معرفی
Rajkumar Venkatesan is a Professor at the Darden School of Business, University of Virginia, with expertise in marketing analytics and customer lifetime value. He teaches courses such as 'Marketing Technology Products,' 'Marketing Strategy,' and 'Marketing Analytics.' Venkatesan holds a Ph.D. in Marketing from the University of Houston and a B.E. in Computer Science from the University of Madras.
- Ph.D., Marketing - University of Houston
- B.E., Computer Science - University of Madras
His research focuses on marketing analytics, customer lifetime value, mobile marketing, and the global political economy. He has published extensively in top-tier journals like The Review of Economics and Statistics, Journal of Marketing, Marketing Science, and Harvard Business Review, with notable work on AI-driven marketing strategies and CRM optimization.
Venkatesan’s articles highlight trends in predictive modeling, media attribution, and AI applications in marketing. His empirical methods for CLV calculation and studies on multichannel shopping behavior have shaped modern marketing analytics frameworks.
Scientific awards include the Don Lehmann Award, ISBM David T. Wilson-Sheth Award, and recognition as a top scholar by the Marketing Science Institute and Poets & Quants. He has advised firms like IBM, Johnson & Johnson, and Flipkart, developing data analytics solutions and executive education programs.
Co-author of Cutting Edge Marketing Analytics, Venkatesan also contributes case studies on AI implementation (e.g., Yum! Brands, Flipkart) and media attribution challenges. His work bridges academic rigor with industry applications, emphasizing marketing ROI and resource allocation.
