Benchmarks are only useful when they add context, not just numbers. This library is designed to explain what the data means and what to do next.
Start broad with hubs like channels, industries, metrics, or conversions, then move into the more specific benchmark for your exact channel, industry, or conversion.
| Key points |
|---|
| Use industry pages to calibrate targets |
| Use audience and funnel pages to interpret performance by intent |
| Use the methodology guides and glossary to understand the underlying metric logic |
A raw CTR, CPC, or ROAS figure means very little without the surrounding context of channel, industry, conversion type, audience, device, and funnel stage.
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.
They connect performance data with interpretation, tactical guidance, and related benchmarks instead of stopping at a single average.
Start with the broadest page that matches your question, then move into related industry, conversion, audience, or metric pages as needed.