Causality, Optimality, and Marketing ModelingFeb 09, 2017 Peter E. Rossi, University of California, Los Angeles
The role of causal inference is to establish the true effect sizes for various marketing actions. As such, causal inference relies heavily on counterfactual reasoning. Peter Rossi will review the basics of causal inference and provide examples of valid reasoning and challenges for existing practices.
TV Ads and Search Spikes: Toward a Deeper UnderstandingFeb 09, 2017 Kenneth C. Wilbur, University of California, San Diego
Mobile devices and media multi-tasking have become so common that Google search spikes can now be detected in response to "mundane" TV ads. The question is, does search reliably predict intent?
Advertising Spending in the Digital AgeFeb 09, 2017 Shuba Srinivasan, Boston University
Much has been learned about the impact of advertising on business performance. But do these lessons still hold in the digital age?
Short- and Long-Term Impacts of Intrusive AdvertisingFeb 09, 2017 Ayman Farahat, Principal Scientist, Amazon
Ayman Farahat will discuss three large-scale natural experiments on Yahoo that evaluated short- and long-term impacts of intrusive ads.
Social TV, Advertising, and Sales: Are Social Shows Good for Advertisers?Dec 14, 2016 Beth L. Fossen and David A. Schweidel, 2016, 16-135
Good news for retailers and TV networks: Social TV activity boosts online sales for advertisers.
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