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Digital Advertising in a Post-Cookie World: Charting the Impact of Google's Topics API

Jesús Romero, Ángel Cuevas, Rubén Cuevas

TL;DR

The study explores the potential environmental implications of Google's actions, highlighting the need to carefully consider policy and regulatory measures to ensure fair competition and privacy protection and contributes valuable insights into the evolving dynamics of digital advertising.

Abstract

Integrating Google's Topics API into the digital advertising ecosystem represents a significant shift toward privacy-conscious advertising practices. This article analyses the implications of implementing Topics API on ad networks, focusing on competition dynamics and ad space accessibility. Through simulations based on extensive datasets capturing user behavior and market share data for ad networks, we evaluate metrics such as Ad Placement Eligibility, Low Competition Rate, and solo competitor. The findings reveal a noticeable impact on ad networks, with larger players strengthening their dominance and smaller networks facing challenges securing ad spaces and competing effectively. Moreover, the study explores the potential environmental implications of Google's actions, highlighting the need to carefully consider policy and regulatory measures to ensure fair competition and privacy protection. Overall, this research contributes valuable insights into the evolving dynamics of digital advertising and highlights the importance of balancing privacy with competition and innovation in the online advertising landscape.

Digital Advertising in a Post-Cookie World: Charting the Impact of Google's Topics API

TL;DR

The study explores the potential environmental implications of Google's actions, highlighting the need to carefully consider policy and regulatory measures to ensure fair competition and privacy protection and contributes valuable insights into the evolving dynamics of digital advertising.

Abstract

Integrating Google's Topics API into the digital advertising ecosystem represents a significant shift toward privacy-conscious advertising practices. This article analyses the implications of implementing Topics API on ad networks, focusing on competition dynamics and ad space accessibility. Through simulations based on extensive datasets capturing user behavior and market share data for ad networks, we evaluate metrics such as Ad Placement Eligibility, Low Competition Rate, and solo competitor. The findings reveal a noticeable impact on ad networks, with larger players strengthening their dominance and smaller networks facing challenges securing ad spaces and competing effectively. Moreover, the study explores the potential environmental implications of Google's actions, highlighting the need to carefully consider policy and regulatory measures to ensure fair competition and privacy protection. Overall, this research contributes valuable insights into the evolving dynamics of digital advertising and highlights the importance of balancing privacy with competition and innovation in the online advertising landscape.
Paper Structure (14 sections, 3 figures)

This paper contains 14 sections, 3 figures.

Figures (3)

  • Figure 1: On the figure, can be seen five plots that refer to user groups' percentiles 10, 25, 50, 75, and 90 of visited pages. Each dot represents an ad network with its presence and the ratio of ad spaces with fewer competitors than possible. The respective Spearman's correlations are 0.76, 0.68, 0.76, 0.76, 0.79
  • Figure 2: On the figure, can be seen five plots that refer to user groups' percentiles 10, 25, 50, 75, and 90 of visited pages. Each dot represents an ad network with its presence and the ratio of ad spaces where they were the only competitors. The respective Spearman's correlations are 0.74, 0.75, 0.74, 0.67, 0.72
  • Figure 3: On the figure, can be seen five plots that refer to user groups' percentiles 10, 25, 50, 75, and 90 of visited pages. Each dot represents an ad network with its presence and the ratio of ad spaces where they could compete. The respective Spearman's correlations are 0.81, 0.70, 0.81, 0.83, 0.83