Determine the winning variation of your A/B tests with statistical significance calculator. Calculate lift, Z-score, and confidence levels.
Lift
30.0%
A/B testing (split testing) is a method of comparing two versions of a webpage, app, or other product experience to determine which one performs better. You split your audience into two groups - one sees version A (control) and the other sees version B (variant).
Original/Control
Variant/Test
Statistically Significant
Confidence that results are not due to chance. Aim for 95%+
Percentage of users who complete desired action
Percentage improvement of variant over control
Number of visitors needed for reliable results
Probability results are due to chance (lower is better)
1 - p-value, typically 95% or higher
Change only one element at a time
Collect enough data before concluding
Test with actual target audience
Don't stop test early if results look good