The benchmark library should feel measured and credible. This page explains how every page is reviewed before it is published.
Editorial review exists to make sure each benchmark page is useful, distinct, and fair. A page should add context, interpretation, and tactical direction instead of repeating a generic metric definition.
| Key points |
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| Check that the page has a distinct benchmark context |
| Confirm the explanation matches methodology and data confidence |
| Make sure recommendations are specific enough to help action |
Before a benchmark page is published, it has to show enough data, a clear explanation, and answers to the questions marketers actually ask. Thin or repetitive combinations are merged into a broader benchmark.
| Key points |
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| Enough benchmark rows or context to justify the page |
| Links to the methodology and related benchmarks |
| A clear next step for readers who want to compare their own numbers |
Review keeps the whole library consistent, so a figure on one page means the same thing as the same figure on another.
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.
To catch thin, duplicated, or poorly explained figures before they are presented as reliable benchmarks.
Whether the figures have enough context, whether the explanation is clear, and whether the page adds something a broader benchmark does not already say.