RTB House Editorial Team

The world of online retail has experienced significant change over the last few years. With these changes came a trending topic concerning recommendations and the effect they have on the consumer journey. So what value do they actually hold when it comes to personalizing a shopper’s online experience and increasing your average order value?

Consumer tech companies, like Samsung, operate in an environment with high average order values (AOVs) but long gaps between conversions. This means it is essential to maximize individual sales and build brand loyalty that lasts long after a purchase is complete. Companies can best do this by building direct connections with their customers across a variety of sales channels. However, this means overcoming the challenges posed by the loss of access to third-party cookies in the oncoming cookieless future.

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.

Sports brands were already trendsetters but their relevance has increased over the last two years as lifestyles have changed. People have become health conscious and are actively taking part in fitness and well-being activities. Meanwhile, the global shift away from offices (and from more formal officewear) has turned sports clothes manufacturers into the de facto tastemakers of the entire fashion industry.

Every January, many of us lay out our plans to make the coming twelve months “the year of…”

What’s 2023 for you? The Year of Discovery? The Year of Wellness? The Year of Exercise? The Year of My Career?

People are bombarded with thousands of ads every day, both offline and online. With the growing popularity of ad-blocking, it’s clear that they are looking for ways to reduce the number of ads shown. One of the big challenges is that most of this ad content is irrelevant to users. This article will explain how AI technology can help advertisers to deal with it and to improve campaign performance with more precise targeting through Deep Learning.