Rajkumar Venkatesan





B.E., Computer Science, University of Madras, India; Ph.D., Marketing, University of Houston


Rajkumar Venkatesan teaches First Year Marketing and Marketing Analytics at Darden. Venkatesan's research focuses on analytics as it relates to marketing return on investment, customer lifetime value, mobile marketing, and the global political economy. Venkatesan's research has appeared in several journals including The Review of Economics and Statistics, Journal of Marketing, Journal of Marketing Research, Marketing Science and the Harvard Business Review. Many of his research publications have been recognized with prestigious awards, such as the Don Lehmann Award for the best dissertation-based article published in the Journal of Marketing and Journal of Marketing Research, the MSI Alden G. Clayton Award for the best marketing dissertation proposal and the ISBM Outstanding Dissertation Proposal Award. He was selected as one of the top 20 rising young scholars in marketing by the Marketing Science Institute and one of the top 40 professors under 40 by the Poets and Quants magazine.

He has consulted with firms in the technology, retailing and pharmaceutical industries on their marketing analytics initiatives. For his work with IBM, he was recognized as one of the finalists for the Informs Practice Prize Competition. He is also a co-author of a book on marketing analytics. Before coming to Darden, Venkatesan taught database marketing, marketing research and quantitative marketing models to graduate students at the University of Connecticut. There, he was the recipient of the MBA Teacher of the Year Award. He received his Ph.D. in marketing from the University of Houston and his BE in computer engineering from the University of Madras.

E.g., 2016-10-24
E.g., 2016-10-24
E.g., 2016-10-24
Oct 10th 2016

Organizations large and small are inundated with data about consumer choices. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. This course gives you the tools to measure brand and customer assets, perform regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns.

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