Benchmark Page Index

Use this page as the crawl and navigation map for the benchmark library before drilling into a specific channel, metric, industry, or agency page.

Last updated March 2026

Core Benchmark Hubs

Start with channels, industries, metrics, countries, regions, conversion types, audiences, funnel stages, objectives, and asset types.

PointDetail
Core Benchmark HubsStart with channels, industries, metrics, countries, regions, conversion types, audiences, funnel stages, objectives, and asset types.

Decision Pages

Comparison pages, best-channel pages, and agency comparison pages bridge broad benchmark discovery into high-intent planning decisions.

PointDetail
Decision PagesComparison pages, best-channel pages, and agency comparison pages bridge broad benchmark discovery into high-intent planning decisions.

Trust Pages

Methodology, data quality, editorial standards, data collection, and update-policy pages explain how to interpret the numbers safely.

PointDetail
Trust PagesMethodology, data quality, editorial standards, data collection, and update-policy pages explain how to interpret the numbers safely.

Why This Page Matters

A human-readable index of Benchmarketing benchmark pages by channels, industries, metrics, comparisons, agencies, and methodology support pages.

E-E-A-T support

Support pages strengthen benchmark credibility and give users a trustworthy explanation of the data model.

Internal linking bridge

These pages should connect core benchmark hubs, definitions, and comparison themes so no important page becomes orphaned.

What This Support Layer Should Do

  1. Core Benchmark Hubs — Start with channels, industries, metrics, countries, regions, conversion types, audiences, funnel stages, objectives, and asset types.
  2. Decision Pages — Comparison pages, best-channel pages, and agency comparison pages bridge broad benchmark discovery into high-intent planning decisions.
  3. Trust Pages — Methodology, data quality, editorial standards, data collection, and update-policy pages explain how to interpret the numbers safely.

How Benchmarketing reads these benchmarks

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), Benchmarketing Platform Data (2023–2024). 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.

Frequently asked questions

Why does benchmark page index?

It helps users understand the benchmark context, data quality, and practical interpretation before they apply a target to real campaigns.

How should I use benchmark page index?

Use it as a trust and decision layer, then move into the specific channel, metric, industry, or comparison page that matches your question.

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