The A/B test calculator shows whether one creative or landing page really beats the other — or the gap is just noise. Enter visitors and conversions for two variants and get the confidence, p-value and a plain verdict.
Features
- Statistical significance at the 90, 95 or 99% level with a clear verdict: who wins and whether to switch off the loser.
- How much more traffic you need if the gap is not proven yet — in visitors and in budget.
- Test planning: sample size and duration before you launch.
- Protection from hasty calls: a warning when there are too few conversions.
- Share link — for a report to the team or a client.
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Google Ads agency accountsFAQ
What is statistical significance?
It is the probability that the difference between variants is not random. At 95% confidence the risk of picking the wrong winner is about 5%.
How many conversions does an A/B test need?
Aim for at least 20–30 conversions per variant, ideally 100 or more. The exact number depends on your conversion rate and the uplift you want to detect; the planning block works it out.
Can I stop the test early?
Better not: early results often flip. Wait for the planned traffic volume and a full weekly cycle.
More free PPC Rebels tools are on the Free Tools page.