Reviews · Analytical model illustrated with industry data

Third-Party Product Review and Firm Marketing Strategy

Marketing Science · 2005

Yubo Chen, Jinhong Xie

Summary

Depending on product and review conditions, advertising can be a better response than price changes.

For your marketing

Possible founder application

Treat third-party badges as a positioning choice to test, not an automatic conversion lift. Consider whether the review source and product attributes make the endorsement credible and distinctive.

Reported result

What the study found

Depending on product and review conditions, advertising can be a better response than price changes. Award-logo advertising can hurt the winning product, and increasing ad spend to publicize a favorable review is not always optimal.

Research question

What the authors investigated

How should firms adjust price and advertising after third-party product reviews or awards?

Design

Analytical model of strategic responses to reviews, illustrated with data from printers and running shoes.

Sample and setting

Two product industries used to illustrate the theory; the main contribution is a model rather than a causal field test.

Scope and transfer

Limitations to keep in view

The recommendations are conditional on the model's assumptions and product-market conditions. Illustrative industry data do not constitute a general causal estimate of review effects.

Research sources

INFORMS publisher abstract retrieved with Firecrawl; article described as theory with illustrative industry data.

Study strength

2.5/5 Limited or context-dependent evidence

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 · 1/2

This is theory or a framework, not a direct empirical test of the marketing outcome.

Sample · 0.4/1

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

Comparison · 0.55/1

No participant control group; conclusions are conditional on the model or synthesis assumptions.

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.