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🧪 A collection of AB testing frameworks, libraries, and tools curated to help you achieve reliable and statistically significant results in your experimentation.

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A/B Testing

Business Problem:

Facebook recently introduced a new bidding type, 'average bidding', as an alternative to the existing bidding type called 'maximum bidding'. One of our clients, bombabomba.com, decided to test this new feature and would like to run an A/B test to see if average bidding converts more than maximum bidding. The A/B test has been going on for 1 month and bombabomba.com is now waiting for you to analyze the results of this A/B test. The ultimate success criterion for Bombabomba.com is Purchase. Therefore, the focus should be on the Purchase metric for statistical testing.

Dataset Story:

In this data set, which includes the website information of a company, there is information such as the number of advertisements that users see and click, as well as earnings information from here. There are two separate data sets, the control and test groups. These datasets are in separate sheets of the ab_testing.xlsx excel. Maximum Bidding was applied to the control group and Average Bidding was applied to the test group.

Variables:

Total Features: 4 - Total Row: 40 - CSV File Size: 24 KB

  • Impression: Ad views

  • Click: Number of clicks on the displayed ad

  • Purchase: Number of products purchased after ads clicked

  • Earning: Earnings after purchased products

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