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Abstract
After several delays, the end of unrestricted use of third party cookies is now drawing near, forcing all parts of the digital advertising industry to reconsider how they can drive campaign performance and inventory monetisation without gathering user data. Major browser-makers such as Google are deploying and testing technologies to replicate some of the key capabilities of cookies to enable advertisers to continue working as they have before but the industry needs to find a new way of thinking about driving campaign performance which relies less on the idea of finding the perfect audience and more on implementing a set of connected optimisation techniques that drive performance while maintaining privacy. Fortunately, recent developments in AI (artificial intelligence), especially Generative AI, provide some valuable techniques for achieving this, while at the same time improving the online experience for consumers by serving them more relevant ads that more closely match the context in which they are seen.
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Author's Biography
Ian Thomas cofounded one of the world's first web analytics firms and has gone on to hold senior data leadership roles for Microsoft, Publicis Groupe and Omnicom, dealing with some of the world's largest and most complex datasets and building effective teams to bring data to life. He now spends time working with CDOs and other senior leaders to help them transform the value they derive from their investments in data and AI.
Citation
Thomas, Ian (2024, September 1). Embracing cookieless advertising with AI. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 10, Issue 2. https://doi.org/10.69554/ABJZ3410.Publications LLP