A/B testing can significantly improve your website’s performance—but only if it’s done right. Many businesses fall into common traps that lead to inaccurate results and wasted effort. In this article, we highlight five A/B testing mistakes to avoid if you want reliable insights and real improvements.
- Ending Tests Too Early: Prematurely stopping a test before reaching statistical significance can lead to misleading results. Use a sample size calculator and run tests for at least one full user cycle.
- Testing Too Many Variables at Once: Changing multiple elements in a single test (a.k.a. multivariate testing) makes it hard to determine what actually caused the result. Stick to one change per test when starting out.
- Ignoring Mobile Users: Your test may perform differently on mobile vs desktop. Always segment results by device type to get a full picture.
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