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Elea McDonnell Feit's Projects

ad_response_tutorial icon ad_response_tutorial

This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.

choicestan icon choicestan

Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017

data_fusion icon data_fusion

Code for the examples in the Feit and Bradlow chapter on Fusion Modeling in the Handbook of Marketing Research.

rforresearch icon rforresearch

Introduction to R and R Markdown for Business School Faculty and Doctoral Students

testandroll icon testandroll

Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.

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