No publishable AOV benchmark
Explore category insights and their sources below.
K-12 Education Institutions362 / 552
Madgicx Research & Labs
Elementary Schools
Count families at the right stage.
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
How can school-zone eligibility change the meaning of an elementary-school lead?
NYC kindergarten guidance explains zoned-school priority and warns that the zoned school is not necessarily the closest school. Clarify the applicable attendance rules in local recruitment paths rather than assuming proximity establishes eligibility.
Does attending a school’s pre-K remove the kindergarten application step?
NYC says existing pre-K students still need to apply for kindergarten even when they have priority. Track the next-grade application separately from existing attendance when evaluating transition outreach.
Should multiple elementary program choices count as multiple acquired children?
NYC permits multiple program choices but one kindergarten application per child. Use a unique-child count alongside program selections so demand across choices is not mistaken for additional families acquired.
Which event follows an accepted elementary-school offer?
NYC instructs families to accept the kindergarten offer and then register with the school. Keep accepted offers and completed registrations distinct in the enrollment report.
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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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.