Use Google Ads campaign-type benchmarks to separate query-led Search from feed-led Shopping, blended Performance Max, and warmer remarketing traffic before you judge efficiency. CTR, CPC, CPA, conversion rate, impression share, and control-by-campaign-type context.
Google Ads campaign-type benchmarks for Search, Shopping, Performance Max, remarketing, and display so teams stop setting one blended target across very different systems.
| Context | Median | Top Quartile | Best For |
|---|---|---|---|
| Search Campaigns | 6.1% | 9.8% | High-intent demand capture with keyword control |
| Shopping Campaigns | 1.6% | 3.1% | Feed-led ecommerce revenue capture |
| Performance Max | 1.2% | 2.4% | Cross-surface automation with blended reach |
| Remarketing / RLSA | 8.1% | 13.7% | Warm-demand recapture and branded assistance |
| Display | 0.3% | 0.8% | Awareness support and lower-intent reach expansion |
These top-level pages work best when they explain why benchmark ranges shift before a user drills into the narrower benchmark route.
| Driver | Impact |
|---|---|
| The amount of intent each campaign type can capture directly instead of creating or assisting demand | CTR, CPC, CPA, conversion rate, impression share, and control-by-campaign-type context. |
| How much control the advertiser keeps over keywords, placements, budgets, and creative inputs | CTR, CPC, CPA, conversion rate, impression share, and control-by-campaign-type context. |
| Whether the campaign depends on feeds, asset coverage, or historical conversion data to perform | CTR, CPC, CPA, conversion rate, impression share, and control-by-campaign-type context. |
| How much the channel is serving cold traffic versus warm or returning users | CTR, CPC, CPA, conversion rate, impression share, and control-by-campaign-type context. |
Google Ads campaign-type benchmarks for Search, Shopping, Performance Max, remarketing, and display so teams stop setting one blended target across very different systems.
Use Google Ads campaign-type benchmarks to separate query-led Search from feed-led Shopping, blended Performance Max, and warmer remarketing traffic before you judge efficiency.
Use Google Ads campaign-type benchmarks to separate query-led Search from feed-led Shopping, blended Performance Max, and warmer remarketing traffic before you judge efficiency.
Use Google Ads campaign-type benchmarks to separate query-led Search from feed-led Shopping, blended Performance Max, and warmer remarketing traffic before you judge efficiency.
Use Google Ads campaign-type benchmarks to separate query-led Search from feed-led Shopping, blended Performance Max, and warmer remarketing traffic before you judge efficiency.
They be benchmarked separately? Because Search, Shopping, Performance Max, and remarketing capture different intent and use different optimization systems, so one blended target usually hides where efficiency is actually coming from.
They do? They should connect the main Google Ads page to exact campaign pages like Search and Performance Max, then on to the creative systems driving those campaigns.