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Google Ads Benchmarks

Google Ads CTR 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

What CTR Measures

CTR = Clicks ÷ Impressions × 100

Data Status

Benchmark Dataset — In Verification, Not Yet Published

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.

Planned methodology

  • Segmented by industry, campaign type, device, and brand vs non-brand traffic — blended account-level averages are never published.
  • Median, 25th-percentile and 75th-percentile figures rather than one global average.
  • Only validated, dataset-backed figures are published — never estimated numbers.

Deltanoid 2026 India benchmark dataset

Internal dataset currently being cleaned, segmented and verified — no CTR figures published yet.

Third-party benchmarks

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

Why a Single “Average CTR” Is Misleading

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.

IndustryCampaign typeSearch intentBrand awarenessKeyword match typeAd positionCompetitionDeviceGeographyAudienceCreative quality

How CTR Should Be Segmented

CTR Only Means Something Within a Comparable Segment

By Industry

Spa & wellness, education, hospitality, local services and B2B services all see different CTR ranges because customer behaviour and competition differ.

Brand vs Non-Brand

Brand-search campaigns typically post materially higher CTRs than non-brand prospecting — blending the two inflates account-level averages.

By Device

Mobile, desktop and tablet users behave differently. Device-level CTR should always be read alongside conversion rate and CPL/CPA.

By Campaign Type

Search, Shopping, Performance Max and Display draw from different inventory — a single blended CTR benchmark across all four is not meaningful.

Worked Example

Can a High CTR Be Bad?

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.

See how CTR compares against conversion rate benchmarks →

Using This Page

How to Evaluate Your Own CTR

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

What Not to Infer From This Page

  • There is no single meaningful global average CTR — comparisons only make sense within a comparable segment.
  • CTR is not the primary business objective. Campaigns should ultimately be optimized toward business outcomes — qualified leads, sales, bookings, revenue, profit, customer acquisition cost and return on advertising spend. Increasing CTR while decreasing conversion quality is not an improvement.
  • A high CTR can coexist with a very low conversion rate — that combination often points to clickbait-style copy, broad targeting or a weak landing page rather than a healthy campaign.
  • The worked example above is illustrative arithmetic, not a benchmark.

FAQ

Frequently Asked Questions

Compare Your CTR With Real Campaign Data

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.