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A/B Test Significance Calculator

Did version B really win, or was it luck? Enter visitors and conversions for both versions to get a clear answer, with the p-value, uplift and confidence range.

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Cómo usar: A/B Test Significance Calculator

  1. Enter the visitors and conversions for version A, your control.
  2. Enter the same for version B.
  3. Pick a confidence level. 95% is the usual choice.
  4. Read the result, then check the p-value and the range of the difference.

What statistical significance means

Random variation means two identical pages rarely show identical rates. A significance test asks how likely a difference this large would be if the versions performed the same. That chance is the p-value. At 95% confidence, a result counts as significant when the p-value is below 0.05.

How it’s calculated

This tool uses a two-sided, two-proportion z-test. The formula is z = (rate B − rate A) ÷ √(p(1 − p)(1/visitors A + 1/visitors B)), where p is the combined conversion rate.

Avoid common mistakes

  • Don’t stop early. Checking daily and stopping at the first significant result produces false winners.
  • Plan your sample. Use the A/B Test Sample Size Calculator before you start.
  • Run full weeks. Weekday and weekend visitors behave differently.

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Herramientas que combinan con: A/B Test Significance Calculator

  • CTR Calculator — Enter clicks and impressions to get your click-through rate, for ads, email or Search Console.
  • ROAS Calculator — See what each ad dollar brings back.
  • 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.
  • Calculadora de porcentajes — Siete cálculos porcentuales cotidianos en una sola página.

Preguntas frecuentes

Is anything I enter saved or sent?
No. The calculation runs in your browser. Your last inputs are remembered on this device only, so the page opens where you left off.
What p-value is good for an A/B test?
Below 0.05 is the usual standard, which matches 95% confidence. Use 0.01 for high-stakes changes.
Is 95% confidence the chance that B is better?
Not exactly. It means that if there were no real difference, a result this extreme would appear less than 5% of the time.
Why is my result not significant?
Usually the sample is too small for the size of the difference. Keep the test running to your planned sample size.
¿Puedo instalar A/B Test Significance Calculator como aplicación web y utilizarla sin conexión?
Sí. A/B Test Significance Calculator es una aplicación web instalable (PWA): se instala desde el navegador, no se descarga desde una tienda de aplicaciones. Haz clic en «Instalar aplicación» en la parte superior de esta página en Chrome o Edge (Windows, macOS, Linux, ChromeOS) o, en Android, utiliza «Compartir» → «Añadir a la pantalla de inicio» en iPhone y iPad, o «Archivo» → «Añadir al Dock» en Safari 17+ en un Mac. A continuación, se abrirá en su propia ventana con su propio icono y, como se ejecuta íntegramente en tu navegador, seguirá funcionando sin conexión. Firefox en el ordenador de sobremesa no permite instalar aplicaciones web. Cómo funciona la instalación.

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