Pricing and product adoption · Market experiment and demand modeling
Optimal Pricing of New Subscription Services: Analysis of a Market Experiment
Danaher, P. J. (2002). Marketing Science, 21(2), 119–138.
Plain-English take
The study demonstrates an empirical approach to evaluating alternative subscription prices using market-experiment evidence rather than relying only on stated preferences or managerial judgment. For your marketing: This is a foundational example of testing prices in market conditions.
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
How should a firm price a new subscription service using evidence from a market experiment?
Design
The article analyzes market-experiment data for a new subscription service and uses the experiment to inform pricing decisions.
Sample and setting
A new subscription-service market experiment; the publisher record inspected does not expose enough abstract detail to report the service or sample size.
Reported result
What the study found
The study demonstrates an empirical approach to evaluating alternative subscription prices using market-experiment evidence rather than relying only on stated preferences or managerial judgment.
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 record retrieved here provides limited abstract detail. The service and market are specific, and an older experiment may not reflect current digital acquisition or pricing conditions.
Possible founder application
A foundational example of testing prices in market conditions. Review the full paper to understand its experimental design and demand model before adapting it to software subscriptions.
Evidence access
Publisher record; abstract-level details
INFORMS publisher bibliographic record and issue metadata; summary is intentionally restricted because the abstract text was not fully accessible.
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.