Compare paid search and shopping campaigns in Fashion & Apparel against sourced CTR ranges. No published Google Ads CTR figure exists for Fashion & Apparel, so the headline is a published (LocaliQ Search Advertising Benchmarks 2026, Apparel / Fashion & Jewelry), with quartiles taken from Google Ads's overall spread. Our sample sizes are not yet large enough for accurate statistics, so use these figures as direction, not the sole truth.
Google Ads CTR for Fashion & Apparel: an estimated median of 6.64%, top quartile 10.65%, bottom quartile 3.48%. This is a published: use it as direction, not the sole truth.
| Context | Median | Top Quartile | Best For |
|---|---|---|---|
| Fashion & Apparel on Google Ads (published) | 6.64% | 10.65% | Direction for this channel and industry until published data exists |
| Google Ads, all industries | 6.11% | 9.8% | A baseline when you need the whole-platform picture |
| Fashion & Apparel on Amazon Ads (average) | 0.38% | — | Comparing channels for the same industry |
The factors that most often explain why a result lands above or below the range.
| Driver | Why it matters |
|---|---|
| Query intent mix | Brand and high-intent queries convert and click far more often than broad research queries, so the share of each in a Google Ads account moves the result more than copy changes do. |
| Offer specificity | In Fashion & Apparel, ads with a concrete offer (price, availability, a clear next step) earn more clicks than general brand messaging. |
| Ad position and assets | Sitelinks, callouts, and top-of-page position change how much of the results page a Google Ads ad occupies, which moves CTR and CPC together. |
| Creative fatigue | CTR on Google Ads falls as the same people see the same ad repeatedly; frequency above a few impressions per week usually shows up here first. |
Half of the accounts in the benchmark group do better than 6.64% and half do worse. It is a realistic first target.
The better-performing quarter of accounts reach 10.65% or higher. Treat it as a stretch goal once the basics are in place.
Results around 3.48% usually point to a tracking, targeting, or offer problem worth fixing before scaling spend.
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.
Our published puts the Fashion & Apparel median CTR on Google Ads at 6.64%, with stronger accounts at 10.65% or higher. No published figure exists for this exact combination yet, so treat it as direction rather than a precise target. For Fashion & Apparel on Amazon Ads the average is 0.38%.
The biggest factors are query intent mix and offer specificity. Brand and high-intent queries convert and click far more often than broad research queries, so the share of each in a Google Ads account moves the result more than copy changes do.