Use affiliate benchmarks to compare partner-driven sales, commission efficiency, and incremental value without treating every publisher model like the same traffic source. Conversion rate, EPC, commission efficiency, incrementality, and partner-type differences.
Top-level affiliate marketing benchmarks for partner efficiency, commission economics, conversion quality, and publisher-type performance.
| Context | Median | Top Quartile | Best For |
|---|---|---|---|
| Content Publisher CVR | 2.6% | 4.8% | Editorial or review-led affiliate demand |
| Coupon / Deal CVR | 6.2% | 10.4% | Lower-funnel demand capture near purchase |
| Earnings Per Click | $0.74 | $1.46 | Partner-side monetization quality |
| Incremental Order Share | 18% | 31% | Separating truly incremental partners from demand interceptors |
These top-level pages work best when they explain why benchmark ranges shift before a user drills into the narrower benchmark route.
| Driver | Impact |
|---|---|
| Partner type, especially content, review, influencer, coupon, and network-specific models | Conversion rate, EPC, commission efficiency, incrementality, and partner-type differences. |
| Commission structure and whether incentives align with incremental growth | Conversion rate, EPC, commission efficiency, incrementality, and partner-type differences. |
| Brand demand dependence versus true new-customer creation | Conversion rate, EPC, commission efficiency, incrementality, and partner-type differences. |
| Landing-page quality and offer clarity once the partner click reaches the site | Conversion rate, EPC, commission efficiency, incrementality, and partner-type differences. |
Top-level affiliate marketing benchmarks for partner efficiency, commission economics, conversion quality, and publisher-type performance.
Use affiliate benchmarks to compare partner-driven sales, commission efficiency, and incremental value without treating every publisher model like the same traffic source.
Use affiliate benchmarks to compare partner-driven sales, commission efficiency, and incremental value without treating every publisher model like the same traffic source.
Use affiliate benchmarks to compare partner-driven sales, commission efficiency, and incremental value without treating every publisher model like the same traffic source.
Use affiliate benchmarks to compare partner-driven sales, commission efficiency, and incremental value without treating every publisher model like the same traffic source.
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.
They vary so much by publisher type because coupon and loyalty traffic usually behaves very differently from editorial or review-driven traffic.
Look at conversion rate, EPC, commission economics, and incremental order share together to understand whether the partner is actually creating value.