Traffic Split Test Tracker
Real statistical significance using two-proportion z-tests · p-value · 95% confidence intervals · Bonferroni correction · Revenue per visitor
Sample Size Calculator BEFORE YOU TEST
Enter your baseline metrics to find out how many visitors you need per variant before results are statistically valid.
Your current / control conversion rate
Smallest relative lift worth detecting (e.g. 20% = 3% → 3.6%)
Probability of detecting a real effect
False positive rate you can tolerate
Used to apply Bonferroni correction for multi-variant tests
Used to estimate test duration
% of total daily traffic going to each variant
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Visitors per variant
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Total visitors needed
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Est. days to significance
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Absolute lift being detected
Create New Test
Minimum relative improvement worth detecting
Current/expected control rate
Variants
LabelDescriptionVisitorsConversionsClicksRevenue ($)
You can enter visitor/conversion data now, or add it later via “Update Data”.
Claude AI Insights
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