A/B Testing

Lesson in the BI Analyst Roadmap · Stage 37: A/B Testing

Last updated 14 September 2026

What is A/B Testing?

A/B testing, also known as split testing, is a method of comparing two versions of something to determine which one performs better. This is done by showing the two versions (A and B) to similar audiences and measuring which version achieves a specific goal, such as a higher click-through rate or conversion rate. The version that performs better is then implemented.

Study this in the interactive course See the whole BI Analyst roadmap

Free resources to learn A/B Testing

ArticleA/B Testing
ArticleA Refresher on A/B Testing
VideoHow to Do A/B Testing: 15 Steps for the Perfect Split Test

A/B Testing: common questions

Can I learn A/B Testing in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain A/B Testing in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this A/B Testing tutorial for beginners?

It is lesson 139 of 200 in the free BI Analyst roadmap, in stage 37, A/B Testing. If you are new to BI Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.