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Estimating Models of Promotion Non-Compensatory Choice Behavior Using Compensatory Scanner Panel Data: Panel Scanner Panel Data (Classic Reprint) - Hardcover

Peter S. Fader

 
9780332101699: Estimating Models of Promotion Non-Compensatory Choice Behavior Using Compensatory Scanner Panel Data: Panel Scanner Panel Data (Classic Reprint)

Synopsis

How promotions shape shopping decisions—and what that means for marketers .

This book introduces a non‑compensatory view of consumer choice in the face of frequent promotions, showing how shoppers may screen for promoted brands first and then decide among the rest.

Focusing on real shopping data, it explains why promotions can push some buyers to narrow their consideration to a subset of brands. The work contrasts non‑compensatory rules with traditional compensatory models and demonstrates how a phased decision process can better reflect actual behavior. It also shows how models are estimated at the individual level and tested with holdout periods to gauge predictive power.

Highlights include:

  • How promotion presence can trigger choice restriction and affect brand selection
  • The development and estimation of non‑compensatory versus compensatory models
  • How hierarchical brand preferences emerge and are interpreted
  • Insights into model robustness and fit across individual shopper histories

Ideal for readers who want practical, data‑driven insight into how promotions influence decision making at the moment of purchase.

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