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> Statistical significance assessment (Z-Test).
Explore the most common scenarios for A/B Calculator below. Each page is a focused calculator with worked examples and edge-case guidance.
Calculate statistical significance for A/B tests. Enter visitors and conversions for control and variant to determine if results are statistically significant.
Calculate SignificanceCalculate the minimum sample size needed for a statistically valid A/B test. Input baseline conversion rate, expected lift, and confidence level to get the required visitor count per variant.
Calculate Sample SizeCompare conversion rates between A/B test variants. Calculate relative and absolute uplift, win probability, and confidence intervals for your experiments.
Calculate UpliftCalculate the projected revenue impact of a winning A/B test variation. Estimate annualized revenue lift from conversion rate improvements.
Calculate Revenue ImpactSample Size
A/B test sample size calculator (Evan Miller formula).
ROAS Calculator
Calculate return on ad spend, break-even ROAS, CPA, CPC, and margin-aware paid acquisition thresholds.
ROI Calculator
Ad spend ROI and unit economics calculator.
GA4 Event Naming AI
Build GA4 event names and parameter schemas for reliable measurement plans.