25 citations · 29 across the 3 of their papers we have counts for
4 papers
Characterizing and Minimizing Divergent Delivery in Meta Advertising Experiments
Gordon Burtch, Robert Moakler, Brett R. Gordon +2
Many digital platforms offer advertisers experimentation tools like Meta's Lift and A/B tests to optimize their ad campaigns. Lift tests compare outcomes between users eligible to…
Predicted Incrementality by Experimentation (PIE) for Ad Measurement
Brett R. Gordon, Robert Moakler, Florian Zettelmeyer
Randomized controlled trials (RCTs) provide the most credible estimates of advertising incrementality but are difficult to scale. We propose Predicted Incrementality by Experimenta…
Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement
Brett R. Gordon, Robert Moakler, Florian Zettelmeyer
Despite their popularity, randomized controlled trials (RCTs) are not always available for the purposes of advertising measurement. Non-experimental data is thus required. However,…
Enhancing Transparency and Control when Drawing Data-Driven Inferences about Individuals
Daizhuo Chen, Samuel P. Fraiberger, Robert Moakler +1
Recent studies have shown that information disclosed on social network sites (such as Facebook) can be used to predict personal characteristics with surprisingly high accuracy. In…