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- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- May 2014 (Revised January 2015)
- Case
Vaxess Technologies, Inc.
By: John A. Quelch and Margaret L. Rodriguez
In February 2014, Michael Schrader, chief executive of Vaxess Technologies, Inc., was assessing the startup health care company's 2014 marketing plan. On December 31st, 2013, Vaxess had obtained an exclusive license to a series of patents for a silk protein technology... View Details
Keywords: Vaccine; Cold Chain; Antigen; Temperature Controlled; Developing Markets; Immunization; Health Care and Treatment; Health Pandemics; Global Strategy; Supply Chain; Health; Health Industry; Medical Devices and Supplies Industry
Quelch, John A., and Margaret L. Rodriguez. "Vaxess Technologies, Inc." Harvard Business School Case 514-107, May 2014. (Revised January 2015.)