Designing Information to Engage Customers

• 成果类型: Article; Early Access
• 署名作者: Guo, Liang
• 署名单位: City University of Hong Kong
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2022.03503
• 发表日期: 2025
• 关键词: Bayesian persuasion; customer engagement; customization; information design; holdup problem

摘要

Collaborative customization is common in many markets. Sellers and customers can collectively discover the value of the product's basic design. Customers' willingness to pay can also be increased by being engaged to improve the product design. We study how a seller can design the information structure of collective learning about the product's basic value to induce costly customer engagement. We consider a setting in which the parties' expected payoffs are determined endogenously through the strategic interaction between seller pricing and customer engagement and purchase. The customer tends to be engaged in equilibrium, as the uncertainty on the product's basic value becomes higher to dilute the responsiveness of the optimal price to customer engagement. Therefore, the seller seeks to maximize the probability of generating an intermediate posterior belief. Thus, the optimal information design involves either exaggerating or downplaying the product's basic value when the prior is low or high, respectively. We show that considering restrictive information structures can generate qualitatively different implications. We also examine how the unobservability of engagement may influence the parties' strategic interaction, their expected payoffs, and the seller-optimal information design. Interestingly, unobservability may lead to lower equilibrium engagement, hurt the seller, render the customer's equilibrium expected payoff to increase as customer engagement becomes less important or more costly, and yield more or less information provision.