Acquisition and retention · Profit-based churn model and two field experiments
Managing Churn to Maximize Profits
Lemmens, A., & Gupta, S. (2020). Marketing Science, 39(5), 956–973.
Plain-English take
The profit-aligned targeting approach uses expected additional churn and post-campaign cash flows net of intervention costs. For your marketing: For lifecycle offers, target on expected incremental profit rather than the highest predicted churn score.
How much weight to give this
4.0/5 Useful evidence with meaningful caveats
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.
An experiment is useful for causal evidence, but the accessible profile does not establish random assignment.
A usable sample size is not stated in the profile's accessible source.
Experimental comparison is described; randomization or control details need checking in the paper.
An accessible full paper or manuscript is linked, making methods easier to check.
Double-blind? Blinding is not reported in the source reviewed; that does not establish whether blinding was or was not used.
Research question
What the authors investigated
How should firms select customers for retention interventions to maximize campaign profit?
Design
The authors define a profit-based loss function that ranks customers by the incremental financial impact of a retention intervention and test the approach in two field experiments.
Sample and setting
Two retention-campaign field experiments; the accessible abstract does not summarize the industries or sample sizes.
Reported result
What the study found
The profit-aligned targeting approach uses expected incremental churn and post-campaign cash flows net of intervention costs. The authors report that their method significantly improves campaign profitability compared with conventional churn-probability or offer-responsiveness targeting.
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
Performance depends on the intervention, available customer data and model evaluation. The publisher abstract does not provide effect magnitudes; a model trained on historical churn risk alone may not estimate treatment lift.
Possible founder application
For lifecycle offers, target on expected incremental profit rather than the highest predicted churn score. Measure treatment effects and include discounts, support and future cash flows in the decision.
Evidence access
Publisher abstract and author-hosted paper
Marketing Science abstract and author-hosted manuscript; two field experiments and the profit-based targeting design are specified in the abstract.
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.