Facebook recently introduced a new bidding type called "average bidding" as an alternative to the existing "maximum bidding."
One of our clients, bombabomba.com, decided to test this new feature and wants to understand whether "average bidding" brings more conversions compared to "maximum bidding."
The A/B test has been running for 1 month, and now bombabomba.com wants you to analyze the results of this A/B test. The ultimate success metric is the "Purchase" variable, so the statistical tests should focus on it.
This dataset contains web data for a company, including information on ad impressions, clicks, purchases, and earnings. The data consists of two separate sheets, "Control Group" and "Test Group," representing the control group with "maximum bidding" and the test group with "average bidding," respectively.
Variable | Description |
---|---|
Impression | Number of ad impressions |
Click | Number of clicks on the ads |
Purchase | Number of product purchases after the clicks |
Earning | Total earnings from the purchases |