Use competitor-search benchmarks to compare conquest campaigns against brand and non-brand Search without assuming they should convert the same way. CTR, CPC, CPA, conquest efficiency, and assisted pipeline quality on competitor queries.
Competitor search benchmarks for Google Ads covering conquest CTR, CPC pressure, CPA tradeoffs, and conversion quality when campaigns target alternative brands.
| Context | Median | Top Quartile | Best For |
|---|---|---|---|
| Direct Competitor Terms | 4.1% | 6.5% | Stealing active category evaluators |
| Alternative / Versus Terms | 5.4% | 8.0% | Users already comparing options |
| Offer-Led Conquest | 4.8% | 7.3% | Discounts, migration offers, and switching incentives |
| Enterprise Competitor Terms | 2.9% | 4.6% | Long-cycle deals with heavier evaluation friction |
These top-level pages work best when they explain why benchmark ranges shift before a user drills into the narrower benchmark route.
| Driver | Impact |
|---|---|
| How much explicit comparison intent exists versus simple branded navigation to another company | CTR, CPC, CPA, conquest efficiency, and assisted pipeline quality on competitor queries. |
| How aggressively the competitor and category are bidding back against conquest traffic | CTR, CPC, CPA, conquest efficiency, and assisted pipeline quality on competitor queries. |
| Whether the landing page clearly explains why the switch is worth the friction | CTR, CPC, CPA, conquest efficiency, and assisted pipeline quality on competitor queries. |
| How much longer the sales cycle becomes when users are leaving an incumbent solution or brand preference | CTR, CPC, CPA, conquest efficiency, and assisted pipeline quality on competitor queries. |
Competitor search benchmarks for Google Ads covering conquest CTR, CPC pressure, CPA tradeoffs, and conversion quality when campaigns target alternative brands.
Use competitor-search benchmarks to compare conquest campaigns against brand and non-brand Search without assuming they should convert the same way.
Use competitor-search benchmarks to compare conquest campaigns against brand and non-brand Search without assuming they should convert the same way.
Use competitor-search benchmarks to compare conquest campaigns against brand and non-brand Search without assuming they should convert the same way.
Use competitor-search benchmarks to compare conquest campaigns against brand and non-brand Search without assuming they should convert the same way.
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 often more expensive? Because they face higher click resistance, stronger auction pressure, and a harder trust transfer than users who already wanted your brand.
They be merged into non-brand Search averages? No. Comparison intent, CPC pressure, and conversion friction are distinct enough to deserve their own benchmark layer.