No publishable AOV benchmark
Explore category insights and their sources below.
Madgicx Research & Labs
Connect the system to the hiring outcome.
Explore category insights and their sources below.
Within Recruitment & HR Services
Randstad’s UK and Ireland case describes an end-to-end recruitment process outsourcing engagement from requisition to offer acceptance. An employer inquiry concerns that service relationship; it is distinct from a candidate application. Track commissioned scope separately from the hiring activity delivered through the programme.
Randstad’s case includes CRM talent communities alongside a requisition-to-offer hiring process. A registration can support a future pipeline but does not establish a current requisition, assessment or accepted offer. Retain community activity and confirmed hiring outcomes as separate measures.
Randstad’s case describes different phases for experienced hiring and volume hiring. Keep role and programme scope visible when comparing campaign cohorts, instead of assuming equal hiring journeys. The case provides context for segmentation, not a transferable Meta cost or speed benchmark.
Randstad’s case discusses time to offer, hiring-manager satisfaction and early attrition as programme outcomes. Define those measures with the client and distinguish them from acquisition lead cost. Its case results are not this child’s benchmark, and registration volume alone establishes none of those outcomes.
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.