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Personalization A/B Test Results

Audience segmentation and personalized experience experiments. See how targeting impacts conversion rates.

12
Experiments
42%
Win rate
+75.6%
Avg. winner lift
5
Winners found

Key Findings: Personalization A/B Tests

Across 12 personalization experiments, 42% resulted in a statistically significant win. Winning variants saw an average lift of +75.6%.

7 experiments were inconclusive, meaning the difference between control and variant was not statistically significant. Inconclusive results are still valuable — they tell you what doesn't move the needle, so you can focus testing effort elsewhere.

These results come from real A/B tests with sample sizes ranging from hundreds to millions of visitors. Use them to inform your own personalization testing strategy and avoid repeating experiments that have already been run.

Outcome Breakdown

All 12 Experiments

inconclusive

Product: Cart Reminder And Recently Viewed on Product Page

Context: The primary call-to-action on the product isn't converting at its potential — design, copy, or placement may be the bottleneck.

PersonalizationCross-Industryn=2,131
inconclusive

Listing: Onboarding Callouts

Context: The registration experience on the listing asks too much too soon, causing potential users to drop off.

PersonalizationCross-Industryn=159,569
inconclusive

Listing: Search Keyword Highlighting

Context: Users can't quickly find relevant products or content on the listing, leading to frustration and early exits.

PersonalizationCross-Industryn=738,295
inconclusive

Checkout: Auto Suggest

Context: Friction during the checkout process causes users to abandon right when they're closest to converting.

PersonalizationCross-Industryn=4,735
inconclusive

Product: Personalized Next Step

Context: A one-size-fits-all product experience underperforms compared to content tailored to the visitor's context and intent.

PersonalizationCross-Industry
winner+350.0%

Homepage: Visitor Segmentation by User Type

Problem: Users on the homepage need validation from others before committing — without visible proof of success, they hesitate.

PersonalizationE-commerce
inconclusive+35.0%

General: Personalized Experiences Generate 41% Higher Impact Than Generic

Principle: Personalization — even basic segmentation by traffic source, device, or returning vs new visitor

PersonalizationCross-Industry
winner+10.0%

Homepage: Cart Resume for Returning Drop-Off Users

Problem: Visual elements on the homepage aren't doing enough to communicate value, build trust, or guide users toward the next step.

PersonalizationE-commerce
inconclusive+7.5%

Product-listing: Plans Page: User-Focused Filter Language Increases Plan Selection

Context: Coupon and promo code fields on product-listings can distract users — they leave to hunt for codes, reducing completion rates.

PersonalizationEnergy & Utilities
winner+7.5%

Thank you: Personalized Next Step

Problem: Each additional form field adds friction to the thank you, increasing the chance users abandon before completing their submission.

PersonalizationE-commercen=21,910
winner+7.5%

Signup: Cart Reminder And Recently Viewed

Problem: Each additional form field adds friction to the signup, increasing the chance users abandon before completing their submission.

PersonalizationFintechn=155,342
winner+3.0%

Homepage: Recently Viewed Products for Returning Users

Problem: Friction during the homepage process causes users to abandon right when they're closest to converting.

PersonalizationE-commerce

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