Publications
Publications
  • August 2018 (Revised September 2018)
  • Case
  • HBS Case Collection

Predicting Purchasing Behavior at PriceMart (A)

By: Srikant M. Datar and Caitlin N. Bowler
  • Format:Print
  • | Language:English
  • | Pages:17
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Abstract

This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded a new baby, parents’ shopping habits became quickly ingrained. She hypothesized that if she could get households expecting a new baby to make PriceMart a part of their routines before becoming parents, she might keep them as customers for the next several years, winning significant additional revenue.

Keywords

Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction

Citation

Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)

About The Author

Srikant M. Datar

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