No publishable AOV benchmark
Explore category insights and their sources below.
K-12 Education Institutions364 / 552
Madgicx Research & Labs
Middle Schools
Read demand by grade and program.
MADGICX / LABSINDUSTRY RESEARCH
Research only
Scope & method
Within K-12 Education Institutions
More in this industry. 5
Questions, answered.AOV, context & using this research7 answers
In this category
Which grade-transition detail should a middle-school lead form establish?
NYC middle-school eligibility covers residents in the final elementary grade, typically fifth or sixth. Confirm the transition year and applicable jurisdiction before treating an inquiry as an eligible applicant.
How should middle-school program demand be counted?
NYC explains that school programs are distinct application choices. Report unique applicants separately from their program interests so multiple choices do not inflate the number of children acquired by a campaign.
Why might two middle-school lead cohorts have different offer rates?
NYC describes geographic admission priorities for zoned or district programs. Examine the applicable priority groups alongside application volume; a difference in offers does not, by itself, establish a difference in ad quality.
Should a middle-school waitlist offer be merged with the initial offer?
NYC describes waitlist offers as dependent on available seats and admissions priorities. Record the offer stage and timing separately so later seat movement is not automatically credited to a new campaign.
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.
Use this research
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.
Keep exploring
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.