Acquisition and retention · Customer referral value measurement and targeting framework
Driving Profitability by Encouraging Customer Referrals: Who, When, and How
Kumar, V., Petersen, J. A., & Leone, R. P. (2010). Journal of Marketing, 74(5), 1–17.
Plain-English take
The useful point is that maximizing referral-program profitability requires managing both long-term customer value and customer referral value, and that referral behavior can guide targeting of profitable prospects. For your marketing: Track who refers, how often, and the value of referred customers.
How much weight to give this
2.5/5 Limited or context-dependent evidence
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.
This is theory or a framework, not a direct empirical test of the marketing outcome.
A usable sample size is not stated in the profile's accessible source.
No participant control group; conclusions are conditional on the model or synthesis assumptions.
This profile could be checked against an abstract or metadata, not the full paper.
Double-blind? Not applicable in the same way as a participant-treatment experiment.
Research question
What the authors investigated
How can firms measure customer referral value and use it alongside lifetime value to target referral campaigns?
Design
The authors develop a method for computing customer referral value from past referral behavior, analyze its behavioral drivers and propose targeting based on customer lifetime value and referral value.
Sample and setting
Customer and referral records used to derive CLV and customer referral value; the accessible abstract does not identify the firm or sample size.
Reported result
What the study found
The research argues that maximizing referral-program profitability requires managing both customer lifetime value and customer referral value, and that referral behavior can guide targeting of profitable prospects.
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
The model and targeting evidence depend on available referral histories and a particular business context. Referral volume alone does not reveal the marginal profitability of a campaign.
Possible founder application
Track who refers, how often, and the value of referred customers. Combine referral propensity with customer economics when selecting advocates for a program.
Evidence access
Publisher abstract
Journal of Marketing publisher abstract and citation metadata; profile remains at abstract level.
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.