Embracing cookieless advertising with AI

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.

Authors

Publication Details

Journal
Applied marketing analytics
Published
2024-09-01
DOI
https://doi.org/10.69554/abjz3410
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Embracing cookieless advertising with AI

Ian Thomas
Applied marketing analytics
Impact of AI and Big Data on Business and Society
article

Embracing cookieless advertising with AI

Ian Thomas
article en

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.

Applied marketing analyticsVol. 10(2)
Openalex Percentile: Top 81%
Impact of AI and Big Data on Business and Society
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