-------- company recently introduced a new bidding type, “average bidding”, as an alternative to its exisiting bidding type, called “maximum bidding”. One of our clients, --------.com, has decided to test this new feature and wants to conduct an A/B test to understand if average bidding brings more conversions than maximum bidding.
In this A/B test, --------.com randomly splits its audience into two equally sized groups, e.g. the test and the control group. A --------- company ad campaign with “maximum bidding” is served to “control group” and another campaign with “average bidding” is served to the “test group”.
The A/B test has run for 1 month and --------.com now expects you to analyze and present the results of this A/B test.
- How would you define the hypothesis of this A/B test?
- Can we conclude statistically significant results?
- Which statistical test did you use, and why?
- Based on your answer to Question 2, what would be your recommendation to client?
- Your presentation should last about 15 minutes, and should be presented in English.
- The ultimate success metric for HotelsForYou.com is Number of Purchases. Therefore, you should focus on Purchase metrics for statistical testing.
- Explain the concept of statistical testing for a non-technical audience.
- The customer journey for this campaign is:
- User sees an ad (Impression)
- User clicks on the website link on the ad (Website Click)
- User makes a search on the website (Search)
- User views details of a product (View Content)
- User adds the product to the cart (Add to Cart)
- User purchases the product (Purchase)
- Use visualizations to compare test and control group metrics, such as Website Click Through Rate, Cost per Action, and Conversion Rates in addition to Purchase numbers.
- If you see trends, anomalies or other patterns, discuss these in your presentation.
- You can make assumptions if needed.
Note: I translated also Turkish language