Customer Analytics: People Doing Things Over Time
In this presentation, Professor Peter Fader illustrates a remarkably simple but powerful model to predict future repeat purchasing patterns in a standard spreadsheet environment. The particular focus here is on non-profits trying to project donations, but it’s broadly applicable to many other B2B and B2C companies as well. Beyond the performance of the model, this talk also offers useful insights about data management and managerial diagnostics for model assessment.
Professor Fader also discusses the gap between academic research and industry use of marketing data. As the Co-Founder of the Wharton Customer Analytics Initiative, he shares how this initiative uses an innovative crowdsourcing process to develop new statistical methods and apply them across a wide range of industries.
Learn more about Prof. Fader research on his newly launched book: Customer Centricity Essentials: What It Is, What It Isn’t, and Why It Matters
Peter Fader, Professor of Marketing, Wharton School
Peter S. Fader is the Frances and Pei-Yuan Chia Professor of Marketing at the Wharton School of the University of Pennsylvania. His expertise centers around the analysis of behavioral data to understand and forecast customer shopping/purchasing activities. He works with firms from a wide range of industries, such as consumer packaged goods, interactive media, financial services, retailing, and pharmaceuticals. Much of his research highlights the consistent (but often surprising) behavioral patterns that exist across these industries and other seemingly different domains.
Many of these cross-industry experiences have led to the development of the Wharton Customer Analytics Initiative, a new research center that serves as a “matchmaker” between leading-edge academic researchers and top companies that depend on granular, customer-level data for key strategic decisions.
Professor Fader believes that marketing should not be viewed as a “soft” discipline, and he frequently works with different companies and industry associations to improve managerial perspectives in this regard. His work has been published in (and he serves on the editorial boards of) a number of leading journals in marketing, statistics, and the management sciences. He has won many awards for his teaching and research accomplishments.