Sep 23–26, 2019
Fei Wang

Fei Wang
Senior Data Scientist/Statistician, CarGurus

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Fei Wang is a senior data scientist/Statistician at CarGurus. His work primarily involves experimental design, causal inference modeling for
online and TV advertising. Fei’s research includes statistical machine learning, matrix factorization, optimization and high-dimensional data modeling. Fei holds a Ph.D in Biostatistics from University of Michigan.

Sessions

2:55pm3:35pm Wednesday, September 25, 2019
Location: 1A 08/10
Secondary topics:  Media and Advertising, Retail and e-commerce
Fei Wang (CarGurus), Michael Brautbar (CarGurus)
This session will present the case study for the CarGurus TV Attribution Model. Attendees will learn how the creation of a causal inference model can be leveraged to calculate cost per acquisition (CPA) of TV spend and measure effectiveness when compared to CPA of Digital Performance Marketing spend. Read more.

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