What is A/B Testing?

A/B Testing is a method used to statistically compare two variants on live traffic, allowing you to determine which version performs better in achieving a specific goal.

When to use A/B Testing?

Use A/B Testing when you want to make data-driven decisions about changes to your product or marketing strategies, such as optimizing a webpage, email campaign, or app feature.

When not to use A/B Testing?

Avoid A/B Testing when you have insufficient traffic to generate statistically significant results, or when the changes being tested are too minor to affect user behavior meaningfully.

What is the anatomy of A/B Testing?

The anatomy of A/B Testing includes defining a hypothesis, selecting key performance indicators (KPIs), segmenting your audience, running the test, and analyzing the results to inform future decisions.