CRO · MDE
Minimum Detectable Effect
Definition
What is Minimum Detectable Effect?
The smallest improvement an A/B test is designed to detect at a given sample size and confidence level. A test with low traffic can only detect large lifts; trying to detect a 5% lift on a 1,000-visit page needs months.
Related terms
Cross-linked concepts
- A/B TestingSplitting traffic between two or more page variants to measure which converts better. Statistical significance requires sample size based on baseline conversion rate and minimum detectable lift, usually 1,000+ conversions per variant.
- Statistical SignificanceConfidence that an observed difference between A/B test variants is not due to random chance. Standard threshold is 95% confidence. Stopping a test before significance is reached produces false positives.
Same category
More CRO terms
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