Sep 23–26, 2019

Fei Wang
Senior Data Scientist and Statistician, CarGurus

Fei Wang is a senior data scientist and statistician at CarGurus. His work primarily involves experimental design and 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 PhD in biostatistics from the University of Michigan.

Sessions

2:55pm–3:35pm Wednesday, September 25, 2019

Location: 1A 08/10

Building a machine learning framework to measure TV advertising attribution

Data Science, Machine Learning, & AI

Secondary topics: Media and Advertising, Retail and e-commerce

Fei Wang (CarGurus)

Fei Wang takes a deep dive into a case study for the CarGurus TV Attribution Model. You'll understand how you can leverage the creation of a causal inference model to calculate cost per acquisition (CPA) of TV spend and measure effectiveness when compared to CPA of digital performance marketing spend. Read more.