#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/podcast-audio-creators#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Social Media Influencers",
      "slug": "social-media-influencers",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/social-media-influencers",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/social-media-influencers#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/social-media-influencers.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/social-media-influencers.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "social-media-influencers",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Social Media Influencers: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:20.829230+00:00. https://madgicx.com/labs/industries/content-creators-influencers/social-media-influencers#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/social-media-influencers#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Video Content Creators",
      "slug": "video-content-creators",
      "kind": "subcategory",
      "parent_slug": "content-creators-influencers",
      "url": "https://madgicx.com/labs/industries/content-creators-influencers/video-content-creators",
      "benchmark_url": "https://madgicx.com/labs/industries/content-creators-influencers/video-content-creators#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/content-creators-influencers/video-content-creators.md",
      "json_url": "https://madgicx.com/labs/industries/content-creators-influencers/video-content-creators.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "video-content-creators",
        "parent_slug": "content-creators-influencers",
        "cohort_scope": "exact_child",
        "median_aov_usd": 45.35,
        "p25_aov_usd": 37.39,
        "p75_aov_usd": 169.21,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:20.829230+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Video Content Creators account AOV: median $45.35; middle 50% $37.39–$169.21. Snapshot read 2026-10-11T14:07:20.829230+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/content-creators-influencers/video-content-creators#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/content-creators-influencers/video-content-creators#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Advertising Platforms & Dsps",
      "slug": "advertising-platforms-dsps",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/advertising-platforms-dsps",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/advertising-platforms-dsps#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/advertising-platforms-dsps.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/advertising-platforms-dsps.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "advertising-platforms-dsps",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 47.05,
        "p25_aov_usd": 10.44,
        "p75_aov_usd": 89.44,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Advertising Platforms & Dsps account AOV: median $47.05; middle 50% $10.44–$89.44. Snapshot read 2026-10-11T14:07:30.734392+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/advertising-platforms-dsps#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/advertising-platforms-dsps#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Analytics & Reporting Tools",
      "slug": "analytics-reporting-tools",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/analytics-reporting-tools",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/analytics-reporting-tools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/analytics-reporting-tools.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/analytics-reporting-tools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "analytics-reporting-tools",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Analytics & Reporting Tools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:30.734392+00:00. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/analytics-reporting-tools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/analytics-reporting-tools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Email Marketing Platforms",
      "slug": "email-marketing-platforms",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/email-marketing-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/email-marketing-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/email-marketing-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/email-marketing-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "email-marketing-platforms",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Email Marketing Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:30.734392+00:00. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/email-marketing-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/email-marketing-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Lead Generation & Capture Tools",
      "slug": "lead-generation-capture-tools",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/lead-generation-capture-tools",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/lead-generation-capture-tools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/lead-generation-capture-tools.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/lead-generation-capture-tools.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "lead-generation-capture-tools",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 144.76,
        "p25_aov_usd": 18.92,
        "p75_aov_usd": 840.91,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Lead Generation & Capture Tools account AOV: median $144.76; middle 50% $18.92–$840.91. Snapshot read 2026-10-11T14:07:30.734392+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/lead-generation-capture-tools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/lead-generation-capture-tools#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Marketing Automation Software",
      "slug": "marketing-automation-software",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-automation-software",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-automation-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-automation-software.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-automation-software.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "marketing-automation-software",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Marketing Automation Software: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:30.734392+00:00. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-automation-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-automation-software#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Marketing Integration Platforms",
      "slug": "marketing-integration-platforms",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-integration-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-integration-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-integration-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-integration-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "marketing-integration-platforms",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Marketing Integration Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:30.734392+00:00. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-integration-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/marketing-integration-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "SEO & Content Optimization Tools",
      "slug": "seo-content-optimization-tools",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/seo-content-optimization-tools",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/seo-content-optimization-tools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/seo-content-optimization-tools.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/seo-content-optimization-tools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "seo-content-optimization-tools",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. SEO & Content Optimization Tools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:30.734392+00:00. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/seo-content-optimization-tools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/seo-content-optimization-tools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Social Media Marketing Platforms",
      "slug": "social-media-marketing-platforms",
      "kind": "subcategory",
      "parent_slug": "digital-marketing-advertising-platforms",
      "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/social-media-marketing-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/social-media-marketing-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/social-media-marketing-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/social-media-marketing-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "social-media-marketing-platforms",
        "parent_slug": "digital-marketing-advertising-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": 29.75,
        "p25_aov_usd": 13.04,
        "p75_aov_usd": 119.33,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:30.734392+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Social Media Marketing Platforms account AOV: median $29.75; middle 50% $13.04–$119.33. Snapshot read 2026-10-11T14:07:30.734392+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/social-media-marketing-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/digital-marketing-advertising-platforms/social-media-marketing-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Academic Tutoring Services",
      "slug": "academic-tutoring-services",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/academic-tutoring-services",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/academic-tutoring-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/academic-tutoring-services.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/academic-tutoring-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "academic-tutoring-services",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 64.8,
        "p25_aov_usd": 22.85,
        "p75_aov_usd": 181.27,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Academic Tutoring Services account AOV: median $64.80; middle 50% $22.85–$181.27. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/academic-tutoring-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/academic-tutoring-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Continuing Education Programs",
      "slug": "continuing-education-programs",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/continuing-education-programs",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/continuing-education-programs#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/continuing-education-programs.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/continuing-education-programs.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "continuing-education-programs",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 201.32,
        "p25_aov_usd": 27.48,
        "p75_aov_usd": 478.76,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Continuing Education Programs account AOV: median $201.32; middle 50% $27.48–$478.76. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/continuing-education-programs#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/continuing-education-programs#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Corporate Training & Development",
      "slug": "corporate-training-development",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/corporate-training-development",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/corporate-training-development#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/corporate-training-development.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/corporate-training-development.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "corporate-training-development",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 94.27,
        "p25_aov_usd": 25.62,
        "p75_aov_usd": 376.4,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Corporate Training & Development account AOV: median $94.27; middle 50% $25.62–$376.40. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/corporate-training-development#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/corporate-training-development#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Language Learning Services",
      "slug": "language-learning-services",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/language-learning-services",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/language-learning-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/language-learning-services.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/language-learning-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "language-learning-services",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 55.74,
        "p25_aov_usd": 9.65,
        "p75_aov_usd": 126.46,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Language Learning Services account AOV: median $55.74; middle 50% $9.65–$126.46. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/language-learning-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/language-learning-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Online Learning Platforms",
      "slug": "online-learning-platforms",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/online-learning-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/online-learning-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/online-learning-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/online-learning-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "online-learning-platforms",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 47.97,
        "p25_aov_usd": 11.72,
        "p75_aov_usd": 197.82,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Online Learning Platforms account AOV: median $47.97; middle 50% $11.72–$197.82. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/online-learning-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/online-learning-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Skill Based Training Programs",
      "slug": "skill-based-training-programs",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/skill-based-training-programs",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/skill-based-training-programs#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/skill-based-training-programs.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/skill-based-training-programs.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "skill-based-training-programs",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 66.4,
        "p25_aov_usd": 13.09,
        "p75_aov_usd": 188.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Skill Based Training Programs account AOV: median $66.40; middle 50% $13.09–$188.20. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/skill-based-training-programs#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/skill-based-training-programs#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Test Preparation Services",
      "slug": "test-preparation-services",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/test-preparation-services",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/test-preparation-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/test-preparation-services.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/test-preparation-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "test-preparation-services",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 64.66,
        "p25_aov_usd": 19.68,
        "p75_aov_usd": 135.32,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Test Preparation Services account AOV: median $64.66; middle 50% $19.68–$135.32. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/test-preparation-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/test-preparation-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vocational & Trade Training",
      "slug": "vocational-trade-training",
      "kind": "subcategory",
      "parent_slug": "educational-services-training",
      "url": "https://madgicx.com/labs/industries/educational-services-training/vocational-trade-training",
      "benchmark_url": "https://madgicx.com/labs/industries/educational-services-training/vocational-trade-training#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/educational-services-training/vocational-trade-training.md",
      "json_url": "https://madgicx.com/labs/industries/educational-services-training/vocational-trade-training.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "vocational-trade-training",
        "parent_slug": "educational-services-training",
        "cohort_scope": "exact_child",
        "median_aov_usd": 68.96,
        "p25_aov_usd": 35.86,
        "p75_aov_usd": 312.3,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:37.892057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vocational & Trade Training account AOV: median $68.96; middle 50% $35.86–$312.30. Snapshot read 2026-10-11T14:07:37.892057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/educational-services-training/vocational-trade-training#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/educational-services-training/vocational-trade-training#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Dating Events & Activities",
      "slug": "dating-events-activities",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-events-activities",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-events-activities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-events-activities.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-events-activities.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "dating-events-activities",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Dating Events & Activities: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:25.498677+00:00. https://madgicx.com/labs/industries/dating-relationship-services/dating-events-activities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-events-activities#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Dating Safety & Verification Services",
      "slug": "dating-safety-verification-services",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-safety-verification-services",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-safety-verification-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-safety-verification-services.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-safety-verification-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "dating-safety-verification-services",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Dating Safety & Verification Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:25.498677+00:00. https://madgicx.com/labs/industries/dating-relationship-services/dating-safety-verification-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/dating-safety-verification-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "International Dating Platforms",
      "slug": "international-dating-platforms",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/international-dating-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/international-dating-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/international-dating-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/international-dating-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "international-dating-platforms",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. International Dating Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:25.498677+00:00. https://madgicx.com/labs/industries/dating-relationship-services/international-dating-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/international-dating-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mainstream Dating Apps",
      "slug": "mainstream-dating-apps",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/mainstream-dating-apps",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/mainstream-dating-apps#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/mainstream-dating-apps.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/mainstream-dating-apps.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "mainstream-dating-apps",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 21.96,
        "p25_aov_usd": 14.32,
        "p75_aov_usd": 37.21,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mainstream Dating Apps account AOV: median $21.96; middle 50% $14.32–$37.21. Snapshot read 2026-10-11T14:07:25.498677+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/dating-relationship-services/mainstream-dating-apps#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/mainstream-dating-apps#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Matchmaking & Personal Services",
      "slug": "matchmaking-personal-services",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/matchmaking-personal-services",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/matchmaking-personal-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/matchmaking-personal-services.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/matchmaking-personal-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "matchmaking-personal-services",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 34.76,
        "p25_aov_usd": 13.21,
        "p75_aov_usd": 41.18,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Matchmaking & Personal Services account AOV: median $34.76; middle 50% $13.21–$41.18. Snapshot read 2026-10-11T14:07:25.498677+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/dating-relationship-services/matchmaking-personal-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/matchmaking-personal-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Niche Dating Services",
      "slug": "niche-dating-services",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/niche-dating-services",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/niche-dating-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/niche-dating-services.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/niche-dating-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "niche-dating-services",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 9.01,
        "p25_aov_usd": 2.88,
        "p75_aov_usd": 35.62,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Niche Dating Services account AOV: median $9.01; middle 50% $2.88–$35.62. Snapshot read 2026-10-11T14:07:25.498677+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/dating-relationship-services/niche-dating-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/niche-dating-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Premium Dating Services",
      "slug": "premium-dating-services",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/premium-dating-services",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/premium-dating-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/premium-dating-services.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/premium-dating-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "premium-dating-services",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Premium Dating Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:25.498677+00:00. https://madgicx.com/labs/industries/dating-relationship-services/premium-dating-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/premium-dating-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Relationship Focused Platforms",
      "slug": "relationship-focused-platforms",
      "kind": "subcategory",
      "parent_slug": "dating-relationship-services",
      "url": "https://madgicx.com/labs/industries/dating-relationship-services/relationship-focused-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/dating-relationship-services/relationship-focused-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/dating-relationship-services/relationship-focused-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/dating-relationship-services/relationship-focused-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "relationship-focused-platforms",
        "parent_slug": "dating-relationship-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 18.76,
        "p25_aov_usd": 9.22,
        "p75_aov_usd": 38.82,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:25.498677+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Relationship Focused Platforms account AOV: median $18.76; middle 50% $9.22–$38.82. Snapshot read 2026-10-11T14:07:25.498677+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/dating-relationship-services/relationship-focused-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/dating-relationship-services/relationship-focused-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Commercial Recycling Services",
      "slug": "commercial-recycling-services",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/commercial-recycling-services",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/commercial-recycling-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/commercial-recycling-services.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/commercial-recycling-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "commercial-recycling-services",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Commercial Recycling Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/commercial-recycling-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/commercial-recycling-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Corporate Sustainability Consulting",
      "slug": "corporate-sustainability-consulting",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/corporate-sustainability-consulting",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/corporate-sustainability-consulting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/corporate-sustainability-consulting.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/corporate-sustainability-consulting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "corporate-sustainability-consulting",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Corporate Sustainability Consulting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/corporate-sustainability-consulting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/corporate-sustainability-consulting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Environmental Consulting & Compliance",
      "slug": "environmental-consulting-compliance",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-consulting-compliance",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-consulting-compliance#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-consulting-compliance.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-consulting-compliance.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "environmental-consulting-compliance",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Environmental Consulting & Compliance: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-consulting-compliance#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-consulting-compliance#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Environmental Impact Assessment",
      "slug": "environmental-impact-assessment",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-impact-assessment",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-impact-assessment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-impact-assessment.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-impact-assessment.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "environmental-impact-assessment",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Environmental Impact Assessment: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-impact-assessment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-impact-assessment#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Environmental Training & Education",
      "slug": "environmental-training-education",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-training-education",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-training-education#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-training-education.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-training-education.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "environmental-training-education",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Environmental Training & Education: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-training-education#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/environmental-training-education#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Green Certification Services",
      "slug": "green-certification-services",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/green-certification-services",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/green-certification-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/green-certification-services.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/green-certification-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "green-certification-services",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Green Certification Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/green-certification-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/green-certification-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Sustainability Auditing & Reporting",
      "slug": "sustainability-auditing-reporting",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/sustainability-auditing-reporting",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/sustainability-auditing-reporting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/sustainability-auditing-reporting.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/sustainability-auditing-reporting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "sustainability-auditing-reporting",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Sustainability Auditing & Reporting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/sustainability-auditing-reporting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/sustainability-auditing-reporting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Waste Management Solutions",
      "slug": "waste-management-solutions",
      "kind": "subcategory",
      "parent_slug": "environmental-sustainability-services",
      "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/waste-management-solutions",
      "benchmark_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/waste-management-solutions#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/waste-management-solutions.md",
      "json_url": "https://madgicx.com/labs/industries/environmental-sustainability-services/waste-management-solutions.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "waste-management-solutions",
        "parent_slug": "environmental-sustainability-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:48.287920+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Waste Management Solutions: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:48.287920+00:00. https://madgicx.com/labs/industries/environmental-sustainability-services/waste-management-solutions#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/environmental-sustainability-services/waste-management-solutions#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Corporate Event Services",
      "slug": "corporate-event-services",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/corporate-event-services",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/corporate-event-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/corporate-event-services.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/corporate-event-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "corporate-event-services",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 119.83,
        "p25_aov_usd": 91.45,
        "p75_aov_usd": 325.41,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Corporate Event Services account AOV: median $119.83; middle 50% $91.45–$325.41. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/corporate-event-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/corporate-event-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Entertainment Booking Agencies",
      "slug": "entertainment-booking-agencies",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/entertainment-booking-agencies",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/entertainment-booking-agencies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/entertainment-booking-agencies.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/entertainment-booking-agencies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "entertainment-booking-agencies",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 70.77,
        "p25_aov_usd": 39.24,
        "p75_aov_usd": 125.02,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Entertainment Booking Agencies account AOV: median $70.77; middle 50% $39.24–$125.02. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/entertainment-booking-agencies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/entertainment-booking-agencies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Event Decor Services",
      "slug": "event-decor-services",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-decor-services",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-decor-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-decor-services.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-decor-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "event-decor-services",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 61.55,
        "p25_aov_usd": 37.25,
        "p75_aov_usd": 116.69,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Event Decor Services account AOV: median $61.55; middle 50% $37.25–$116.69. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/event-decor-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-decor-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Event Equipment Rentals",
      "slug": "event-equipment-rentals",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-equipment-rentals",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-equipment-rentals#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-equipment-rentals.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-equipment-rentals.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "event-equipment-rentals",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 451.63,
        "p25_aov_usd": 344.25,
        "p75_aov_usd": 584.07,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Event Equipment Rentals account AOV: median $451.63; middle 50% $344.25–$584.07. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/event-equipment-rentals#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-equipment-rentals#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Event Technical Production",
      "slug": "event-technical-production",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-technical-production",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-technical-production#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-technical-production.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-technical-production.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "event-technical-production",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Event Technical Production: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:07:55.082399+00:00. https://madgicx.com/labs/industries/event-entertainment-services/event-technical-production#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-technical-production#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Event Venue Rentals",
      "slug": "event-venue-rentals",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-venue-rentals",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-venue-rentals#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-venue-rentals.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/event-venue-rentals.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "event-venue-rentals",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 63.1,
        "p25_aov_usd": 41.64,
        "p75_aov_usd": 118.09,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Event Venue Rentals account AOV: median $63.10; middle 50% $41.64–$118.09. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/event-venue-rentals#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/event-venue-rentals#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Interactive Event Services",
      "slug": "interactive-event-services",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/interactive-event-services",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/interactive-event-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/interactive-event-services.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/interactive-event-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "interactive-event-services",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 83.94,
        "p25_aov_usd": 52.03,
        "p75_aov_usd": 143.44,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Interactive Event Services account AOV: median $83.94; middle 50% $52.03–$143.44. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/interactive-event-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/interactive-event-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Social Event Planning",
      "slug": "social-event-planning",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/social-event-planning",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/social-event-planning#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/social-event-planning.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/social-event-planning.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "social-event-planning",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 49.81,
        "p25_aov_usd": 30.88,
        "p75_aov_usd": 113.84,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Social Event Planning account AOV: median $49.81; middle 50% $30.88–$113.84. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/social-event-planning#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/social-event-planning#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Wedding Planning Services",
      "slug": "wedding-planning-services",
      "kind": "subcategory",
      "parent_slug": "event-entertainment-services",
      "url": "https://madgicx.com/labs/industries/event-entertainment-services/wedding-planning-services",
      "benchmark_url": "https://madgicx.com/labs/industries/event-entertainment-services/wedding-planning-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/event-entertainment-services/wedding-planning-services.md",
      "json_url": "https://madgicx.com/labs/industries/event-entertainment-services/wedding-planning-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "wedding-planning-services",
        "parent_slug": "event-entertainment-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 32.39,
        "p25_aov_usd": 21.4,
        "p75_aov_usd": 135.02,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:07:55.082399+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Wedding Planning Services account AOV: median $32.39; middle 50% $21.40–$135.02. Snapshot read 2026-10-11T14:07:55.082399+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/event-entertainment-services/wedding-planning-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/event-entertainment-services/wedding-planning-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Appliance Repair Services",
      "slug": "appliance-repair-services",
      "kind": "subcategory",
      "parent_slug": "home-local-services",
      "url": "https://madgicx.com/labs/industries/home-local-services/appliance-repair-services",
      "benchmark_url": "https://madgicx.com/labs/industries/home-local-services/appliance-repair-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-local-services/appliance-repair-services.md",
      "json_url": "https://madgicx.com/labs/industries/home-local-services/appliance-repair-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "appliance-repair-services",
        "parent_slug": "home-local-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:00.921050+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Appliance Repair Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:00.921050+00:00. https://madgicx.com/labs/industries/home-local-services/appliance-repair-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-local-services/appliance-repair-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cleaning Janitorial Services",
      "slug": "cleaning-janitorial-services",
      "kind": "subcategory",
      "parent_slug": "home-local-services",
      "url": "https://madgicx.com/labs/industries/home-local-services/cleaning-janitorial-services",
      "benchmark_url": "https://madgicx.com/labs/industries/home-local-services/cleaning-janitorial-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-local-services/cleaning-janitorial-services.md",
      "json_url": "https://madgicx.com/labs/industries/home-local-services/cleaning-janitorial-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "cleaning-janitorial-services",
        "parent_slug": "home-local-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 45.53,
        "p25_aov_usd": 22.11,
        "p75_aov_usd": 104.74,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:00.921050+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cleaning Janitorial Services account AOV: median $45.53; middle 50% $22.11–$104.74. Snapshot read 2026-10-11T14:09:00.921050+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-local-services/cleaning-janitorial-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-local-services/cleaning-janitorial-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Maintenance Repair Services",
      "slug": "home-maintenance-repair-services",
      "kind": "subcategory",
      "parent_slug": "home-local-services",
      "url": "https://madgicx.com/labs/industries/home-local-services/home-maintenance-repair-services",
      "benchmark_url": "https://madgicx.com/labs/industries/home-local-services/home-maintenance-repair-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-local-services/home-maintenance-repair-services.md",
      "json_url": "https://madgicx.com/labs/industries/home-local-services/home-maintenance-repair-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "home-maintenance-repair-services",
        "parent_slug": "home-local-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 1000.0,
        "p25_aov_usd": 51.25,
        "p75_aov_usd": 7642.62,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:00.921050+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Maintenance Repair Services account AOV: median $1,000.00; middle 50% $51.25–$7,642.62. Snapshot read 2026-10-11T14:09:00.921050+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-local-services/home-maintenance-repair-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-local-services/home-maintenance-repair-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Landscaping Outdoor Services",
      "slug": "landscaping-outdoor-services",
      "kind": "subcategory",
      "parent_slug": "home-local-services",
      "url": "https://madgicx.com/labs/industries/home-local-services/landscaping-outdoor-services",
      "benchmark_url": "https://madgicx.com/labs/industries/home-local-services/landscaping-outdoor-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-local-services/landscaping-outdoor-services.md",
      "json_url": "https://madgicx.com/labs/industries/home-local-services/landscaping-outdoor-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "landscaping-outdoor-services",
        "parent_slug": "home-local-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 98.76,
        "p25_aov_usd": 40.79,
        "p75_aov_usd": 234.87,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:00.921050+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Landscaping Outdoor Services account AOV: median $98.76; middle 50% $40.79–$234.87. Snapshot read 2026-10-11T14:09:00.921050+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-local-services/landscaping-outdoor-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-local-services/landscaping-outdoor-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Plumbing Electrical Services",
      "slug": "plumbing-electrical-services",
      "kind": "subcategory",
      "parent_slug": "home-local-services",
      "url": "https://madgicx.com/labs/industries/home-local-services/plumbing-electrical-services",
      "benchmark_url": "https://madgicx.com/labs/industries/home-local-services/plumbing-electrical-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-local-services/plumbing-electrical-services.md",
      "json_url": "https://madgicx.com/labs/industries/home-local-services/plumbing-electrical-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "plumbing-electrical-services",
        "parent_slug": "home-local-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:00.921050+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Plumbing Electrical Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:00.921050+00:00. https://madgicx.com/labs/industries/home-local-services/plumbing-electrical-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-local-services/plumbing-electrical-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Security Installation Services",
      "slug": "security-installation-services",
      "kind": "subcategory",
      "parent_slug": "home-local-services",
      "url": "https://madgicx.com/labs/industries/home-local-services/security-installation-services",
      "benchmark_url": "https://madgicx.com/labs/industries/home-local-services/security-installation-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-local-services/security-installation-services.md",
      "json_url": "https://madgicx.com/labs/industries/home-local-services/security-installation-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "security-installation-services",
        "parent_slug": "home-local-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:00.921050+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Security Installation Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:00.921050+00:00. https://madgicx.com/labs/industries/home-local-services/security-installation-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-local-services/security-installation-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Building Construction Materials",
      "slug": "building-construction-materials",
      "kind": "subcategory",
      "parent_slug": "home-improvement-tools-materials",
      "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/building-construction-materials",
      "benchmark_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/building-construction-materials#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/building-construction-materials.md",
      "json_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/building-construction-materials.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "building-construction-materials",
        "parent_slug": "home-improvement-tools-materials",
        "cohort_scope": "exact_child",
        "median_aov_usd": 368.23,
        "p25_aov_usd": 112.98,
        "p75_aov_usd": 1024.7,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:15.712448+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Building Construction Materials account AOV: median $368.23; middle 50% $112.98–$1,024.70. Snapshot read 2026-10-11T14:09:15.712448+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-improvement-tools-materials/building-construction-materials#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/building-construction-materials#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "DIY Project Supplies",
      "slug": "diy-project-supplies",
      "kind": "subcategory",
      "parent_slug": "home-improvement-tools-materials",
      "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/diy-project-supplies",
      "benchmark_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/diy-project-supplies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/diy-project-supplies.md",
      "json_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/diy-project-supplies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "diy-project-supplies",
        "parent_slug": "home-improvement-tools-materials",
        "cohort_scope": "exact_child",
        "median_aov_usd": 43.3,
        "p25_aov_usd": 12.88,
        "p75_aov_usd": 131.89,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:15.712448+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. DIY Project Supplies account AOV: median $43.30; middle 50% $12.88–$131.89. Snapshot read 2026-10-11T14:09:15.712448+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-improvement-tools-materials/diy-project-supplies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/diy-project-supplies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hardware Fasteners",
      "slug": "hardware-fasteners",
      "kind": "subcategory",
      "parent_slug": "home-improvement-tools-materials",
      "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/hardware-fasteners",
      "benchmark_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/hardware-fasteners#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/hardware-fasteners.md",
      "json_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/hardware-fasteners.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "hardware-fasteners",
        "parent_slug": "home-improvement-tools-materials",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:15.712448+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hardware Fasteners: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:15.712448+00:00. https://madgicx.com/labs/industries/home-improvement-tools-materials/hardware-fasteners#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/hardware-fasteners#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Paint Finishing Supplies",
      "slug": "paint-finishing-supplies",
      "kind": "subcategory",
      "parent_slug": "home-improvement-tools-materials",
      "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/paint-finishing-supplies",
      "benchmark_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/paint-finishing-supplies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/paint-finishing-supplies.md",
      "json_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/paint-finishing-supplies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "paint-finishing-supplies",
        "parent_slug": "home-improvement-tools-materials",
        "cohort_scope": "exact_child",
        "median_aov_usd": 95.1,
        "p25_aov_usd": 78.3,
        "p75_aov_usd": 122.99,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:15.712448+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Paint Finishing Supplies account AOV: median $95.10; middle 50% $78.30–$122.99. Snapshot read 2026-10-11T14:09:15.712448+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-improvement-tools-materials/paint-finishing-supplies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/paint-finishing-supplies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Plumbing Electrical Supplies",
      "slug": "plumbing-electrical-supplies",
      "kind": "subcategory",
      "parent_slug": "home-improvement-tools-materials",
      "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/plumbing-electrical-supplies",
      "benchmark_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/plumbing-electrical-supplies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/plumbing-electrical-supplies.md",
      "json_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/plumbing-electrical-supplies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "plumbing-electrical-supplies",
        "parent_slug": "home-improvement-tools-materials",
        "cohort_scope": "exact_child",
        "median_aov_usd": 142.55,
        "p25_aov_usd": 25.7,
        "p75_aov_usd": 272.27,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:15.712448+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Plumbing Electrical Supplies account AOV: median $142.55; middle 50% $25.70–$272.27. Snapshot read 2026-10-11T14:09:15.712448+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-improvement-tools-materials/plumbing-electrical-supplies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/plumbing-electrical-supplies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Power Hand Tools",
      "slug": "power-hand-tools",
      "kind": "subcategory",
      "parent_slug": "home-improvement-tools-materials",
      "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/power-hand-tools",
      "benchmark_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/power-hand-tools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/power-hand-tools.md",
      "json_url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/power-hand-tools.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "power-hand-tools",
        "parent_slug": "home-improvement-tools-materials",
        "cohort_scope": "exact_child",
        "median_aov_usd": 106.96,
        "p25_aov_usd": 61.27,
        "p75_aov_usd": 289.53,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:15.712448+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Power Hand Tools account AOV: median $106.96; middle 50% $61.27–$289.53. Snapshot read 2026-10-11T14:09:15.712448+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-improvement-tools-materials/power-hand-tools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-improvement-tools-materials/power-hand-tools#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Climate Control Systems",
      "slug": "climate-control-systems",
      "kind": "subcategory",
      "parent_slug": "home-systems-appliances",
      "url": "https://madgicx.com/labs/industries/home-systems-appliances/climate-control-systems",
      "benchmark_url": "https://madgicx.com/labs/industries/home-systems-appliances/climate-control-systems#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-systems-appliances/climate-control-systems.md",
      "json_url": "https://madgicx.com/labs/industries/home-systems-appliances/climate-control-systems.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "climate-control-systems",
        "parent_slug": "home-systems-appliances",
        "cohort_scope": "exact_child",
        "median_aov_usd": 293.59,
        "p25_aov_usd": 65.77,
        "p75_aov_usd": 692.94,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:21.239057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Climate Control Systems account AOV: median $293.59; middle 50% $65.77–$692.94. Snapshot read 2026-10-11T14:09:21.239057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-systems-appliances/climate-control-systems#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-systems-appliances/climate-control-systems#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Security Systems",
      "slug": "home-security-systems",
      "kind": "subcategory",
      "parent_slug": "home-systems-appliances",
      "url": "https://madgicx.com/labs/industries/home-systems-appliances/home-security-systems",
      "benchmark_url": "https://madgicx.com/labs/industries/home-systems-appliances/home-security-systems#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-systems-appliances/home-security-systems.md",
      "json_url": "https://madgicx.com/labs/industries/home-systems-appliances/home-security-systems.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "home-security-systems",
        "parent_slug": "home-systems-appliances",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:21.239057+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Security Systems: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:21.239057+00:00. https://madgicx.com/labs/industries/home-systems-appliances/home-security-systems#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-systems-appliances/home-security-systems#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Kitchen Appliances",
      "slug": "kitchen-appliances",
      "kind": "subcategory",
      "parent_slug": "home-systems-appliances",
      "url": "https://madgicx.com/labs/industries/home-systems-appliances/kitchen-appliances",
      "benchmark_url": "https://madgicx.com/labs/industries/home-systems-appliances/kitchen-appliances#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-systems-appliances/kitchen-appliances.md",
      "json_url": "https://madgicx.com/labs/industries/home-systems-appliances/kitchen-appliances.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "kitchen-appliances",
        "parent_slug": "home-systems-appliances",
        "cohort_scope": "exact_child",
        "median_aov_usd": 119.92,
        "p25_aov_usd": 47.72,
        "p75_aov_usd": 242.68,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:21.239057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Kitchen Appliances account AOV: median $119.92; middle 50% $47.72–$242.68. Snapshot read 2026-10-11T14:09:21.239057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-systems-appliances/kitchen-appliances#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-systems-appliances/kitchen-appliances#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Laundry Appliances",
      "slug": "laundry-appliances",
      "kind": "subcategory",
      "parent_slug": "home-systems-appliances",
      "url": "https://madgicx.com/labs/industries/home-systems-appliances/laundry-appliances",
      "benchmark_url": "https://madgicx.com/labs/industries/home-systems-appliances/laundry-appliances#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-systems-appliances/laundry-appliances.md",
      "json_url": "https://madgicx.com/labs/industries/home-systems-appliances/laundry-appliances.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "laundry-appliances",
        "parent_slug": "home-systems-appliances",
        "cohort_scope": "exact_child",
        "median_aov_usd": 47.16,
        "p25_aov_usd": 42.17,
        "p75_aov_usd": 91.13,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:21.239057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Laundry Appliances account AOV: median $47.16; middle 50% $42.17–$91.13. Snapshot read 2026-10-11T14:09:21.239057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-systems-appliances/laundry-appliances#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-systems-appliances/laundry-appliances#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Smart Home Systems",
      "slug": "smart-home-systems",
      "kind": "subcategory",
      "parent_slug": "home-systems-appliances",
      "url": "https://madgicx.com/labs/industries/home-systems-appliances/smart-home-systems",
      "benchmark_url": "https://madgicx.com/labs/industries/home-systems-appliances/smart-home-systems#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-systems-appliances/smart-home-systems.md",
      "json_url": "https://madgicx.com/labs/industries/home-systems-appliances/smart-home-systems.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "smart-home-systems",
        "parent_slug": "home-systems-appliances",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:21.239057+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Smart Home Systems: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:21.239057+00:00. https://madgicx.com/labs/industries/home-systems-appliances/smart-home-systems#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-systems-appliances/smart-home-systems#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Water Air Filtration",
      "slug": "water-air-filtration",
      "kind": "subcategory",
      "parent_slug": "home-systems-appliances",
      "url": "https://madgicx.com/labs/industries/home-systems-appliances/water-air-filtration",
      "benchmark_url": "https://madgicx.com/labs/industries/home-systems-appliances/water-air-filtration#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/home-systems-appliances/water-air-filtration.md",
      "json_url": "https://madgicx.com/labs/industries/home-systems-appliances/water-air-filtration.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "water-air-filtration",
        "parent_slug": "home-systems-appliances",
        "cohort_scope": "exact_child",
        "median_aov_usd": 167.09,
        "p25_aov_usd": 86.88,
        "p75_aov_usd": 204.33,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:21.239057+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Water Air Filtration account AOV: median $167.09; middle 50% $86.88–$204.33. Snapshot read 2026-10-11T14:09:21.239057+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/home-systems-appliances/water-air-filtration#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/home-systems-appliances/water-air-filtration#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Bed Breakfast Inns",
      "slug": "bed-breakfast-inns",
      "kind": "subcategory",
      "parent_slug": "hospitality-services",
      "url": "https://madgicx.com/labs/industries/hospitality-services/bed-breakfast-inns",
      "benchmark_url": "https://madgicx.com/labs/industries/hospitality-services/bed-breakfast-inns#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/hospitality-services/bed-breakfast-inns.md",
      "json_url": "https://madgicx.com/labs/industries/hospitality-services/bed-breakfast-inns.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "bed-breakfast-inns",
        "parent_slug": "hospitality-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 432.71,
        "p25_aov_usd": 136.14,
        "p75_aov_usd": 688.31,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:27.435723+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Bed Breakfast Inns account AOV: median $432.71; middle 50% $136.14–$688.31. Snapshot read 2026-10-11T14:09:27.435723+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/hospitality-services/bed-breakfast-inns#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/hospitality-services/bed-breakfast-inns#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Extended Stay Properties",
      "slug": "extended-stay-properties",
      "kind": "subcategory",
      "parent_slug": "hospitality-services",
      "url": "https://madgicx.com/labs/industries/hospitality-services/extended-stay-properties",
      "benchmark_url": "https://madgicx.com/labs/industries/hospitality-services/extended-stay-properties#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/hospitality-services/extended-stay-properties.md",
      "json_url": "https://madgicx.com/labs/industries/hospitality-services/extended-stay-properties.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "extended-stay-properties",
        "parent_slug": "hospitality-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:27.435723+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Extended Stay Properties: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:27.435723+00:00. https://madgicx.com/labs/industries/hospitality-services/extended-stay-properties#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/hospitality-services/extended-stay-properties#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hostel Budget Accommodations",
      "slug": "hostel-budget-accommodations",
      "kind": "subcategory",
      "parent_slug": "hospitality-services",
      "url": "https://madgicx.com/labs/industries/hospitality-services/hostel-budget-accommodations",
      "benchmark_url": "https://madgicx.com/labs/industries/hospitality-services/hostel-budget-accommodations#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/hospitality-services/hostel-budget-accommodations.md",
      "json_url": "https://madgicx.com/labs/industries/hospitality-services/hostel-budget-accommodations.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "hostel-budget-accommodations",
        "parent_slug": "hospitality-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:27.435723+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hostel Budget Accommodations: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:27.435723+00:00. https://madgicx.com/labs/industries/hospitality-services/hostel-budget-accommodations#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/hospitality-services/hostel-budget-accommodations#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hotel Resort Accommodations",
      "slug": "hotel-resort-accommodations",
      "kind": "subcategory",
      "parent_slug": "hospitality-services",
      "url": "https://madgicx.com/labs/industries/hospitality-services/hotel-resort-accommodations",
      "benchmark_url": "https://madgicx.com/labs/industries/hospitality-services/hotel-resort-accommodations#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/hospitality-services/hotel-resort-accommodations.md",
      "json_url": "https://madgicx.com/labs/industries/hospitality-services/hotel-resort-accommodations.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "hotel-resort-accommodations",
        "parent_slug": "hospitality-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 573.99,
        "p25_aov_usd": 240.78,
        "p75_aov_usd": 1174.49,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:27.435723+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hotel Resort Accommodations account AOV: median $573.99; middle 50% $240.78–$1,174.49. Snapshot read 2026-10-11T14:09:27.435723+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/hospitality-services/hotel-resort-accommodations#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/hospitality-services/hotel-resort-accommodations#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Luxury Boutique Properties",
      "slug": "luxury-boutique-properties",
      "kind": "subcategory",
      "parent_slug": "hospitality-services",
      "url": "https://madgicx.com/labs/industries/hospitality-services/luxury-boutique-properties",
      "benchmark_url": "https://madgicx.com/labs/industries/hospitality-services/luxury-boutique-properties#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/hospitality-services/luxury-boutique-properties.md",
      "json_url": "https://madgicx.com/labs/industries/hospitality-services/luxury-boutique-properties.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "luxury-boutique-properties",
        "parent_slug": "hospitality-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 573.77,
        "p25_aov_usd": 334.02,
        "p75_aov_usd": 1336.96,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:27.435723+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Luxury Boutique Properties account AOV: median $573.77; middle 50% $334.02–$1,336.96. Snapshot read 2026-10-11T14:09:27.435723+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/hospitality-services/luxury-boutique-properties#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/hospitality-services/luxury-boutique-properties#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vacation Rental Properties",
      "slug": "vacation-rental-properties",
      "kind": "subcategory",
      "parent_slug": "hospitality-services",
      "url": "https://madgicx.com/labs/industries/hospitality-services/vacation-rental-properties",
      "benchmark_url": "https://madgicx.com/labs/industries/hospitality-services/vacation-rental-properties#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/hospitality-services/vacation-rental-properties.md",
      "json_url": "https://madgicx.com/labs/industries/hospitality-services/vacation-rental-properties.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "vacation-rental-properties",
        "parent_slug": "hospitality-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 512.63,
        "p25_aov_usd": 249.58,
        "p75_aov_usd": 1028.76,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:27.435723+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vacation Rental Properties account AOV: median $512.63; middle 50% $249.58–$1,028.76. Snapshot read 2026-10-11T14:09:27.435723+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/hospitality-services/vacation-rental-properties#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/hospitality-services/vacation-rental-properties#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Catering Services",
      "slug": "catering-services",
      "kind": "subcategory",
      "parent_slug": "restaurant-food-services",
      "url": "https://madgicx.com/labs/industries/restaurant-food-services/catering-services",
      "benchmark_url": "https://madgicx.com/labs/industries/restaurant-food-services/catering-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/restaurant-food-services/catering-services.md",
      "json_url": "https://madgicx.com/labs/industries/restaurant-food-services/catering-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "catering-services",
        "parent_slug": "restaurant-food-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 47.85,
        "p25_aov_usd": 25.86,
        "p75_aov_usd": 90.51,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:34.595470+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Catering Services account AOV: median $47.85; middle 50% $25.86–$90.51. Snapshot read 2026-10-11T14:11:34.595470+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/restaurant-food-services/catering-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/restaurant-food-services/catering-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fast Food Quick Service",
      "slug": "fast-food-quick-service",
      "kind": "subcategory",
      "parent_slug": "restaurant-food-services",
      "url": "https://madgicx.com/labs/industries/restaurant-food-services/fast-food-quick-service",
      "benchmark_url": "https://madgicx.com/labs/industries/restaurant-food-services/fast-food-quick-service#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/restaurant-food-services/fast-food-quick-service.md",
      "json_url": "https://madgicx.com/labs/industries/restaurant-food-services/fast-food-quick-service.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "fast-food-quick-service",
        "parent_slug": "restaurant-food-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 25.75,
        "p25_aov_usd": 14.77,
        "p75_aov_usd": 37.06,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:34.595470+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fast Food Quick Service account AOV: median $25.75; middle 50% $14.77–$37.06. Snapshot read 2026-10-11T14:11:34.595470+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/restaurant-food-services/fast-food-quick-service#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/restaurant-food-services/fast-food-quick-service#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Food Hall Court Services",
      "slug": "food-hall-court-services",
      "kind": "subcategory",
      "parent_slug": "restaurant-food-services",
      "url": "https://madgicx.com/labs/industries/restaurant-food-services/food-hall-court-services",
      "benchmark_url": "https://madgicx.com/labs/industries/restaurant-food-services/food-hall-court-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/restaurant-food-services/food-hall-court-services.md",
      "json_url": "https://madgicx.com/labs/industries/restaurant-food-services/food-hall-court-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "food-hall-court-services",
        "parent_slug": "restaurant-food-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:34.595470+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Food Hall Court Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:34.595470+00:00. https://madgicx.com/labs/industries/restaurant-food-services/food-hall-court-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/restaurant-food-services/food-hall-court-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Food Truck Mobile Services",
      "slug": "food-truck-mobile-services",
      "kind": "subcategory",
      "parent_slug": "restaurant-food-services",
      "url": "https://madgicx.com/labs/industries/restaurant-food-services/food-truck-mobile-services",
      "benchmark_url": "https://madgicx.com/labs/industries/restaurant-food-services/food-truck-mobile-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/restaurant-food-services/food-truck-mobile-services.md",
      "json_url": "https://madgicx.com/labs/industries/restaurant-food-services/food-truck-mobile-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "food-truck-mobile-services",
        "parent_slug": "restaurant-food-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:34.595470+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Food Truck Mobile Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:34.595470+00:00. https://madgicx.com/labs/industries/restaurant-food-services/food-truck-mobile-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/restaurant-food-services/food-truck-mobile-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Meal Delivery Services",
      "slug": "meal-delivery-services",
      "kind": "subcategory",
      "parent_slug": "restaurant-food-services",
      "url": "https://madgicx.com/labs/industries/restaurant-food-services/meal-delivery-services",
      "benchmark_url": "https://madgicx.com/labs/industries/restaurant-food-services/meal-delivery-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/restaurant-food-services/meal-delivery-services.md",
      "json_url": "https://madgicx.com/labs/industries/restaurant-food-services/meal-delivery-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "meal-delivery-services",
        "parent_slug": "restaurant-food-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 44.24,
        "p25_aov_usd": 21.05,
        "p75_aov_usd": 96.2,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:34.595470+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Meal Delivery Services account AOV: median $44.24; middle 50% $21.05–$96.20. Snapshot read 2026-10-11T14:11:34.595470+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/restaurant-food-services/meal-delivery-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/restaurant-food-services/meal-delivery-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Restaurant Dining Services",
      "slug": "restaurant-dining-services",
      "kind": "subcategory",
      "parent_slug": "restaurant-food-services",
      "url": "https://madgicx.com/labs/industries/restaurant-food-services/restaurant-dining-services",
      "benchmark_url": "https://madgicx.com/labs/industries/restaurant-food-services/restaurant-dining-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/restaurant-food-services/restaurant-dining-services.md",
      "json_url": "https://madgicx.com/labs/industries/restaurant-food-services/restaurant-dining-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "restaurant-dining-services",
        "parent_slug": "restaurant-food-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 35.37,
        "p25_aov_usd": 14.29,
        "p75_aov_usd": 70.37,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:34.595470+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Restaurant Dining Services account AOV: median $35.37; middle 50% $14.29–$70.37. Snapshot read 2026-10-11T14:11:34.595470+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/restaurant-food-services/restaurant-dining-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/restaurant-food-services/restaurant-dining-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Airline Passenger Services",
      "slug": "airline-passenger-services",
      "kind": "subcategory",
      "parent_slug": "passenger-transportation-services",
      "url": "https://madgicx.com/labs/industries/passenger-transportation-services/airline-passenger-services",
      "benchmark_url": "https://madgicx.com/labs/industries/passenger-transportation-services/airline-passenger-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/passenger-transportation-services/airline-passenger-services.md",
      "json_url": "https://madgicx.com/labs/industries/passenger-transportation-services/airline-passenger-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "airline-passenger-services",
        "parent_slug": "passenger-transportation-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:36.491716+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Airline Passenger Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:36.491716+00:00. https://madgicx.com/labs/industries/passenger-transportation-services/airline-passenger-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/passenger-transportation-services/airline-passenger-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Bus Coach Services",
      "slug": "bus-coach-services",
      "kind": "subcategory",
      "parent_slug": "passenger-transportation-services",
      "url": "https://madgicx.com/labs/industries/passenger-transportation-services/bus-coach-services",
      "benchmark_url": "https://madgicx.com/labs/industries/passenger-transportation-services/bus-coach-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/passenger-transportation-services/bus-coach-services.md",
      "json_url": "https://madgicx.com/labs/industries/passenger-transportation-services/bus-coach-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "bus-coach-services",
        "parent_slug": "passenger-transportation-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:36.491716+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Bus Coach Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:36.491716+00:00. https://madgicx.com/labs/industries/passenger-transportation-services/bus-coach-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/passenger-transportation-services/bus-coach-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cruise Ship Services",
      "slug": "cruise-ship-services",
      "kind": "subcategory",
      "parent_slug": "passenger-transportation-services",
      "url": "https://madgicx.com/labs/industries/passenger-transportation-services/cruise-ship-services",
      "benchmark_url": "https://madgicx.com/labs/industries/passenger-transportation-services/cruise-ship-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/passenger-transportation-services/cruise-ship-services.md",
      "json_url": "https://madgicx.com/labs/industries/passenger-transportation-services/cruise-ship-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "cruise-ship-services",
        "parent_slug": "passenger-transportation-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:36.491716+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cruise Ship Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:36.491716+00:00. https://madgicx.com/labs/industries/passenger-transportation-services/cruise-ship-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/passenger-transportation-services/cruise-ship-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Ferry Maritime Services",
      "slug": "ferry-maritime-services",
      "kind": "subcategory",
      "parent_slug": "passenger-transportation-services",
      "url": "https://madgicx.com/labs/industries/passenger-transportation-services/ferry-maritime-services",
      "benchmark_url": "https://madgicx.com/labs/industries/passenger-transportation-services/ferry-maritime-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/passenger-transportation-services/ferry-maritime-services.md",
      "json_url": "https://madgicx.com/labs/industries/passenger-transportation-services/ferry-maritime-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "ferry-maritime-services",
        "parent_slug": "passenger-transportation-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:36.491716+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Ferry Maritime Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:36.491716+00:00. https://madgicx.com/labs/industries/passenger-transportation-services/ferry-maritime-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/passenger-transportation-services/ferry-maritime-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Rail Passenger Services",
      "slug": "rail-passenger-services",
      "kind": "subcategory",
      "parent_slug": "passenger-transportation-services",
      "url": "https://madgicx.com/labs/industries/passenger-transportation-services/rail-passenger-services",
      "benchmark_url": "https://madgicx.com/labs/industries/passenger-transportation-services/rail-passenger-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/passenger-transportation-services/rail-passenger-services.md",
      "json_url": "https://madgicx.com/labs/industries/passenger-transportation-services/rail-passenger-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "rail-passenger-services",
        "parent_slug": "passenger-transportation-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:36.491716+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Rail Passenger Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:36.491716+00:00. https://madgicx.com/labs/industries/passenger-transportation-services/rail-passenger-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/passenger-transportation-services/rail-passenger-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Regional Transport Services",
      "slug": "regional-transport-services",
      "kind": "subcategory",
      "parent_slug": "passenger-transportation-services",
      "url": "https://madgicx.com/labs/industries/passenger-transportation-services/regional-transport-services",
      "benchmark_url": "https://madgicx.com/labs/industries/passenger-transportation-services/regional-transport-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/passenger-transportation-services/regional-transport-services.md",
      "json_url": "https://madgicx.com/labs/industries/passenger-transportation-services/regional-transport-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "regional-transport-services",
        "parent_slug": "passenger-transportation-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:36.491716+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Regional Transport Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:36.491716+00:00. https://madgicx.com/labs/industries/passenger-transportation-services/regional-transport-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/passenger-transportation-services/regional-transport-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Career Focused Colleges",
      "slug": "career-focused-colleges",
      "kind": "subcategory",
      "parent_slug": "higher-education-institutions",
      "url": "https://madgicx.com/labs/industries/higher-education-institutions/career-focused-colleges",
      "benchmark_url": "https://madgicx.com/labs/industries/higher-education-institutions/career-focused-colleges#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/higher-education-institutions/career-focused-colleges.md",
      "json_url": "https://madgicx.com/labs/industries/higher-education-institutions/career-focused-colleges.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "career-focused-colleges",
        "parent_slug": "higher-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": 82.68,
        "p25_aov_usd": 15.09,
        "p75_aov_usd": 336.24,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:54.387108+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Career Focused Colleges account AOV: median $82.68; middle 50% $15.09–$336.24. Snapshot read 2026-10-11T14:08:54.387108+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/higher-education-institutions/career-focused-colleges#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/higher-education-institutions/career-focused-colleges#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Community Colleges",
      "slug": "community-colleges",
      "kind": "subcategory",
      "parent_slug": "higher-education-institutions",
      "url": "https://madgicx.com/labs/industries/higher-education-institutions/community-colleges",
      "benchmark_url": "https://madgicx.com/labs/industries/higher-education-institutions/community-colleges#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/higher-education-institutions/community-colleges.md",
      "json_url": "https://madgicx.com/labs/industries/higher-education-institutions/community-colleges.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "community-colleges",
        "parent_slug": "higher-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:54.387108+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Community Colleges: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:54.387108+00:00. https://madgicx.com/labs/industries/higher-education-institutions/community-colleges#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/higher-education-institutions/community-colleges#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Graduate Schools",
      "slug": "graduate-schools",
      "kind": "subcategory",
      "parent_slug": "higher-education-institutions",
      "url": "https://madgicx.com/labs/industries/higher-education-institutions/graduate-schools",
      "benchmark_url": "https://madgicx.com/labs/industries/higher-education-institutions/graduate-schools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/higher-education-institutions/graduate-schools.md",
      "json_url": "https://madgicx.com/labs/industries/higher-education-institutions/graduate-schools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "graduate-schools",
        "parent_slug": "higher-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:54.387108+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Graduate Schools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:54.387108+00:00. https://madgicx.com/labs/industries/higher-education-institutions/graduate-schools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/higher-education-institutions/graduate-schools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Liberal Arts Colleges",
      "slug": "liberal-arts-colleges",
      "kind": "subcategory",
      "parent_slug": "higher-education-institutions",
      "url": "https://madgicx.com/labs/industries/higher-education-institutions/liberal-arts-colleges",
      "benchmark_url": "https://madgicx.com/labs/industries/higher-education-institutions/liberal-arts-colleges#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/higher-education-institutions/liberal-arts-colleges.md",
      "json_url": "https://madgicx.com/labs/industries/higher-education-institutions/liberal-arts-colleges.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "liberal-arts-colleges",
        "parent_slug": "higher-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:54.387108+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Liberal Arts Colleges: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:54.387108+00:00. https://madgicx.com/labs/industries/higher-education-institutions/liberal-arts-colleges#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/higher-education-institutions/liberal-arts-colleges#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Online Universities",
      "slug": "online-universities",
      "kind": "subcategory",
      "parent_slug": "higher-education-institutions",
      "url": "https://madgicx.com/labs/industries/higher-education-institutions/online-universities",
      "benchmark_url": "https://madgicx.com/labs/industries/higher-education-institutions/online-universities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/higher-education-institutions/online-universities.md",
      "json_url": "https://madgicx.com/labs/industries/higher-education-institutions/online-universities.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "online-universities",
        "parent_slug": "higher-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:54.387108+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Online Universities: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:54.387108+00:00. https://madgicx.com/labs/industries/higher-education-institutions/online-universities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/higher-education-institutions/online-universities#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Traditional Universities",
      "slug": "traditional-universities",
      "kind": "subcategory",
      "parent_slug": "higher-education-institutions",
      "url": "https://madgicx.com/labs/industries/higher-education-institutions/traditional-universities",
      "benchmark_url": "https://madgicx.com/labs/industries/higher-education-institutions/traditional-universities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/higher-education-institutions/traditional-universities.md",
      "json_url": "https://madgicx.com/labs/industries/higher-education-institutions/traditional-universities.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "traditional-universities",
        "parent_slug": "higher-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:54.387108+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Traditional Universities: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:54.387108+00:00. https://madgicx.com/labs/industries/higher-education-institutions/traditional-universities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/higher-education-institutions/traditional-universities#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Charter Schools",
      "slug": "charter-schools",
      "kind": "subcategory",
      "parent_slug": "k-12-education-institutions",
      "url": "https://madgicx.com/labs/industries/k-12-education-institutions/charter-schools",
      "benchmark_url": "https://madgicx.com/labs/industries/k-12-education-institutions/charter-schools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/k-12-education-institutions/charter-schools.md",
      "json_url": "https://madgicx.com/labs/industries/k-12-education-institutions/charter-schools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "charter-schools",
        "parent_slug": "k-12-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:58.157498+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Charter Schools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:58.157498+00:00. https://madgicx.com/labs/industries/k-12-education-institutions/charter-schools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/k-12-education-institutions/charter-schools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Elementary Schools",
      "slug": "elementary-schools",
      "kind": "subcategory",
      "parent_slug": "k-12-education-institutions",
      "url": "https://madgicx.com/labs/industries/k-12-education-institutions/elementary-schools",
      "benchmark_url": "https://madgicx.com/labs/industries/k-12-education-institutions/elementary-schools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/k-12-education-institutions/elementary-schools.md",
      "json_url": "https://madgicx.com/labs/industries/k-12-education-institutions/elementary-schools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "elementary-schools",
        "parent_slug": "k-12-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:58.157498+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Elementary Schools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:58.157498+00:00. https://madgicx.com/labs/industries/k-12-education-institutions/elementary-schools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/k-12-education-institutions/elementary-schools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "High Schools",
      "slug": "high-schools",
      "kind": "subcategory",
      "parent_slug": "k-12-education-institutions",
      "url": "https://madgicx.com/labs/industries/k-12-education-institutions/high-schools",
      "benchmark_url": "https://madgicx.com/labs/industries/k-12-education-institutions/high-schools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/k-12-education-institutions/high-schools.md",
      "json_url": "https://madgicx.com/labs/industries/k-12-education-institutions/high-schools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "high-schools",
        "parent_slug": "k-12-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:58.157498+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. High Schools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:58.157498+00:00. https://madgicx.com/labs/industries/k-12-education-institutions/high-schools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/k-12-education-institutions/high-schools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Middle Schools",
      "slug": "middle-schools",
      "kind": "subcategory",
      "parent_slug": "k-12-education-institutions",
      "url": "https://madgicx.com/labs/industries/k-12-education-institutions/middle-schools",
      "benchmark_url": "https://madgicx.com/labs/industries/k-12-education-institutions/middle-schools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/k-12-education-institutions/middle-schools.md",
      "json_url": "https://madgicx.com/labs/industries/k-12-education-institutions/middle-schools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "middle-schools",
        "parent_slug": "k-12-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:58.157498+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Middle Schools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:58.157498+00:00. https://madgicx.com/labs/industries/k-12-education-institutions/middle-schools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/k-12-education-institutions/middle-schools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Online K-12 Schools",
      "slug": "online-k-12-schools",
      "kind": "subcategory",
      "parent_slug": "k-12-education-institutions",
      "url": "https://madgicx.com/labs/industries/k-12-education-institutions/online-k-12-schools",
      "benchmark_url": "https://madgicx.com/labs/industries/k-12-education-institutions/online-k-12-schools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/k-12-education-institutions/online-k-12-schools.md",
      "json_url": "https://madgicx.com/labs/industries/k-12-education-institutions/online-k-12-schools.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "online-k-12-schools",
        "parent_slug": "k-12-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": 175.75,
        "p25_aov_usd": 83.35,
        "p75_aov_usd": 368.48,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:58.157498+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Online K-12 Schools account AOV: median $175.75; middle 50% $83.35–$368.48. Snapshot read 2026-10-11T14:09:58.157498+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/k-12-education-institutions/online-k-12-schools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/k-12-education-institutions/online-k-12-schools#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Private Independent Schools",
      "slug": "private-independent-schools",
      "kind": "subcategory",
      "parent_slug": "k-12-education-institutions",
      "url": "https://madgicx.com/labs/industries/k-12-education-institutions/private-independent-schools",
      "benchmark_url": "https://madgicx.com/labs/industries/k-12-education-institutions/private-independent-schools#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/k-12-education-institutions/private-independent-schools.md",
      "json_url": "https://madgicx.com/labs/industries/k-12-education-institutions/private-independent-schools.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "private-independent-schools",
        "parent_slug": "k-12-education-institutions",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:58.157498+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Private Independent Schools: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:58.157498+00:00. https://madgicx.com/labs/industries/k-12-education-institutions/private-independent-schools#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/k-12-education-institutions/private-independent-schools#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Career Social Networks",
      "slug": "career-social-networks",
      "kind": "subcategory",
      "parent_slug": "job-portals-employment-platforms",
      "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/career-social-networks",
      "benchmark_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/career-social-networks#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/career-social-networks.md",
      "json_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/career-social-networks.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "career-social-networks",
        "parent_slug": "job-portals-employment-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:52.863370+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Career Social Networks: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:52.863370+00:00. https://madgicx.com/labs/industries/job-portals-employment-platforms/career-social-networks#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/career-social-networks#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Entry Level Student Platforms",
      "slug": "entry-level-student-platforms",
      "kind": "subcategory",
      "parent_slug": "job-portals-employment-platforms",
      "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/entry-level-student-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/entry-level-student-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/entry-level-student-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/entry-level-student-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "entry-level-student-platforms",
        "parent_slug": "job-portals-employment-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:52.863370+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Entry Level Student Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:52.863370+00:00. https://madgicx.com/labs/industries/job-portals-employment-platforms/entry-level-student-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/entry-level-student-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Freelance Gig Platforms",
      "slug": "freelance-gig-platforms",
      "kind": "subcategory",
      "parent_slug": "job-portals-employment-platforms",
      "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/freelance-gig-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/freelance-gig-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/freelance-gig-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/freelance-gig-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "freelance-gig-platforms",
        "parent_slug": "job-portals-employment-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:52.863370+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Freelance Gig Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:52.863370+00:00. https://madgicx.com/labs/industries/job-portals-employment-platforms/freelance-gig-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/freelance-gig-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "General Job Boards",
      "slug": "general-job-boards",
      "kind": "subcategory",
      "parent_slug": "job-portals-employment-platforms",
      "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/general-job-boards",
      "benchmark_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/general-job-boards#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/general-job-boards.md",
      "json_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/general-job-boards.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "general-job-boards",
        "parent_slug": "job-portals-employment-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:52.863370+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. General Job Boards: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:52.863370+00:00. https://madgicx.com/labs/industries/job-portals-employment-platforms/general-job-boards#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/general-job-boards#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Remote Work Platforms",
      "slug": "remote-work-platforms",
      "kind": "subcategory",
      "parent_slug": "job-portals-employment-platforms",
      "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/remote-work-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/remote-work-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/remote-work-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/remote-work-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "remote-work-platforms",
        "parent_slug": "job-portals-employment-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:52.863370+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Remote Work Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:52.863370+00:00. https://madgicx.com/labs/industries/job-portals-employment-platforms/remote-work-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/remote-work-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialized Job Platforms",
      "slug": "specialized-job-platforms",
      "kind": "subcategory",
      "parent_slug": "job-portals-employment-platforms",
      "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/specialized-job-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/specialized-job-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/specialized-job-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/specialized-job-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "specialized-job-platforms",
        "parent_slug": "job-portals-employment-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:52.863370+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialized Job Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:52.863370+00:00. https://madgicx.com/labs/industries/job-portals-employment-platforms/specialized-job-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/job-portals-employment-platforms/specialized-job-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Auto Insurance Services",
      "slug": "auto-insurance-services",
      "kind": "subcategory",
      "parent_slug": "insurance-services",
      "url": "https://madgicx.com/labs/industries/insurance-services/auto-insurance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/insurance-services/auto-insurance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/insurance-services/auto-insurance-services.md",
      "json_url": "https://madgicx.com/labs/industries/insurance-services/auto-insurance-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "auto-insurance-services",
        "parent_slug": "insurance-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 28.22,
        "p25_aov_usd": 13.69,
        "p75_aov_usd": 126.88,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:37.376120+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Auto Insurance Services account AOV: median $28.22; middle 50% $13.69–$126.88. Snapshot read 2026-10-11T14:09:37.376120+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/insurance-services/auto-insurance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/insurance-services/auto-insurance-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business Insurance Services",
      "slug": "business-insurance-services",
      "kind": "subcategory",
      "parent_slug": "insurance-services",
      "url": "https://madgicx.com/labs/industries/insurance-services/business-insurance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/insurance-services/business-insurance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/insurance-services/business-insurance-services.md",
      "json_url": "https://madgicx.com/labs/industries/insurance-services/business-insurance-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "business-insurance-services",
        "parent_slug": "insurance-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 111.58,
        "p25_aov_usd": 54.61,
        "p75_aov_usd": 187.49,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:37.376120+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business Insurance Services account AOV: median $111.58; middle 50% $54.61–$187.49. Snapshot read 2026-10-11T14:09:37.376120+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/insurance-services/business-insurance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/insurance-services/business-insurance-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Health Insurance Services",
      "slug": "health-insurance-services",
      "kind": "subcategory",
      "parent_slug": "insurance-services",
      "url": "https://madgicx.com/labs/industries/insurance-services/health-insurance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/insurance-services/health-insurance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/insurance-services/health-insurance-services.md",
      "json_url": "https://madgicx.com/labs/industries/insurance-services/health-insurance-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "health-insurance-services",
        "parent_slug": "insurance-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:37.376120+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Health Insurance Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:37.376120+00:00. https://madgicx.com/labs/industries/insurance-services/health-insurance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/insurance-services/health-insurance-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Insurance Services",
      "slug": "home-insurance-services",
      "kind": "subcategory",
      "parent_slug": "insurance-services",
      "url": "https://madgicx.com/labs/industries/insurance-services/home-insurance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/insurance-services/home-insurance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/insurance-services/home-insurance-services.md",
      "json_url": "https://madgicx.com/labs/industries/insurance-services/home-insurance-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "home-insurance-services",
        "parent_slug": "insurance-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:37.376120+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Insurance Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:37.376120+00:00. https://madgicx.com/labs/industries/insurance-services/home-insurance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/insurance-services/home-insurance-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Life Insurance Services",
      "slug": "life-insurance-services",
      "kind": "subcategory",
      "parent_slug": "insurance-services",
      "url": "https://madgicx.com/labs/industries/insurance-services/life-insurance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/insurance-services/life-insurance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/insurance-services/life-insurance-services.md",
      "json_url": "https://madgicx.com/labs/industries/insurance-services/life-insurance-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "life-insurance-services",
        "parent_slug": "insurance-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:37.376120+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Life Insurance Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:37.376120+00:00. https://madgicx.com/labs/industries/insurance-services/life-insurance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/insurance-services/life-insurance-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialty Insurance Services",
      "slug": "specialty-insurance-services",
      "kind": "subcategory",
      "parent_slug": "insurance-services",
      "url": "https://madgicx.com/labs/industries/insurance-services/specialty-insurance-services",
      "benchmark_url": "https://madgicx.com/labs/industries/insurance-services/specialty-insurance-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/insurance-services/specialty-insurance-services.md",
      "json_url": "https://madgicx.com/labs/industries/insurance-services/specialty-insurance-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "specialty-insurance-services",
        "parent_slug": "insurance-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 110.06,
        "p25_aov_usd": 77.73,
        "p75_aov_usd": 179.87,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:37.376120+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialty Insurance Services account AOV: median $110.06; middle 50% $77.73–$179.87. Snapshot read 2026-10-11T14:09:37.376120+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/insurance-services/specialty-insurance-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/insurance-services/specialty-insurance-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Commercial Sales & Leasing",
      "slug": "commercial-sales-leasing",
      "kind": "subcategory",
      "parent_slug": "real-estate-services",
      "url": "https://madgicx.com/labs/industries/real-estate-services/commercial-sales-leasing",
      "benchmark_url": "https://madgicx.com/labs/industries/real-estate-services/commercial-sales-leasing#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/real-estate-services/commercial-sales-leasing.md",
      "json_url": "https://madgicx.com/labs/industries/real-estate-services/commercial-sales-leasing.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "commercial-sales-leasing",
        "parent_slug": "real-estate-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:11.121946+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Commercial Sales & Leasing: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:11.121946+00:00. https://madgicx.com/labs/industries/real-estate-services/commercial-sales-leasing#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/real-estate-services/commercial-sales-leasing#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Property Management Services",
      "slug": "property-management-services",
      "kind": "subcategory",
      "parent_slug": "real-estate-services",
      "url": "https://madgicx.com/labs/industries/real-estate-services/property-management-services",
      "benchmark_url": "https://madgicx.com/labs/industries/real-estate-services/property-management-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/real-estate-services/property-management-services.md",
      "json_url": "https://madgicx.com/labs/industries/real-estate-services/property-management-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "property-management-services",
        "parent_slug": "real-estate-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:11.121946+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Property Management Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:11.121946+00:00. https://madgicx.com/labs/industries/real-estate-services/property-management-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/real-estate-services/property-management-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Real Estate Investment Services",
      "slug": "real-estate-investment-services",
      "kind": "subcategory",
      "parent_slug": "real-estate-services",
      "url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-investment-services",
      "benchmark_url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-investment-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-investment-services.md",
      "json_url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-investment-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "real-estate-investment-services",
        "parent_slug": "real-estate-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 217.54,
        "p25_aov_usd": 35.62,
        "p75_aov_usd": 2223.63,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:11.121946+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Real Estate Investment Services account AOV: median $217.54; middle 50% $35.62–$2,223.63. Snapshot read 2026-10-11T14:11:11.121946+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/real-estate-services/real-estate-investment-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-investment-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Real Estate Platforms & Portals",
      "slug": "real-estate-platforms-portals",
      "kind": "subcategory",
      "parent_slug": "real-estate-services",
      "url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-platforms-portals",
      "benchmark_url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-platforms-portals#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-platforms-portals.md",
      "json_url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-platforms-portals.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "real-estate-platforms-portals",
        "parent_slug": "real-estate-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 64.38,
        "p25_aov_usd": 44.33,
        "p75_aov_usd": 111.53,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:11.121946+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Real Estate Platforms & Portals account AOV: median $64.38; middle 50% $44.33–$111.53. Snapshot read 2026-10-11T14:11:11.121946+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/real-estate-services/real-estate-platforms-portals#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/real-estate-services/real-estate-platforms-portals#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Residential Rental & Leasing",
      "slug": "residential-rental-leasing",
      "kind": "subcategory",
      "parent_slug": "real-estate-services",
      "url": "https://madgicx.com/labs/industries/real-estate-services/residential-rental-leasing",
      "benchmark_url": "https://madgicx.com/labs/industries/real-estate-services/residential-rental-leasing#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/real-estate-services/residential-rental-leasing.md",
      "json_url": "https://madgicx.com/labs/industries/real-estate-services/residential-rental-leasing.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "residential-rental-leasing",
        "parent_slug": "real-estate-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:11.121946+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Residential Rental & Leasing: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:11.121946+00:00. https://madgicx.com/labs/industries/real-estate-services/residential-rental-leasing#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/real-estate-services/residential-rental-leasing#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Residential Sales Agencies",
      "slug": "residential-sales-agencies",
      "kind": "subcategory",
      "parent_slug": "real-estate-services",
      "url": "https://madgicx.com/labs/industries/real-estate-services/residential-sales-agencies",
      "benchmark_url": "https://madgicx.com/labs/industries/real-estate-services/residential-sales-agencies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/real-estate-services/residential-sales-agencies.md",
      "json_url": "https://madgicx.com/labs/industries/real-estate-services/residential-sales-agencies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "residential-sales-agencies",
        "parent_slug": "real-estate-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 32.43,
        "p25_aov_usd": 2.75,
        "p75_aov_usd": 73.01,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:11.121946+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Residential Sales Agencies account AOV: median $32.43; middle 50% $2.75–$73.01. Snapshot read 2026-10-11T14:11:11.121946+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/real-estate-services/residential-sales-agencies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/real-estate-services/residential-sales-agencies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Executive Search Services",
      "slug": "executive-search-services",
      "kind": "subcategory",
      "parent_slug": "recruitment-hr-services",
      "url": "https://madgicx.com/labs/industries/recruitment-hr-services/executive-search-services",
      "benchmark_url": "https://madgicx.com/labs/industries/recruitment-hr-services/executive-search-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/recruitment-hr-services/executive-search-services.md",
      "json_url": "https://madgicx.com/labs/industries/recruitment-hr-services/executive-search-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "executive-search-services",
        "parent_slug": "recruitment-hr-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:15.987274+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Executive Search Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:15.987274+00:00. https://madgicx.com/labs/industries/recruitment-hr-services/executive-search-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/recruitment-hr-services/executive-search-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "HR Consulting Services",
      "slug": "hr-consulting-services",
      "kind": "subcategory",
      "parent_slug": "recruitment-hr-services",
      "url": "https://madgicx.com/labs/industries/recruitment-hr-services/hr-consulting-services",
      "benchmark_url": "https://madgicx.com/labs/industries/recruitment-hr-services/hr-consulting-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/recruitment-hr-services/hr-consulting-services.md",
      "json_url": "https://madgicx.com/labs/industries/recruitment-hr-services/hr-consulting-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "hr-consulting-services",
        "parent_slug": "recruitment-hr-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 1.0,
        "p25_aov_usd": 1.0,
        "p75_aov_usd": 26.66,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:15.987274+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. HR Consulting Services account AOV: median $1.00; middle 50% $1.00–$26.66. Snapshot read 2026-10-11T14:11:15.987274+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/recruitment-hr-services/hr-consulting-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/recruitment-hr-services/hr-consulting-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Industry Specialized Recruitment",
      "slug": "industry-specialized-recruitment",
      "kind": "subcategory",
      "parent_slug": "recruitment-hr-services",
      "url": "https://madgicx.com/labs/industries/recruitment-hr-services/industry-specialized-recruitment",
      "benchmark_url": "https://madgicx.com/labs/industries/recruitment-hr-services/industry-specialized-recruitment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/recruitment-hr-services/industry-specialized-recruitment.md",
      "json_url": "https://madgicx.com/labs/industries/recruitment-hr-services/industry-specialized-recruitment.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "industry-specialized-recruitment",
        "parent_slug": "recruitment-hr-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:15.987274+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Industry Specialized Recruitment: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:15.987274+00:00. https://madgicx.com/labs/industries/recruitment-hr-services/industry-specialized-recruitment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/recruitment-hr-services/industry-specialized-recruitment#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Permanent Recruitment Firms",
      "slug": "permanent-recruitment-firms",
      "kind": "subcategory",
      "parent_slug": "recruitment-hr-services",
      "url": "https://madgicx.com/labs/industries/recruitment-hr-services/permanent-recruitment-firms",
      "benchmark_url": "https://madgicx.com/labs/industries/recruitment-hr-services/permanent-recruitment-firms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/recruitment-hr-services/permanent-recruitment-firms.md",
      "json_url": "https://madgicx.com/labs/industries/recruitment-hr-services/permanent-recruitment-firms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "permanent-recruitment-firms",
        "parent_slug": "recruitment-hr-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:15.987274+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Permanent Recruitment Firms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:15.987274+00:00. https://madgicx.com/labs/industries/recruitment-hr-services/permanent-recruitment-firms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/recruitment-hr-services/permanent-recruitment-firms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Staffing Agencies Services",
      "slug": "staffing-agencies-services",
      "kind": "subcategory",
      "parent_slug": "recruitment-hr-services",
      "url": "https://madgicx.com/labs/industries/recruitment-hr-services/staffing-agencies-services",
      "benchmark_url": "https://madgicx.com/labs/industries/recruitment-hr-services/staffing-agencies-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/recruitment-hr-services/staffing-agencies-services.md",
      "json_url": "https://madgicx.com/labs/industries/recruitment-hr-services/staffing-agencies-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "staffing-agencies-services",
        "parent_slug": "recruitment-hr-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:15.987274+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Staffing Agencies Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:15.987274+00:00. https://madgicx.com/labs/industries/recruitment-hr-services/staffing-agencies-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/recruitment-hr-services/staffing-agencies-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Talent Acquisition Solutions",
      "slug": "talent-acquisition-solutions",
      "kind": "subcategory",
      "parent_slug": "recruitment-hr-services",
      "url": "https://madgicx.com/labs/industries/recruitment-hr-services/talent-acquisition-solutions",
      "benchmark_url": "https://madgicx.com/labs/industries/recruitment-hr-services/talent-acquisition-solutions#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/recruitment-hr-services/talent-acquisition-solutions.md",
      "json_url": "https://madgicx.com/labs/industries/recruitment-hr-services/talent-acquisition-solutions.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "talent-acquisition-solutions",
        "parent_slug": "recruitment-hr-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:15.987274+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Talent Acquisition Solutions: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:15.987274+00:00. https://madgicx.com/labs/industries/recruitment-hr-services/talent-acquisition-solutions#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/recruitment-hr-services/talent-acquisition-solutions#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Audio Entertainment",
      "slug": "audio-entertainment",
      "kind": "subcategory",
      "parent_slug": "media-entertainment",
      "url": "https://madgicx.com/labs/industries/media-entertainment/audio-entertainment",
      "benchmark_url": "https://madgicx.com/labs/industries/media-entertainment/audio-entertainment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/media-entertainment/audio-entertainment.md",
      "json_url": "https://madgicx.com/labs/industries/media-entertainment/audio-entertainment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "audio-entertainment",
        "parent_slug": "media-entertainment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 41.69,
        "p25_aov_usd": 27.46,
        "p75_aov_usd": 62.43,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:09.976538+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Audio Entertainment account AOV: median $41.69; middle 50% $27.46–$62.43. Snapshot read 2026-10-11T14:10:09.976538+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/media-entertainment/audio-entertainment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/media-entertainment/audio-entertainment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Entertainment Companies",
      "slug": "entertainment-companies",
      "kind": "subcategory",
      "parent_slug": "media-entertainment",
      "url": "https://madgicx.com/labs/industries/media-entertainment/entertainment-companies",
      "benchmark_url": "https://madgicx.com/labs/industries/media-entertainment/entertainment-companies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/media-entertainment/entertainment-companies.md",
      "json_url": "https://madgicx.com/labs/industries/media-entertainment/entertainment-companies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "entertainment-companies",
        "parent_slug": "media-entertainment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 60.25,
        "p25_aov_usd": 41.34,
        "p75_aov_usd": 76.21,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:09.976538+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Entertainment Companies account AOV: median $60.25; middle 50% $41.34–$76.21. Snapshot read 2026-10-11T14:10:09.976538+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/media-entertainment/entertainment-companies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/media-entertainment/entertainment-companies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Film TV Production",
      "slug": "film-tv-production",
      "kind": "subcategory",
      "parent_slug": "media-entertainment",
      "url": "https://madgicx.com/labs/industries/media-entertainment/film-tv-production",
      "benchmark_url": "https://madgicx.com/labs/industries/media-entertainment/film-tv-production#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/media-entertainment/film-tv-production.md",
      "json_url": "https://madgicx.com/labs/industries/media-entertainment/film-tv-production.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "film-tv-production",
        "parent_slug": "media-entertainment",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:09.976538+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Film TV Production: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:09.976538+00:00. https://madgicx.com/labs/industries/media-entertainment/film-tv-production#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/media-entertainment/film-tv-production#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Music Streaming Platforms",
      "slug": "music-streaming-platforms",
      "kind": "subcategory",
      "parent_slug": "media-entertainment",
      "url": "https://madgicx.com/labs/industries/media-entertainment/music-streaming-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/media-entertainment/music-streaming-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/media-entertainment/music-streaming-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/media-entertainment/music-streaming-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "music-streaming-platforms",
        "parent_slug": "media-entertainment",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:09.976538+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Music Streaming Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:09.976538+00:00. https://madgicx.com/labs/industries/media-entertainment/music-streaming-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/media-entertainment/music-streaming-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Publishing Houses",
      "slug": "publishing-houses",
      "kind": "subcategory",
      "parent_slug": "media-entertainment",
      "url": "https://madgicx.com/labs/industries/media-entertainment/publishing-houses",
      "benchmark_url": "https://madgicx.com/labs/industries/media-entertainment/publishing-houses#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/media-entertainment/publishing-houses.md",
      "json_url": "https://madgicx.com/labs/industries/media-entertainment/publishing-houses.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "publishing-houses",
        "parent_slug": "media-entertainment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 24.41,
        "p25_aov_usd": 12.2,
        "p75_aov_usd": 42.0,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:09.976538+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Publishing Houses account AOV: median $24.41; middle 50% $12.20–$42.00. Snapshot read 2026-10-11T14:10:09.976538+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/media-entertainment/publishing-houses#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/media-entertainment/publishing-houses#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Streaming Video Services",
      "slug": "streaming-video-services",
      "kind": "subcategory",
      "parent_slug": "media-entertainment",
      "url": "https://madgicx.com/labs/industries/media-entertainment/streaming-video-services",
      "benchmark_url": "https://madgicx.com/labs/industries/media-entertainment/streaming-video-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/media-entertainment/streaming-video-services.md",
      "json_url": "https://madgicx.com/labs/industries/media-entertainment/streaming-video-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "streaming-video-services",
        "parent_slug": "media-entertainment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 9.03,
        "p25_aov_usd": 3.46,
        "p75_aov_usd": 21.81,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:09.976538+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Streaming Video Services account AOV: median $9.03; middle 50% $3.46–$21.81. Snapshot read 2026-10-11T14:10:09.976538+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/media-entertainment/streaming-video-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/media-entertainment/streaming-video-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Broadcast News Networks",
      "slug": "broadcast-news-networks",
      "kind": "subcategory",
      "parent_slug": "news-information-media",
      "url": "https://madgicx.com/labs/industries/news-information-media/broadcast-news-networks",
      "benchmark_url": "https://madgicx.com/labs/industries/news-information-media/broadcast-news-networks#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/news-information-media/broadcast-news-networks.md",
      "json_url": "https://madgicx.com/labs/industries/news-information-media/broadcast-news-networks.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "broadcast-news-networks",
        "parent_slug": "news-information-media",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:23.508070+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Broadcast News Networks: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:23.508070+00:00. https://madgicx.com/labs/industries/news-information-media/broadcast-news-networks#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/news-information-media/broadcast-news-networks#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Digital News Platforms",
      "slug": "digital-news-platforms",
      "kind": "subcategory",
      "parent_slug": "news-information-media",
      "url": "https://madgicx.com/labs/industries/news-information-media/digital-news-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/news-information-media/digital-news-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/news-information-media/digital-news-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/news-information-media/digital-news-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "digital-news-platforms",
        "parent_slug": "news-information-media",
        "cohort_scope": "exact_child",
        "median_aov_usd": 7.72,
        "p25_aov_usd": 0.63,
        "p75_aov_usd": 34.64,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:23.508070+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Digital News Platforms account AOV: median $7.72; middle 50% $0.63–$34.64. Snapshot read 2026-10-11T14:10:23.508070+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/news-information-media/digital-news-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/news-information-media/digital-news-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Local Regional News",
      "slug": "local-regional-news",
      "kind": "subcategory",
      "parent_slug": "news-information-media",
      "url": "https://madgicx.com/labs/industries/news-information-media/local-regional-news",
      "benchmark_url": "https://madgicx.com/labs/industries/news-information-media/local-regional-news#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/news-information-media/local-regional-news.md",
      "json_url": "https://madgicx.com/labs/industries/news-information-media/local-regional-news.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "local-regional-news",
        "parent_slug": "news-information-media",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:23.508070+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Local Regional News: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:23.508070+00:00. https://madgicx.com/labs/industries/news-information-media/local-regional-news#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/news-information-media/local-regional-news#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "News Aggregator Services",
      "slug": "news-aggregator-services",
      "kind": "subcategory",
      "parent_slug": "news-information-media",
      "url": "https://madgicx.com/labs/industries/news-information-media/news-aggregator-services",
      "benchmark_url": "https://madgicx.com/labs/industries/news-information-media/news-aggregator-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/news-information-media/news-aggregator-services.md",
      "json_url": "https://madgicx.com/labs/industries/news-information-media/news-aggregator-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "news-aggregator-services",
        "parent_slug": "news-information-media",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:23.508070+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. News Aggregator Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:23.508070+00:00. https://madgicx.com/labs/industries/news-information-media/news-aggregator-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/news-information-media/news-aggregator-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Print Newspapers Publications",
      "slug": "print-newspapers-publications",
      "kind": "subcategory",
      "parent_slug": "news-information-media",
      "url": "https://madgicx.com/labs/industries/news-information-media/print-newspapers-publications",
      "benchmark_url": "https://madgicx.com/labs/industries/news-information-media/print-newspapers-publications#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/news-information-media/print-newspapers-publications.md",
      "json_url": "https://madgicx.com/labs/industries/news-information-media/print-newspapers-publications.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "print-newspapers-publications",
        "parent_slug": "news-information-media",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:23.508070+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Print Newspapers Publications: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:23.508070+00:00. https://madgicx.com/labs/industries/news-information-media/print-newspapers-publications#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/news-information-media/print-newspapers-publications#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialized News Outlets",
      "slug": "specialized-news-outlets",
      "kind": "subcategory",
      "parent_slug": "news-information-media",
      "url": "https://madgicx.com/labs/industries/news-information-media/specialized-news-outlets",
      "benchmark_url": "https://madgicx.com/labs/industries/news-information-media/specialized-news-outlets#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/news-information-media/specialized-news-outlets.md",
      "json_url": "https://madgicx.com/labs/industries/news-information-media/specialized-news-outlets.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "specialized-news-outlets",
        "parent_slug": "news-information-media",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:23.508070+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialized News Outlets: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:23.508070+00:00. https://madgicx.com/labs/industries/news-information-media/specialized-news-outlets#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/news-information-media/specialized-news-outlets#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Book Publishing Production",
      "slug": "book-publishing-production",
      "kind": "subcategory",
      "parent_slug": "printing-publishing-services",
      "url": "https://madgicx.com/labs/industries/printing-publishing-services/book-publishing-production",
      "benchmark_url": "https://madgicx.com/labs/industries/printing-publishing-services/book-publishing-production#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/printing-publishing-services/book-publishing-production.md",
      "json_url": "https://madgicx.com/labs/industries/printing-publishing-services/book-publishing-production.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "book-publishing-production",
        "parent_slug": "printing-publishing-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 28.46,
        "p25_aov_usd": 23.77,
        "p75_aov_usd": 44.13,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:03.342753+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Book Publishing Production account AOV: median $28.46; middle 50% $23.77–$44.13. Snapshot read 2026-10-11T14:11:03.342753+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/printing-publishing-services/book-publishing-production#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/printing-publishing-services/book-publishing-production#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Commercial Printing Services",
      "slug": "commercial-printing-services",
      "kind": "subcategory",
      "parent_slug": "printing-publishing-services",
      "url": "https://madgicx.com/labs/industries/printing-publishing-services/commercial-printing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/printing-publishing-services/commercial-printing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/printing-publishing-services/commercial-printing-services.md",
      "json_url": "https://madgicx.com/labs/industries/printing-publishing-services/commercial-printing-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "commercial-printing-services",
        "parent_slug": "printing-publishing-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 75.91,
        "p25_aov_usd": 46.48,
        "p75_aov_usd": 146.28,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:03.342753+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Commercial Printing Services account AOV: median $75.91; middle 50% $46.48–$146.28. Snapshot read 2026-10-11T14:11:03.342753+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/printing-publishing-services/commercial-printing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/printing-publishing-services/commercial-printing-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Document Printing Services",
      "slug": "document-printing-services",
      "kind": "subcategory",
      "parent_slug": "printing-publishing-services",
      "url": "https://madgicx.com/labs/industries/printing-publishing-services/document-printing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/printing-publishing-services/document-printing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/printing-publishing-services/document-printing-services.md",
      "json_url": "https://madgicx.com/labs/industries/printing-publishing-services/document-printing-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "document-printing-services",
        "parent_slug": "printing-publishing-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:03.342753+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Document Printing Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:03.342753+00:00. https://madgicx.com/labs/industries/printing-publishing-services/document-printing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/printing-publishing-services/document-printing-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Packaging Label Printing",
      "slug": "packaging-label-printing",
      "kind": "subcategory",
      "parent_slug": "printing-publishing-services",
      "url": "https://madgicx.com/labs/industries/printing-publishing-services/packaging-label-printing",
      "benchmark_url": "https://madgicx.com/labs/industries/printing-publishing-services/packaging-label-printing#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/printing-publishing-services/packaging-label-printing.md",
      "json_url": "https://madgicx.com/labs/industries/printing-publishing-services/packaging-label-printing.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "packaging-label-printing",
        "parent_slug": "printing-publishing-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 36.69,
        "p25_aov_usd": 21.6,
        "p75_aov_usd": 105.69,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:03.342753+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Packaging Label Printing account AOV: median $36.69; middle 50% $21.60–$105.69. Snapshot read 2026-10-11T14:11:03.342753+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/printing-publishing-services/packaging-label-printing#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/printing-publishing-services/packaging-label-printing#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Self Publishing Services",
      "slug": "self-publishing-services",
      "kind": "subcategory",
      "parent_slug": "printing-publishing-services",
      "url": "https://madgicx.com/labs/industries/printing-publishing-services/self-publishing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/printing-publishing-services/self-publishing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/printing-publishing-services/self-publishing-services.md",
      "json_url": "https://madgicx.com/labs/industries/printing-publishing-services/self-publishing-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "self-publishing-services",
        "parent_slug": "printing-publishing-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:03.342753+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Self Publishing Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:03.342753+00:00. https://madgicx.com/labs/industries/printing-publishing-services/self-publishing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/printing-publishing-services/self-publishing-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialty Printing Services",
      "slug": "specialty-printing-services",
      "kind": "subcategory",
      "parent_slug": "printing-publishing-services",
      "url": "https://madgicx.com/labs/industries/printing-publishing-services/specialty-printing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/printing-publishing-services/specialty-printing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/printing-publishing-services/specialty-printing-services.md",
      "json_url": "https://madgicx.com/labs/industries/printing-publishing-services/specialty-printing-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "specialty-printing-services",
        "parent_slug": "printing-publishing-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 57.78,
        "p25_aov_usd": 31.11,
        "p75_aov_usd": 107.95,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:03.342753+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialty Printing Services account AOV: median $57.78; middle 50% $31.11–$107.95. Snapshot read 2026-10-11T14:11:03.342753+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/printing-publishing-services/specialty-printing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/printing-publishing-services/specialty-printing-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Industrial Automation Systems",
      "slug": "industrial-automation-systems",
      "kind": "subcategory",
      "parent_slug": "industrial-safety-equipment",
      "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-automation-systems",
      "benchmark_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-automation-systems#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-automation-systems.md",
      "json_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-automation-systems.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "industrial-automation-systems",
        "parent_slug": "industrial-safety-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:31.908762+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Industrial Automation Systems: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:31.908762+00:00. https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-automation-systems#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-automation-systems#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Industrial Machinery Equipment",
      "slug": "industrial-machinery-equipment",
      "kind": "subcategory",
      "parent_slug": "industrial-safety-equipment",
      "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-machinery-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-machinery-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-machinery-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-machinery-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "industrial-machinery-equipment",
        "parent_slug": "industrial-safety-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 407.69,
        "p25_aov_usd": 54.45,
        "p75_aov_usd": 726.54,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:31.908762+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Industrial Machinery Equipment account AOV: median $407.69; middle 50% $54.45–$726.54. Snapshot read 2026-10-11T14:09:31.908762+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-machinery-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-machinery-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Industrial Tools Supplies",
      "slug": "industrial-tools-supplies",
      "kind": "subcategory",
      "parent_slug": "industrial-safety-equipment",
      "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-tools-supplies",
      "benchmark_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-tools-supplies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-tools-supplies.md",
      "json_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-tools-supplies.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "industrial-tools-supplies",
        "parent_slug": "industrial-safety-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 145.84,
        "p25_aov_usd": 75.62,
        "p75_aov_usd": 235.76,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:31.908762+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Industrial Tools Supplies account AOV: median $145.84; middle 50% $75.62–$235.76. Snapshot read 2026-10-11T14:09:31.908762+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-tools-supplies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/industrial-tools-supplies#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Material Handling Equipment",
      "slug": "material-handling-equipment",
      "kind": "subcategory",
      "parent_slug": "industrial-safety-equipment",
      "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/material-handling-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/material-handling-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/material-handling-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/material-handling-equipment.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "material-handling-equipment",
        "parent_slug": "industrial-safety-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:31.908762+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Material Handling Equipment: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:31.908762+00:00. https://madgicx.com/labs/industries/industrial-safety-equipment/material-handling-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/material-handling-equipment#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Safety Systems Instruments",
      "slug": "safety-systems-instruments",
      "kind": "subcategory",
      "parent_slug": "industrial-safety-equipment",
      "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/safety-systems-instruments",
      "benchmark_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/safety-systems-instruments#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/safety-systems-instruments.md",
      "json_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/safety-systems-instruments.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "safety-systems-instruments",
        "parent_slug": "industrial-safety-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 56.87,
        "p25_aov_usd": 27.07,
        "p75_aov_usd": 230.05,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:31.908762+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Safety Systems Instruments account AOV: median $56.87; middle 50% $27.07–$230.05. Snapshot read 2026-10-11T14:09:31.908762+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/industrial-safety-equipment/safety-systems-instruments#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/safety-systems-instruments#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Workplace Safety Gear",
      "slug": "workplace-safety-gear",
      "kind": "subcategory",
      "parent_slug": "industrial-safety-equipment",
      "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/workplace-safety-gear",
      "benchmark_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/workplace-safety-gear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/workplace-safety-gear.md",
      "json_url": "https://madgicx.com/labs/industries/industrial-safety-equipment/workplace-safety-gear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "workplace-safety-gear",
        "parent_slug": "industrial-safety-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 79.3,
        "p25_aov_usd": 48.47,
        "p75_aov_usd": 126.77,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:31.908762+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Workplace Safety Gear account AOV: median $79.30; middle 50% $48.47–$126.77. Snapshot read 2026-10-11T14:09:31.908762+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/industrial-safety-equipment/workplace-safety-gear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/industrial-safety-equipment/workplace-safety-gear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Athletic Apparel & Accessories",
      "slug": "athletic-apparel-accessories",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-apparel-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-apparel-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-apparel-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-apparel-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "athletic-apparel-accessories",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 93.64,
        "p25_aov_usd": 54.06,
        "p75_aov_usd": 145.5,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Athletic Apparel & Accessories account AOV: median $93.64; middle 50% $54.06–$145.50. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-apparel-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-apparel-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Athletic Footwear",
      "slug": "athletic-footwear",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-footwear",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-footwear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-footwear.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-footwear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "athletic-footwear",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 102.24,
        "p25_aov_usd": 54.18,
        "p75_aov_usd": 182.13,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Athletic Footwear account AOV: median $102.24; middle 50% $54.18–$182.13. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-footwear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/athletic-footwear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Combat Sports Gear",
      "slug": "combat-sports-gear",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/combat-sports-gear",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/combat-sports-gear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/combat-sports-gear.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/combat-sports-gear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "combat-sports-gear",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 93.05,
        "p25_aov_usd": 58.22,
        "p75_aov_usd": 124.37,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Combat Sports Gear account AOV: median $93.05; middle 50% $58.22–$124.37. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/combat-sports-gear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/combat-sports-gear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Fitness Equipment Machines",
      "slug": "fitness-equipment-machines",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/fitness-equipment-machines",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/fitness-equipment-machines#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/fitness-equipment-machines.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/fitness-equipment-machines.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "fitness-equipment-machines",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 353.43,
        "p25_aov_usd": 136.73,
        "p75_aov_usd": 679.65,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Fitness Equipment Machines account AOV: median $353.43; middle 50% $136.73–$679.65. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/fitness-equipment-machines#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/fitness-equipment-machines#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Individual Sports Gear",
      "slug": "individual-sports-gear",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/individual-sports-gear",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/individual-sports-gear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/individual-sports-gear.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/individual-sports-gear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "individual-sports-gear",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 144.35,
        "p25_aov_usd": 68.84,
        "p75_aov_usd": 226.65,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Individual Sports Gear account AOV: median $144.35; middle 50% $68.84–$226.65. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/individual-sports-gear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/individual-sports-gear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Outdoor Recreation Gear",
      "slug": "outdoor-recreation-gear",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/outdoor-recreation-gear",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/outdoor-recreation-gear#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/outdoor-recreation-gear.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/outdoor-recreation-gear.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "outdoor-recreation-gear",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 187.65,
        "p25_aov_usd": 89.0,
        "p75_aov_usd": 362.77,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Outdoor Recreation Gear account AOV: median $187.65; middle 50% $89.00–$362.77. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/outdoor-recreation-gear#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/outdoor-recreation-gear#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Team Sports Equipment",
      "slug": "team-sports-equipment",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/team-sports-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/team-sports-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/team-sports-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/team-sports-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "team-sports-equipment",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 95.22,
        "p25_aov_usd": 59.79,
        "p75_aov_usd": 165.81,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Team Sports Equipment account AOV: median $95.22; middle 50% $59.79–$165.81. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/team-sports-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/team-sports-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Water Sports Equipment",
      "slug": "water-sports-equipment",
      "kind": "subcategory",
      "parent_slug": "sports-outdoor-equipment",
      "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/water-sports-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/water-sports-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/water-sports-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/water-sports-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "water-sports-equipment",
        "parent_slug": "sports-outdoor-equipment",
        "cohort_scope": "exact_child",
        "median_aov_usd": 185.6,
        "p25_aov_usd": 78.07,
        "p75_aov_usd": 472.9,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:54.153357+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Water Sports Equipment account AOV: median $185.60; middle 50% $78.07–$472.90. Snapshot read 2026-10-11T14:11:54.153357+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/sports-outdoor-equipment/water-sports-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/sports-outdoor-equipment/water-sports-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Action Figures Dolls",
      "slug": "action-figures-dolls",
      "kind": "subcategory",
      "parent_slug": "toys-games-hobbies",
      "url": "https://madgicx.com/labs/industries/toys-games-hobbies/action-figures-dolls",
      "benchmark_url": "https://madgicx.com/labs/industries/toys-games-hobbies/action-figures-dolls#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/toys-games-hobbies/action-figures-dolls.md",
      "json_url": "https://madgicx.com/labs/industries/toys-games-hobbies/action-figures-dolls.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "action-figures-dolls",
        "parent_slug": "toys-games-hobbies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 53.52,
        "p25_aov_usd": 13.53,
        "p75_aov_usd": 75.58,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:08.001520+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Action Figures Dolls account AOV: median $53.52; middle 50% $13.53–$75.58. Snapshot read 2026-10-11T14:12:08.001520+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/toys-games-hobbies/action-figures-dolls#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/toys-games-hobbies/action-figures-dolls#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Board Games Puzzles",
      "slug": "board-games-puzzles",
      "kind": "subcategory",
      "parent_slug": "toys-games-hobbies",
      "url": "https://madgicx.com/labs/industries/toys-games-hobbies/board-games-puzzles",
      "benchmark_url": "https://madgicx.com/labs/industries/toys-games-hobbies/board-games-puzzles#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/toys-games-hobbies/board-games-puzzles.md",
      "json_url": "https://madgicx.com/labs/industries/toys-games-hobbies/board-games-puzzles.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "board-games-puzzles",
        "parent_slug": "toys-games-hobbies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 45.99,
        "p25_aov_usd": 28.45,
        "p75_aov_usd": 61.31,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:08.001520+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Board Games Puzzles account AOV: median $45.99; middle 50% $28.45–$61.31. Snapshot read 2026-10-11T14:12:08.001520+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/toys-games-hobbies/board-games-puzzles#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/toys-games-hobbies/board-games-puzzles#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Construction Building Toys",
      "slug": "construction-building-toys",
      "kind": "subcategory",
      "parent_slug": "toys-games-hobbies",
      "url": "https://madgicx.com/labs/industries/toys-games-hobbies/construction-building-toys",
      "benchmark_url": "https://madgicx.com/labs/industries/toys-games-hobbies/construction-building-toys#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/toys-games-hobbies/construction-building-toys.md",
      "json_url": "https://madgicx.com/labs/industries/toys-games-hobbies/construction-building-toys.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "construction-building-toys",
        "parent_slug": "toys-games-hobbies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 47.36,
        "p25_aov_usd": 23.56,
        "p75_aov_usd": 108.62,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:08.001520+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Construction Building Toys account AOV: median $47.36; middle 50% $23.56–$108.62. Snapshot read 2026-10-11T14:12:08.001520+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/toys-games-hobbies/construction-building-toys#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/toys-games-hobbies/construction-building-toys#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hobby Craft Kits",
      "slug": "hobby-craft-kits",
      "kind": "subcategory",
      "parent_slug": "toys-games-hobbies",
      "url": "https://madgicx.com/labs/industries/toys-games-hobbies/hobby-craft-kits",
      "benchmark_url": "https://madgicx.com/labs/industries/toys-games-hobbies/hobby-craft-kits#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/toys-games-hobbies/hobby-craft-kits.md",
      "json_url": "https://madgicx.com/labs/industries/toys-games-hobbies/hobby-craft-kits.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "hobby-craft-kits",
        "parent_slug": "toys-games-hobbies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.27,
        "p25_aov_usd": 26.85,
        "p75_aov_usd": 77.38,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:08.001520+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hobby Craft Kits account AOV: median $48.27; middle 50% $26.85–$77.38. Snapshot read 2026-10-11T14:12:08.001520+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/toys-games-hobbies/hobby-craft-kits#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/toys-games-hobbies/hobby-craft-kits#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Model Kits Collectibles",
      "slug": "model-kits-collectibles",
      "kind": "subcategory",
      "parent_slug": "toys-games-hobbies",
      "url": "https://madgicx.com/labs/industries/toys-games-hobbies/model-kits-collectibles",
      "benchmark_url": "https://madgicx.com/labs/industries/toys-games-hobbies/model-kits-collectibles#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/toys-games-hobbies/model-kits-collectibles.md",
      "json_url": "https://madgicx.com/labs/industries/toys-games-hobbies/model-kits-collectibles.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "model-kits-collectibles",
        "parent_slug": "toys-games-hobbies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 52.79,
        "p25_aov_usd": 27.02,
        "p75_aov_usd": 98.72,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:08.001520+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Model Kits Collectibles account AOV: median $52.79; middle 50% $27.02–$98.72. Snapshot read 2026-10-11T14:12:08.001520+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/toys-games-hobbies/model-kits-collectibles#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/toys-games-hobbies/model-kits-collectibles#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Outdoor Recreational Toys",
      "slug": "outdoor-recreational-toys",
      "kind": "subcategory",
      "parent_slug": "toys-games-hobbies",
      "url": "https://madgicx.com/labs/industries/toys-games-hobbies/outdoor-recreational-toys",
      "benchmark_url": "https://madgicx.com/labs/industries/toys-games-hobbies/outdoor-recreational-toys#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/toys-games-hobbies/outdoor-recreational-toys.md",
      "json_url": "https://madgicx.com/labs/industries/toys-games-hobbies/outdoor-recreational-toys.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "outdoor-recreational-toys",
        "parent_slug": "toys-games-hobbies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 106.77,
        "p25_aov_usd": 37.2,
        "p75_aov_usd": 227.15,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:08.001520+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Outdoor Recreational Toys account AOV: median $106.77; middle 50% $37.20–$227.15. Snapshot read 2026-10-11T14:12:08.001520+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/toys-games-hobbies/outdoor-recreational-toys#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/toys-games-hobbies/outdoor-recreational-toys#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "All Inclusive Content Subscriptions",
      "slug": "all-inclusive-content-subscriptions",
      "kind": "subcategory",
      "parent_slug": "stock-media-content-platforms",
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/all-inclusive-content-subscriptions",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/all-inclusive-content-subscriptions#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/all-inclusive-content-subscriptions.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/all-inclusive-content-subscriptions.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "all-inclusive-content-subscriptions",
        "parent_slug": "stock-media-content-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. All Inclusive Content Subscriptions: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms/all-inclusive-content-subscriptions#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/all-inclusive-content-subscriptions#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Free Stock Media Platforms",
      "slug": "free-stock-media-platforms",
      "kind": "subcategory",
      "parent_slug": "stock-media-content-platforms",
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/free-stock-media-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/free-stock-media-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/free-stock-media-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/free-stock-media-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "free-stock-media-platforms",
        "parent_slug": "stock-media-content-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Free Stock Media Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms/free-stock-media-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/free-stock-media-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialized & Niche Stock Media",
      "slug": "specialized-niche-stock-media",
      "kind": "subcategory",
      "parent_slug": "stock-media-content-platforms",
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/specialized-niche-stock-media",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/specialized-niche-stock-media#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/specialized-niche-stock-media.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/specialized-niche-stock-media.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "specialized-niche-stock-media",
        "parent_slug": "stock-media-content-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialized & Niche Stock Media: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms/specialized-niche-stock-media#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/specialized-niche-stock-media#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Stock Graphics & Templates",
      "slug": "stock-graphics-templates",
      "kind": "subcategory",
      "parent_slug": "stock-media-content-platforms",
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-graphics-templates",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-graphics-templates#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-graphics-templates.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-graphics-templates.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "stock-graphics-templates",
        "parent_slug": "stock-media-content-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Stock Graphics & Templates: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms/stock-graphics-templates#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-graphics-templates#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Stock Music & Audio Platforms",
      "slug": "stock-music-audio-platforms",
      "kind": "subcategory",
      "parent_slug": "stock-media-content-platforms",
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-music-audio-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-music-audio-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-music-audio-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-music-audio-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "stock-music-audio-platforms",
        "parent_slug": "stock-media-content-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Stock Music & Audio Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms/stock-music-audio-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-music-audio-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Stock Photography Platforms",
      "slug": "stock-photography-platforms",
      "kind": "subcategory",
      "parent_slug": "stock-media-content-platforms",
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-photography-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-photography-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-photography-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-photography-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "stock-photography-platforms",
        "parent_slug": "stock-media-content-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Stock Photography Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms/stock-photography-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-photography-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Stock Video Platforms",
      "slug": "stock-video-platforms",
      "kind": "subcategory",
      "parent_slug": "stock-media-content-platforms",
      "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-video-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-video-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-video-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-video-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "stock-video-platforms",
        "parent_slug": "stock-media-content-platforms",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:58.268206+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Stock Video Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:58.268206+00:00. https://madgicx.com/labs/industries/stock-media-content-platforms/stock-video-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/stock-media-content-platforms/stock-video-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Console Video Games",
      "slug": "console-video-games",
      "kind": "subcategory",
      "parent_slug": "video-games-esports",
      "url": "https://madgicx.com/labs/industries/video-games-esports/console-video-games",
      "benchmark_url": "https://madgicx.com/labs/industries/video-games-esports/console-video-games#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/video-games-esports/console-video-games.md",
      "json_url": "https://madgicx.com/labs/industries/video-games-esports/console-video-games.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "console-video-games",
        "parent_slug": "video-games-esports",
        "cohort_scope": "exact_child",
        "median_aov_usd": 91.28,
        "p25_aov_usd": 22.21,
        "p75_aov_usd": 109.65,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:32.450764+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Console Video Games account AOV: median $91.28; middle 50% $22.21–$109.65. Snapshot read 2026-10-11T14:12:32.450764+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/video-games-esports/console-video-games#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/video-games-esports/console-video-games#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Esports Competitive Gaming",
      "slug": "esports-competitive-gaming",
      "kind": "subcategory",
      "parent_slug": "video-games-esports",
      "url": "https://madgicx.com/labs/industries/video-games-esports/esports-competitive-gaming",
      "benchmark_url": "https://madgicx.com/labs/industries/video-games-esports/esports-competitive-gaming#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/video-games-esports/esports-competitive-gaming.md",
      "json_url": "https://madgicx.com/labs/industries/video-games-esports/esports-competitive-gaming.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "esports-competitive-gaming",
        "parent_slug": "video-games-esports",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:32.450764+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Esports Competitive Gaming: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:32.450764+00:00. https://madgicx.com/labs/industries/video-games-esports/esports-competitive-gaming#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/video-games-esports/esports-competitive-gaming#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Gaming Content Addons",
      "slug": "gaming-content-addons",
      "kind": "subcategory",
      "parent_slug": "video-games-esports",
      "url": "https://madgicx.com/labs/industries/video-games-esports/gaming-content-addons",
      "benchmark_url": "https://madgicx.com/labs/industries/video-games-esports/gaming-content-addons#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/video-games-esports/gaming-content-addons.md",
      "json_url": "https://madgicx.com/labs/industries/video-games-esports/gaming-content-addons.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "gaming-content-addons",
        "parent_slug": "video-games-esports",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:32.450764+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Gaming Content Addons: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:32.450764+00:00. https://madgicx.com/labs/industries/video-games-esports/gaming-content-addons#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/video-games-esports/gaming-content-addons#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Gaming Platforms Services",
      "slug": "gaming-platforms-services",
      "kind": "subcategory",
      "parent_slug": "video-games-esports",
      "url": "https://madgicx.com/labs/industries/video-games-esports/gaming-platforms-services",
      "benchmark_url": "https://madgicx.com/labs/industries/video-games-esports/gaming-platforms-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/video-games-esports/gaming-platforms-services.md",
      "json_url": "https://madgicx.com/labs/industries/video-games-esports/gaming-platforms-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "gaming-platforms-services",
        "parent_slug": "video-games-esports",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:32.450764+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Gaming Platforms Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:32.450764+00:00. https://madgicx.com/labs/industries/video-games-esports/gaming-platforms-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/video-games-esports/gaming-platforms-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mobile Gaming Apps",
      "slug": "mobile-gaming-apps",
      "kind": "subcategory",
      "parent_slug": "video-games-esports",
      "url": "https://madgicx.com/labs/industries/video-games-esports/mobile-gaming-apps",
      "benchmark_url": "https://madgicx.com/labs/industries/video-games-esports/mobile-gaming-apps#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/video-games-esports/mobile-gaming-apps.md",
      "json_url": "https://madgicx.com/labs/industries/video-games-esports/mobile-gaming-apps.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "mobile-gaming-apps",
        "parent_slug": "video-games-esports",
        "cohort_scope": "exact_child",
        "median_aov_usd": 6.59,
        "p25_aov_usd": 3.7,
        "p75_aov_usd": 9.21,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:32.450764+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mobile Gaming Apps account AOV: median $6.59; middle 50% $3.70–$9.21. Snapshot read 2026-10-11T14:12:32.450764+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/video-games-esports/mobile-gaming-apps#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/video-games-esports/mobile-gaming-apps#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pc Gaming Software",
      "slug": "pc-gaming-software",
      "kind": "subcategory",
      "parent_slug": "video-games-esports",
      "url": "https://madgicx.com/labs/industries/video-games-esports/pc-gaming-software",
      "benchmark_url": "https://madgicx.com/labs/industries/video-games-esports/pc-gaming-software#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/video-games-esports/pc-gaming-software.md",
      "json_url": "https://madgicx.com/labs/industries/video-games-esports/pc-gaming-software.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "pc-gaming-software",
        "parent_slug": "video-games-esports",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:32.450764+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pc Gaming Software: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:32.450764+00:00. https://madgicx.com/labs/industries/video-games-esports/pc-gaming-software#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/video-games-esports/pc-gaming-software#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Bundled Communication Services",
      "slug": "bundled-communication-services",
      "kind": "subcategory",
      "parent_slug": "telecommunications-services",
      "url": "https://madgicx.com/labs/industries/telecommunications-services/bundled-communication-services",
      "benchmark_url": "https://madgicx.com/labs/industries/telecommunications-services/bundled-communication-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/telecommunications-services/bundled-communication-services.md",
      "json_url": "https://madgicx.com/labs/industries/telecommunications-services/bundled-communication-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "bundled-communication-services",
        "parent_slug": "telecommunications-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:02.976137+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Bundled Communication Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:02.976137+00:00. https://madgicx.com/labs/industries/telecommunications-services/bundled-communication-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/telecommunications-services/bundled-communication-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business Telecom Services",
      "slug": "business-telecom-services",
      "kind": "subcategory",
      "parent_slug": "telecommunications-services",
      "url": "https://madgicx.com/labs/industries/telecommunications-services/business-telecom-services",
      "benchmark_url": "https://madgicx.com/labs/industries/telecommunications-services/business-telecom-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/telecommunications-services/business-telecom-services.md",
      "json_url": "https://madgicx.com/labs/industries/telecommunications-services/business-telecom-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "business-telecom-services",
        "parent_slug": "telecommunications-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:02.976137+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business Telecom Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:02.976137+00:00. https://madgicx.com/labs/industries/telecommunications-services/business-telecom-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/telecommunications-services/business-telecom-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Mobile Wireless Services",
      "slug": "mobile-wireless-services",
      "kind": "subcategory",
      "parent_slug": "telecommunications-services",
      "url": "https://madgicx.com/labs/industries/telecommunications-services/mobile-wireless-services",
      "benchmark_url": "https://madgicx.com/labs/industries/telecommunications-services/mobile-wireless-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/telecommunications-services/mobile-wireless-services.md",
      "json_url": "https://madgicx.com/labs/industries/telecommunications-services/mobile-wireless-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "mobile-wireless-services",
        "parent_slug": "telecommunications-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 13.03,
        "p25_aov_usd": 7.9,
        "p75_aov_usd": 22.58,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:02.976137+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Mobile Wireless Services account AOV: median $13.03; middle 50% $7.90–$22.58. Snapshot read 2026-10-11T14:12:02.976137+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/telecommunications-services/mobile-wireless-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/telecommunications-services/mobile-wireless-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Prepaid Mobile Services",
      "slug": "prepaid-mobile-services",
      "kind": "subcategory",
      "parent_slug": "telecommunications-services",
      "url": "https://madgicx.com/labs/industries/telecommunications-services/prepaid-mobile-services",
      "benchmark_url": "https://madgicx.com/labs/industries/telecommunications-services/prepaid-mobile-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/telecommunications-services/prepaid-mobile-services.md",
      "json_url": "https://madgicx.com/labs/industries/telecommunications-services/prepaid-mobile-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "prepaid-mobile-services",
        "parent_slug": "telecommunications-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 20.8,
        "p25_aov_usd": 11.09,
        "p75_aov_usd": 40.96,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:02.976137+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Prepaid Mobile Services account AOV: median $20.80; middle 50% $11.09–$40.96. Snapshot read 2026-10-11T14:12:02.976137+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/telecommunications-services/prepaid-mobile-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/telecommunications-services/prepaid-mobile-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Residential Internet Services",
      "slug": "residential-internet-services",
      "kind": "subcategory",
      "parent_slug": "telecommunications-services",
      "url": "https://madgicx.com/labs/industries/telecommunications-services/residential-internet-services",
      "benchmark_url": "https://madgicx.com/labs/industries/telecommunications-services/residential-internet-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/telecommunications-services/residential-internet-services.md",
      "json_url": "https://madgicx.com/labs/industries/telecommunications-services/residential-internet-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "residential-internet-services",
        "parent_slug": "telecommunications-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 59.27,
        "p25_aov_usd": 32.86,
        "p75_aov_usd": 166.67,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:02.976137+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Residential Internet Services account AOV: median $59.27; middle 50% $32.86–$166.67. Snapshot read 2026-10-11T14:12:02.976137+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/telecommunications-services/residential-internet-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/telecommunications-services/residential-internet-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialized Communication Services",
      "slug": "specialized-communication-services",
      "kind": "subcategory",
      "parent_slug": "telecommunications-services",
      "url": "https://madgicx.com/labs/industries/telecommunications-services/specialized-communication-services",
      "benchmark_url": "https://madgicx.com/labs/industries/telecommunications-services/specialized-communication-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/telecommunications-services/specialized-communication-services.md",
      "json_url": "https://madgicx.com/labs/industries/telecommunications-services/specialized-communication-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "specialized-communication-services",
        "parent_slug": "telecommunications-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:02.976137+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialized Communication Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:02.976137+00:00. https://madgicx.com/labs/industries/telecommunications-services/specialized-communication-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/telecommunications-services/specialized-communication-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "E-Commerce Shipping Services",
      "slug": "e-commerce-shipping-services",
      "kind": "subcategory",
      "parent_slug": "transportation-logistics",
      "url": "https://madgicx.com/labs/industries/transportation-logistics/e-commerce-shipping-services",
      "benchmark_url": "https://madgicx.com/labs/industries/transportation-logistics/e-commerce-shipping-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/transportation-logistics/e-commerce-shipping-services.md",
      "json_url": "https://madgicx.com/labs/industries/transportation-logistics/e-commerce-shipping-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "e-commerce-shipping-services",
        "parent_slug": "transportation-logistics",
        "cohort_scope": "exact_child",
        "median_aov_usd": 44.58,
        "p25_aov_usd": 19.19,
        "p75_aov_usd": 68.09,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:12.821423+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. E-Commerce Shipping Services account AOV: median $44.58; middle 50% $19.19–$68.09. Snapshot read 2026-10-11T14:12:12.821423+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/transportation-logistics/e-commerce-shipping-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/transportation-logistics/e-commerce-shipping-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Freight Shipping Services",
      "slug": "freight-shipping-services",
      "kind": "subcategory",
      "parent_slug": "transportation-logistics",
      "url": "https://madgicx.com/labs/industries/transportation-logistics/freight-shipping-services",
      "benchmark_url": "https://madgicx.com/labs/industries/transportation-logistics/freight-shipping-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/transportation-logistics/freight-shipping-services.md",
      "json_url": "https://madgicx.com/labs/industries/transportation-logistics/freight-shipping-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "freight-shipping-services",
        "parent_slug": "transportation-logistics",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:12.821423+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Freight Shipping Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:12.821423+00:00. https://madgicx.com/labs/industries/transportation-logistics/freight-shipping-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/transportation-logistics/freight-shipping-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Local Delivery Services",
      "slug": "local-delivery-services",
      "kind": "subcategory",
      "parent_slug": "transportation-logistics",
      "url": "https://madgicx.com/labs/industries/transportation-logistics/local-delivery-services",
      "benchmark_url": "https://madgicx.com/labs/industries/transportation-logistics/local-delivery-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/transportation-logistics/local-delivery-services.md",
      "json_url": "https://madgicx.com/labs/industries/transportation-logistics/local-delivery-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "local-delivery-services",
        "parent_slug": "transportation-logistics",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:12.821423+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Local Delivery Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:12.821423+00:00. https://madgicx.com/labs/industries/transportation-logistics/local-delivery-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/transportation-logistics/local-delivery-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Logistics Management Services",
      "slug": "logistics-management-services",
      "kind": "subcategory",
      "parent_slug": "transportation-logistics",
      "url": "https://madgicx.com/labs/industries/transportation-logistics/logistics-management-services",
      "benchmark_url": "https://madgicx.com/labs/industries/transportation-logistics/logistics-management-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/transportation-logistics/logistics-management-services.md",
      "json_url": "https://madgicx.com/labs/industries/transportation-logistics/logistics-management-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "logistics-management-services",
        "parent_slug": "transportation-logistics",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:12.821423+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Logistics Management Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:12.821423+00:00. https://madgicx.com/labs/industries/transportation-logistics/logistics-management-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/transportation-logistics/logistics-management-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Package Delivery Services",
      "slug": "package-delivery-services",
      "kind": "subcategory",
      "parent_slug": "transportation-logistics",
      "url": "https://madgicx.com/labs/industries/transportation-logistics/package-delivery-services",
      "benchmark_url": "https://madgicx.com/labs/industries/transportation-logistics/package-delivery-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/transportation-logistics/package-delivery-services.md",
      "json_url": "https://madgicx.com/labs/industries/transportation-logistics/package-delivery-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "package-delivery-services",
        "parent_slug": "transportation-logistics",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:12.821423+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Package Delivery Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:12.821423+00:00. https://madgicx.com/labs/industries/transportation-logistics/package-delivery-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/transportation-logistics/package-delivery-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialized Transport Services",
      "slug": "specialized-transport-services",
      "kind": "subcategory",
      "parent_slug": "transportation-logistics",
      "url": "https://madgicx.com/labs/industries/transportation-logistics/specialized-transport-services",
      "benchmark_url": "https://madgicx.com/labs/industries/transportation-logistics/specialized-transport-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/transportation-logistics/specialized-transport-services.md",
      "json_url": "https://madgicx.com/labs/industries/transportation-logistics/specialized-transport-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "specialized-transport-services",
        "parent_slug": "transportation-logistics",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:12.821423+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialized Transport Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:12.821423+00:00. https://madgicx.com/labs/industries/transportation-logistics/specialized-transport-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/transportation-logistics/specialized-transport-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Electricity Providers",
      "slug": "electricity-providers",
      "kind": "subcategory",
      "parent_slug": "utilities-home-infrastructure-services",
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/electricity-providers",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/electricity-providers#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/electricity-providers.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/electricity-providers.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "electricity-providers",
        "parent_slug": "utilities-home-infrastructure-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Electricity Providers: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:22.789630+00:00. https://madgicx.com/labs/industries/utilities-home-infrastructure-services/electricity-providers#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/electricity-providers#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Energy Efficiency Programs",
      "slug": "energy-efficiency-programs",
      "kind": "subcategory",
      "parent_slug": "utilities-home-infrastructure-services",
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/energy-efficiency-programs",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/energy-efficiency-programs#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/energy-efficiency-programs.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/energy-efficiency-programs.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "energy-efficiency-programs",
        "parent_slug": "utilities-home-infrastructure-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Energy Efficiency Programs: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:22.789630+00:00. https://madgicx.com/labs/industries/utilities-home-infrastructure-services/energy-efficiency-programs#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/energy-efficiency-programs#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Home Energy Management Services",
      "slug": "home-energy-management-services",
      "kind": "subcategory",
      "parent_slug": "utilities-home-infrastructure-services",
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/home-energy-management-services",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/home-energy-management-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/home-energy-management-services.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/home-energy-management-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "home-energy-management-services",
        "parent_slug": "utilities-home-infrastructure-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Home Energy Management Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:22.789630+00:00. https://madgicx.com/labs/industries/utilities-home-infrastructure-services/home-energy-management-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/home-energy-management-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Natural Gas & Propane Services",
      "slug": "natural-gas-propane-services",
      "kind": "subcategory",
      "parent_slug": "utilities-home-infrastructure-services",
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/natural-gas-propane-services",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/natural-gas-propane-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/natural-gas-propane-services.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/natural-gas-propane-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "natural-gas-propane-services",
        "parent_slug": "utilities-home-infrastructure-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Natural Gas & Propane Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:22.789630+00:00. https://madgicx.com/labs/industries/utilities-home-infrastructure-services/natural-gas-propane-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/natural-gas-propane-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Renewable Energy Utilities",
      "slug": "renewable-energy-utilities",
      "kind": "subcategory",
      "parent_slug": "utilities-home-infrastructure-services",
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/renewable-energy-utilities",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/renewable-energy-utilities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/renewable-energy-utilities.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/renewable-energy-utilities.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "renewable-energy-utilities",
        "parent_slug": "utilities-home-infrastructure-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Renewable Energy Utilities: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:22.789630+00:00. https://madgicx.com/labs/industries/utilities-home-infrastructure-services/renewable-energy-utilities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/renewable-energy-utilities#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Waste Management & Recycling",
      "slug": "waste-management-recycling",
      "kind": "subcategory",
      "parent_slug": "utilities-home-infrastructure-services",
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/waste-management-recycling",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/waste-management-recycling#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/waste-management-recycling.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/waste-management-recycling.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "waste-management-recycling",
        "parent_slug": "utilities-home-infrastructure-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Waste Management & Recycling: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:22.789630+00:00. https://madgicx.com/labs/industries/utilities-home-infrastructure-services/waste-management-recycling#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/waste-management-recycling#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Water & Wastewater Services",
      "slug": "water-wastewater-services",
      "kind": "subcategory",
      "parent_slug": "utilities-home-infrastructure-services",
      "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/water-wastewater-services",
      "benchmark_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/water-wastewater-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/water-wastewater-services.md",
      "json_url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/water-wastewater-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "water-wastewater-services",
        "parent_slug": "utilities-home-infrastructure-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:22.789630+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Water & Wastewater Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:22.789630+00:00. https://madgicx.com/labs/industries/utilities-home-infrastructure-services/water-wastewater-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/utilities-home-infrastructure-services/water-wastewater-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Automobile Sales Dealerships",
      "slug": "automobile-sales-dealerships",
      "kind": "subcategory",
      "parent_slug": "vehicle-sales-transportation-products",
      "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/automobile-sales-dealerships",
      "benchmark_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/automobile-sales-dealerships#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/automobile-sales-dealerships.md",
      "json_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/automobile-sales-dealerships.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "automobile-sales-dealerships",
        "parent_slug": "vehicle-sales-transportation-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 641.09,
        "p25_aov_usd": 1.0,
        "p75_aov_usd": 2349.52,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:28.221736+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Automobile Sales Dealerships account AOV: median $641.09; middle 50% $1.00–$2,349.52. Snapshot read 2026-10-11T14:12:28.221736+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/vehicle-sales-transportation-products/automobile-sales-dealerships#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/automobile-sales-dealerships#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Electric Micromobility Sales",
      "slug": "electric-micromobility-sales",
      "kind": "subcategory",
      "parent_slug": "vehicle-sales-transportation-products",
      "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/electric-micromobility-sales",
      "benchmark_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/electric-micromobility-sales#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/electric-micromobility-sales.md",
      "json_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/electric-micromobility-sales.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "electric-micromobility-sales",
        "parent_slug": "vehicle-sales-transportation-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 1151.57,
        "p25_aov_usd": 571.86,
        "p75_aov_usd": 1832.8,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:28.221736+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Electric Micromobility Sales account AOV: median $1,151.57; middle 50% $571.86–$1,832.80. Snapshot read 2026-10-11T14:12:28.221736+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/vehicle-sales-transportation-products/electric-micromobility-sales#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/electric-micromobility-sales#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Marine Vehicle Sales",
      "slug": "marine-vehicle-sales",
      "kind": "subcategory",
      "parent_slug": "vehicle-sales-transportation-products",
      "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/marine-vehicle-sales",
      "benchmark_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/marine-vehicle-sales#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/marine-vehicle-sales.md",
      "json_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/marine-vehicle-sales.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "marine-vehicle-sales",
        "parent_slug": "vehicle-sales-transportation-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:28.221736+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Marine Vehicle Sales: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:28.221736+00:00. https://madgicx.com/labs/industries/vehicle-sales-transportation-products/marine-vehicle-sales#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/marine-vehicle-sales#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Motorcycle Scooter Sales",
      "slug": "motorcycle-scooter-sales",
      "kind": "subcategory",
      "parent_slug": "vehicle-sales-transportation-products",
      "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/motorcycle-scooter-sales",
      "benchmark_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/motorcycle-scooter-sales#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/motorcycle-scooter-sales.md",
      "json_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/motorcycle-scooter-sales.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "motorcycle-scooter-sales",
        "parent_slug": "vehicle-sales-transportation-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 73.86,
        "p25_aov_usd": 11.08,
        "p75_aov_usd": 653.69,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:28.221736+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Motorcycle Scooter Sales account AOV: median $73.86; middle 50% $11.08–$653.69. Snapshot read 2026-10-11T14:12:28.221736+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/vehicle-sales-transportation-products/motorcycle-scooter-sales#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/motorcycle-scooter-sales#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Recreational Vehicle Sales",
      "slug": "recreational-vehicle-sales",
      "kind": "subcategory",
      "parent_slug": "vehicle-sales-transportation-products",
      "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/recreational-vehicle-sales",
      "benchmark_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/recreational-vehicle-sales#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/recreational-vehicle-sales.md",
      "json_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/recreational-vehicle-sales.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "recreational-vehicle-sales",
        "parent_slug": "vehicle-sales-transportation-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:28.221736+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Recreational Vehicle Sales: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:12:28.221736+00:00. https://madgicx.com/labs/industries/vehicle-sales-transportation-products/recreational-vehicle-sales#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/recreational-vehicle-sales#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Vehicle Marketplaces",
      "slug": "vehicle-marketplaces",
      "kind": "subcategory",
      "parent_slug": "vehicle-sales-transportation-products",
      "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/vehicle-marketplaces",
      "benchmark_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/vehicle-marketplaces#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/vehicle-marketplaces.md",
      "json_url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/vehicle-marketplaces.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "vehicle-marketplaces",
        "parent_slug": "vehicle-sales-transportation-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 261.25,
        "p25_aov_usd": 4.62,
        "p75_aov_usd": 6851.48,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:12:28.221736+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Vehicle Marketplaces account AOV: median $261.25; middle 50% $4.62–$6,851.48. Snapshot read 2026-10-11T14:12:28.221736+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/vehicle-sales-transportation-products/vehicle-marketplaces#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/vehicle-sales-transportation-products/vehicle-marketplaces#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Diagnostic Medical Equipment",
      "slug": "diagnostic-medical-equipment",
      "kind": "subcategory",
      "parent_slug": "medical-equipment-supplies",
      "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/diagnostic-medical-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/diagnostic-medical-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/diagnostic-medical-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/diagnostic-medical-equipment.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "diagnostic-medical-equipment",
        "parent_slug": "medical-equipment-supplies",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:14.338636+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Diagnostic Medical Equipment: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:14.338636+00:00. https://madgicx.com/labs/industries/medical-equipment-supplies/diagnostic-medical-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/diagnostic-medical-equipment#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Emergency Medical Equipment",
      "slug": "emergency-medical-equipment",
      "kind": "subcategory",
      "parent_slug": "medical-equipment-supplies",
      "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/emergency-medical-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/emergency-medical-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/emergency-medical-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/emergency-medical-equipment.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "emergency-medical-equipment",
        "parent_slug": "medical-equipment-supplies",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:14.338636+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Emergency Medical Equipment: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:14.338636+00:00. https://madgicx.com/labs/industries/medical-equipment-supplies/emergency-medical-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/emergency-medical-equipment#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Medical Supplies Consumables",
      "slug": "medical-supplies-consumables",
      "kind": "subcategory",
      "parent_slug": "medical-equipment-supplies",
      "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/medical-supplies-consumables",
      "benchmark_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/medical-supplies-consumables#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/medical-supplies-consumables.md",
      "json_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/medical-supplies-consumables.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "medical-supplies-consumables",
        "parent_slug": "medical-equipment-supplies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 50.81,
        "p25_aov_usd": 43.93,
        "p75_aov_usd": 117.54,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:14.338636+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Medical Supplies Consumables account AOV: median $50.81; middle 50% $43.93–$117.54. Snapshot read 2026-10-11T14:10:14.338636+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/medical-equipment-supplies/medical-supplies-consumables#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/medical-supplies-consumables#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Patient Care Equipment",
      "slug": "patient-care-equipment",
      "kind": "subcategory",
      "parent_slug": "medical-equipment-supplies",
      "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/patient-care-equipment",
      "benchmark_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/patient-care-equipment#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/patient-care-equipment.md",
      "json_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/patient-care-equipment.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "patient-care-equipment",
        "parent_slug": "medical-equipment-supplies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 156.47,
        "p25_aov_usd": 97.74,
        "p75_aov_usd": 303.57,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:14.338636+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Patient Care Equipment account AOV: median $156.47; middle 50% $97.74–$303.57. Snapshot read 2026-10-11T14:10:14.338636+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/medical-equipment-supplies/patient-care-equipment#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/patient-care-equipment#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Surgical Medical Instruments",
      "slug": "surgical-medical-instruments",
      "kind": "subcategory",
      "parent_slug": "medical-equipment-supplies",
      "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/surgical-medical-instruments",
      "benchmark_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/surgical-medical-instruments#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/surgical-medical-instruments.md",
      "json_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/surgical-medical-instruments.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "surgical-medical-instruments",
        "parent_slug": "medical-equipment-supplies",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:14.338636+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Surgical Medical Instruments: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:14.338636+00:00. https://madgicx.com/labs/industries/medical-equipment-supplies/surgical-medical-instruments#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/surgical-medical-instruments#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Therapeutic Medical Devices",
      "slug": "therapeutic-medical-devices",
      "kind": "subcategory",
      "parent_slug": "medical-equipment-supplies",
      "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/therapeutic-medical-devices",
      "benchmark_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/therapeutic-medical-devices#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/therapeutic-medical-devices.md",
      "json_url": "https://madgicx.com/labs/industries/medical-equipment-supplies/therapeutic-medical-devices.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "therapeutic-medical-devices",
        "parent_slug": "medical-equipment-supplies",
        "cohort_scope": "exact_child",
        "median_aov_usd": 196.03,
        "p25_aov_usd": 80.8,
        "p75_aov_usd": 428.39,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:14.338636+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Therapeutic Medical Devices account AOV: median $196.03; middle 50% $80.80–$428.39. Snapshot read 2026-10-11T14:10:14.338636+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/medical-equipment-supplies/therapeutic-medical-devices#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/medical-equipment-supplies/therapeutic-medical-devices#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Over The Counter Medications",
      "slug": "over-the-counter-medications",
      "kind": "subcategory",
      "parent_slug": "pharmaceutical-products",
      "url": "https://madgicx.com/labs/industries/pharmaceutical-products/over-the-counter-medications",
      "benchmark_url": "https://madgicx.com/labs/industries/pharmaceutical-products/over-the-counter-medications#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pharmaceutical-products/over-the-counter-medications.md",
      "json_url": "https://madgicx.com/labs/industries/pharmaceutical-products/over-the-counter-medications.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "over-the-counter-medications",
        "parent_slug": "pharmaceutical-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 39.16,
        "p25_aov_usd": 17.96,
        "p75_aov_usd": 52.54,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:53.837621+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Over The Counter Medications account AOV: median $39.16; middle 50% $17.96–$52.54. Snapshot read 2026-10-11T14:10:53.837621+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/pharmaceutical-products/over-the-counter-medications#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pharmaceutical-products/over-the-counter-medications#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Prescription Acute Medications",
      "slug": "prescription-acute-medications",
      "kind": "subcategory",
      "parent_slug": "pharmaceutical-products",
      "url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-acute-medications",
      "benchmark_url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-acute-medications#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-acute-medications.md",
      "json_url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-acute-medications.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "prescription-acute-medications",
        "parent_slug": "pharmaceutical-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 236.94,
        "p25_aov_usd": 226.19,
        "p75_aov_usd": 237.61,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:53.837621+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Prescription Acute Medications account AOV: median $236.94; middle 50% $226.19–$237.61. Snapshot read 2026-10-11T14:10:53.837621+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/pharmaceutical-products/prescription-acute-medications#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-acute-medications#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Prescription Chronic Medications",
      "slug": "prescription-chronic-medications",
      "kind": "subcategory",
      "parent_slug": "pharmaceutical-products",
      "url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-chronic-medications",
      "benchmark_url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-chronic-medications#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-chronic-medications.md",
      "json_url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-chronic-medications.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "prescription-chronic-medications",
        "parent_slug": "pharmaceutical-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:53.837621+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Prescription Chronic Medications: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:53.837621+00:00. https://madgicx.com/labs/industries/pharmaceutical-products/prescription-chronic-medications#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pharmaceutical-products/prescription-chronic-medications#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Specialty Biologic Drugs",
      "slug": "specialty-biologic-drugs",
      "kind": "subcategory",
      "parent_slug": "pharmaceutical-products",
      "url": "https://madgicx.com/labs/industries/pharmaceutical-products/specialty-biologic-drugs",
      "benchmark_url": "https://madgicx.com/labs/industries/pharmaceutical-products/specialty-biologic-drugs#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/pharmaceutical-products/specialty-biologic-drugs.md",
      "json_url": "https://madgicx.com/labs/industries/pharmaceutical-products/specialty-biologic-drugs.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "specialty-biologic-drugs",
        "parent_slug": "pharmaceutical-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:53.837621+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Specialty Biologic Drugs: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:53.837621+00:00. https://madgicx.com/labs/industries/pharmaceutical-products/specialty-biologic-drugs#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/pharmaceutical-products/specialty-biologic-drugs#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Assisted Living Facilities",
      "slug": "assisted-living-facilities",
      "kind": "subcategory",
      "parent_slug": "senior-care-services",
      "url": "https://madgicx.com/labs/industries/senior-care-services/assisted-living-facilities",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services/assisted-living-facilities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services/assisted-living-facilities.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services/assisted-living-facilities.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "assisted-living-facilities",
        "parent_slug": "senior-care-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Assisted Living Facilities: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:39.483687+00:00. https://madgicx.com/labs/industries/senior-care-services/assisted-living-facilities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services/assisted-living-facilities#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Hospice & End Of Life Care",
      "slug": "hospice-end-of-life-care",
      "kind": "subcategory",
      "parent_slug": "senior-care-services",
      "url": "https://madgicx.com/labs/industries/senior-care-services/hospice-end-of-life-care",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services/hospice-end-of-life-care#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services/hospice-end-of-life-care.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services/hospice-end-of-life-care.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "hospice-end-of-life-care",
        "parent_slug": "senior-care-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Hospice & End Of Life Care: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:39.483687+00:00. https://madgicx.com/labs/industries/senior-care-services/hospice-end-of-life-care#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services/hospice-end-of-life-care#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "In Home Care Services",
      "slug": "in-home-care-services",
      "kind": "subcategory",
      "parent_slug": "senior-care-services",
      "url": "https://madgicx.com/labs/industries/senior-care-services/in-home-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services/in-home-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services/in-home-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services/in-home-care-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "in-home-care-services",
        "parent_slug": "senior-care-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. In Home Care Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:39.483687+00:00. https://madgicx.com/labs/industries/senior-care-services/in-home-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services/in-home-care-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Independent Living Communities",
      "slug": "independent-living-communities",
      "kind": "subcategory",
      "parent_slug": "senior-care-services",
      "url": "https://madgicx.com/labs/industries/senior-care-services/independent-living-communities",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services/independent-living-communities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services/independent-living-communities.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services/independent-living-communities.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "independent-living-communities",
        "parent_slug": "senior-care-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Independent Living Communities: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:39.483687+00:00. https://madgicx.com/labs/industries/senior-care-services/independent-living-communities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services/independent-living-communities#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Memory Care Services",
      "slug": "memory-care-services",
      "kind": "subcategory",
      "parent_slug": "senior-care-services",
      "url": "https://madgicx.com/labs/industries/senior-care-services/memory-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services/memory-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services/memory-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services/memory-care-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "memory-care-services",
        "parent_slug": "senior-care-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Memory Care Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:39.483687+00:00. https://madgicx.com/labs/industries/senior-care-services/memory-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services/memory-care-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Respite Care Services",
      "slug": "respite-care-services",
      "kind": "subcategory",
      "parent_slug": "senior-care-services",
      "url": "https://madgicx.com/labs/industries/senior-care-services/respite-care-services",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services/respite-care-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services/respite-care-services.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services/respite-care-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "respite-care-services",
        "parent_slug": "senior-care-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Respite Care Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:39.483687+00:00. https://madgicx.com/labs/industries/senior-care-services/respite-care-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services/respite-care-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Senior Care Referral Services",
      "slug": "senior-care-referral-services",
      "kind": "subcategory",
      "parent_slug": "senior-care-services",
      "url": "https://madgicx.com/labs/industries/senior-care-services/senior-care-referral-services",
      "benchmark_url": "https://madgicx.com/labs/industries/senior-care-services/senior-care-referral-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/senior-care-services/senior-care-referral-services.md",
      "json_url": "https://madgicx.com/labs/industries/senior-care-services/senior-care-referral-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "senior-care-referral-services",
        "parent_slug": "senior-care-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:39.483687+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Senior Care Referral Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:39.483687+00:00. https://madgicx.com/labs/industries/senior-care-services/senior-care-referral-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/senior-care-services/senior-care-referral-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Crypto Exchanges",
      "slug": "crypto-exchanges",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/crypto-exchanges",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/crypto-exchanges#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/crypto-exchanges.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/crypto-exchanges.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "crypto-exchanges",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Crypto Exchanges: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:03.549255+00:00. https://madgicx.com/labs/industries/financial-services-fintech/crypto-exchanges#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/crypto-exchanges#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Defi Blockchain Protocols",
      "slug": "defi-blockchain-protocols",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/defi-blockchain-protocols",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/defi-blockchain-protocols#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/defi-blockchain-protocols.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/defi-blockchain-protocols.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "defi-blockchain-protocols",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Defi Blockchain Protocols: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:03.549255+00:00. https://madgicx.com/labs/industries/financial-services-fintech/defi-blockchain-protocols#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/defi-blockchain-protocols#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Financial Infrastructure APIs",
      "slug": "financial-infrastructure-apis",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/financial-infrastructure-apis",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/financial-infrastructure-apis#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/financial-infrastructure-apis.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/financial-infrastructure-apis.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "financial-infrastructure-apis",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Financial Infrastructure APIs: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:03.549255+00:00. https://madgicx.com/labs/industries/financial-services-fintech/financial-infrastructure-apis#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/financial-infrastructure-apis#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Investment Trading Platforms",
      "slug": "investment-trading-platforms",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/investment-trading-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/investment-trading-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/investment-trading-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/investment-trading-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "investment-trading-platforms",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": 70.12,
        "p25_aov_usd": 33.56,
        "p75_aov_usd": 356.25,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Investment Trading Platforms account AOV: median $70.12; middle 50% $33.56–$356.25. Snapshot read 2026-10-11T14:08:03.549255+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/financial-services-fintech/investment-trading-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/investment-trading-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Lending Credit Platforms",
      "slug": "lending-credit-platforms",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/lending-credit-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/lending-credit-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/lending-credit-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/lending-credit-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "lending-credit-platforms",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": 11.53,
        "p25_aov_usd": 0.57,
        "p75_aov_usd": 89.12,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Lending Credit Platforms account AOV: median $11.53; middle 50% $0.57–$89.12. Snapshot read 2026-10-11T14:08:03.549255+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/financial-services-fintech/lending-credit-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/lending-credit-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "NFT Digital Asset Marketplaces",
      "slug": "nft-digital-asset-marketplaces",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/nft-digital-asset-marketplaces",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/nft-digital-asset-marketplaces#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/nft-digital-asset-marketplaces.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/nft-digital-asset-marketplaces.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "nft-digital-asset-marketplaces",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. NFT Digital Asset Marketplaces: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:03.549255+00:00. https://madgicx.com/labs/industries/financial-services-fintech/nft-digital-asset-marketplaces#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/nft-digital-asset-marketplaces#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Payment Transfer Services",
      "slug": "payment-transfer-services",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/payment-transfer-services",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/payment-transfer-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/payment-transfer-services.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/payment-transfer-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "payment-transfer-services",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": 26.35,
        "p25_aov_usd": 14.65,
        "p75_aov_usd": 229.62,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Payment Transfer Services account AOV: median $26.35; middle 50% $14.65–$229.62. Snapshot read 2026-10-11T14:08:03.549255+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/financial-services-fintech/payment-transfer-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/payment-transfer-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Personal Banking Services",
      "slug": "personal-banking-services",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/personal-banking-services",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/personal-banking-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/personal-banking-services.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/personal-banking-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "personal-banking-services",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": 57.46,
        "p25_aov_usd": 38.94,
        "p75_aov_usd": 126.4,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Personal Banking Services account AOV: median $57.46; middle 50% $38.94–$126.40. Snapshot read 2026-10-11T14:08:03.549255+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/financial-services-fintech/personal-banking-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/personal-banking-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Wealth Management Advisory",
      "slug": "wealth-management-advisory",
      "kind": "subcategory",
      "parent_slug": "financial-services-fintech",
      "url": "https://madgicx.com/labs/industries/financial-services-fintech/wealth-management-advisory",
      "benchmark_url": "https://madgicx.com/labs/industries/financial-services-fintech/wealth-management-advisory#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/financial-services-fintech/wealth-management-advisory.md",
      "json_url": "https://madgicx.com/labs/industries/financial-services-fintech/wealth-management-advisory.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "wealth-management-advisory",
        "parent_slug": "financial-services-fintech",
        "cohort_scope": "exact_child",
        "median_aov_usd": 20.35,
        "p25_aov_usd": 0.64,
        "p75_aov_usd": 196.79,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:03.549255+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Wealth Management Advisory account AOV: median $20.35; middle 50% $0.64–$196.79. Snapshot read 2026-10-11T14:08:03.549255+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/financial-services-fintech/wealth-management-advisory#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/financial-services-fintech/wealth-management-advisory#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business Legal Services",
      "slug": "business-legal-services",
      "kind": "subcategory",
      "parent_slug": "legal-services",
      "url": "https://madgicx.com/labs/industries/legal-services/business-legal-services",
      "benchmark_url": "https://madgicx.com/labs/industries/legal-services/business-legal-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/legal-services/business-legal-services.md",
      "json_url": "https://madgicx.com/labs/industries/legal-services/business-legal-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "business-legal-services",
        "parent_slug": "legal-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 38.42,
        "p25_aov_usd": 7.1,
        "p75_aov_usd": 208.8,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:03.938869+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business Legal Services account AOV: median $38.42; middle 50% $7.10–$208.80. Snapshot read 2026-10-11T14:10:03.938869+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/legal-services/business-legal-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/legal-services/business-legal-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Criminal Defense Services",
      "slug": "criminal-defense-services",
      "kind": "subcategory",
      "parent_slug": "legal-services",
      "url": "https://madgicx.com/labs/industries/legal-services/criminal-defense-services",
      "benchmark_url": "https://madgicx.com/labs/industries/legal-services/criminal-defense-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/legal-services/criminal-defense-services.md",
      "json_url": "https://madgicx.com/labs/industries/legal-services/criminal-defense-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "criminal-defense-services",
        "parent_slug": "legal-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:03.938869+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Criminal Defense Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:03.938869+00:00. https://madgicx.com/labs/industries/legal-services/criminal-defense-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/legal-services/criminal-defense-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Estate Legal Services",
      "slug": "estate-legal-services",
      "kind": "subcategory",
      "parent_slug": "legal-services",
      "url": "https://madgicx.com/labs/industries/legal-services/estate-legal-services",
      "benchmark_url": "https://madgicx.com/labs/industries/legal-services/estate-legal-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/legal-services/estate-legal-services.md",
      "json_url": "https://madgicx.com/labs/industries/legal-services/estate-legal-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "estate-legal-services",
        "parent_slug": "legal-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:03.938869+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Estate Legal Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:03.938869+00:00. https://madgicx.com/labs/industries/legal-services/estate-legal-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/legal-services/estate-legal-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Family Legal Services",
      "slug": "family-legal-services",
      "kind": "subcategory",
      "parent_slug": "legal-services",
      "url": "https://madgicx.com/labs/industries/legal-services/family-legal-services",
      "benchmark_url": "https://madgicx.com/labs/industries/legal-services/family-legal-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/legal-services/family-legal-services.md",
      "json_url": "https://madgicx.com/labs/industries/legal-services/family-legal-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "family-legal-services",
        "parent_slug": "legal-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:03.938869+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Family Legal Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:03.938869+00:00. https://madgicx.com/labs/industries/legal-services/family-legal-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/legal-services/family-legal-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Immigration Legal Services",
      "slug": "immigration-legal-services",
      "kind": "subcategory",
      "parent_slug": "legal-services",
      "url": "https://madgicx.com/labs/industries/legal-services/immigration-legal-services",
      "benchmark_url": "https://madgicx.com/labs/industries/legal-services/immigration-legal-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/legal-services/immigration-legal-services.md",
      "json_url": "https://madgicx.com/labs/industries/legal-services/immigration-legal-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "immigration-legal-services",
        "parent_slug": "legal-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:03.938869+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Immigration Legal Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:03.938869+00:00. https://madgicx.com/labs/industries/legal-services/immigration-legal-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/legal-services/immigration-legal-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Personal Injury Legal Services",
      "slug": "personal-injury-legal-services",
      "kind": "subcategory",
      "parent_slug": "legal-services",
      "url": "https://madgicx.com/labs/industries/legal-services/personal-injury-legal-services",
      "benchmark_url": "https://madgicx.com/labs/industries/legal-services/personal-injury-legal-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/legal-services/personal-injury-legal-services.md",
      "json_url": "https://madgicx.com/labs/industries/legal-services/personal-injury-legal-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "personal-injury-legal-services",
        "parent_slug": "legal-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:03.938869+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Personal Injury Legal Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:03.938869+00:00. https://madgicx.com/labs/industries/legal-services/personal-injury-legal-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/legal-services/personal-injury-legal-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Daily Fantasy Sports",
      "slug": "daily-fantasy-sports",
      "kind": "subcategory",
      "parent_slug": "gambling-betting-services",
      "url": "https://madgicx.com/labs/industries/gambling-betting-services/daily-fantasy-sports",
      "benchmark_url": "https://madgicx.com/labs/industries/gambling-betting-services/daily-fantasy-sports#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/gambling-betting-services/daily-fantasy-sports.md",
      "json_url": "https://madgicx.com/labs/industries/gambling-betting-services/daily-fantasy-sports.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "daily-fantasy-sports",
        "parent_slug": "gambling-betting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:28.124214+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Daily Fantasy Sports: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:28.124214+00:00. https://madgicx.com/labs/industries/gambling-betting-services/daily-fantasy-sports#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/gambling-betting-services/daily-fantasy-sports#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Horse Racing Betting",
      "slug": "horse-racing-betting",
      "kind": "subcategory",
      "parent_slug": "gambling-betting-services",
      "url": "https://madgicx.com/labs/industries/gambling-betting-services/horse-racing-betting",
      "benchmark_url": "https://madgicx.com/labs/industries/gambling-betting-services/horse-racing-betting#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/gambling-betting-services/horse-racing-betting.md",
      "json_url": "https://madgicx.com/labs/industries/gambling-betting-services/horse-racing-betting.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "horse-racing-betting",
        "parent_slug": "gambling-betting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:28.124214+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Horse Racing Betting: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:28.124214+00:00. https://madgicx.com/labs/industries/gambling-betting-services/horse-racing-betting#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/gambling-betting-services/horse-racing-betting#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Lottery Scratch Card Services",
      "slug": "lottery-scratch-card-services",
      "kind": "subcategory",
      "parent_slug": "gambling-betting-services",
      "url": "https://madgicx.com/labs/industries/gambling-betting-services/lottery-scratch-card-services",
      "benchmark_url": "https://madgicx.com/labs/industries/gambling-betting-services/lottery-scratch-card-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/gambling-betting-services/lottery-scratch-card-services.md",
      "json_url": "https://madgicx.com/labs/industries/gambling-betting-services/lottery-scratch-card-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "lottery-scratch-card-services",
        "parent_slug": "gambling-betting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 17.22,
        "p25_aov_usd": 12.09,
        "p75_aov_usd": 52.75,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:28.124214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Lottery Scratch Card Services account AOV: median $17.22; middle 50% $12.09–$52.75. Snapshot read 2026-10-11T14:08:28.124214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/gambling-betting-services/lottery-scratch-card-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/gambling-betting-services/lottery-scratch-card-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Online Casino Games",
      "slug": "online-casino-games",
      "kind": "subcategory",
      "parent_slug": "gambling-betting-services",
      "url": "https://madgicx.com/labs/industries/gambling-betting-services/online-casino-games",
      "benchmark_url": "https://madgicx.com/labs/industries/gambling-betting-services/online-casino-games#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/gambling-betting-services/online-casino-games.md",
      "json_url": "https://madgicx.com/labs/industries/gambling-betting-services/online-casino-games.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "online-casino-games",
        "parent_slug": "gambling-betting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 21.13,
        "p25_aov_usd": 7.3,
        "p75_aov_usd": 30.85,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:28.124214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Online Casino Games account AOV: median $21.13; middle 50% $7.30–$30.85. Snapshot read 2026-10-11T14:08:28.124214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/gambling-betting-services/online-casino-games#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/gambling-betting-services/online-casino-games#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Poker Gaming Platforms",
      "slug": "poker-gaming-platforms",
      "kind": "subcategory",
      "parent_slug": "gambling-betting-services",
      "url": "https://madgicx.com/labs/industries/gambling-betting-services/poker-gaming-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/gambling-betting-services/poker-gaming-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/gambling-betting-services/poker-gaming-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/gambling-betting-services/poker-gaming-platforms.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "poker-gaming-platforms",
        "parent_slug": "gambling-betting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:28.124214+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Poker Gaming Platforms: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:28.124214+00:00. https://madgicx.com/labs/industries/gambling-betting-services/poker-gaming-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/gambling-betting-services/poker-gaming-platforms#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Sports Betting Platforms",
      "slug": "sports-betting-platforms",
      "kind": "subcategory",
      "parent_slug": "gambling-betting-services",
      "url": "https://madgicx.com/labs/industries/gambling-betting-services/sports-betting-platforms",
      "benchmark_url": "https://madgicx.com/labs/industries/gambling-betting-services/sports-betting-platforms#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/gambling-betting-services/sports-betting-platforms.md",
      "json_url": "https://madgicx.com/labs/industries/gambling-betting-services/sports-betting-platforms.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "sports-betting-platforms",
        "parent_slug": "gambling-betting-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 15.0,
        "p25_aov_usd": 4.37,
        "p75_aov_usd": 41.41,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:28.124214+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Sports Betting Platforms account AOV: median $15.00; middle 50% $4.37–$41.41. Snapshot read 2026-10-11T14:08:28.124214+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/gambling-betting-services/sports-betting-platforms#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/gambling-betting-services/sports-betting-platforms#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Civic & Administrative Services",
      "slug": "civic-administrative-services",
      "kind": "subcategory",
      "parent_slug": "government-public-services",
      "url": "https://madgicx.com/labs/industries/government-public-services/civic-administrative-services",
      "benchmark_url": "https://madgicx.com/labs/industries/government-public-services/civic-administrative-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/government-public-services/civic-administrative-services.md",
      "json_url": "https://madgicx.com/labs/industries/government-public-services/civic-administrative-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "civic-administrative-services",
        "parent_slug": "government-public-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:32.449213+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Civic & Administrative Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:32.449213+00:00. https://madgicx.com/labs/industries/government-public-services/civic-administrative-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/government-public-services/civic-administrative-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Education & Workforce Services",
      "slug": "education-workforce-services",
      "kind": "subcategory",
      "parent_slug": "government-public-services",
      "url": "https://madgicx.com/labs/industries/government-public-services/education-workforce-services",
      "benchmark_url": "https://madgicx.com/labs/industries/government-public-services/education-workforce-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/government-public-services/education-workforce-services.md",
      "json_url": "https://madgicx.com/labs/industries/government-public-services/education-workforce-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "education-workforce-services",
        "parent_slug": "government-public-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:32.449213+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Education & Workforce Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:32.449213+00:00. https://madgicx.com/labs/industries/government-public-services/education-workforce-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/government-public-services/education-workforce-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Health & Safety Services",
      "slug": "health-safety-services",
      "kind": "subcategory",
      "parent_slug": "government-public-services",
      "url": "https://madgicx.com/labs/industries/government-public-services/health-safety-services",
      "benchmark_url": "https://madgicx.com/labs/industries/government-public-services/health-safety-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/government-public-services/health-safety-services.md",
      "json_url": "https://madgicx.com/labs/industries/government-public-services/health-safety-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "health-safety-services",
        "parent_slug": "government-public-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:32.449213+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Health & Safety Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:32.449213+00:00. https://madgicx.com/labs/industries/government-public-services/health-safety-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/government-public-services/health-safety-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Public Utility Services",
      "slug": "public-utility-services",
      "kind": "subcategory",
      "parent_slug": "government-public-services",
      "url": "https://madgicx.com/labs/industries/government-public-services/public-utility-services",
      "benchmark_url": "https://madgicx.com/labs/industries/government-public-services/public-utility-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/government-public-services/public-utility-services.md",
      "json_url": "https://madgicx.com/labs/industries/government-public-services/public-utility-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "public-utility-services",
        "parent_slug": "government-public-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:32.449213+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Public Utility Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:32.449213+00:00. https://madgicx.com/labs/industries/government-public-services/public-utility-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/government-public-services/public-utility-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Social Services & Benefits",
      "slug": "social-services-benefits",
      "kind": "subcategory",
      "parent_slug": "government-public-services",
      "url": "https://madgicx.com/labs/industries/government-public-services/social-services-benefits",
      "benchmark_url": "https://madgicx.com/labs/industries/government-public-services/social-services-benefits#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/government-public-services/social-services-benefits.md",
      "json_url": "https://madgicx.com/labs/industries/government-public-services/social-services-benefits.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "social-services-benefits",
        "parent_slug": "government-public-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:32.449213+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Social Services & Benefits: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:32.449213+00:00. https://madgicx.com/labs/industries/government-public-services/social-services-benefits#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/government-public-services/social-services-benefits#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Transportation Infrastructure",
      "slug": "transportation-infrastructure",
      "kind": "subcategory",
      "parent_slug": "government-public-services",
      "url": "https://madgicx.com/labs/industries/government-public-services/transportation-infrastructure",
      "benchmark_url": "https://madgicx.com/labs/industries/government-public-services/transportation-infrastructure#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/government-public-services/transportation-infrastructure.md",
      "json_url": "https://madgicx.com/labs/industries/government-public-services/transportation-infrastructure.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "transportation-infrastructure",
        "parent_slug": "government-public-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:32.449213+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Transportation Infrastructure: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:32.449213+00:00. https://madgicx.com/labs/industries/government-public-services/transportation-infrastructure#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/government-public-services/transportation-infrastructure#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Education Youth Organizations",
      "slug": "education-youth-organizations",
      "kind": "subcategory",
      "parent_slug": "nonprofit-social-organizations",
      "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/education-youth-organizations",
      "benchmark_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/education-youth-organizations#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/education-youth-organizations.md",
      "json_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/education-youth-organizations.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "education-youth-organizations",
        "parent_slug": "nonprofit-social-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": 23.9,
        "p25_aov_usd": 2.62,
        "p75_aov_usd": 61.13,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:28.346662+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Education Youth Organizations account AOV: median $23.90; middle 50% $2.62–$61.13. Snapshot read 2026-10-11T14:10:28.346662+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/nonprofit-social-organizations/education-youth-organizations#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/education-youth-organizations#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Environmental Conservation Groups",
      "slug": "environmental-conservation-groups",
      "kind": "subcategory",
      "parent_slug": "nonprofit-social-organizations",
      "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/environmental-conservation-groups",
      "benchmark_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/environmental-conservation-groups#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/environmental-conservation-groups.md",
      "json_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/environmental-conservation-groups.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "environmental-conservation-groups",
        "parent_slug": "nonprofit-social-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:28.346662+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Environmental Conservation Groups: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:28.346662+00:00. https://madgicx.com/labs/industries/nonprofit-social-organizations/environmental-conservation-groups#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/environmental-conservation-groups#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Health Medical Nonprofits",
      "slug": "health-medical-nonprofits",
      "kind": "subcategory",
      "parent_slug": "nonprofit-social-organizations",
      "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/health-medical-nonprofits",
      "benchmark_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/health-medical-nonprofits#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/health-medical-nonprofits.md",
      "json_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/health-medical-nonprofits.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "health-medical-nonprofits",
        "parent_slug": "nonprofit-social-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": 33.82,
        "p25_aov_usd": 27.38,
        "p75_aov_usd": 69.33,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:28.346662+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Health Medical Nonprofits account AOV: median $33.82; middle 50% $27.38–$69.33. Snapshot read 2026-10-11T14:10:28.346662+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/nonprofit-social-organizations/health-medical-nonprofits#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/health-medical-nonprofits#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Humanitarian Relief Organizations",
      "slug": "humanitarian-relief-organizations",
      "kind": "subcategory",
      "parent_slug": "nonprofit-social-organizations",
      "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/humanitarian-relief-organizations",
      "benchmark_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/humanitarian-relief-organizations#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/humanitarian-relief-organizations.md",
      "json_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/humanitarian-relief-organizations.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "humanitarian-relief-organizations",
        "parent_slug": "nonprofit-social-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": 14.91,
        "p25_aov_usd": 5.42,
        "p75_aov_usd": 42.75,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:28.346662+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Humanitarian Relief Organizations account AOV: median $14.91; middle 50% $5.42–$42.75. Snapshot read 2026-10-11T14:10:28.346662+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/nonprofit-social-organizations/humanitarian-relief-organizations#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/humanitarian-relief-organizations#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "International Development Ngos",
      "slug": "international-development-ngos",
      "kind": "subcategory",
      "parent_slug": "nonprofit-social-organizations",
      "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/international-development-ngos",
      "benchmark_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/international-development-ngos#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/international-development-ngos.md",
      "json_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/international-development-ngos.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "international-development-ngos",
        "parent_slug": "nonprofit-social-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:28.346662+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. International Development Ngos: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:28.346662+00:00. https://madgicx.com/labs/industries/nonprofit-social-organizations/international-development-ngos#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/international-development-ngos#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Social Services Charities",
      "slug": "social-services-charities",
      "kind": "subcategory",
      "parent_slug": "nonprofit-social-organizations",
      "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/social-services-charities",
      "benchmark_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/social-services-charities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/social-services-charities.md",
      "json_url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/social-services-charities.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "social-services-charities",
        "parent_slug": "nonprofit-social-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": 28.16,
        "p25_aov_usd": 6.78,
        "p75_aov_usd": 83.64,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:28.346662+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Social Services Charities account AOV: median $28.16; middle 50% $6.78–$83.64. Snapshot read 2026-10-11T14:10:28.346662+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/nonprofit-social-organizations/social-services-charities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/nonprofit-social-organizations/social-services-charities#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Civic Engagement Organizations",
      "slug": "civic-engagement-organizations",
      "kind": "subcategory",
      "parent_slug": "political-civic-organizations",
      "url": "https://madgicx.com/labs/industries/political-civic-organizations/civic-engagement-organizations",
      "benchmark_url": "https://madgicx.com/labs/industries/political-civic-organizations/civic-engagement-organizations#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/political-civic-organizations/civic-engagement-organizations.md",
      "json_url": "https://madgicx.com/labs/industries/political-civic-organizations/civic-engagement-organizations.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "civic-engagement-organizations",
        "parent_slug": "political-civic-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:58.703559+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Civic Engagement Organizations: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:58.703559+00:00. https://madgicx.com/labs/industries/political-civic-organizations/civic-engagement-organizations#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/political-civic-organizations/civic-engagement-organizations#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Grassroots Movements",
      "slug": "grassroots-movements",
      "kind": "subcategory",
      "parent_slug": "political-civic-organizations",
      "url": "https://madgicx.com/labs/industries/political-civic-organizations/grassroots-movements",
      "benchmark_url": "https://madgicx.com/labs/industries/political-civic-organizations/grassroots-movements#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/political-civic-organizations/grassroots-movements.md",
      "json_url": "https://madgicx.com/labs/industries/political-civic-organizations/grassroots-movements.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "grassroots-movements",
        "parent_slug": "political-civic-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:58.703559+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Grassroots Movements: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:58.703559+00:00. https://madgicx.com/labs/industries/political-civic-organizations/grassroots-movements#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/political-civic-organizations/grassroots-movements#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Lobbying Influence Groups",
      "slug": "lobbying-influence-groups",
      "kind": "subcategory",
      "parent_slug": "political-civic-organizations",
      "url": "https://madgicx.com/labs/industries/political-civic-organizations/lobbying-influence-groups",
      "benchmark_url": "https://madgicx.com/labs/industries/political-civic-organizations/lobbying-influence-groups#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/political-civic-organizations/lobbying-influence-groups.md",
      "json_url": "https://madgicx.com/labs/industries/political-civic-organizations/lobbying-influence-groups.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "lobbying-influence-groups",
        "parent_slug": "political-civic-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:58.703559+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Lobbying Influence Groups: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:58.703559+00:00. https://madgicx.com/labs/industries/political-civic-organizations/lobbying-influence-groups#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/political-civic-organizations/lobbying-influence-groups#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Policy Advocacy Groups",
      "slug": "policy-advocacy-groups",
      "kind": "subcategory",
      "parent_slug": "political-civic-organizations",
      "url": "https://madgicx.com/labs/industries/political-civic-organizations/policy-advocacy-groups",
      "benchmark_url": "https://madgicx.com/labs/industries/political-civic-organizations/policy-advocacy-groups#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/political-civic-organizations/policy-advocacy-groups.md",
      "json_url": "https://madgicx.com/labs/industries/political-civic-organizations/policy-advocacy-groups.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "policy-advocacy-groups",
        "parent_slug": "political-civic-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:58.703559+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Policy Advocacy Groups: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:58.703559+00:00. https://madgicx.com/labs/industries/political-civic-organizations/policy-advocacy-groups#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/political-civic-organizations/policy-advocacy-groups#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Political Action Committees",
      "slug": "political-action-committees",
      "kind": "subcategory",
      "parent_slug": "political-civic-organizations",
      "url": "https://madgicx.com/labs/industries/political-civic-organizations/political-action-committees",
      "benchmark_url": "https://madgicx.com/labs/industries/political-civic-organizations/political-action-committees#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/political-civic-organizations/political-action-committees.md",
      "json_url": "https://madgicx.com/labs/industries/political-civic-organizations/political-action-committees.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "political-action-committees",
        "parent_slug": "political-civic-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:58.703559+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Political Action Committees: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:58.703559+00:00. https://madgicx.com/labs/industries/political-civic-organizations/political-action-committees#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/political-civic-organizations/political-action-committees#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Political Campaigns Elections",
      "slug": "political-campaigns-elections",
      "kind": "subcategory",
      "parent_slug": "political-civic-organizations",
      "url": "https://madgicx.com/labs/industries/political-civic-organizations/political-campaigns-elections",
      "benchmark_url": "https://madgicx.com/labs/industries/political-civic-organizations/political-campaigns-elections#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/political-civic-organizations/political-campaigns-elections.md",
      "json_url": "https://madgicx.com/labs/industries/political-civic-organizations/political-campaigns-elections.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "political-campaigns-elections",
        "parent_slug": "political-civic-organizations",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:58.703559+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Political Campaigns Elections: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:58.703559+00:00. https://madgicx.com/labs/industries/political-civic-organizations/political-campaigns-elections#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/political-civic-organizations/political-campaigns-elections#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Astrology Services",
      "slug": "astrology-services",
      "kind": "subcategory",
      "parent_slug": "metaphysical-spiritual-services",
      "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/astrology-services",
      "benchmark_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/astrology-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/astrology-services.md",
      "json_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/astrology-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "astrology-services",
        "parent_slug": "metaphysical-spiritual-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 7.25,
        "p25_aov_usd": 3.16,
        "p75_aov_usd": 20.82,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:19.233856+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Astrology Services account AOV: median $7.25; middle 50% $3.16–$20.82. Snapshot read 2026-10-11T14:10:19.233856+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/metaphysical-spiritual-services/astrology-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/astrology-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Energy Healing Services",
      "slug": "energy-healing-services",
      "kind": "subcategory",
      "parent_slug": "metaphysical-spiritual-services",
      "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/energy-healing-services",
      "benchmark_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/energy-healing-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/energy-healing-services.md",
      "json_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/energy-healing-services.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "energy-healing-services",
        "parent_slug": "metaphysical-spiritual-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 48.06,
        "p25_aov_usd": 23.04,
        "p75_aov_usd": 138.54,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:19.233856+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Energy Healing Services account AOV: median $48.06; middle 50% $23.04–$138.54. Snapshot read 2026-10-11T14:10:19.233856+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/metaphysical-spiritual-services/energy-healing-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/energy-healing-services#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Medium Spirit Communication",
      "slug": "medium-spirit-communication",
      "kind": "subcategory",
      "parent_slug": "metaphysical-spiritual-services",
      "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/medium-spirit-communication",
      "benchmark_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/medium-spirit-communication#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/medium-spirit-communication.md",
      "json_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/medium-spirit-communication.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "medium-spirit-communication",
        "parent_slug": "metaphysical-spiritual-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:19.233856+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Medium Spirit Communication: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:19.233856+00:00. https://madgicx.com/labs/industries/metaphysical-spiritual-services/medium-spirit-communication#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/medium-spirit-communication#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Psychic Reading Services",
      "slug": "psychic-reading-services",
      "kind": "subcategory",
      "parent_slug": "metaphysical-spiritual-services",
      "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/psychic-reading-services",
      "benchmark_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/psychic-reading-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/psychic-reading-services.md",
      "json_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/psychic-reading-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "psychic-reading-services",
        "parent_slug": "metaphysical-spiritual-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:19.233856+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Psychic Reading Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:19.233856+00:00. https://madgicx.com/labs/industries/metaphysical-spiritual-services/psychic-reading-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/psychic-reading-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Spiritual Guidance Coaching",
      "slug": "spiritual-guidance-coaching",
      "kind": "subcategory",
      "parent_slug": "metaphysical-spiritual-services",
      "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/spiritual-guidance-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/spiritual-guidance-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/spiritual-guidance-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/spiritual-guidance-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "spiritual-guidance-coaching",
        "parent_slug": "metaphysical-spiritual-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": 19.89,
        "p25_aov_usd": 8.05,
        "p75_aov_usd": 94.25,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:19.233856+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Spiritual Guidance Coaching account AOV: median $19.89; middle 50% $8.05–$94.25. Snapshot read 2026-10-11T14:10:19.233856+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/metaphysical-spiritual-services/spiritual-guidance-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/spiritual-guidance-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Tarot Card Readings",
      "slug": "tarot-card-readings",
      "kind": "subcategory",
      "parent_slug": "metaphysical-spiritual-services",
      "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/tarot-card-readings",
      "benchmark_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/tarot-card-readings#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/tarot-card-readings.md",
      "json_url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/tarot-card-readings.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "tarot-card-readings",
        "parent_slug": "metaphysical-spiritual-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:19.233856+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Tarot Card Readings: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:19.233856+00:00. https://madgicx.com/labs/industries/metaphysical-spiritual-services/tarot-card-readings#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/metaphysical-spiritual-services/tarot-card-readings#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Christian Churches Ministries",
      "slug": "christian-churches-ministries",
      "kind": "subcategory",
      "parent_slug": "religious-organizations-worship",
      "url": "https://madgicx.com/labs/industries/religious-organizations-worship/christian-churches-ministries",
      "benchmark_url": "https://madgicx.com/labs/industries/religious-organizations-worship/christian-churches-ministries#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/religious-organizations-worship/christian-churches-ministries.md",
      "json_url": "https://madgicx.com/labs/industries/religious-organizations-worship/christian-churches-ministries.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "christian-churches-ministries",
        "parent_slug": "religious-organizations-worship",
        "cohort_scope": "exact_child",
        "median_aov_usd": 37.5,
        "p25_aov_usd": 24.16,
        "p75_aov_usd": 70.99,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:21.001573+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Christian Churches Ministries account AOV: median $37.50; middle 50% $24.16–$70.99. Snapshot read 2026-10-11T14:11:21.001573+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/religious-organizations-worship/christian-churches-ministries#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/religious-organizations-worship/christian-churches-ministries#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Interfaith Spiritual Communities",
      "slug": "interfaith-spiritual-communities",
      "kind": "subcategory",
      "parent_slug": "religious-organizations-worship",
      "url": "https://madgicx.com/labs/industries/religious-organizations-worship/interfaith-spiritual-communities",
      "benchmark_url": "https://madgicx.com/labs/industries/religious-organizations-worship/interfaith-spiritual-communities#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/religious-organizations-worship/interfaith-spiritual-communities.md",
      "json_url": "https://madgicx.com/labs/industries/religious-organizations-worship/interfaith-spiritual-communities.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "interfaith-spiritual-communities",
        "parent_slug": "religious-organizations-worship",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:21.001573+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Interfaith Spiritual Communities: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:21.001573+00:00. https://madgicx.com/labs/industries/religious-organizations-worship/interfaith-spiritual-communities#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/religious-organizations-worship/interfaith-spiritual-communities#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Islamic Mosques Centers",
      "slug": "islamic-mosques-centers",
      "kind": "subcategory",
      "parent_slug": "religious-organizations-worship",
      "url": "https://madgicx.com/labs/industries/religious-organizations-worship/islamic-mosques-centers",
      "benchmark_url": "https://madgicx.com/labs/industries/religious-organizations-worship/islamic-mosques-centers#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/religious-organizations-worship/islamic-mosques-centers.md",
      "json_url": "https://madgicx.com/labs/industries/religious-organizations-worship/islamic-mosques-centers.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "islamic-mosques-centers",
        "parent_slug": "religious-organizations-worship",
        "cohort_scope": "exact_child",
        "median_aov_usd": 13.92,
        "p25_aov_usd": 10.78,
        "p75_aov_usd": 63.07,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:21.001573+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Islamic Mosques Centers account AOV: median $13.92; middle 50% $10.78–$63.07. Snapshot read 2026-10-11T14:11:21.001573+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/religious-organizations-worship/islamic-mosques-centers#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/religious-organizations-worship/islamic-mosques-centers#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Jewish Synagogues Temples",
      "slug": "jewish-synagogues-temples",
      "kind": "subcategory",
      "parent_slug": "religious-organizations-worship",
      "url": "https://madgicx.com/labs/industries/religious-organizations-worship/jewish-synagogues-temples",
      "benchmark_url": "https://madgicx.com/labs/industries/religious-organizations-worship/jewish-synagogues-temples#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/religious-organizations-worship/jewish-synagogues-temples.md",
      "json_url": "https://madgicx.com/labs/industries/religious-organizations-worship/jewish-synagogues-temples.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "jewish-synagogues-temples",
        "parent_slug": "religious-organizations-worship",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:21.001573+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Jewish Synagogues Temples: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:21.001573+00:00. https://madgicx.com/labs/industries/religious-organizations-worship/jewish-synagogues-temples#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/religious-organizations-worship/jewish-synagogues-temples#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Religious Community Outreach",
      "slug": "religious-community-outreach",
      "kind": "subcategory",
      "parent_slug": "religious-organizations-worship",
      "url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-community-outreach",
      "benchmark_url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-community-outreach#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-community-outreach.md",
      "json_url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-community-outreach.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "religious-community-outreach",
        "parent_slug": "religious-organizations-worship",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:21.001573+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Religious Community Outreach: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:11:21.001573+00:00. https://madgicx.com/labs/industries/religious-organizations-worship/religious-community-outreach#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-community-outreach#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Religious Education Centers",
      "slug": "religious-education-centers",
      "kind": "subcategory",
      "parent_slug": "religious-organizations-worship",
      "url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-education-centers",
      "benchmark_url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-education-centers#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-education-centers.md",
      "json_url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-education-centers.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "religious-education-centers",
        "parent_slug": "religious-organizations-worship",
        "cohort_scope": "exact_child",
        "median_aov_usd": 18.95,
        "p25_aov_usd": 9.54,
        "p75_aov_usd": 59.16,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:11:21.001573+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Religious Education Centers account AOV: median $18.95; middle 50% $9.54–$59.16. Snapshot read 2026-10-11T14:11:21.001573+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/religious-organizations-worship/religious-education-centers#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/religious-organizations-worship/religious-education-centers#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Couples Wellness Products",
      "slug": "couples-wellness-products",
      "kind": "subcategory",
      "parent_slug": "intimate-wellness-products",
      "url": "https://madgicx.com/labs/industries/intimate-wellness-products/couples-wellness-products",
      "benchmark_url": "https://madgicx.com/labs/industries/intimate-wellness-products/couples-wellness-products#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/intimate-wellness-products/couples-wellness-products.md",
      "json_url": "https://madgicx.com/labs/industries/intimate-wellness-products/couples-wellness-products.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "couples-wellness-products",
        "parent_slug": "intimate-wellness-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 18.33,
        "p25_aov_usd": 8.85,
        "p75_aov_usd": 44.87,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:42.076525+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Couples Wellness Products account AOV: median $18.33; middle 50% $8.85–$44.87. Snapshot read 2026-10-11T14:09:42.076525+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/intimate-wellness-products/couples-wellness-products#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/intimate-wellness-products/couples-wellness-products#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Ergonomic Intimacy Supports",
      "slug": "ergonomic-intimacy-supports",
      "kind": "subcategory",
      "parent_slug": "intimate-wellness-products",
      "url": "https://madgicx.com/labs/industries/intimate-wellness-products/ergonomic-intimacy-supports",
      "benchmark_url": "https://madgicx.com/labs/industries/intimate-wellness-products/ergonomic-intimacy-supports#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/intimate-wellness-products/ergonomic-intimacy-supports.md",
      "json_url": "https://madgicx.com/labs/industries/intimate-wellness-products/ergonomic-intimacy-supports.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "ergonomic-intimacy-supports",
        "parent_slug": "intimate-wellness-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:42.076525+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Ergonomic Intimacy Supports: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:42.076525+00:00. https://madgicx.com/labs/industries/intimate-wellness-products/ergonomic-intimacy-supports#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/intimate-wellness-products/ergonomic-intimacy-supports#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Intimacy Positioning Pillows",
      "slug": "intimacy-positioning-pillows",
      "kind": "subcategory",
      "parent_slug": "intimate-wellness-products",
      "url": "https://madgicx.com/labs/industries/intimate-wellness-products/intimacy-positioning-pillows",
      "benchmark_url": "https://madgicx.com/labs/industries/intimate-wellness-products/intimacy-positioning-pillows#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/intimate-wellness-products/intimacy-positioning-pillows.md",
      "json_url": "https://madgicx.com/labs/industries/intimate-wellness-products/intimacy-positioning-pillows.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "intimacy-positioning-pillows",
        "parent_slug": "intimate-wellness-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:42.076525+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Intimacy Positioning Pillows: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:09:42.076525+00:00. https://madgicx.com/labs/industries/intimate-wellness-products/intimacy-positioning-pillows#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/intimate-wellness-products/intimacy-positioning-pillows#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Sexual Wellness Accessories",
      "slug": "sexual-wellness-accessories",
      "kind": "subcategory",
      "parent_slug": "intimate-wellness-products",
      "url": "https://madgicx.com/labs/industries/intimate-wellness-products/sexual-wellness-accessories",
      "benchmark_url": "https://madgicx.com/labs/industries/intimate-wellness-products/sexual-wellness-accessories#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/intimate-wellness-products/sexual-wellness-accessories.md",
      "json_url": "https://madgicx.com/labs/industries/intimate-wellness-products/sexual-wellness-accessories.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "sexual-wellness-accessories",
        "parent_slug": "intimate-wellness-products",
        "cohort_scope": "exact_child",
        "median_aov_usd": 51.11,
        "p25_aov_usd": 14.51,
        "p75_aov_usd": 97.5,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:09:42.076525+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Sexual Wellness Accessories account AOV: median $51.11; middle 50% $14.51–$97.50. Snapshot read 2026-10-11T14:09:42.076525+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/intimate-wellness-products/sexual-wellness-accessories#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/intimate-wellness-products/sexual-wellness-accessories#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cemetery Burial Services",
      "slug": "cemetery-burial-services",
      "kind": "subcategory",
      "parent_slug": "funeral-cemetery-services",
      "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cemetery-burial-services",
      "benchmark_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cemetery-burial-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cemetery-burial-services.md",
      "json_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cemetery-burial-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "cemetery-burial-services",
        "parent_slug": "funeral-cemetery-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:23.051130+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cemetery Burial Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:23.051130+00:00. https://madgicx.com/labs/industries/funeral-cemetery-services/cemetery-burial-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cemetery-burial-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Cremation Services",
      "slug": "cremation-services",
      "kind": "subcategory",
      "parent_slug": "funeral-cemetery-services",
      "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cremation-services",
      "benchmark_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cremation-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cremation-services.md",
      "json_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cremation-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "cremation-services",
        "parent_slug": "funeral-cemetery-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:23.051130+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Cremation Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:23.051130+00:00. https://madgicx.com/labs/industries/funeral-cemetery-services/cremation-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/cremation-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Funeral Home Services",
      "slug": "funeral-home-services",
      "kind": "subcategory",
      "parent_slug": "funeral-cemetery-services",
      "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-home-services",
      "benchmark_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-home-services#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-home-services.md",
      "json_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-home-services.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "funeral-home-services",
        "parent_slug": "funeral-cemetery-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:23.051130+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Funeral Home Services: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:23.051130+00:00. https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-home-services#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-home-services#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Funeral Products Supplies",
      "slug": "funeral-products-supplies",
      "kind": "subcategory",
      "parent_slug": "funeral-cemetery-services",
      "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-products-supplies",
      "benchmark_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-products-supplies#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-products-supplies.md",
      "json_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-products-supplies.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "funeral-products-supplies",
        "parent_slug": "funeral-cemetery-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:23.051130+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Funeral Products Supplies: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:23.051130+00:00. https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-products-supplies#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/funeral-products-supplies#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Memorial Service Providers",
      "slug": "memorial-service-providers",
      "kind": "subcategory",
      "parent_slug": "funeral-cemetery-services",
      "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/memorial-service-providers",
      "benchmark_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/memorial-service-providers#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/memorial-service-providers.md",
      "json_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/memorial-service-providers.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "memorial-service-providers",
        "parent_slug": "funeral-cemetery-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:23.051130+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Memorial Service Providers: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:23.051130+00:00. https://madgicx.com/labs/industries/funeral-cemetery-services/memorial-service-providers#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/memorial-service-providers#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Pre Need Funeral Planning",
      "slug": "pre-need-funeral-planning",
      "kind": "subcategory",
      "parent_slug": "funeral-cemetery-services",
      "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/pre-need-funeral-planning",
      "benchmark_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/pre-need-funeral-planning#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/pre-need-funeral-planning.md",
      "json_url": "https://madgicx.com/labs/industries/funeral-cemetery-services/pre-need-funeral-planning.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "pre-need-funeral-planning",
        "parent_slug": "funeral-cemetery-services",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:08:23.051130+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Pre Need Funeral Planning: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:08:23.051130+00:00. https://madgicx.com/labs/industries/funeral-cemetery-services/pre-need-funeral-planning#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/funeral-cemetery-services/pre-need-funeral-planning#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Business & Entrepreneurial Coaching",
      "slug": "business-entrepreneurial-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/business-entrepreneurial-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/business-entrepreneurial-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/business-entrepreneurial-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/business-entrepreneurial-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "business-entrepreneurial-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": 70.12,
        "p25_aov_usd": 24.42,
        "p75_aov_usd": 383.41,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Business & Entrepreneurial Coaching account AOV: median $70.12; middle 50% $24.42–$383.41. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development/business-entrepreneurial-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/business-entrepreneurial-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Career Development Coaching",
      "slug": "career-development-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/career-development-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/career-development-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/career-development-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/career-development-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "career-development-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": 75.26,
        "p25_aov_usd": 5.89,
        "p75_aov_usd": 498.66,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Career Development Coaching account AOV: median $75.26; middle 50% $5.89–$498.66. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development/career-development-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/career-development-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Confidence & Mindset Coaching",
      "slug": "confidence-mindset-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/confidence-mindset-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/confidence-mindset-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/confidence-mindset-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/confidence-mindset-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "confidence-mindset-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": 24.91,
        "p25_aov_usd": 7.13,
        "p75_aov_usd": 80.55,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Confidence & Mindset Coaching account AOV: median $24.91; middle 50% $7.13–$80.55. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development/confidence-mindset-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/confidence-mindset-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Executive Leadership Coaching",
      "slug": "executive-leadership-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/executive-leadership-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/executive-leadership-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/executive-leadership-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/executive-leadership-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "executive-leadership-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": 1.0,
        "p25_aov_usd": 1.0,
        "p75_aov_usd": 1.01,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Executive Leadership Coaching account AOV: median $1.00; middle 50% $1.00–$1.01. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development/executive-leadership-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/executive-leadership-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Life Purpose Coaching",
      "slug": "life-purpose-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/life-purpose-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/life-purpose-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/life-purpose-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/life-purpose-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "life-purpose-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": 81.69,
        "p25_aov_usd": 23.63,
        "p75_aov_usd": 149.86,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Life Purpose Coaching account AOV: median $81.69; middle 50% $23.63–$149.86. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development/life-purpose-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/life-purpose-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Niche Specialty Coaching",
      "slug": "niche-specialty-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/niche-specialty-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/niche-specialty-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/niche-specialty-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/niche-specialty-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "niche-specialty-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": 147.29,
        "p25_aov_usd": 34.64,
        "p75_aov_usd": 149.64,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Niche Specialty Coaching account AOV: median $147.29; middle 50% $34.64–$149.64. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development/niche-specialty-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/niche-specialty-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Productivity & Performance Coaching",
      "slug": "productivity-performance-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/productivity-performance-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/productivity-performance-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/productivity-performance-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/productivity-performance-coaching.json",
      "benchmark": {
        "status": "unavailable_insufficient_cohort",
        "slug": "productivity-performance-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": null,
        "p25_aov_usd": null,
        "p75_aov_usd": null,
        "metric_window": null,
        "scope_label": "The exact category cohort does not support a publishable AOV aggregate.",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "No publishable aggregate; underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Productivity & Performance Coaching: no publishable AOV benchmark. The exact category cohort does not support a publishable AOV aggregate. Status reviewed 2026-10-11T14:10:41.778648+00:00. https://madgicx.com/labs/industries/personal-coaching-development/productivity-performance-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/productivity-performance-coaching#benchmark"
        }
      },
      "has_benchmark": false,
      "directory_status": "deferred",
      "page_readiness": "published"
    },
    {
      "name": "Relationship & Communication Coaching",
      "slug": "relationship-communication-coaching",
      "kind": "subcategory",
      "parent_slug": "personal-coaching-development",
      "url": "https://madgicx.com/labs/industries/personal-coaching-development/relationship-communication-coaching",
      "benchmark_url": "https://madgicx.com/labs/industries/personal-coaching-development/relationship-communication-coaching#benchmark",
      "markdown_url": "https://madgicx.com/labs/industries/personal-coaching-development/relationship-communication-coaching.md",
      "json_url": "https://madgicx.com/labs/industries/personal-coaching-development/relationship-communication-coaching.json",
      "benchmark": {
        "status": "verified_aggregate",
        "slug": "relationship-communication-coaching",
        "parent_slug": "personal-coaching-development",
        "cohort_scope": "exact_child",
        "median_aov_usd": 37.68,
        "p25_aov_usd": 24.64,
        "p75_aov_usd": 71.31,
        "metric_window": null,
        "scope_label": "Equal-weight account aggregate · Reporting period not supplied",
        "methodology": "Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census.",
        "read_at": "2026-10-11T14:10:41.778648+00:00",
        "period_label": "Dated snapshot · underlying reporting period not supplied",
        "citation": "Madgicx Research & Labs. Relationship & Communication Coaching account AOV: median $37.68; middle 50% $24.64–$71.31. Snapshot read 2026-10-11T14:10:41.778648+00:00; underlying reporting period not supplied. https://madgicx.com/labs/industries/personal-coaching-development/relationship-communication-coaching#benchmark",
        "source": {
          "name": "Madgicx Research & Labs",
          "url": "https://madgicx.com/labs/industries/personal-coaching-development/relationship-communication-coaching#benchmark"
        }
      },
      "has_benchmark": true,
      "directory_status": "deferred",
      "page_readiness": "published"
    }
  ]
}