What sample size do I need for Cyber Monday tests?
Muhammed Tüfekyapan
Founder & CEO
TL;DR - Quick Answer
Complete Expert Analysis
Sample Size for Cyber Monday A/B Tests
Underpowered tests are worse than no tests - they give you false confidence in conclusions that aren't statistically valid. Running a test for 3 days and calling a winner is one of the most common (and costly) testing mistakes.
Sample Size Calculator
| Current CVR | Detecting 10% Lift | Detecting 20% Lift | Detecting 30% Lift |
|---|---|---|---|
| 1% | ~100,000 sessions/variant | ~25,000 | ~11,000 |
| 2% | ~50,000 sessions/variant | ~12,500 | ~5,500 |
| 3% | ~33,000 sessions/variant | ~8,200 | ~3,600 |
| 5% | ~20,000 sessions/variant | ~5,000 | ~2,200 |
Practical Implications
- - For small stores (under 5,000 monthly sessions): focus tests on big changes (offer type), not small ones (button color)
- - Run tests for minimum 2 weeks to capture day-of-week effects
- - A 15%+ relative conversion lift is detectable in 2 weeks for stores with 2,000+ sessions/week
- - Use a sample size calculator (Evan Miller's is free) before starting any test
Growth Suite Integration
Growth Suite's A/B Testing Module tracks statistical confidence automatically and alerts you when a test has reached significance. You don't need to manually calculate sample sizes or check daily - the module flags when you have a reliable winner, preventing both premature conclusions and unnecessarily long tests.
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With over a decade of experience in e-commerce optimization, Muhammed founded Growth Suite to help Shopify merchants maximize their conversion rates through intelligent behavior tracking and personalized offers. His expertise in growth strategies and conversion optimization has helped thousands of online stores increase their revenue.
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