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Vendor reportLocaliQ, 2026

Search ad click-through rates were almost flat overall (−0.3%), but moved from +31.71% in Education to −19.08% in Health and Fitness

Channel validation


IndustryCTR change YoY (%)
Animals & Pets13.83%
Apparel/Fashion & Jewelry-1.92%
Arts & Entertainment-2.67%
Attorneys & Legal Services-1.68%
Automotive (For Sale)-0.12%
Automotive (Repair, Service & Parts)0%
Beauty & Personal Care18.21%
Business Services7.96%
Career & Employment-10.5%
Dentists & Dental Services4.04%
Education & Instruction31.71%
Finance & Insurance18.01%
Furniture7.53%
Health & Fitness-19.08%
Home & Home Improvement1.57%
Industrial & Commercial5.46%
Personal Services-6.89%
Physicians & Surgeons-1.78%
Real Estate-9.73%
Restaurants & Food-9.89%
Shopping, Collectibles & Gifts-7.17%
Sports & Recreation-4.79%
Travel6.76%

Year-over-Year Percentage Change in Average Click-Through Rate by Industry (2026 vs 2025)

Reader Note:
These are year-over-year changes in the average click-through rate, 2026 vs 2025, not the CTRs themselves. LocaliQ notes that the wider market has seen falling click-through rates, and credits its own optimization tools for keeping its clients’ rates stable, so these figures may not match the market. The data comes from 13,474 LocaliQ client search campaigns on Google and Microsoft Ads, and the report does not say how many campaigns sit behind each industry.
Evidence:
Observed behaviour
Vendor interest:
Moderate — This comes from a company with a commercial interest in this market, so it is not a neutral source.
Sample:
13,474 LocaliQ customer search advertising campaigns running from April 2025 through March 2026; campaign data from accounts using LocaliQ's platform, with aggregate budget split roughly 80-85% Google and 15-20% Microsoft. US campaigns only, and each industry subcategory included at least 52 unique active campaigns. The published figures are medians rather than means, calculated that way to limit the effect of outliers, even though the report labels them averages throughout.

Good for

Comparing yourself against a similar segment, and choosing what to test next.

Not for

  • Saying that one thing caused another, or predicting what you would get.
  • This was measured in one market. It may not hold where you are.
  • This comes from a company with a commercial interest in this market, so it is not a neutral source.
  • This is an aggregated or average number that covers very different cases. Real results in a particular segment may differ.

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