Pricing for new products in the presence of online review inaccuracy: free trial or not?

Purpose When a new product is launched, consumers are typically uncertain about its true quality. Early online reviews serve as important quality signals that help consumers evaluate product quality. However, review inaccuracy caused by factors such as delivery delays, consumer herding behavior and review manipulation may mislead subsequent consumers, thereby affecting the retailer’s pricing decisions and profitability. This paper aims to analyze the adverse effects of review inaccuracy and examine whether free trial can mitigate these effects. Design/methodology/approach This paper considers two scenarios: with and without free trial. A two-period game model is constructed to analyze the retailer’s optimal pricing decisions under each scenario. The effectiveness of free trial is further examined based on review accuracy, the prior probability that the new product is of high quality and the unit marketing cost of free trial. Findings The results show that review inaccuracy reduces consumers’ perceived review credibility. Although free trial enhances consumers’ perceived review credibility, it is not always effective in mitigating the adverse effects of review inaccuracy on the retailer’s profit. Specifically, free trial effectively mitigates these effects only when the prior probability that the new product is of high quality is high, or when this prior probability is low but the unit marketing cost of free trial is very low. In addition, as review accuracy increases, the likelihood that the retailer adopts free trial as a mitigation strategy decreases. Originality/value In the presence of online review inaccuracy, we characterize consumers’ belief updating regarding product quality based on Bayes’ rule and clarify the relationship between consumers’ beliefs and market demand. Meanwhile, we analyze the optimal pricing decisions for a new product under two scenarios – with and without free trial – thereby enriching the literature on online reviews and new product pricing. Furthermore, we treat free trial as a review-quality intervention and examine its effectiveness in mitigating the adverse effects of review inaccuracy, thereby extending the research perspective on the free trial strategy. The findings provide managerial insights for retailers’ operational decisions, e-commerce platform governance and industry policy formulation in the presence of online review inaccuracy.

Authors

Institutions

Publication Details

Journal
Asia Pacific Journal of Marketing and Logistics
Published
2026-10-07
DOI
https://doi.org/10.1108/apjml-04-2026-0919
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pricing for new products in the presence of online review inaccuracy: free trial or not?

Xu He, Hao Li, Xu Huang
Asia Pacific Journal of Marketing and Logistics
Supply Chain and Inventory Management
article

Pricing for new products in the presence of online review inaccuracy: free trial or not?

Xu He, Hao Li, Xu Huang
article en

Abstract

Purpose When a new product is launched, consumers are typically uncertain about its true quality. Early online reviews serve as important quality signals that help consumers evaluate product quality. However, review inaccuracy caused by factors such as delivery delays, consumer herding behavior and review manipulation may mislead subsequent consumers, thereby affecting the retailer’s pricing decisions and profitability. This paper aims to analyze the adverse effects of review inaccuracy and examine whether free trial can mitigate these effects. Design/methodology/approach This paper considers two scenarios: with and without free trial. A two-period game model is constructed to analyze the retailer’s optimal pricing decisions under each scenario. The effectiveness of free trial is further examined based on review accuracy, the prior probability that the new product is of high quality and the unit marketing cost of free trial. Findings The results show that review inaccuracy reduces consumers’ perceived review credibility. Although free trial enhances consumers’ perceived review credibility, it is not always effective in mitigating the adverse effects of review inaccuracy on the retailer’s profit. Specifically, free trial effectively mitigates these effects only when the prior probability that the new product is of high quality is high, or when this prior probability is low but the unit marketing cost of free trial is very low. In addition, as review accuracy increases, the likelihood that the retailer adopts free trial as a mitigation strategy decreases. Originality/value In the presence of online review inaccuracy, we characterize consumers’ belief updating regarding product quality based on Bayes’ rule and clarify the relationship between consumers’ beliefs and market demand. Meanwhile, we analyze the optimal pricing decisions for a new product under two scenarios – with and without free trial – thereby enriching the literature on online reviews and new product pricing. Furthermore, we treat free trial as a review-quality intervention and examine its effectiveness in mitigating the adverse effects of review inaccuracy, thereby extending the research perspective on the free trial strategy. The findings provide managerial insights for retailers’ operational decisions, e-commerce platform governance and industry policy formulation in the presence of online review inaccuracy.

Asia Pacific Journal of Marketing and Logistics
Chongqing Jiaotong University (CN)
Openalex Percentile: Top 5%
Supply Chain and Inventory Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.