Blog about Digital Advertising & Marketing Technology

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.

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.

The Catwalk Ready Collection of banners from RTB House proves that your online ad campaigns can be elegantly seductive whatever the context. Tailored for the user with a precision beyond even Savile Row, the Fashion-focussed creatives of RTB House are versatile yet striking, timeless yet still very much ‘now’.

Yes, the stylish and provocative designs of Paris, London, Milan, and New York, turn heads, but this collection is underpinned by a smarter dress code. Deep Learning algorithms ensure that our banners not only transform with the seasons, but change to match whichever unique individual they are shown to.

This article aims to complete the round of quality tests performed on the sampled Seller-Defined Audiences signals we received from the sell side. While the previous article investigated contextual SDAs, this one will focus on user SDAs and verify how they reflect reality. The tests in this section varied from the ones performed on the contextual signals as the nature of the user type differs. The first test relied on a manual check of an assignment mechanism, while the second one was based on a survey campaign.

• Contextual SDA passed both quality tests we performed and described in this article
• The mechanisms we used to assess the contextual SDA signals’ quality were: SSPs’ audiences sent via Deal IDs and RTB House’s proprietary ContextAI engine