Contextual Targeting

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.

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.

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?

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?

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.

Have you ever downloaded the data Facebook has on you? Or Google? The sheer breadth of data collection has 86% of consumers worried, and this has led to a number of users leaving data-hungry social media platforms. It has also forced organizations like Google to do some soul-searching and adjust their approach to user data, notably by retiring third-party cookies.