The pharmaceutical patient journey has always been complex, but today's media environment presents more touchpoints than ever. In this interview, Bradley Deutsch, SVP, Healthcare Innovation and Partnerships, Cadent, explains why traditional targeting methods often miss a critical stage of the journey: the period before diagnosis. By leveraging predictive modeling, marketers can identify likely future patients earlier and engage them when they are most open to seeking information and support.
Deutsch also explores the challenges created by a fragmented media landscape. From search and healthcare publications to AI tools and multiple healthcare providers, marketers face an increasingly disparate set of channels. He discusses the growing importance of unified, omnichannel strategies that bring these conversations together.
The discussion concludes with a look at measurement and outcomes. While prescription lift remains an important indicator of success, Deutsch argues that relying solely on traditional audience quality metrics leaves significant gaps in understanding performance. Their interview explains how predictive modeling can help marketers optimize toward real-world outcomes while gaining a more complete view of patient engagement.
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