# YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy

## TL;DR

YourAdvalue is a privacy-preserving tool that measures real-time bidding ad prices and user targeting, revealing significant increases in prices and demographic targeting trends over recent years.

## Contribution

It introduces a novel privacy-preserving system for measuring RTB ad prices and user targeting, with extensive real-world deployment and data analysis.

## Key findings

- RTB prices increased 4.6X since 2013
- Cookie synchronization raises ad value by 19%
- Women and younger users face more targeted advertising

## 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 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.