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.

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.

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.

From the printing press to Deep Learning, the history of marketing shadows all our great leaps forward in communications technology. It is the marketer’s job to identify how these novel technologies can be used to reach potential customers, and educate them about products and services that enrich their lives.

The printing press let us create posters, radio and television enabled us to speak to people in their homes, and the internet gave us new ways to sell to people. Today, we’d like to take a moment to dive into how marketers can take advantage of the next big leap forward in technology: Deep Learning.

Contextual targeting might not be a new, flashy approach, but with the shift towards privacy-friendly cookieless advertising, it’s about to become a crucial part of every advertiser’s outreach strategy. As Google retires third-party cookies, old methods of targeting will become ineffective, and the ability to target interested users through more subtle markets, like content context, will be one of the keys to marketing success.

Let’s learn more about contextual targeting, look at some contextual advertising examples, and learn how you can deploy it in your campaigns.

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.