Retention · Two field experiments combined with machine-learning targeting methods
Retention Futility: Targeting High-Risk Customers Might Be Ineffective
Journal of Marketing Research · 2018
Summary
Customers with the highest predicted churn risk were not necessarily the best targets.
For your marketing
Possible founder application
Use treatment response or expected incremental profit to select retention audiences, rather than ranking only by churn propensity. Hold out customers so the intervention's causal effect can be estimated.
Reported result
What the study found
Customers with the highest predicted churn risk were not necessarily the best targets. The response-based targeting approach was significantly more effective than standard targeting of the highest-risk customers.
Research question
What the authors investigated
Are customers most likely to churn also the best customers to target with a retention intervention?
Design
The author combines two field experiments with machine-learning techniques to compare targeting by predicted churn risk with targeting by expected response to retention efforts.
Sample and setting
Two field experiments involving customer retention interventions; the publisher abstract does not summarize sample sizes or industries.
Scope and transfer
Limitations to keep in view
Two specific field experiments and intervention settings; targeting performance depends on treatment response and available data. High churn risk and high persuadability are different quantities.
Research sources
Journal of Marketing Research abstract and author-hosted paper; experiment count and targeting comparison are reported by the journal.