Security badges, guarantees, and credibility experiments. Learn which trust signals reduce purchase anxiety.
Across 9 trust experiments, 22% resulted in a statistically significant win.
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 trust testing strategy and avoid repeating experiments that have already been run.
Context: The primary call-to-action on the product isn't converting at its potential — design, copy, or placement may be the bottleneck.
Context: The primary call-to-action on the product isn't converting at its potential — design, copy, or placement may be the bottleneck.
Context: The headline on the product may not resonate with what users actually care about or address their top objections.
Context: Users on the listing don't feel confident enough to proceed — they need reassurance that their data and money are safe.
Context: Multi-step processes on the product can overwhelm users if they can't see how far along they are or how much is left.
Context: Friction during the checkout process causes users to abandon right when they're closest to converting.
Context: Friction during the checkout process causes users to abandon right when they're closest to converting.
Problem: The primary call-to-action on the product isn't converting at its potential — design, copy, or placement may be the bottleneck.
Problem: Friction during the product process causes users to abandon right when they're closest to converting.
Save your own experiments, get AI-powered test ideas, and build on patterns from 9+ real tests.
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