A/B Testing at Vungle

Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or "horse race" in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.
Be the first to review this productGrushka-Cockayne, Yael; Lichtendahl, Kenneth C. Jr.; De Reyck, Bert; Fragkos, Ioannis
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Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or "horse race" in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.

Products specifications
Attribute nameAttribute value
Case NumberQA-0821
AuthorGrushka-Cockayne, Yael, Lichtendahl, Kenneth C. Jr., De Reyck, Bert, Fragkos, Ioannis
Document UseAll
Simulation Platform
PriceA
TypeCase
Length7 pages.
CategoryDecision Analysis:Data Analysis & Data Science, Decision Analysis:Forecasting
Version3.0
Published04/13/15
Revision Date03/07/17