Information disclosure and partner management in affiliate marketing

Sharadhi Alape Suryanarayana, David Sarne, Sarit Kraus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The recent massive proliferation of affiliate marketing suggests a new e-commerce paradigm which involves sellers, affiliates and the platforms that connect them. In particular, the fact that prospective buyers may become acquainted with the promotion through more than one affiliate to whom they are connected calls for new mechanisms for compensating affiliates for their promotional efforts. In this paper, we study the problem of a platform that needs to decide on the commission to be awarded to affiliates for promoting a given product or service. Our equilibrium-based analysis, which applies to the case where affiliates are a priori homogeneous and self-interested, enables showing that a minor change in the way the platform discloses information to the affiliates results in a tremendous (positive) effect on the platform’s expected profit. In particular, we show that with the revised mechanism the platform can overcome the multi-equilibria problem that arises in the traditional mechanism and can obtain a profit which is at least as high as the maximum profit in any of the equilibria that hold in the latter.

Original languageEnglish
Title of host publicationProceedings of the 1st International Conference on Distributed Artificial Intelligence, DAI 2019
ISBN (Electronic)9781450376563
DOIs
StatePublished - 13 Oct 2019
Event1st International Conference on Distributed Artificial Intelligence, DAI 2019 - Beijing, China
Duration: 13 Oct 201915 Oct 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st International Conference on Distributed Artificial Intelligence, DAI 2019
Country/TerritoryChina
CityBeijing
Period13/10/1915/10/19

Keywords

  • Affiliate marketing
  • Dynamic pricing
  • Equilibrium
  • Mechanism design

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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