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How to Fail at A/B Testing

There are countless ways to create flawed A/B tests, and even many CRO experts fall into these traps. These flawed tests will either not yield any data, or will give you faulty data that leads you astray. From test setup to the concluding analysis, this talk covers where online testing goes awry. You'll walk away from this session with: Elevated understanding of the A/B testing statistical models Awareness of common testing pitfalls Strategies to avoid creating bad tests or breaking good tests

Madison Hajeb