A/B testing is a method for comparing two versions of a webpage or app to determine which one performs better based on statistical analysis. It involves creating two versions of a webpage or app screen, dividing the traffic between them, and measuring visitor engagement to understand the impact of the changes.
Here are the steps on how to analyze A/B testing results:
Adhering to A/B testing best practices ensures reliable and actionable results. Begin by setting clear goals, such as increasing click-through rates or product purchases, to measure the success of your tests. Select a sufficiently large audience to achieve statistically significant results and avoid false positives. Utilize control groups by dividing traffic between the original version (control) and the modified version (variation) for performance comparison.
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