Contextual Targeting

Change is constant in digital marketing but 2022 looks set to be a year where landmark shifts, including ID-less advertising and contextual targeting, will be formed. Three of RTB House’s in-house experts predict the huge changes on the horizon.

Modern advertising is powered by Artificial Intelligence and advanced analytics, which allows marketers to provide more relevant content to potential customers. However, just two decades ago, marketers had no such advantage. So what is programmatic advertising, where did it come from, and how does it work?

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.

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.

Each of us experiences contact with artificial intelligence every day. We reach for its possibilities spontaneously and often without realizing that it is to artificial intelligence that we owe the comfort of life and a number of conveniences. Who doesn’t use Gmail, Google Translate, a smart personal assistant or Netflix recommendations? We also watch dozens of ads every day, which are often selected for us by algorithms. How has the evolution of Artificial Intelligence progressed and impacted our lives over the course of history?

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.