Pricing and monetization · Comparative survey-based empirical modeling across subscription-service contexts.
A comparative investigation of factors affecting customer retention in the subscription economy
A. K. Singh, S. Sharma, R. K. Verma (2024). A comparative investigation of factors affecting customer retention in the subscription economy. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e36919
Plain-English take
Perceived value, satisfaction, trust, and service quality were significant retention correlates, with relative importance varying by service type.
How much weight to give this
2/5 Observational or survey evidence; interpret as association
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.
Comparative survey-based empirical modeling across subscription-service contexts.
Users of subscription-based digital services.
Comparison details need confirmation in the full paper.
Only the publisher page was checked; full-text methods are not established.
Double-blind? Blinding was not established from the publisher page; this is not evidence that blinding was or was not used.
Research question
What the authors investigated
A comparative investigation of factors affecting customer retention in the subscription economy?
Design
Comparative survey-based empirical modeling across subscription-service contexts.
Sample and setting
Users of subscription-based digital services.
Reported result
What the study found
Perceived value, satisfaction, trust, and service quality were significant retention correlates, with relative importance varying by service type.
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
Self-selection, cross-sectional survey data, and broad service categories limit causal inference and lifecycle generalization. The accessible publisher page was used for this listing; correction history was not independently checked.
Possible founder application
Use as a bounded example of a comparative investigation of factors affecting customer retention in the subscription economy; compare its context and design with your own market before applying its result.
Evidence access
Publisher article page; full-text availability varies and was not established in this review.
The directly fetched Elsevier/DOI record identifies a peer-reviewed Heliyon empirical customer-retention comparison. Publisher page was directly retrieved; detailed full-text methods were not independently verified.
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.