Control (A)
12.00%
Variant (B)
14.00%
No significativo
Relative improvement +16.67%
Z-score1.33
p-value0.1836
Required sample (80% power)47,048 visitantes/variante
Text & documents
Numbers & maths
Data & formats
Security
Development & DevOps
Artificial Intelligence
Finance
Health & Wellness
Productivity
Games & Entertainment
Multimedia & design
Business
How to use
What an A/B test is
Compares two versions (control A and variant B) using a two-proportion Z-test to tell whether the difference in conversion rate is statistically significant or just due to chance.
How to use it
For each group, enter the conversions (successes) and the total visitors. The result recalculates automatically as you type; conversions cannot exceed visitors.
Interpreting the result
The relative improvement shows how much B rises or falls compared with A. The p-value measures the probability that the difference is due to chance: below 0.05 it is 95% significant, and below 0.01, 99%. Only then is a winner declared.
Required sample size
Estimates the visitors per variant needed to detect a 5% improvement with 80% power. If your sample is smaller, the test is not yet conclusive even if you see differences.
