Brand Safety

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.

Brand safety is something you’ll often hear marketers talk about, and at face value, it seems pretty simple. It’s all about the methods you can use to help to protect your brand from being damaged during the advertising process. However, once you ask marketers exactly how they protect your brand, things get a little more complicated.

To some, it might simply mean ensuring that messaging, imagery, or messenger doesn’t land you in hot water. For others, brand safety includes everything from what platforms you show your ads on to ensuring you’re not caught off guard by current events. To help you get to grips with this essential topic, this article will try to answer a crucial question: What is brand safety, and why should you care about it?

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.

The ad-tech company joins major players in the global advertising industry to raise the bar in online brand safety and responsibility.

Deep Learning ad-tech engine integrates media quality measurement to boost the effectiveness of its programmatic ad inventory and deliver greater results for clients.