In a fragmented media landscape, advertisers face significant challenges in delivering personalized stories to consumers.
However, contextual AI offers a powerful solution by allowing advertisers to stitch together a wealth of data and context from various sources.
In this video interview with Beet.TV, Adam Hancox, SVP of Precision at Zenith, says he is excited because “we can utilize a lot more signals than we ever could before”.
Getting Granular with Context
“So how do we take all the wealth of data and context that lives online and in a variety of different kind of places and actually stitch that all together and make something that’s a bit more nuanced and a bit more ready for advertising today?,” Hancox asks Beet.TV editorial director Lisa Granatstein.
While first-party data is valuable, contextual AI can be particularly beneficial for advertisers who struggle with data ownership, such as FMCG clients with offline conversions.
“Contextual AI allows still those …