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Grow Your Brand in the Open Web without Cookies
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.
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Apple’s Double Trouble, Privacy Sandbox Progresses, AWS Clean Rooms, and other news
In this Media Review, we bring together 5 stories, including Apple facing a new lawsuit over its data collection practices, the Privacy Sandbox expansion for web testing in 2023, and the EU’s Digital Services Act entering into force.
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Meta’s Regulatory Struggles, DMA’s Effect, First-Party Sets, and Others
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.
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Marketing Minds: Making 2023 the Year of Inspiration
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?
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RTB House Update on FLEDGE Tests
As a leading buy-side platform, RTB House has been involved in the development of the Privacy Sandbox ever since its announcement. Being highly experienced in retargeting, we put particular emphasis on FLEDGE. This proposal has been in preparation for years now and has been available for testing in Chrome since April 2022.
We already shared our initial findings from the experiments in a previous article. It covered the availability of the elements for testing, our setups, and the initial results.
In this article, we would like to provide an update on the status of both the market and RTB House as of the end of January, give more insights and results, and share our perspective on the future testing and implementation phases.
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AI vs. Deep Learning vs. Machine Learning in Advertising
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.
