Contextual Targeting

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.

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.

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.

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.