Google Ads Benchmarks
A good Google Ads click-through rate is one that shows your ads are relevant enough to earn clicks from the right users — without attracting low-intent traffic that never converts. There is no universal “good CTR.”
Short Answer
Average CTR varies by industry, campaign type, geography, device, keyword intent and brand demand. There is no single meaningful global average — comparisons only make sense within a comparable segment.
Until Deltanoid's segmented dataset is published, this page explains how to interpret CTR correctly — and what a blended global average would hide.
Definition
CTR = Clicks ÷ Impressions × 100
Data Status
Deltanoid is compiling median, 25th-percentile and 75th-percentile CTR figures — segmented by industry, campaign type, device, and brand vs non-brand traffic — from accounts in our 2026 India benchmark dataset. We publish only validated, dataset-backed figures rather than estimated numbers, so benchmark figures appear here once the underlying data has been cleaned, segmented and verified.
Internal dataset currently being cleaned, segmented and verified — no CTR figures published yet.
None cited. This page does not reproduce external benchmark tables or unsourced industry figures.
Coverage: Google Ads accounts in Deltanoid's 2026 India benchmark dataset. No sample sizes or account counts are published until the dataset itself is published.
Looking for the full methodology and dataset behind these benchmarks? Request a free account audit and we'll show you exactly where your account sits once the published dataset goes live — plus a same-day breakdown of your own CTR by campaign, device and search term.
No Single National Number
Click-through rates vary significantly by industry, campaign type, search intent, brand awareness, keyword match type, ad position, competition, device, geography, audience and creative quality. Comparing your CTR against a generic global figure can send you in the wrong direction.
How CTR Should Be Segmented
Spa & wellness, education, hospitality, local services and B2B services all see different CTR ranges because customer behaviour and competition differ.
Brand-search campaigns typically post materially higher CTRs than non-brand prospecting — blending the two inflates account-level averages.
Mobile, desktop and tablet users behave differently. Device-level CTR should always be read alongside conversion rate and CPL/CPA.
Search, Shopping, Performance Max and Display draw from different inventory — a single blended CTR benchmark across all four is not meaningful.
Worked Example
Illustrative example — hypothetical arithmetic, not a benchmark.
The headline number: a 10% CTR — 100,000 impressions producing 10,000 clicks — looks excellent. What it hides: a 0.5% conversion rate, meaning only 50 conversions from those 10,000 clicks.
High CTR can hide clickbait-style ad copy, broad targeting, weak landing pages, pricing mismatch, low-quality traffic and branded-traffic inflation. CTR should always be evaluated within the complete funnel: Impression → Click → Conversion → Qualified Lead → Customer → Revenue.
Using This Page
Improve keyword segmentation around tightly related intent
Match ad copy directly to search intent
Strengthen your offer and differentiation
Use specific headlines instead of generic claims
Improve Google Ads assets — sitelinks, callouts, structured snippets, images
Review search terms and remove irrelevant queries
Separate brand and non-brand campaigns for reporting clarity
Test ad variations against both engagement and downstream conversion performance
Limitations
Related Benchmarks
Related Tools
FAQ
Generic CTR averages provide limited context. Compare your campaign against relevant benchmarks, then evaluate whether those clicks are producing conversions and customers at an acceptable acquisition cost.
