Where A-B Testing Goes Wrong: How Divergent Delivery Affects What Online Experiments Cannot (and Can) Tell You About How Customers Respond to Advertising

51 Pages Posted: 30 Jul 2021 Last revised: 5 May 2024

See all articles by Michael Braun

Michael Braun

Southern Methodist University (SMU) - Marketing Department

Eric M. Schwartz

University of Michigan, Stephen M. Ross School of Business

Date Written: May 2, 2024

Abstract

Marketers use online advertising platforms to compare user responses to different ad content. However, platforms’ experimentation tools deliver ads to distinct, optimized, undetectable mixes of users that vary across ads, even during the test. As a result, the estimated

Keywords: Targeted online advertising, A/B testing, measuring advertising effectiveness, causal inference, experimental design, Simpson's paradox, social media

JEL Classification: C9, M31, M37

Suggested Citation

Braun, Michael and Schwartz, Eric M., Where A-B Testing Goes Wrong: How Divergent Delivery Affects What Online Experiments Cannot (and Can) Tell You About How Customers Respond to Advertising (May 2, 2024). SMU Cox School of Business Research Paper No. 21-10, Available at SSRN: https://ssrn.com/abstract=3896024 or http://dx.doi.org/10.2139/ssrn.3896024

Michael Braun (Contact Author)

Southern Methodist University (SMU) - Marketing Department ( email )

United States

Eric M. Schwartz

University of Michigan, Stephen M. Ross School of Business ( email )

701 Tappan Street
Ann Arbor, MI MI 48109
United States

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