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10.1145/2187836.2187852acmotherconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
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How effective is targeted advertising?

Published: 16 April 2012 Publication History

Abstract

Advertisers are demanding more accurate estimates of the impact of targeted advertisements, yet no study proposes an appropriate methodology to analyze the effectiveness of a targeted advertising campaign, and there is a dearth of empirical evidence on the effectiveness of targeted advertising as a whole. The targeted population is more likely to convert from advertising so the response lift between the targeted and untargeted group to the advertising is likely an overestimate of the impact of targeted advertising. We propose a difference-in-differences estimator to account for this selection bias by decomposing the impact of targeting into selection bias and treatment effects components. Using several large-scale online advertising campaigns, we test the effectiveness of targeted advertising on brand-related searches and clickthrough rates. We find that the treatment effect on the targeted group is about twice as large for brand-related searches, but naively estimating this effect without taking into account selection bias leads to an overestimation of the lift from targeting on brand-related searches by almost 1,000%.

Supplementary Material

ZIP File (fp1272.zip)
== AUXILIARY AND SUPPLEMENTARY MATERIAL FOR FARAHAT AND BAILEY == HOW EFFECTIVE IS TARGETED ADVERTISING? == PUBLISHED IN THE PROCEEDINGS OF WWW'2012, April 16-20, 2012, Lyon, France == The online appendix of all data, tables, and results are found in the pdf file fp1272.pdf.

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Published In

cover image ACM Other conferences
WWW '12: Proceedings of the 21st international conference on World Wide Web
April 2012
1078 pages
ISBN:9781450312295
DOI:10.1145/2187836
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Univ. de Lyon: Universite de Lyon

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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Author Tags

  1. behavioral targeting (BT)
  2. clickthrough rate (CTR)
  3. field experiments
  4. online advertising
  5. selection bias
  6. targeted advertising

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WWW 2012
Sponsor:
  • Univ. de Lyon
WWW 2012: 21st World Wide Web Conference 2012
April 16 - 20, 2012
Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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  • (2024)A systematic data-driven approach for targeted marketing in enterprise information systemEnterprise Information Systems10.1080/17517575.2024.235677018:8Online publication date: 29-May-2024
  • (2024)Overwhelming targeting options: Selecting audience segments for online advertisingInternational Journal of Research in Marketing10.1016/j.ijresmar.2023.08.00441:1(24-40)Online publication date: Mar-2024
  • (2023)Digital Platforms: Payments and the Provision of PrivacySSRN Electronic Journal10.2139/ssrn.4526163Online publication date: 2023
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  • (2023)User Perceptions and Experiences of Targeted Ads on Social Media Platforms: Learning from Bangladesh and IndiaProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581498(1-15)Online publication date: 19-Apr-2023
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  • (2023)A Mining Town in a Digital Land: Browser-Based Cryptocurrency Mining as an Alternative to Online AdvertisingInformation Systems Frontiers10.1007/s10796-023-10386-626:2(609-631)Online publication date: 5-Apr-2023
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