SaaS adoption and monetization · Peer-reviewed empirical study or research synthesis
The Cost of Free: The Effects of “Wait-for-Free” Pricing Schemes on the Monetization of Serialized Digital Content
Choi, A. A., Rhee, K. E., Yoon, C., & Oh, W. (2023). The Cost of Free: The Effects of “Wait-for-Free” Pricing Schemes on the Monetization of Serialized Digital Content. MIS Quarterly: Management Information Systems.
Plain-English take
Wait-for-free pricing generated new demand and increased serialized-content sales, with sustained long-run profits in the reported setting. As users accumulated free episodes, conversion to instant purchase rose up to a threshold and then declined; one free episode could raise purchase likelihood by up to 13%. Founder-use interpretation: Use this as a question to test in your own product context, not as a universal benchmark. The publisher describes digital entertainment rather than B2B software and does not disclose the platform/sample count in the record. Thus transfer to SaaS trial design, usage limits, and enterprise pricing is an open empirical question.
How much weight to give this
3.5/5 Relevant empirical or synthesis evidence with transfer limits
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.
Based on the reported design.
Context and reporting are stated; representativeness is bounded.
Comparison detail varies by publisher access.
Publisher record directly retrieved; full methods may not be accessible.
Double-blind? Not established in this retrieval.
Research question
What the authors investigated
The Cost of Free: The Effects of “Wait-for-Free” Pricing Schemes on the Monetization of Serialized Digital Content?
Design
Combination of analytical/economic modeling and empirical assessment of wait-for-free consumer behavior, including switching from waiting to immediate purchase.
Sample and setting
Serialized digital entertainment content on online platforms, where users can wait to obtain an episode free or pay immediately. The publisher record does not disclose the platform identity or a respondent count.
Reported result
What the study found
Wait-for-free pricing generated new demand and increased serialized-content sales, with sustained long-run profits in the reported setting. As users accumulated free episodes, conversion to instant purchase rose up to a threshold and then declined; one free episode could raise purchase likelihood by up to 13%.
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 publisher describes digital entertainment rather than B2B software and does not disclose the platform/sample count in the record. Thus transfer to SaaS trial design, usage limits, and enterprise pricing is an open empirical question.
Possible founder application
Use this as a question to test in your own product context, not as a universal benchmark. The publisher describes digital entertainment rather than B2B software and does not disclose the platform/sample count in the record. Thus transfer to SaaS trial design, usage limits, and enterprise pricing is an open empirical question.
Evidence access
Publisher article or abstract page directly retrieved with Firecrawl; full methods access varies.
Publisher record directly retrieved with Firecrawl (reference 01a122ca-77a7-7024-b16c-30ca56d78a4a); summary is a careful paraphrase of the accessible record.
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.