YourAdvalue

Michalis Pachilakis, P. Papadopoulos, Nikolaos Laoutaris, E. Markatos, N. Kourtellis
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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.
YourAdvalue
实时竞价(RTB)协议至今已有十多年的历史。在此期间,一些测量论文研究了竞价策略、个人信息流和通过RTB展示广告的成本。在本文中,我们介绍了YourAdvalue,这是一种隐私保护工具,可以通过RTB以简单直观的方式向最终用户展示其广告价值。使用YourAdvalue,我们在野外测量桌面rtb价格,并将其与过去工作报告的桌面和移动rtb价格进行比较。我们介绍了它如何估计加密的广告价格,以及它如何在将结果报告给数据服务器进行分析的同时保护用户隐私。我们部署了我们的系统,传播了它的浏览器扩展,并收集了200个用户的数据,包括在11个月内的12000次广告展示。通过分析这个数据集,我们发现桌面RTB价格比2013年的桌面RTB价格增长了4.6倍,比2015年的移动RTB价格增长了3.8倍。我们还研究了用户统计数据与RTB生态系统跟踪强度之间的关系,从而导致更高的广告价格。我们发现,通过cookie同步在广告商和/或数据代理之间交换数据可使显示广告的中位数增加19%。我们还发现,女性和年轻用户比男性或老年用户更有针对性,遭受更多的跟踪(通过cookie同步)。由于我们数据集中的这种定位,女性的广告价值(i)比男性高2.4倍,(ii) 25-34岁的人比35-44岁的人高2.5倍,(iii)在周末和清晨最昂贵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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