Pricing and monetization · Quasi-experiment using propensity-score matching and difference-in-differences, supplemented by a lab experiment on perceived lock-in.
The effect of subscriptions on customer engagement
Banggang Wu, Gengxuan Guo, Peng Luo (2024). The effect of subscriptions on customer engagement. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2024.114638.
Plain-English take
After accounting for self-selection, subscriptions produced large, persistent increases in content consumption and content generation (lasting at least a month); the effect was stronger for less-engaged users. Subscription increased perceived lock-in, which increased engagement intention. For your marketing: Use this as a pricing or packaging hypothesis and define outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.
How much weight to give this
3.5/5 Moderate evidence for a specific setting
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.
Quasi-experiment using propensity-score matching and difference-in-differences, supplemented by a lab experiment on perceived lock-in.
Users of a leading mobile music community; the observational data span two months and compare subscribers with non-subscribers. The publisher page also reports a lab experiment.
Based on the publisher-described design and comparison; see the article for complete analysis.
Publisher record was fetched directly; full text was not assumed open.
Double-blind? Blinding was not established from the retrieved publisher record.
Research question
What the authors investigated
How does joining an online-community subscription affect users’ content consumption and content generation, and does perceived lock-in explain heterogeneous effects by prior engagement?
Design
Quasi-experiment using propensity-score matching and difference-in-differences, supplemented by a lab experiment on perceived lock-in.
Sample and setting
Users of a leading mobile music community; the observational data span two months and compare subscribers with non-subscribers. The publisher page also reports a lab experiment.
Reported result
What the study found
After accounting for self-selection, subscriptions produced large, persistent increases in content consumption and content generation (lasting at least a month); the effect was stronger for less-engaged users. Subscription increased perceived lock-in, which increased engagement intention.
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 stated on the publisher article-preview page fetched in this run.
Possible founder application
Use this as a pricing or packaging hypothesis and define outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.
Evidence access
Publisher abstract/metadata retrieved; consult the linked paper for full methods and tables.
The publisher abstract says subscriptions increase both content consumption and generation through perceived lock-in, with a stronger positive effect for less-engaged users. The article preview describes a two-month mobile-music-community dataset, propensity-score matching, DID, and a lab experiment. Direct publisher-page retrieval was recorded on 2026-10-09; profile summarizes the accessible record and does not claim independent review of inaccessible full text.
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.