Aug. 3, 2022, 7:11 p.m. | Mintao Wei

Towards Data Science - Medium towardsdatascience.com

A Discussion of the go-to methods for 5 Types of A/B Metrics

TL;DR

This article summarizes A/B test evaluation metrics into 5 categories and outlines the suggested statistics testing for its significance values in the table below.

Table by Author

Table of Contents

  1. Why Should We Care
  2. User Average Metrics
  3. User-level Conversion Metrics
  4. Pageview-level Conversion Metrics
  5. Percentile Metrics
  6. SUM Metrics
  7. Summary and Practical Tips
  8. Note

Why Should We Care?

While the t-tests are powerful, they are not universally applicable in …

a-b-testing data science deep-dives math metrics statistical statistics tests

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