No publishable AOV benchmark
Explore category insights and their sources below.
Madgicx Research & Labs
Soil-report interpretation and consultation scope.
Explore category insights and their sources below.
Within Agriculture & Farming
University of Minnesota Extension says nutrient figures on a soil report are laboratory measurements, often expressed in parts per million. A consulting offer should identify report interpretation as a service, rather than imply the report directly states a treatment plan.
UMN explains that a soil-test number is an index tied to a relative level, not the total nutrient amount or the amount a crop can use. Marketing can show the analysis step without presenting one number as a field-wide prescription.
UMN uses very low through very high categories to interpret test results and the likelihood of response to applied nutrients. The creative can invite review of the actual report and crop context, with no promised yield outcome.
UMN notes that reports can express measurements in different units and use different ranges for relative levels. A service page can ask buyers to bring the report and laboratory context before discussing recommendations.
No publishable AOV benchmark is available.
The exact category cohort does not support a publishable AOV aggregate. Parent and sibling benchmarks are not substituted.
The exports section provides this edition in Markdown and JSON, along with a research index. This private draft is not licensed for public redistribution.
When reuse is permitted, credit Madgicx Research & Labs and link to the exact source. Keep its snapshot date and scope. This private draft is not licensed for public redistribution.
Research scope
Benchmark status reviewed 11 October 2026.
The exact category cohort does not support a publishable AOV aggregate.
Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census. Parent and sibling benchmarks are never substituted.
Individually authored category research. The brand directory is deferred for this private draft. Taxonomy membership does not establish benchmark coverage.
When reuse is permitted, credit Madgicx Research & Labs and link to the exact source. Keep its snapshot date and scope. This private draft is not licensed for public redistribution.