Pricing presents managers with one of their most powerful levers for maximizing profits and shareholder value. However, this value often lies untapped within many organizations, with managers lacking a clear understanding of how to improve on historical pricing practices within their companies and industries.
The objective of this course is to prepare students for addressing strategic and tactical pricing issues and identifying profit-boosting changes in pricing practices across a range of professional contexts – as product managers, business unit managers, management consultants, entrepreneurs, and M&A advisors.
The course will draw on a mixture of analytic marketing techniques, marketing strategy, and economic theory to describe approaches that are useful for optimal pricing decisions. Some examples of questions we will address in the course: How does a firm determine the price for a new product? How does a firm assess whether the current price is appropriate? What is value pricing? Which price segmentation strategy is optimal? How can a firm avoid a price war?
The course will use a mix of lectures, case discussions, in-class simulations, and guest speakers. Mini-cases and problems will also be employed to make students apply their learning to practical situations. The first three weeks of the course will establish a foundation for effective pricing decisions by teaching key economic, analytical and behavioral concepts associated with costs, customer behavior and competition. The rest of the course will (a) introduce students to advanced pricing techniques that aim to create additional value, including dynamic pricing, segmented pricing, nonlinear pricing, pricing structures, and promotions and (b) highlight practical applications of these approaches within a variety of specific industry contexts.
William T. Dillard Professor of Marketing
Professor Ansari's research address customer relationship management, customization of marketing activities and product recommendations over the Internet, Social networks modeling and Bayesian modeling of consumer actions. Prior to joining Columbia in 1996, Ansari was with the university of British Columbia, Canada. Ansari has several publications in leading journals in marketing and allied fields. His research has appeared in the Journal of Marketing Research...