What is A/B testing and how can I use it for my data analysis?

What is A/B testing and how can I use it for my data analysis?

A/B testing is a method of comparing two versions of a webpage or product to determine which one performs better.

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), and randomly assign users to each version.

What metrics should I track during the test?

You should track conversion rates, user engagement, and any other relevant KPIs that align with your goals.

How long should I run the A/B test?

The duration depends on your traffic; typically, run the test for at least one to two weeks to gather sufficient data.