Customer behavior and adoption · 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
Romana Khan, Michael Lewis, Vishal Singh (2009). Dynamic Customer Management and the Value of One-to-One Marketing. Marketing Science. https://doi.org/10.1287/mksc.1090.0497
Plain-English take
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.
How much weight to give this
2/5 Evidence needs cautious interpretation
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every 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.
An online grocery and drug retailer; exact observation count is not stated in the publisher abstract.
Check comparison conditions and analysis in the paper.
Publisher record checked; full-text methods were not verified.
Double-blind? Blinding details were not established from the checked publisher page.
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.
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.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
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.
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.
Evidence access
Publisher page; full-text availability varies and was not established.
Candidate study metadata and reported evidence were cross-checked against a direct publisher-page retrieval; the full article was not independently reviewed.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.