Pricing and monetization · Archival observational study using logistic regression to examine factors associated with paying-user termination probability.
What factors influence termination behaviour on freemium platforms? An empirical analysis of the termination probability among paying users
Nina Lehmann-Zschunke (2024). What factors influence termination behaviour on freemium platforms? An empirical analysis of the termination probability among paying users. Journal of Consumer Behaviour. https://doi.org/10.1002/cb.2363
Plain-English take
Termination probability was greater for shorter subscriptions and for users who had previously terminated a subscription. High-involvement premium users, members receiving notifications about new content, and users with more video views were less likely to terminate.
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.
Archival observational study using logistic regression to examine factors associated with paying-user termination probability.
Data from 20,319 paying users of a freemium platform offering information on equestrian sports.
See the full paper for comparison conditions and analysis.
Publisher page checked; full-text methods not independently reviewed.
Double-blind? Blinding was not established from the checked publisher page.
Research question
What the authors investigated
What does what factors influence termination behaviour on freemium platforms? an empirical analysis of the termination probability among paying users show about customer decisions or business outcomes?
Design
Archival observational study using logistic regression to examine factors associated with paying-user termination probability.
Sample and setting
Data from 20,319 paying users of a freemium platform offering information on equestrian sports.
Reported result
What the study found
Termination probability was greater for shorter subscriptions and for users who had previously terminated a subscription. High-involvement premium users, members receiving notifications about new content, and users with more video views were less likely to terminate.
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
Not reported in the fetched abstract/page; omitted rather than inferred. Full article methods and correction history were not independently reviewed.
Possible founder application
Use this study as a bounded example of what factors influence termination behaviour on freemium platforms? an empirical analysis of the termination probability among paying users; assess whether its population, intervention and outcome match your own decision.
Evidence access
Publisher article page; full-text access varies and was not established in this check.
Publisher page directly retrieved; candidate metadata and reported result checked against that page. Full methods were 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.