DeepIntent

DeepIntent is a healthcare demand side platform that helps healthcare marketers plan and execute advertising campaigns. The platform is designed to streamline planning, activation and measurement of HCP and patient campaigns across multiple channels.

DeepIntent uses real-world health data from partners like IQVIA and Komodo Health to predict patient and HCP reach by channel and data provider so marketers can make better decisions about planning and optimization. The platform combines HCP and patient campaigns so marketers can see the combined effect of their efforts. Real-time optimization ensures better performance and audience quality across all channels.

DeepIntent Outcomes, the platform's measurement solution, provides fast and transparent reporting through clinical data refreshes so marketers can quickly adjust campaigns. The company is staffed by healthcare data and marketing experts to ensure innovation and high client retention.

Also available is DeepIntent Copilot, an intelligent DSP built into the platform that uses connected intelligence to optimize campaign strategy from planning to activation. The tool uses AI to pre-optimize audience mixes, optimize media spend and drive performance and efficiency.

DeepIntent is geared for pharma companies and healthcare agencies looking to get more out of their advertising campaigns. Customers can create their own highly qualified patient and HCP audience segments, tap into clinically precise audiences from a healthcare data marketplace and onboard existing segments. The platform offers direct deals with top publishers and zero-fee trading.

DeepIntent has won several awards for its approach, including Best Demand-Side Technology, Best Ad Tech Platform and Most Innovative Products. Many top pharma companies use the platform for planning, activating and measuring their campaigns.

Pricing isn't disclosed, but you can schedule a live demo to learn more about the platform and its cost. DeepIntent emphasizes a privacy-first and brand-safe environment, protecting patient identities through patented modeling processes and partnerships with industry-leading verification partners.

Published on June 24, 2024