What is A/B testing and how do I interpret the results?

What is A/B testing and how do I interpret the results?

A/B testing is a method of comparing two versions of a webpage or app against each other to determine which one performs better. You interpret the results by analyzing metrics like conversion rates, click-through rates, and user engagement.

How do I set up an A/B test?

To set up an A/B test, define your goal, create two versions (A and B), randomly assign users to each version, and then run the test for a sufficient duration to gather data.

What metrics should I focus on during the test?

Focus on metrics that align with your goals, such as conversion rate, bounce rate, average session duration, and user engagement.

How long should I run an A/B test?

The duration depends on your traffic and the significance level you want to achieve, but typically, running the test for at least one to two weeks is recommended.

What if the results are inconclusive?

If the results are inconclusive, consider extending the test duration, increasing your sample size, or testing different variations.