Customer behavior and adoption · Dynamic empirical model of service usage over time.
A Dynamic Model of Customers' Usage of Services
Ruth N. Bolton, Katherine N. Lemon (1999). A Dynamic Model of Customers' Usage of Services. Journal of Marketing Research. https://doi.org/10.1177/002224379903600203.
Plain-English take
Usage is dynamically related to prior usage and customer perceptions, offering evidence relevant to engagement and retention management. For your marketing: Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
How much weight to give this
2.5/5 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.
Dynamic empirical model of service usage over time.
Customers using a continuous service; the publisher record identifies customer usage as the longitudinal outcome.
Judged from the publisher-described design and comparison; inspect the paper for complete analysis.
Publisher page and abstract were retrieved 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 do prior usage, service experiences and customer perceptions dynamically shape subsequent service usage?
Design
Dynamic empirical model of service usage over time.
Sample and setting
Customers using a continuous service; the publisher record identifies customer usage as the longitudinal outcome.
Reported result
What the study found
Usage is dynamically related to prior usage and customer perceptions, offering evidence relevant to engagement and retention management.
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 abstract page does not state sample size or provider; observational dynamic modeling limits causal interpretation.
Possible founder application
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Evidence access
Publisher record and abstract retrieved; consult the linked paper for full methods and tables.
SAGE publisher title/DOI record identifies the dynamic customer-usage model and empirical service context. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses the publisher abstract/metadata and does not claim independent review of unavailable 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.