Customer behavior and adoption · Empirical analysis of online conversation data linked to market outcomes, comparing geographically dispersed versus concentrated conversations.
Using Online Conversations to Study Word-of-Mouth Communication
David Godes, Dina Mayzlin (2004). Using Online Conversations to Study Word-of-Mouth Communication. Marketing Science. https://doi.org/10.1287/mksc.1040.0071.
Plain-English take
The geographic dispersion of online conversations is associated with subsequent television ratings; the paper demonstrates how online conversations can measure WOM and predict performance. 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
3/5 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.
Empirical analysis of online conversation data linked to market outcomes, comparing geographically dispersed versus concentrated conversations.
Online discussion/conversation records about television shows, linked to show-level ratings and geographic variation.
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
Can online conversations be used as a measurable predictor of WOM and market performance?
Design
Empirical analysis of online conversation data linked to market outcomes, comparing geographically dispersed versus concentrated conversations.
Sample and setting
Online discussion/conversation records about television shows, linked to show-level ratings and geographic variation.
Reported result
What the study found
The geographic dispersion of online conversations is associated with subsequent television ratings; the paper demonstrates how online conversations can measure WOM and predict performance.
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 setting is television and the study is observational; conversation measures may reflect selection and cannot cleanly separate WOM influence from correlated demand.
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.
INFORMS publisher page supplies exact title, authors, journal and pages; the paper’s abstract/method describes online conversations and TV-market outcome analysis. 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.