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Abstract
From increased consumer demand for privacy and the deprecation of third-party cookies to expectations for more relevant and personalised advertising, the dynamics of the digital advertising industry are quickly evolving. Marketing technology today is challenged with bringing the digital ecosystem together responsibly, aligning what consumers want with what brands can offer in real time. Artificial intelligence (AI) has proven to be an effective tool for synthesising the data needed to accomplish these tasks and deliver results. How exactly is AI bridging the gap between attitudes about privacy and the need for personalisation at scale? What role do deterministic and probabilistic data have in creating a more trustworthy and relevant digital experience? And how can marketers use AI to respond to real-time events and shifts in consumer preferences? This paper will address how AI can help marketers achieve scale without third-party cookies, and why consumer preferences, varied types of data and real-time measurement are central to achieving personalisation in advertising today.
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Author's Biography
Allan Tinkler is the Head of Platform Development and Lead for Privacy and Identity for Quantcast in Europe, Middle East, and Africa. In his role, Allan works with a broad spectrum of brands, publishers, and media agencies as they navigate technical and regulatory changes in the online advertising space. Allan was key to Quantcast’s participation in the development of the IAB Europe’s Transparency and Consent Framework which laid the path towards the industry adapting to the General Data Protection Regulation (GDPR) and later emerging data privacy laws. Allan is based in London.