Reviews · Meta-analysis of empirical studies

How Online Product Reviews Affect Retail Sales: A Meta-analysis

Journal of Retailing · 2014

Kristopher Floyd, Ryan Freling, Saad Alhoqail, Hyun Young Cho, Traci Freling

Summary

Review valence and volume were positively related to sales elasticities.

For your marketing

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.

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.

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.

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.

Research sources

ScienceDirect publisher abstract and highlights inspected with Firecrawl; the publisher reports 26 studies and 443 elasticities.

Study strength

3.5/5 Useful evidence with meaningful caveats

How this was assessed

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.

Design · 1.8/2

A synthesis can show patterns across studies; its strength depends on the included evidence.

Sample · 0.4/1

A usable sample size is not stated in the profile's accessible source.

Comparison · 0.75/1

No single control group; check inclusion criteria, study quality, and variation across settings.

Can we check it? · 0.5/1

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.