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Glass neural processor with branching circuits - AI & Machine Learning Platforms Meta ads research by Madgicx Labs

Madgicx Research & Labs

AI & Machine Learning Platforms

Median account AOV: $31.13 USD.

MADGICX / LABSINDUSTRY RESEARCH

Category benchmark

USD · Account AOV
$31.13

Average order value

Median account AOV · USD

$11.52 to $143.31Middle 50% of account AOVs
Reporting period unspecified · Snapshot read 2026-10-11Scope & method

Enter your average order value to see where it sits.

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Within Software & Technology Platforms

More in this industry. 12

Software revenue metricsACV · MRR · ARPU

These describe contract and recurring revenue economics. The purchase AOV benchmark above measures order value.

MRRMonthly recurring revenue

Subscription revenue normalized to one month across a business. One-time charges are excluded.

MRR = sum of monthly recurring subscription amounts

Stripe · Monthly recurring revenue
ARPUAverage revenue per user

Revenue per user over a defined period. For subscription comparisons here, the denominator is active paying subscribers and the numerator is MRR.

Monthly subscription ARPU = MRR ÷ active paying subscribers

Stripe · Subscription ARPU
ACVAnnual contract value

The recurring value of one customer contract normalized to a year, excluding one-time charges. It measures contract size, not total company revenue.

ACV = recurring contract value ÷ contract duration in years

Stripe · Annual contract value
Questions, answered.AOV, context & using this research20 answers

In this category

Should input and output usage be treated as one flat software order?

Amazon Bedrock's pricing distinguishes model, input, output and inference options. Explain the actual billable units for the advertised workload. A token rate or account credit purchase is not a subscription's MRR or a customer's lifetime value.

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How should provisioned AI capacity be distinguished from on-demand usage?

Bedrock's purchase guide separates provisioned throughput and commitment choices. Keep capacity purchases and consumed usage distinct in commercial reporting. A capacity reservation does not establish how much the customer ultimately uses or earns from an application.

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Can a successful model demo count as a paying platform customer?

Vertex AI's generative pricing page defines charges around model requests and services used. Track demonstration use, production activation and billed consumption separately. A response from a trial workflow is not evidence of a paid production purchase.

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What should an AI platform ad demonstrate beyond a model name?

Bedrock lists models and different inference modes. Show a concrete input-to-output task and identify the advertised mode. Public capability and pricing documentation does not prove a universal task-success rate or a creative's advertising performance.

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Read the benchmark

What is the average order value benchmark for AI & Machine Learning Platforms?

The median account AOV for AI & Machine Learning Platforms is $31.13 USD. This is the middle account-level average order value in the benchmark.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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What is the typical AOV range in AI & Machine Learning Platforms?

The middle 50% of account AOVs runs from $11.52 to $143.31 USD. This is the interquartile range, not the minimum and maximum.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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What is the lower-quartile AOV?

The 25th-percentile account AOV is $11.52 USD. It marks the lower edge of the middle 50% of this distribution.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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What is the upper-quartile AOV?

The 75th-percentile account AOV is $143.31 USD. It marks the upper edge of the middle 50%, not a performance target.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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How is account AOV calculated for this benchmark?

Each account value is purchase ROAS multiplied by cost per purchase in USD. The benchmark reports the median and middle 50% of those account values. Accounts are counted once and receive equal weight.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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Put it in context

Is this the mean AOV across all orders?

No. It is the median of account-level average order values. Each account receives equal weight; it is not a pooled average of every order.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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What dates does this AOV benchmark cover?

The snapshot was read on 11 October 2026. The underlying reporting period was not supplied. The October 2026 label identifies the page edition, not the period in which the advertising results were measured.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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Which industry or subcategory does this benchmark cover?

This benchmark covers exact AI & Machine Learning Platforms classifications under Software & Technology Platforms. It excludes the parent industry and sibling subcategories.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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How can I compare my AOV with this benchmark?

Enter your AOV in USD in the comparison field above. It shows the difference from the median and whether your value falls below, within or above the middle 50%. Your entered amount stays on this page.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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Does an above-median AOV mean better advertising performance?

The comparison describes position in the account AOV distribution, not profitability. It is not a performance score.

USD · Equal-weight account aggregate. Snapshot read 11 October 2026; underlying reporting period not supplied.

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Software revenue metrics

What is MRR for a software business?

Subscription revenue normalized to one month across a business. One-time charges are excluded. MRR = sum of monthly recurring subscription amounts

Definitions only; no ACV, MRR or ARPU benchmark or measured correlation is supplied.

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What is ARPU for a software business?

Revenue per user over a defined period. For subscription comparisons here, the denominator is active paying subscribers and the numerator is MRR. Monthly subscription ARPU = MRR ÷ active paying subscribers

Definitions only; no ACV, MRR or ARPU benchmark or measured correlation is supplied.

Source Link to answer
What is ACV for a software business?

The recurring value of one customer contract normalized to a year, excluding one-time charges. It measures contract size, not total company revenue. ACV = recurring contract value ÷ contract duration in years

Definitions only; no ACV, MRR or ARPU benchmark or measured correlation is supplied.

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Does purchase AOV measure MRR, ARPU or ACV?

These describe contract and recurring revenue economics. The purchase AOV benchmark above measures order value.

Definitions only; no ACV, MRR or ARPU benchmark or measured correlation is supplied.

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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.

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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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Behind the numbers

Small print.
Clear boundaries.

Benchmark scope

Benchmark snapshot read 11 October 2026.

Equal-weight account aggregate · Reporting period not supplied

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. Comparison colors describe position in the account AOV distribution, not profitability. Your entered amount stays on this page.

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.

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External embedding stays locked during private review.

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