RTB House Editorial Team

In this Media Review, we bring together 5 stories, including accusations against Meta for using ad-related data to harm the competition, Apple’s allowance for outside app stores on its phones, and Google sharing its First Party Sets (FPS) concepts as ready for testing.

In this Media Review, we bring together 5 stories, including Apple facing a new lawsuit over its data collection practices, the Privacy Sandbox expansion for web testing in 2023, and the EU’s Digital Services Act entering into force.

The end of third-party tracking cookies is on the horizon, but it’s not as bad as you might think. Despite concerns from some advertisers that losing third-party cookies will make it impossible to deliver personalized advertising, there are already a number of effective solutions in the works to ensure that users can still enjoy relevant ads, without any privacy fears.

Let’s take a quick dive into why third-party tracking cookies are being retired, what that means for your advertising strategy, and why it’s actually a good thing for both customers and advertisers.

Welcome to the era of the cookieless world, where the landscape of digital advertising is undergoing significant changes. With the imminent phase-out of third-party cookies, the role of first-party data is becoming increasingly crucial. In this article, we’ll delve into how advertisers are navigating this shift and harnessing first-party data to fuel retargeting campaigns effectively. Let’s take a look at innovative solutions like OBTD (Outcome-Based Turtledove) and delve into practical use cases and technical details in this evolving digital ecosystem.

When we think about data in the modern world, our thoughts often land upon the famous line from the Rhyme of the Ancient Mariner, “Water, water, everywhere, but not a drop to drink.” Just as ancient sailors could be surrounded by undrinkable ocean water, today we’re drowning in so much data that it can become impossible to leverage its power. Well, it’s impossible without the right tools in any case. As the amount of data we collect has grown, we’ve developed tools that can help us analyze this information and turn it into something useful. The most powerful of these tools is undoubtedly Deep Learning. To understand why, let’s take a look at some of the top Deep Learning applications.

Generative artificial intelligence has sparked emotions of hope, fear, and a little skepticism. The technology is able to take over a wide range of tasks previously seen as the domain of skilled professionals, and many feel that they need to adopt generative AI tools or be left behind. However, no technology is a silver bullet, and in order to properly utilize its potential, we need to understand what generative AI is and how it should be implemented into your workflow.