Use paid search benchmarks to separate active demand capture from broad acquisition, then set targets by query intent, campaign type, and commercial role. CTR, CPC, CPA, conversion rate, impression share, and query-intent context.
Top-level paid search benchmarks for Google Ads, Microsoft Ads, shopping, Performance Max, brand search, non-brand search, and remarketing contexts.
| Context | Median | Top Quartile | Best For |
|---|---|---|---|
| Brand Search | 12.8% | 21.4% | Bottom-funnel demand capture and efficient branded traffic |
| Non-brand Search | 4.2% | 7.8% | Net-new high-intent demand generation |
| Shopping | 1.6% | 3.1% | Feed-led ecommerce revenue capture |
| Performance Max | 1.2% | 2.4% | Blended coverage across shopping, local, and assisted conversion paths |
| Remarketing / RLSA | 8.1% | 13.7% | Warm-demand recapture and cheaper conversion efficiency |
These top-level pages work best when they explain why benchmark ranges shift before a user drills into the narrower benchmark route.
| Driver | Impact |
|---|---|
| Query intent and the line between branded, non-brand, and competitor demand | CTR, CPC, CPA, conversion rate, impression share, and query-intent context. |
| Network and campaign type, especially Search vs Shopping vs Performance Max | CTR, CPC, CPA, conversion rate, impression share, and query-intent context. |
| Landing-page relevance, offer clarity, and post-click conversion friction | CTR, CPC, CPA, conversion rate, impression share, and query-intent context. |
| Auction pressure, impression share loss, and budget constraints by geography | CTR, CPC, CPA, conversion rate, impression share, and query-intent context. |
Top-level paid search benchmarks for Google Ads, Microsoft Ads, shopping, Performance Max, brand search, non-brand search, and remarketing contexts.
Use paid search benchmarks to separate active demand capture from broad acquisition, then set targets by query intent, campaign type, and commercial role.
Use paid search benchmarks to separate active demand capture from broad acquisition, then set targets by query intent, campaign type, and commercial role.
Use paid search benchmarks to separate active demand capture from broad acquisition, then set targets by query intent, campaign type, and commercial role.
Use paid search benchmarks to separate active demand capture from broad acquisition, then set targets by query intent, campaign type, and commercial role.
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 should explain how benchmark expectations change by query intent, campaign type, and downstream conversion quality instead of forcing one universal CTR or CPA target.
They need their own hub because search, shopping, Performance Max, and remarketing behave very differently even when they sit inside the same platform.