Driving Brand Demand with AI-Driven, Predictive Messaging

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Reach and engage more HCPs with predictive omnichannel solutions.

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Place brand information directly in HCPs’ clinical workflow for increased targeting accuracy and message relevance.

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Reach brand-eligible patients, compliant with new and emerging state regulations.

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Explore the results of OptimizeRx 2024 physician survey on pharma marketing perception and impact – including the untapped opportunity of HCP and DTC marketing alignment.

Download the Whitepaper

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From self-service audiences to synchronized patient centric marketing that delivers HCP and DTC impact.

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Drive pharma ad revenue through privacy-safe, superior audience performance.

Conversations that Convert

Explore the results of OptimizeRx 2024 physician survey on pharma marketing perception and impact – including the untapped opportunity of HCP and DTC marketing alignment.

Download the Whitepaper

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We're on a mission to help life science marketers evolve their approach and connect patients with the best possible treatments.

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Pioneers in EHR advertising ushering in AI-based omnichannel transformation.

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Empower HCPs to Make More Informed Health Decisions and Drive Engagement

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Driving Brand Demand with AI-Driven, Predictive Messaging

Learn how the OptimizeRx Dynamic Audience Activation Platform (DAAP) increased HCP prescribing by 19%

9%

of brands Rxs came from writers

16%

of exposed HCPs wrote a brand Rx

19%

average script lift from AI-identified HCPs

CLIENT GOAL

A rare disease brand sought to inform and help both newly diagnosed and relapsing patients benefit from treatment advances.

THE CHALLENGE

Generally accepted standards of care, despite high relapse, toxicity, and side effect profile
Frequent patient relapses, but difficult for HCPs to pinpoint warning signs
Large, but imprecise, NPI target list made cost-effectively deployment difficult

HOW WE DID IT

DAAP's AI-driven Patient Discovery module used longitudinal patient RWD to learn the characteristics of undiagnosed and relapsing patients, then predicted both future patient eligibility and the ideal time to engage their treating HCP with brand information.

Proprietary AI Engine

Discovered brand-qualified patients earlier in the disease journey and predicted when patients were experiencing relapse symptoms.

Dynamic NPI Targeting

Prioritized message delivery to physicians most likely to be treating brand eligible patients in specific windows of time.

Timely, EHR-based Engagement

Delivered brand information directly into HCPs clinical workflow when HCPs were making care decisions.

Machine Learning and Optimization

HCP engagement and behavioral data continually fed predictive model to increase accuracy.

Explore how Patient Discovery and DAAP can help your brand locate hard-to-find patients, in order to better engage and support their treating physicians.

TALK TO OUR TEAM TODAY