research-article

YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy

Authors:

Michalis Pachilakis,

Panagiotis Papadopoulos,

Nikolaos Laoutaris,

Evangelos P. Markatos,

Nicolas KourtellisAuthors Info & Claims

Proceedings of the ACM on Measurement and Analysis of Computing Systems, Volume 5, Issue 3

Article No.: 32, Pages 1 - 26

https://doi.org/10.1145/3491044

Published: 15 December 2021 Publication History

Abstract

The Real Time Bidding (RTB) protocol is by now more than a decade old. During this time, a handful of measurement papers have looked at bidding strategies, personal information flow, and cost of display advertising through RTB. In this paper, we present YourAdvalue, a privacy-preserving tool for displaying to end-users in a simple and intuitive manner their advertising value as seen through RTB. Using YourAdvalue, we measure desktop RTB prices in the wild, and compare them with desktop and mobile RTB prices reported by past work. We present how it estimates ad prices that are encrypted, and how it preserves user privacy while reporting results back to a data-server for analysis. We deployed our system, disseminated its browser extension, and collected data from 200 users, including 12000 ad impressions over 11 months. By analyzing this dataset, we show that desktop RTB prices have grown 4.6x over desktop RTB prices measured in 2013, and 3.8x over mobile RTB prices measured in 2015. We also study how user demographics associate with the intensity of RTB ecosystem tracking, leading to higher ad prices. We find that exchanging data between advertisers and/or data brokers through cookie-synchronization increases the median value of display ads by 19%. We also find that female and younger users are more targeted, suffering more tracking (via cookie synchronization) than male or elder users. As a result of this targeting in our dataset, the advertising value (i) of women is 2.4x higher than that of men, (ii) of 25-34 year-olds is 2.5x higher than that of 35-44 year-olds, (iii) is most expensive on weekends and early mornings.

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Cited By

Papadogiannakis EPapadopoulos PMarkatos EKourtellis NChua TNgo CKumar RLauw HKa-Wei Lee R(2024)Ad Laundering: How Websites Deceive Advertisers into Rendering Ads Next to Illicit ContentCompanion Proceedings of the ACM Web Conference 202410.1145/3589335.3651466(782-785)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589335.3651466
Zeng EMcAmis RKohno TRoesner FBarakat CPelsser CBenson TChoffnes D(2022)What factors affect targeting and bids in online advertising?Proceedings of the 22nd ACM Internet Measurement Conference10.1145/3517745.3561460(210-229)Online publication date: 25-Oct-2022
https://dl.acm.org/doi/10.1145/3517745.3561460

Index Terms

YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy
1. Information systems
  1. World Wide Web
    1. Online advertising
      1. Display advertising
2. Networks
  1. Network properties
    1. Network privacy and anonymity

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cover image Proceedings of the ACM on Measurement and Analysis of Computing Systems

Proceedings of the ACM on Measurement and Analysis of Computing Systems Volume 5, Issue 3

POMACS

December 2021

435 pages

EISSN:2476-1249

DOI:10.1145/3506735

Editors:
Augustin Chaintreau
Columbia University
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Leana Golubchik
University of Southern California
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Zhi-Li Zhang
University of Minnesota

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Copyright © 2021 ACM.

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Publication History

Published: 15 December 2021

Published in POMACS Volume 5, Issue 3

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Cited By

Papadogiannakis EPapadopoulos PMarkatos EKourtellis NChua TNgo CKumar RLauw HKa-Wei Lee R(2024)Ad Laundering: How Websites Deceive Advertisers into Rendering Ads Next to Illicit ContentCompanion Proceedings of the ACM Web Conference 202410.1145/3589335.3651466(782-785)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589335.3651466
Zeng EMcAmis RKohno TRoesner FBarakat CPelsser CBenson TChoffnes D(2022)What factors affect targeting and bids in online advertising?Proceedings of the 22nd ACM Internet Measurement Conference10.1145/3517745.3561460(210-229)Online publication date: 25-Oct-2022
https://dl.acm.org/doi/10.1145/3517745.3561460

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