Why Sample Size Matters
If you stop a test too early, you risk a "False Positive" (thinking a variation is a winner when it's actually random noise). If you run it too long, you waste traffic on a losing variation.
This calculator uses the standard Frequentist formula to determine the "Fixed Horizon" sample size. This means you must commit to this number of visitors before you look at the results.
The "Fixed Horizon" Problem
Traditional A/B testing is rigid. If you see a winner on Day 3, you are technically not allowed to stop until Day 20 (based on the calculator). This wastes money.
Zyro uses Sequential Bayesian Statistics. This modern approach allows you to check results daily and stop as soon as a winner is statistically proven, often cutting test duration by half.