Reviews and reputation · Meta-analysis of empirical studies
How Online Product Reviews Affect Retail Sales: A Meta-analysis
Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T. (2014). Journal of Retailing, 90(2), 217–232.
Plain-English take
Review valence and volume were positively related to sales elasticities. For your marketing: Use as evidence that review volume and valence can matter while designing review and reputation programs.
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.
A synthesis can show patterns across studies; its strength depends on the included evidence.
A usable sample size is not stated in the profile's accessible source.
No single control group; check inclusion criteria, study quality, and variation across settings.
This profile could be checked against an abstract or metadata, not the full paper.
Double-blind? Not applicable in the same way as a participant-treatment experiment.
Research question
What the authors investigated
How are review valence and volume related to retail sales, and which settings moderate those relationships?
Design
Meta-analysis of 26 empirical studies producing 443 sales elasticities.
Sample and setting
Published studies of online product reviews and retail sales across different products, review sites, reviewer types, and use situations.
Reported result
What the study found
Review valence and volume were positively related to sales elasticities. The reported relationships were stronger on third-party sites, when critic reviews were included, and for higher-involvement products.
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 evidence base is retail/product focused and consists of empirical studies available by 2014. Pooled associations do not guarantee causal effects or SaaS-specific magnitudes.
Possible founder application
Use as evidence that review volume and valence can matter while designing review and reputation programs. For SaaS, monitor independent review sources and test whether reviews influence qualified pipeline or conversion.
Evidence access
Publisher abstract and highlights; full text may require access
ScienceDirect publisher abstract and highlights inspected with Firecrawl; the publisher reports 26 studies and 443 elasticities.
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.