Reviews and reputation · Dynamic panel/time-series analysis of WOM measures and weekly box-office revenue.
Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue
Yong Liu (2006). Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue. Journal of Marketing. https://doi.org/10.1509/jmkg.70.3.74.
Plain-English take
WOM volume is positively related to box office and its effect varies over a movie’s life cycle; WOM is both an outcome of consumption and a predictor of later demand. For your marketing: Use it 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 panel/time-series analysis of WOM measures and weekly box-office revenue.
Movies released in theaters; online WOM volume/valence and weekly box-office revenue across the movie life cycle.
Judged from the publisher-described design and comparison; consult 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
What are the dynamics of movie WOM and how does it affect box-office revenue?
Design
Dynamic panel/time-series analysis of WOM measures and weekly box-office revenue.
Sample and setting
Movies released in theaters; online WOM volume/valence and weekly box-office revenue across the movie life cycle.
Reported result
What the study found
WOM volume is positively related to box office and its effect varies over a movie’s life cycle; WOM is both an outcome of consumption and a predictor of later demand.
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
Movie WOM and box office are observational and category-specific; simultaneity and unobserved marketing/publicity remain concerns.
Possible founder application
Use it 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 page identifies the exact title and abstract; Crossref metadata confirms author, year, journal, and DOI. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses publisher metadata/abstract 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.