Contextual Targeting

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.

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.

Despite their seemingly innocent name, cookies have found themselves at the heart of one of the internet’s biggest privacy revolutions. Specifically, third-party cookies have come under fire from privacy-advocacy groups, ultimately leading Google to work towards a cookieless future. This change will have significant implications for advertisers, as third-party cookies have been an essential targeting technology since their inception.

Let’s dive into the implications of Google’s decision and how you can prepare for the cookieless future.

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.

Digital advertising continues to evolve at a rapid pace, driven by technological advances, changing consumer behaviors, and shifting privacy regulations. We recently sat down with Jaysen Gillespie, Vice President of Global Product Commercialization at RTB House, to discuss IntentGPT, one of our most significant recent innovations. Gillespie has been instrumental in leading the development and commercial rollout of this technology, which represents a fundamental shift in how advertisers can understand and act on user intent across the web.

• Contextual SDA passed both quality tests we performed and described in this article
• The mechanisms we used to assess the contextual SDA signals’ quality were: SSPs’ audiences sent via Deal IDs and RTB House’s proprietary ContextAI engine