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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.

Do you want to scale up your classified listings and push through the monumental competition that’s building? Sharing listings is one thing, but actually capitalizing on the marketing technologies available is another. How can you increase visibility and distinguish your marketing efforts from the competitors’ campaigns when it comes to classified ads? Marketing technology may just hold the key.

Austrian architect Victor Gruen came to America during World War Two with an inspired vision. So inspired, in fact, that he went on to design and build something that would define American culture for the next century. Something beautiful and grand, but which the analysts tell us is now dying: The Great American Shopping Mall.

Targeted ads have come under fire for the past few years due to a toxic combination of privacy concerns, and the potential for abuse during democractic elections. While targeted ads can help us find products that we’ll love, the seemingly magical way that they can predict what we want has unsettled many consumers, and led to very real concerns about how our data is collected and used, and thus the rise of the 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.

In this Media Review, we bring together 5 stories, including accusations against Meta for using ad-related data to harm the competition, Apple’s allowance for outside app stores on its phones, and Google sharing its First Party Sets (FPS) concepts as ready for testing.