Contextual Targeting

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.

• 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

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.

Contextual targeting is once again becoming a key talking point for brands and digital advertisers. Those marketers who have been in the game for some time might be feeling a sense of déjà vu, but we’re not going back to the past. In this article, we will explain how AI algorithms are revolutionizing contextual targeting techniques.

At present, the narrative surrounding AI is a strange cocktail of both dark prophecies and unbridled optimism. However, between these extremes is a growing number of people taking advantage of new Generative AI tools to eliminate dull repetitive tasks, improve their productivity, and ultimately focus more on strategic and creative work.
When used correctly, this growing toolkit of AI-powered products makes it possible for marketers to concentrate on what they do best and outsource repetitive or time-consuming tasks to AI.

Let's take a look at some of the top Generative AI tools for marketers and how you can implement them in your own workflow.

Looking for some solutions that will improve the effectiveness of your online ads? Leveraging advanced targeting in advertising is one of the first things you need to consider — it allows marketers to reach the right customers, namely those who are interested in your company’s offer. This way you can improve their efficiency and reduce the costs of your marketing campaigns at the same time.