Run experiments, get answers
A/B test any part of your site. Built-in chi-squared test with Yates' correction automatically calculates statistical significance at 95% confidence.
Live A/B testing demo — real experiment data
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.What you can do
Variant comparison
Compare any number of variants side by side. See impressions, conversions, and conversion rate for each variant in a clean table.
Statistical significance
Built-in chi-squared test with Yates' correction automatically calculates whether your results are statistically significant at 95% confidence.
Conversion event picker
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.
Winner detection
When a variant reaches 95% confidence, BuddyStat automatically marks it as the winner. No manual calculations or guesswork.
Named experiments
Give your experiments clear names for easy reference. Run multiple tests simultaneously without confusion.
Real-time results
See experiment results update in real time as data comes in. Monitor progress, spot trends, and make decisions faster.
How it works
Set up your experiment
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.
Define your conversion event
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.
Let data accumulate
BuddyStat automatically collects impressions and conversions for each variant. The chi-squared test runs continuously, comparing variant performance.
Read your results
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.
Who uses this
Product teams
Test UI changes, feature placements, and onboarding flows to see which versions drive better user engagement and conversions.
Marketing teams
A/B test landing pages, CTA copy, and campaign creatives. Know which version converts before you scale your spend.
Startup founders
Run experiments on your pricing page, sign-up flow, or feature highlights. Data-driven decisions, not gut feelings.
Growth teams
Systematically optimize every step of the user journey. Test hypotheses, measure results, and iterate with confidence.
UX designers
Validate design decisions with real user data. Test layout variations, color schemes, and interaction patterns.
Data-driven teams
Replace expensive A/B testing tools (Optimizely, VWO) with built-in experiments. Same statistical rigor, zero additional cost.
Frequently asked questions
Related features
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