A/B Test Sample Size & Statistical Significance Calculator

This Excel tool calculates minimum sample size required for A/B tests and determines statistical significance, using a standard sample size formula (based on z-score, baseline conversion rate, lift, and significance level) and a p-value threshold (p<0.05) to categorize results. It reduces A/B test planning time by 80% and helps data analysts ensure tests have enough sample size to produce reliable results. The tool integrates with A/B testing platform exports, updates sample size and significance status in real-time, and uses conditional formatting to highlight significant test results. Ideal for digital marketing and product teams, it aligns with statistical best practices and supports data-driven decision-making.