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YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy

Published: 06 June 2022 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 desktopRTB prices in the wild, and compare them with desktop and mobileRTB 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- syncronization increases the median value of displayed 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.

References

[1]
Michalis Pachilakis, Panagiotis Papadopoulos, Evangelos P. Markatos, and Nicolas Kourtellis. No more chasing waterfalls: A measurement study of the header bidding ad-ecosystem. In ACM IMC, pages 280--293, New York, NY, USA, 2019.
[2]
Panagiotis Papadopoulos, Nicolas Kourtellis, and Evangelos P Markatos. The cost of digital advertisement: Comparing user and advertiser views. In The World Wide Web Conference (WWW), pages 1479--1489, 2018.
[3]
Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, and Evangelos P. Markatos. User tracking in the post-cookie era: How websites bypass gdpr consent to track users. In The Web Conference (WWW), 2021.
[4]
Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa, Claudio Soriente, Ruben Cuevas, and Nikolaos Laoutaris. Beyond content analysis: Detecting targeted ads via distributed counting. In 15th CoNEXT, pages 110--122, 2019.
[5]
Lukasz Olejnik, Minh-Dung Tran, and Claude Castelluccia. Selling off user privacy at auction. In 21st NDSS, San Diego, California, USA, 2014.
[6]
Panagiotis Papadopoulos, Nicolas Kourtellis, Pablo Rodriguez Rodriguez, and Nikolaos Laoutaris. If you are not paying for it, you are the product: How much do advertisers pay to reach you? In ACM IMC, pages 142--156, 2017.
[7]
Nikolaos Laoutaris. Data transparency: Concerns and prospects [point of view]. Proceedings of the IEEE, 2018.
[8]
Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, and Nicolas Kourtellis. Stop tracking me bro! differential tracking of user demographics on hyper-partisan websites. In The Web Conference (WWW), 2020.
[9]
Panagiotis Papadopoulos, Nicolas Kourtellis, and Evangelos Markatos. Cookie synchronization: Everything you always wanted to know but were afraid to ask. In The World Wide Web Conference (WWW), pages 1432--1442, 2019.

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      cover image ACM Conferences
      SIGMETRICS/PERFORMANCE '22: Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
      June 2022
      132 pages
      ISBN:9781450391412
      DOI:10.1145/3489048
      • cover image ACM SIGMETRICS Performance Evaluation Review
        ACM SIGMETRICS Performance Evaluation Review  Volume 50, Issue 1
        SIGMETRICS '22
        June 2022
        118 pages
        ISSN:0163-5999
        DOI:10.1145/3547353
        Issue’s Table of Contents
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 06 June 2022

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