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  • October 2024
  • Article
  • Journal of Marketing Research (JMR)

Canary Categories

By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
  • Format:Electronic
  • | Pages:19
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Abstract

Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that retailer. We demonstrate the robustness of this finding at two retailers. We propose an explanation for the existence of canary categories and then develop a stylized model that illustrates four contributing factors: the probability a customer finds their favorite brand, customers’ willingness to substitute brands, the cost and attractiveness of visiting other stores, and expectations about future brand availability. We use both field data and experiments to investigate these factors. The findings suggest that canary categories exist (at least in part) because store assortments are not completely adjusted to local preferences. An implication is that canary categories are endogenous to each retailer; the same category may be a canary category at one retailer and a destination category at a competing retailer.

Keywords

Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry

Citation

Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
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About The Author

Ayelet Israeli

Marketing
→More Publications

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More from the Authors
  • Unintended Consequences of Algorithmic Personalization By: Ayelet Israeli and Eva Ascarza
  • Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
  • Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
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