No publishable AOV benchmark
Explore category insights and their sources below.
Job Portals & Employment Platforms372 / 552
Madgicx Research & Labs
Specialized Job Platforms
Qualified interest starts with fit.
MADGICX / LABSINDUSTRY RESEARCH
Research only
Scope & method
Within Job Portals & Employment Platforms
More in this industry. 5
Questions, answered.AOV, context & using this research7 answers
In this category
How can a technology-job platform qualify leads beyond application volume?
Dice’s 2021 candidate-match guidance compares technology skills and job titles with a posting. Define the relevant skill fit alongside application counts; more applicants alone does not establish more suitable candidates. Current feature behavior was not tested.
Does a technology-platform match label establish an interview or hire?
Dice describes match levels displayed with application details. Treat the label as a provider fit signal and report employer interviews and hires separately; the article does not establish those outcomes.
Which advertised skill requirements should a specialist platform make explicit?
Dice explains that specific skills in a job description are mapped against a candidate’s resume. Use precise required skills in the offer and qualification review rather than a generic technology-interest label.
What scoring change could affect a specialist-platform cohort comparison?
Dice says employer feedback helps train its matching model. Document the scoring definition used for a comparison rather than assuming a fit label is a fixed, independently measured industry benchmark.
Category research
Is an AOV benchmark available for this category?
No publishable AOV benchmark is available.
The exact category cohort does not support a publishable AOV aggregate. Parent and sibling benchmarks are not substituted.
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Can I download this industry research?
The exports section provides this edition in Markdown and JSON, along with a research index. This private draft is not licensed for public redistribution.
How should I cite a finding from this page?
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.
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Connected industries.
Research scope
Small print.
Clear boundaries.
Evidence 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.
Category scope
Individually authored category research. The brand directory is deferred for this private draft. Taxonomy membership does not establish benchmark coverage.
Exports & citation detailsMarkdown · JSON · Embed
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.