Measuring TV Ad Effectiveness AI for Audience Engagement
Tools to measure and improve effectiveness of cross-channel advertising , by enabling advertisers to better coordinate their marketing efforts across TV, digital and search. Predictive models of consumer behavior based on cross-company data capturing user habits from search (Bing/Cortana), browsing (Edge), TV viewing (Xbox), and purchasing (Universal Store).
Slides
Videos
How Data Mining Can Help Advertisers Hit Their Targets
TV and Distraction
Demo
Feel free to request a demo
Media
Personne
Core Team
Keith Battocchi
Senior Research Software Development Engineer
Kevin Gao
Senior Research Software Development
Affiliates
David Rothschild
Economist
Chinmay Singh
Principal Research Software Development Engineer
Sharon Gillett
Technical Advisor and Sr. Principal Research Program Manager
Victor Heymeyer
Principal Research Director
Microsoft
Gordon Burtch
Assistant Professor
University of Minnesota
Michael Barto
Senior Data Scientist
Microsoft
Andrey Siminov
Assistant Professor
Columbia Business School
Kelly Buckley
Research Assistant