Variant comparison
Compare any number of variants side by side. See impressions, conversions, and conversion rate for each variant in a clean table.
A/B Testing
A/B test any part of your site. Built-in chi-squared test with Yates' correction automatically calculates statistical significance at 95% confidence.
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Live A/B testing demo — real experiment data
A/B Testing
experiment event from your code — name your experiment and which variant the user saw — and BuddyStat handles the rest. Per-variant impressions, conversions, and conversion rates are shown in a clean comparison table.Capabilities
Compare any number of variants side by side. See impressions, conversions, and conversion rate for each variant in a clean table.
Built-in chi-squared test with Yates' correction automatically calculates whether your results are statistically significant at 95% confidence.
Choose which custom event counts as a conversion. Whether it's a purchase, sign-up, or button click, select the event that matters for your experiment.
When a variant reaches 95% confidence, BuddyStat automatically marks it as the winner. No manual calculations or guesswork.
Give your experiments clear names for easy reference. Run multiple tests simultaneously without confusion.
See experiment results update in real time as data comes in. Monitor progress, spot trends, and make decisions faster.
Getting Started
Create your A and B variants in your app. Add `buddystat.event('experiment', { experiment: 'my-test', variant: 'A' })` to your code to track which variant each user sees.
Choose which custom event counts as a successful conversion. This could be a purchase, form submission, button click, or any other event you're already tracking.
BuddyStat automatically collects impressions and conversions for each variant. The chi-squared test runs continuously, comparing variant performance.
Open the Experiments dashboard to see which variant is winning. When a variant reaches 95% statistical significance, it's marked as the winner. Deploy the winner with confidence.
Use Cases
Test UI changes, feature placements, and onboarding flows to see which versions drive better user engagement and conversions.
A/B test landing pages, CTA copy, and campaign creatives. Know which version converts before you scale your spend.
Run experiments on your pricing page, sign-up flow, or feature highlights. Data-driven decisions, not gut feelings.
Systematically optimize every step of the user journey. Test hypotheses, measure results, and iterate with confidence.
Validate design decisions with real user data. Test layout variations, color schemes, and interaction patterns.
Replace expensive A/B testing tools (Optimizely, VWO) with built-in experiments. Same statistical rigor, zero additional cost.
FAQ
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Built-in A/B testing with statistical significance. Replace Optimizely and VWO with zero additional cost.
7-day free trial. Cancel anytime.