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.
A raw CTR, CPC, or ROAS figure means very little without the surrounding context of channel, industry, conversion type, audience, device, and funnel stage.
| Point | Detail |
|---|---|
| Why Benchmarks Need Context | A raw CTR, CPC, or ROAS figure means very little without the surrounding context of channel, industry, conversion type, audience, device, and funnel stage. |
Start broad with hubs like channels, industries, metrics, or conversions, then move into more specific public benchmark pages only when the combination is distinct enough to be useful.
| Point | Detail |
|---|---|
| How to Use the Library | Use industry pages to calibrate targets |
| How to Use the Library | Use audience and funnel pages to interpret performance by intent |
| How to Use the Library | Use support pages and glossary entries to understand the underlying metric logic |
What Benchmarketing benchmark pages are designed to help marketers understand, compare, and improve across channels and contexts.
Support pages strengthen benchmark credibility and give users a trustworthy explanation of the data model.
These pages should connect core benchmark hubs, definitions, and comparison themes so no important page becomes orphaned.
They are designed to connect performance data with interpretation, tactical guidance, and adjacent benchmark context 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.