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J·BJon BishopIndependent growth marketer

Buyer behavior · Uses online grocery/drug-retailer purchase data to estimate consumer purchase and expenditure responses to discount coupons, free shipping, and loyalty programs, allowing cross-sectional and within-customer purchase-cycle heterogeneity; feeds estimates into dynamic programming policy simulations.

Dynamic Customer Management and the Value of One-to-One Marketing

Marketing Science · 2009

Romana Khan, Michael Lewis, Vishal Singh

Summary

Customizing promotions increased simulated profits over uniform promotions. Free shipping was preferred for re-acquiring lapsed customers, while discount coupons worked best for active customers; temporal within-customer heterogeneity mattered more than cross-sectional heterogeneity.

For your marketing

Possible founder application

Use this paper as evidence about dynamic customer management and the value of one-to-one marketing in the stated context; compare its population, treatment and outcome with your own decision.

Reported result

What the study found

Customizing promotions increased simulated profits over uniform promotions. Free shipping was preferred for re-acquiring lapsed customers, while discount coupons worked best for active customers; temporal within-customer heterogeneity mattered more than cross-sectional heterogeneity.

Research question

What the authors investigated

What does dynamic customer management and the value of one-to-one marketing show about customer behavior or marketing outcomes?

Design

Uses online grocery/drug-retailer purchase data to estimate consumer purchase and expenditure responses to discount coupons, free shipping, and loyalty programs, allowing cross-sectional and within-customer purchase-cycle heterogeneity; feeds estimates into dynamic programming policy simulations.

Sample and setting

An online grocery and drug retailer; exact observation count is not stated in the publisher abstract.

Scope and transfer

Limitations to keep in view

Inference: conclusions rely on one retailer's historical promotion environment and model-based policy simulations rather than a randomized rollout of the proposed optimal policy. Full-text methods and correction history were not independently checked.

Research sources

Candidate study metadata and reported evidence were cross-checked against a direct publisher-page retrieval; the full article was not independently reviewed.

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