Acquisition and retention · Field experiment with matched comparison group
Growing Existing Customers’ Revenue Streams Through Customer Referral Programs
Garnefeld, I., Eggert, A., Helm, S. V., & Tax, S. S. (2013). Journal of Marketing, 77(4), 17–32.
Plain-English take
Within a year, recommenders’ defection rate fell from 19% to 7%, and their average monthly revenue rose by 11.4% versus the matched control group. For your marketing: Evaluate both sides of referral programs: the acquired customer and the referrer.
How much weight to give this
3.5/5 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.
This profile could be checked against an abstract or metadata, not the full paper.
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
Does participating in a referral program change the behavior and value of the existing customer who makes the recommendation?
Design
Using customer data from a global cellular telecommunications provider, the authors compare participating recommenders with a matched control group and report a field experiment on subsequent customer behavior.
Sample and setting
Existing customers of one global cellular telecommunications provider; the abstract reports a one-year defection and revenue comparison.
Reported result
What the study found
Within a year, recommenders’ defection rate fell from 19% to 7%, and their average monthly revenue rose by 11.4% versus the matched control group. The loyalty effect was stronger among customers with shorter prior tenure.
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
One telecommunications provider and one program context. The abstract does not report sample size or enough assignment detail to assess all sources of selection; the reported changes should not be assumed for other products or referral mechanics.
Possible founder application
Evaluate both sides of referral programs: the acquired customer and the referrer. If participation is self-selected, use a randomized encouragement or carefully designed comparison before attributing retention changes to the program.
Evidence access
Publisher abstract; full text access may vary
Journal publisher abstract; profile reports only the summarized provider setting and headline outcomes. Sample size and detailed assignment methods were not available in the abstract 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.