Contextual Targeting

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.

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.

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.

Creating an effective customer targeting strategy is a challenge that marketers have consistently faced over the years. A dynamically changing market, evolving consumer behavior and preferences, and the rapid development of new technologies are factors that constantly create challenges. On the one hand, they require a continuous modification of the assumptions and developed strategies, and on the other hand, they open up completely new possibilities – i.e. allow for a better and more effective reach of the target group with the message. Why is it worth diversifying strategies and reaching for both contextual and behavioral targeting? What will the cookieless future bring?

2023 has been a year of big changes for marketers. Artificial Intelligence tools like ChatGPT have transformed how many of us do our jobs, third-party cookies are on the cusp of being retired, and consumers have become more privacy-conscious than ever before. Despite the enormity of these changes, in many ways they’ve just set the scene for the big things to come in 2024. To understand what’s going on, we’ll briefly review MarTech trends in 2023, and then dive into the top MarTech trends in 2024.

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.