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Personalized Pricing and Information Sharing in a Distribution Channel

频道(广播) 分布(数学) 业务 计算机科学 电信 数学 数学分析
作者
Huiqi Guan,Xin Geng,Haresh Gurnani
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:1
标识
DOI:10.2139/ssrn.4451792
摘要

We consider a distribution channel comprising of a supplier and a retailer, where the retailer can collect customer data, use it to profile them, and personalize its retail prices based on this information. Depending on the retailer's data collection ability, two personalized pricing strategies are studied. The retailer uses Behavior-Based Pricing (BBP) if it can only tell customers with any prior history apart; the retailer uses Fully Personalized Pricing (FPP) if it can accurately predict the customers' true willingness-to-pay. Moreover, when the retailer shares the collected customer data, either in full or to a limited extent, with the supplier, the latter can also adopt the personalized pricing strategies in setting the wholesale price. Using a two-period game-theoretic model that considers the strategic behavior of the customers, we solve for the equilibrium results and compare them across different scenarios. Our analysis uncovers several counter-intuitive findings that generate interesting managerial insights. First, we show that the supplier and the retailer may have conflicting attitudes towards adopting personalized pricing strategies. Similarly, they may have opposing preferences on the sharing level of customer data. As a function of the degree of strategic behavior of customers (modeled using a discount factor of future profits), we determine the most-likely scenario: When the discount factor is either very small or very large, the scenario with partial information sharing is most likely to occur; otherwise, no information sharing is the likely outcome. In addition, we show that even though personalized pricing leads to price segmentation, it can increase overall consumer surplus and social welfare due to the enhanced market expansion effect. Finally, we discuss the potential benefit of decentralization and show that compared to an integrated firm, total profits for the decentralized channel can be higher if the retailer uses FPP and the supplier does not.
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