Registration and signup experiments including form optimization, social login, and onboarding.
Across 10 signup experiments, 20% resulted in a statistically significant win. Meanwhile, 1 test underperformed the control.
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 signup testing strategy and avoid repeating experiments that have already been run.
Context: Friction during the signup process causes users to abandon right when they're closest to converting.
Context: The registration experience on the signup asks too much too soon, causing potential users to drop off.
Context: The registration experience on the signup asks too much too soon, causing potential users to drop off.
Context: The registration experience on the signup asks too much too soon, causing potential users to drop off.
Context: The registration experience on the signup asks too much too soon, causing potential users to drop off.
Context: The registration experience on the signup asks too much too soon, causing potential users to drop off.
Context: The registration experience on the signup asks too much too soon, causing potential users to drop off.
Problem: The registration experience on the signup asks too much too soon, causing potential users to drop off.
Problem: The primary call-to-action on the signup isn't converting at its potential — design, copy, or placement may be the bottleneck.
Problem: Visual elements on the signup aren't doing enough to communicate value, build trust, or guide users toward the next step.
Save your own experiments, get AI-powered test ideas, and build on patterns from 10+ real tests.
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