Multi-Variant Testing
Not just A/B. Test 3, 4, or 5 variants at the same time. Powerful statistical analysis included.
- ◆ A/B, A/B/C, or multi-variant experiments
- ◆ Statistical significance testing built-in
- ◆ Automatic winner detection
- ◆ Confidence intervals and p-values
Experiment Framework
Design
- • Define hypothesis
- • Select primary metric
- • Set success criteria
- • Allocate traffic (%)
Run
- • Start experiment
- • Track user behavior
- • Collect metrics
- • Monitor in real-time
Analyze
- • Calculate statistics
- • Compare variants
- • Check significance
- • Explore segments
Deploy
- • Select winning variant
- • Roll out to 100%
- • Monitor post-launch
- • Archive experiment