DeepIntent Adtech Solution First To Meld Differential Privacy & Machine Learning To Reach Specific Patients In A Privacy-Safe Way
HIPAA-certified solution delivers 25% higher audience quality, bringing relevant healthcare and treatment information to patients during COVID-19
Marketing technology company, DeepIntent, announced general availability of Patient Modeled Audiences. The patent-pending, end-to-end advertising solution is HIPAA-certified and is the first to effectively combine differential privacy and machine learning to reach specific patient populations in a privacy-safe way. The solution delivers timely and relevant health and treatment information to patients, a capability that’s been particularly important during COVID-19.
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Patient Modeled Audience’s data-driven approach significantly improves advertisers’ ability to reach clinically-relevant audiences—in fact, an independent thirty-day test of twelve adtech solutions* found that DeepIntent’s audience quality scores were 25% higher than others in the group.
To date, healthcare organizations have been limited in the ways they can reach patients with specific diagnoses, often having to choose either accuracy (using opted-in consent-based patient targeting) or scale (using highly inefficient third-party data segments). Patient Modeled Audiences is the first adtech solution to deliver both by anonymizing healthcare data and extracting only the information needed to segment and reach specific patient audiences with speed and precision.
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“Our clients are seeing unprecedented campaign performance, indicating that the right patients are receiving the information they need to make more informed decisions about their health,” said DeepIntent Co-Founder and CEO, Chris Paquette. “It also proves that with Patient Modeled Audiences, marketers no longer need to choose between accuracy and scale. By combining emerging privacy technologies with machine learning built specifically for healthcare, DeepIntent closed this divide while mathematically guaranteeing HIPAA compliance.”
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