Comment utiliser : A/B Test Sample Size Calculator
- Enter your current conversion rate.
- Choose the smallest relative change that would matter to you.
- Keep 95% confidence and 80% power unless you have a reason to change them.
- Add daily visitors to see how long the test will take.
The two numbers that matter
Minimum detectable effect is the smallest lift you care about. Smaller effects need far more visitors: halving it needs roughly four times the traffic. Power is the chance of spotting a real effect of that size, and 80% is the common standard.
How it’s calculated
This tool uses the standard formula for comparing two proportions with a two-sided test. Results are per version, so multiply by the number of versions for the total.
When the test ends, check the result with the A/B Test Significance Calculator.
Aussi recherché comme : ab test sample size calculator, sample size calculator, ab test duration calculator, how long to run ab test, minimum detectable effect, split test sample size.
Outils complémentaires : A/B Test Sample Size Calculator
- CTR Calculator — Enter clicks and impressions to get your click-through rate, for ads, email or Search Console.
- Calculateur de pourcentage — Sept calculs de pourcentage courants sur une seule page.
- UTM Builder — Add utm_source, utm_medium, utm_campaign and friends to any link, see which GA4 channel the visit will land in, and tag a whole list of URLs at once.
- GA4 Event Code Generator — Pick a recommended GA4 event — generate_lead, sign_up, purchase, add_to_cart and more — or name your own, fill in the parameters and items, and copy the code as gtag(), a Tag Manager dataLayer.push() or a server-side Measurement Protocol request.