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Explore the value of using custom, privacy-safe DTC and HCP audiences that drive greater Rx lift and so much more with Swoop’s new MM+M channel: Using ML/AI and Real World Data for Precision Healthcare Marketing.
Data-driven linear (DDL) represents a tremendous opportunity for health marketers to reach condition-specific patients and spend smarter on TV advertising by optimizing media across channels. What does that mean for your budget and campaign effectiveness? Read more.
Pharma marketers are adapting to a variety of changes that have impacted targeting, privacy and media buys. MM+M’s Marc Iskowitz and Swoop’s Katie Carr discuss how custom audience segments can fit into and activate across the media plan. Tune in now!
Find an effective solution to the end of cookies and other online behavioral data harnessing techniques that are soon to expire. In this eBook, Swoop’s thought leaders explain an effective solution to the end of cookies and other online behavioral data harnessing techniques that are soon to expire: building audiences generated instead from real world health data that’s privacy-safe and de-identified. Learn more.
By applying machine learning and artificial intelligence to de-identified offline health data, advertisers can develop higher audience quality (AQ) segments. In this webcast, Swoop’s Peter Kane moderates a discussion between Scott Rines, Swoop, and Lauren Jacobson, Initiative, about why legacy targeting approaches fall short and how using real-world data (RWD) for audience building benefits both patients and marketers. Watch it on-demand now.
Read up on all of the highlights from a recent conversation with Marc Iskowitz, MM+M, and Katie Carr, Swoop, addressing the changes pharma marketers are facing that have impacted targeting, privacy and media buys and how data-driven methods can combat this by allowing companies to take a more privacy-safe approach to engage the right consumers where they are and more.