Who it is for
Conversion rate optimizers, product marketers and growth teams running their own split tests.
Paste in your variant results — visitors, conversions, whatever you tracked per version — and this tool explains what the numbers show in plain language, flags whether the sample looks large enough to trust, and suggests a next test. It has no access to your testing platform; everything comes from what you paste in.
Conversion rate optimizers, product marketers and growth teams running their own split tests.
It flags weak sample sizes honestly instead of declaring a winner from a handful of conversions, and never invents a statistical significance figure it hasn't calculated from your numbers.
An illustrative brief and output written by our team to show the format. It is not a customer result and makes no performance claim.
Worked arithmetic
Verdict
Guided fields ask for product, audience and outcome — no prompt writing.
The AI A/B test analysis tool runs server-side with your saved brand voice applied.
Copy the structured output, or find it again in your searchable history.
It can reason about whether your sample size and conversion counts look sufficient to trust the result, using standard logic, but you should confirm with a dedicated significance calculator before making a big decision.
No — there's no integration. You paste in the results from whichever tool you used, and this tool interprets those numbers only.
It will say so plainly rather than forcing a winner, and will usually suggest either running longer or testing a bigger variant difference next time.
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