Paid Search Benchmarks 2026

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.

Last updated March 2026

Benchmark Snapshot

Platforms5Google, Microsoft, Apple, Amazon, Baidu
Core FocusIntent Capture
Primary MetricsCTR · CPC · CPA

Paid Search Benchmarks Snapshot

Top-level paid search benchmarks for Google Ads, Microsoft Ads, shopping, Performance Max, brand search, non-brand search, and remarketing contexts.

ContextMedianTop QuartileBest For
Brand Search12.8%21.4%Bottom-funnel demand capture and efficient branded traffic
Non-brand Search4.2%7.8%Net-new high-intent demand generation
Shopping1.6%3.1%Feed-led ecommerce revenue capture
Performance Max1.2%2.4%Blended coverage across shopping, local, and assisted conversion paths
Remarketing / RLSA8.1%13.7%Warm-demand recapture and cheaper conversion efficiency

CTR, CPC, CPA, conversion rate, impression share, and query-intent context.

What Moves Paid Search Benchmarks

The factors that most often explain why a result lands above or below the range.

Driver
Query intent and the line between branded, non-brand, and competitor demand
Network and campaign type, especially Search vs Shopping vs Performance Max
Landing-page relevance, offer clarity, and post-click conversion friction
Auction pressure, impression share loss, and budget constraints by geography

How to Use Paid Search Benchmarks

  1. Separate brand, non-brand, shopping, and Performance Max benchmarks before setting one search target.
  2. Use impression share, CPC, and conversion rate together so rising CPC does not hide lost demand capture.
  3. Judge paid-search results against industry and conversion-type benchmarks so intent is measured against the right commercial outcome.

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), AdLiftr Snapchat Ads Cost Benchmarks (2026), Ad Badger Amazon Advertising Benchmarks (2026). 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

What should paid search benchmarks explain?

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.

Why do paid search families need their own hub?

Because search, shopping, Performance Max, and remarketing behave very differently even when they sit inside the same platform.

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