The welfare and allocative impact of targeted advertising

Veronica Marotta, Kaifu Zhang, Alessandro Acquisti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We investigate the welfare implications and the allocative effects of different consumer data-handling regimes in online targeted advertising. We develop a three-players model that includes firms, consumers, and an intermediary - the ad exchange - And analyze three scenarios that differ in the type of consumers' data available during the targeting: A case in which only the horizontal information (consumers' brand preferences) is available; a case in which only vertical information (consumers' purchasing power) is available; a case in which both pieces of information are available. We find that there exist conditions under which the intermediary obtains the highest proportion of benefits from targeting and, in general, the intermediary's incentives regarding the type of consumer information to be used for targeting are misaligned with the incentives of firms and/or consumers. Furthermore, consumers' surplus from targeting is higher when only specific types of personal information are made available during the targeting process.

Original languageEnglish (US)
Title of host publication2015 International Conference on Information Systems
Subtitle of host publicationExploring the Information Frontier, ICIS 2015
PublisherAssociation for Information Systems
ISBN (Print)9780996683111
StatePublished - 2015
Event2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015 - Fort Worth, United States
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015

Other

Other2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015
Country/TerritoryUnited States
CityFort Worth
Period12/13/1512/16/15

Keywords

  • Economics and value of IS
  • Online actions
  • Targeted advertising

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