3rd-party Cookies

The testing season of cookieless tools has started with the announcement of Origin Trials for the Privacy Sandbox proposals. Adtech is now filled with various opportunities for testing – contextual targeting, identity solutions, first-party publisher’s audience data, or group-based methods. It is high time to leave feedback about specific tools in the places where it matters.

Have you ever downloaded the data Facebook has on you? Or Google? The sheer breadth of data collection has 86% of consumers worried, and this has led to a number of users leaving data-hungry social media platforms. It has also forced organizations like Google to do some soul-searching and adjust their approach to user data, notably by retiring third-party cookies.

In 2023 Google announced the depreciation of third-party cookies and began the development of the Google Privacy Sandbox. However, the deadline has once again been pushed back, this time to 2025]. The reason? “The need for more time to evaluate and test the new technologies.” Despite positive developments, RTB House’s own tests of the FLEDGE proposal, with nearly 8 million ads in 50 countries, have shown that there is still plenty of work to be done to build effective cookieless alternatives.

As a new year dawns, many of us are looking toward 2023 with trepidation. A potent cocktail of skyrocketing inflation, a looming recession, and general global instability has created a difficult environment for companies in almost every industry. However, things aren’t as bad as they seem, and if companies can take advantage of the evolving MarTech trends, they can thrive despite the adversity.

On April 18th, Google published the results from Google Ads’ interest-based advertising testing, where, among other tools, Topics API was analyzed. We are happy that the Google Ads team joined RTB House and Criteo in openly publishing findings from experiments with Privacy Sandbox APIs.

In the report, the Google Ads team compares the effectiveness of applying Topics API, contextual signals, and publisher first-party IDs instead of cookies for Interest-Based Advertising (IBA). Third-party cookies were allowed in this experiment for use cases unrelated to targeting, such as frequency capping and measurement.

This article aims to complete the round of quality tests performed on the sampled Seller-Defined Audiences signals we received from the sell side. While the previous article investigated contextual SDAs, this one will focus on user SDAs and verify how they reflect reality. The tests in this section varied from the ones performed on the contextual signals as the nature of the user type differs. The first test relied on a manual check of an assignment mechanism, while the second one was based on a survey campaign.