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Marketing Analytics

Course 3 of 4: MicroMasters Program in Business Analytics 12 Weeks 8–10 hours per week recommended
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Marketing Analytics

12 Weeks
8–10 hours per week

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About this course

Marketers want to understand and forecast how customers purchase products and services and how they respond to marketing initiatives.

Learn how analytics help businesses drive marketing to maximize its effectiveness and optimize return on investment (ROI).

In this course, part of the Business Analytics MicroMasters program, discover how to develop quantitative models that leverage business data, statistical computation, and machine learning to forecast sales and marketing impact for:

  • customer relationship management;
  • market segmentation;
  • value creation;
  • communication;
  • monetization.

You will learn how to use probabilistic models and optimization tools to model customer demand forecasts, pricing sensitivity, Lifetime Value and how to leverage such data to make optimal decisions on designing new products, marketing segmentation and strategy.

What you’ll learn

Skills acquired after the course:

  • Demand forecasting using customer-base models and statistical approaches
  • Market segmentation methods and best practices for identifying potential customer segments and focused targeting
  • Computation of Customer Lifetime Value for analyzing customer, brand loyalty and forecasting revenue in the short and long run
  • Factors to consider while designing and introducing new products to the market
  • Calculating Optimal Pricing for products and services to get the best ROI
  • Assessing Marketing ROI for making better and data-driven decisions

MicroMasters® Program in Business Analytics

Learn the power of analytics to make better decisions

Analytics in Python
Data, Models and Decisions in Business Analytics
Marketing Analytics
Demand and Supply Analytics
4 Courses 1 year 8 - 10 hours per week
Complete Program $1,179
Program Details

Prerequisites

Undergraduate probability, statistics and calculus.
Familiarity with R or a similar programming language.

 

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

Meet Your Instructors

Kamel Jedidi

John Howard Professor of Business and Chair of the Marketing Division at Columbia University
Kamel Jedidi is the John Howard Professor of Business and the Chair of the Marketing Division at Columbia Business School, New York. He holds a bachelor’s degree in Economics from University of Tunis and Master and Ph.D. degrees in Marketing and Statistics from the Wharton School, University of Pennsylvania. Dr. Jedidi has extensively published in leading marketing and statistical journals. His research interests include pricing, product positioning, and market segmentation. He was awarded the 1998 IJRM Best Article Award and the Marketing Science Institute 2000 Best Paper Award. He was also finalist for 2009 Paul Green Award for the Journal of Marketing Research _and for the 2009 Long-term Impact Paper Award for _Marketing/Management Science. _Dr. Jedidi is senior Editor for the _Consumer Needs and Solutions _Journal and serves on the editorial board for the _Journal of Business-to-Business Marketing. Dr. Jedidi has conducted seminars at several business conferences and universities and also spoken at and consulted with several multinational companies. He is a Founding Trustee of the Marketing Accountability Standards Board (MASB), a member of the Faculty Steering Committee, Columbia Global Centers (Amman), a Senior Editor for Rutgers Business Review, and a member of the Academic Council of ENPC’s School of International Management.

Asim Ansari

William T. Dillard Professor of Marketing at Columbia University
Asim Ansari is the William T. Dillard Professor of Marketing at Columbia University. He received his PhD in marketing from New York University. His current research focuses on the Bayesian modeling for customer relationship management, personalization and customization of products and marketing actions and preference measurement. His research has appeared in several leading marketing journals. He is on the Editorial board of Marketing Science, and the Journal of Marketing Research. He has received the Paul Green award from the American Marketing Association for his work on e-customization. In addition, his has been a finalist for the William O’ Dell award, the John Little Best Paper Award, Frank M. Bass Outstanding Dissertation Award and the INFORMS Society for Marketing Science Long Term Impact Award.
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Experience Level

Advanced

Learning Partner

Columbia University

Program Type

MicroMasters®

Subject

Business & Management
Advanced Business Harvard X-Series