Ron Berman

 

 


 

Professor Ron Berman is an assistant professor of marketing at the Wharton School. He focuses his research on online marketing, marketing analytics and the marketing actions of startup firms. His recent research looks at how advertisers incorrectly attribute sales to online advertising which results in suboptimal campaigns, and how search engine optimization (SEO) may improve search engine results contrary to common belief. Ron’s previous experience includes working on Internet and Media investments as a venture capitalist at Carmel Ventures, and developing software for the IDF. Currently Ron mentors startups at the UpWest Labs accelerator and spends time meeting and advising young entrepreneurs.




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Dec 5th 2016

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this brand new course, four of Wharton’s top marketing professors will dive deeper into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few.

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