Future-proofing healthcare marketing strategies for proactive engagement

Full Article
Future-proofing healthcare marketing strategies for proactive engagement

The healthcare journey is complex, necessitating targeted marketing strategies at critical points. Predictive AI offers pharmaceutical and life sciences brands the ability to engage patients and providers proactively, from pre-diagnosis through treatment. A recent survey highlights significant opportunities for improving marketing effectiveness and patient outcomes through the use of predictive AI and real-world data.

Despite the potential of predictive AI, many brands are not fully utilizing these tools. The survey indicates that only half of the respondents are targeting patients at key clinical moments, revealing a gap in marketing strategies. By enhancing outreach and anticipating patient needs, healthcare marketers can significantly impact patient outcomes and optimize their marketing efforts.

• 52.3% find real-world data effective for healthcare marketing solutions.

• 67% of marketers recognize AI's potential to predict patient behaviors.

Key AI Terms Mentioned in this Article

Predictive AI

Predictive AI is applied in healthcare marketing to anticipate patient needs and improve engagement strategies.

Real-World Data (RWD)

RWD is utilized to enhance marketing strategies by providing insights into patient behaviors and treatment outcomes.

Patient Adherence Patterns

Understanding these patterns is crucial for healthcare marketers to target interventions effectively.

Companies Mentioned in this Article

Swoop

Swoop's methods ensure compliance with regulations while optimizing marketing effectiveness for healthcare brands.

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