Search Steering in Two-Sided Platforms

Many two-sided platforms are known to steer customers toward certain products based on their willingness to pay. In this article, we study platforms’ incentives to adopt this type of market segmentation and present conditions under which this can generate distortions that negatively impact the surplus from buyers and sellers. In our environment, a monopolistic platform matches sellers with buyers. Upon being matched, each pair of buyer and seller negotiates prices. If they choose to transact, the platform receives a commission fee proportional to the value of the transaction plus a flat fee per transaction. The platform is assumed to have full information about customers’ and sellers’ outside options. We show that, as long as the market is in excess supply or as long as there is a crossing between the demand and supply curves , the platform’s optimal matching is suboptimal from the perspective of buyers and sellers.

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Publication Details

Journal
ACM Transactions on Economics and Computation
Published
2024-09-21
DOI
https://doi.org/10.1145/3696471
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
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article

Search Steering in Two-Sided Platforms

Pedro Vaissman Guinsburg, Gustavo Saraiva
ACM Transactions on Economics and Computation
Optimization and Search Problems
article

Search Steering in Two-Sided Platforms

Pedro Vaissman Guinsburg, Gustavo Saraiva
article en

Abstract

Many two-sided platforms are known to steer customers toward certain products based on their willingness to pay. In this article, we study platforms’ incentives to adopt this type of market segmentation and present conditions under which this can generate distortions that negatively impact the surplus from buyers and sellers. In our environment, a monopolistic platform matches sellers with buyers. Upon being matched, each pair of buyer and seller negotiates prices. If they choose to transact, the platform receives a commission fee proportional to the value of the transaction plus a flat fee per transaction. The platform is assumed to have full information about customers’ and sellers’ outside options. We show that, as long as the market is in excess supply or as long as there is a crossing between the demand and supply curves , the platform’s optimal matching is suboptimal from the perspective of buyers and sellers.

ACM Transactions on Economics and ComputationVol. 12(4)
Pontificia Universidad Católica de Chile (CL)
Openalex Percentile: Top 83%
Optimization and Search Problems
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Search Steering in Two-Sided Platforms — Pedro Vaissman Guinsburg, Gustavo Saraiva · ACM Transactions on Economics and Computation (2024) | TGRS Research Map | TGRS