Blog about Digital Advertising & Marketing Technology

Słowik brings a breadth of experience from major tech companies such as Google and Microsoft.

In Fashion, competition is fierce and building a seamless omnichannel strategy is a must. There’s no “one size fits all”, “straight off the rack” solution. But just as on the catwalk, it’s all about accessorizing and bringing all the key elements together into one stunning ensemble—an omnichannel shopping experience that turns heads and wins conversions.

RTB House announces the launch of SEM House, a digital agency specializing in the planning and execution of search engine marketing services. What sets SEM House apart is its ability not only to create and distribute quality content, but also to develop complete strategies for it, both locally and internationally.

Google is coming for your cookies, and not the tasty kind lying safely in a tin in your kitchen, but the third-party ones that sit in your browser, watching, waiting, and storing all kinds of information. This has major implications, some good and some bad, for marketers and consumers alike. It also means that many of our old tools will soon become obsolete. However, you don’t need to crack open your tin of real cookies and start stress-eating yet. There are plenty of new tools on their way, one of which we’re going to get into today: The Protected Audience API.

The rise of online shopping has made it easier than ever for shoppers to find their style, but has created a new pain point for fashion brands: returns. Customers often order multiple outfits, and try them on at home before deciding what they want to keep, and what they want to send back to the warehouse. This has significantly increased the rate of returns in fashion, which comes with its own financial and environmental costs.

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.