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TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

How to conduct A/B Testing?

Step by Step Guide on How to perform A/B testing

9 min readAug 5, 2020

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The idea of A/B testing is to present different content to different variants (user groups), gather their reactions and user behaviour and use the results to build product or marketing strategies in the future.

A/B testing is a methodology of comparing multiple versions of a feature, a page, a button, headline, page structure, form, landing page, navigation and pricing etc. by showing the different versions to customers or prospective customers and assessing the quality of interaction by some metric (Click-through rate, purchase, following any call to action, etc.).

This is becoming increasingly important in a data-driven world where business decisions need to be backed by facts and numbers.

How to conduct a standard A/B test

  1. Formulate your Hypothesis
  2. Deciding on Splitting and Evaluation Metrics
  3. Create your Control group and Test group
  4. Length of the A/B Test
  5. Conduct the Test
  6. Draw Conclusions

1. Formulate your hypothesis

Before conducting an A/B testing, you want to state your null hypothesis and…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

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