No publishable AOV benchmark
Explore category insights and their sources below.
Madgicx Research & Labs
An emergency-equipment lead needs a precise specification.
Explore category insights and their sources below.
Within Medical Equipment & Supplies
FDA identifies US public-access AEDs for laypeople with minimal training and professional-use AEDs for first responders with additional training. An equipment enquiry should name its intended setting and model category. Those labels do not establish that every device fits every buyer.
FDA's US overview distinguishes semi-automatic AEDs, which prompt a user to press a button, from fully automatic AEDs, which deliver a shock without that intervention when their software determines it is required. Specify the offered operating mode rather than using an undifferentiated automatic claim.
FDA's US AED page says necessary accessories are expected to be labeled for use with an FDA-approved AED. It also advises checking manufacturer approval status and using authorized retailers. A quote should identify the device and compatible accessory models; this packet makes no compatibility determination for a particular pair.
US FDA distinguishes registration and listing from approval, clearance or authorization. The AED page separately lists approved devices and accessories. Suggested practice: tie a claim to the named model's applicable FDA record rather than a seller certificate or category-wide badge.
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.