How we source, normalize, qualify, and publish benchmark data so every figure is useful and defensible.
Benchmarketing curates figures from vetted third-party benchmark studies and platform publications, then applies editorial normalization rules. Every benchmark needs a named source and a date range before it is published.
| Key points |
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| Platform-published benchmark data where available |
| Editorially reviewed third-party benchmark studies |
| Normalization rules for currencies, date ranges, and taxonomy mapping |
Not every benchmark combination gets its own page. A page needs enough data behind it and enough specific commentary to say something a broader benchmark does not.
| Key points |
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| Enough source data for the exact combination |
| A distinct question the page answers |
| Narrower combinations are shown within a broader benchmark |
Every benchmark page should show last-updated context, author or research ownership, review notes, and methodology links so users can understand where the numbers came from and how they should be interpreted.
The Benchmarketing 4-Band Method. The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.
Where the numbers come from. The figures on this page come from the Benchmarketing benchmark dataset — thousands of curated benchmark observations across channels, industries, and US metro areas. Every statistic traces to a named source: WordStream Google Ads Benchmarks (2024), Meta Business Insights (2024), HubSpot Email Marketing Report (2024), Unbounce Conversion Benchmark Report (2024), Databox Marketing Benchmark Report (2024), AdLiftr Snapchat Ads Cost Benchmarks (2026), Ad Badger Amazon Advertising Benchmarks (2026). Benchmarketing does not publish anonymous "studies show" figures.
The Benchmarketing position. Beating the cross-industry average is a vanity milestone, not a target. Compare your number to the P25–P75 band for your specific industry and channel; if you are above average but below your industry's P75, you are leaving performance on the table.
Whenever data sources, attribution assumptions, taxonomy coverage, or benchmark calculations change materially.
A page is only useful when there is enough data behind it to say something specific. Combinations without their own data are shown as part of a broader benchmark instead.