🧪
Variant B wins! 4.2% vs 3.1% — statistically significant at 95% confidence
+35.5% lift · p-value: 0.003 · 10,000 total visitors · Clear winner
95%
Confidence
📊
Confidence
95%
Statistical
📈
Lift
+35.5%
B vs A
🎯
P-Value
0.003
Probability
✅
Verdict
YES
Significant
🅰️ Control (A)
Conversion Rate
3.10%
🅱️ Variant (B)
Conversion Rate
4.20%
Confidence Level
📏 Sample Size Calculator
How many visitors do you need?
📋 Test Log
Track all your A/B tests
| Date | Control | Variant | Lift | Significant? |
|---|
📊 Industry Benchmarks
| Test Type | Typical Lift | Min Sample | Duration |
|---|---|---|---|
| Headline change | 5-20% | 2,000+ | 1-2 weeks |
| CTA button color | 2-10% | 5,000+ | 2-3 weeks |
| Pricing page layout | 10-40% | 1,000+ | 1-2 weeks |
| Email subject line | 10-30% | 1,000+ | 1 send |
| Landing page redesign | 15-50% | 3,000+ | 2-4 weeks |
| Checkout flow | 5-25% | 2,000+ | 2-3 weeks |
Conversion Comparison
Confidence Meter
Sample Progress
Lift Distribution
A/B Test Report
CreatorSystemLab ·
📖
How To Use
Get clear YES/NO answers on your tests
🚀 Steps
1
Enter Results
Visitors and conversions for A and B.
2
Get Your Verdict
Instant YES/NO with confidence level.
3
Ship or Keep Testing
If significant, ship it. If not, need more data.
📊 Key Concepts
95% confidence: Industry standard. 5% chance of false positive.
P-value < 0.05: Result is statistically significant.
Lift: % improvement of B over A.
Sample size: More data = more reliable results.
🔒 100% private. Data stays on your device.