Empirical methods for business decisions


Objective

Quantitative marketing is the application of quantitative techniques to the field of marketing to tackle business decisions. The techniques used may be in the field of statistics, econometrics, economics, experimentation or even psychology. Quantitative marketing has traditionally sought to acquire and retain the most profitable customers, evaluate the effects of a sales campaign to maximize its impact, optimize pricing, evaluate the effects of price promotion, determine the best way to launch a new product, examine the impact of the introduction of a new sales channel, or understand the behavior and needs of consumers for future products design.

The use of quantitative marketing has known a significant expansion in recent years thanks to the proliferation of new data on consumers and transactions induced by new technologies. The development of the Internet and related new technologies represents a deep revolution in business activity and consumption patterns. Marketing plays an important role in shaping the economy and its future.

This course aims at providing a toolbox of statistical methods in marketing research to students. It is based on the results of applied research and reviews the main methods and solutions that can be implemented to help firms in their decisions. The course also deals with some recent issues in digital marketing. Topics covered will include Customer Relationship Management, Price Promotions, Advertising and Publicity, and Digital Marketing, knowing that these topics are all intertwined. Some elements of consumer behavior will also be discussed.

At the end of the course, students are expected to understand and to know how to implement the relevant methods for the main business decisions using standard statistical software, to figure out if the parameters of interest are identified and, therefore, to optimize the parameters of a marketing campaign to increase revenue or profits.

Planning

  • Session 1: Marketing Data / Data sources / PII -Non PII data / Consumer behavior and privacy issues 
  • Session 2 : CRM / Customer Value  / Segmentation / Scoring / Présentation du Projet
  • Session 3 : CRM Programmatic / Data onboarding / Programmatic advertising: what is it and how does it work?
  • Session  Avancement des Projets  – online (1h30)
  • Session 4: Marketing Measurement Models/Performance/Optimization/Attribution/Test A/B
  • Seconde Session  Avancement des Projets  – online (1h30)
  • Session 6 :  Présentation des projets (on site: Grégoire & Sandrine & 2 autres membres)

Références

Robert C. Blattberg, Byung-Do Kim, Scott A. Neslin, 2008, Database Marketing, Analyzing and Managing Customers, Springer, International Series in Quantitative Marketing

Christian Homburg, Martin Klarmann, Arnd Vomberg, 2022, Handbook of Market Research, Springer

Peter S.H. Leeflang, Jaap E. Wieringa, Tammo H.A. Bijmolt, Koen H. Pauwels, 2015, Modeling Markets, Analyzing Marketing Phenomena and Improving Marketing Decision Making, Springer, International Series in Quantitative Marketing

Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H.A Bijmolt, Koen H. Pauwels, 2017, Advanced Methods for Modeling Markets, Springer, International Series in Quantitative Marketing

Peter S. H. Leeflang, Dick R. Wittink, Michel Wedel, Philippe A. Naert, 2000, Building Models for Marketing Decisions, Springer, International Series in Quantitative Marketing