Question: Can you suggest a solution that uses AI and real-world data to build custom audiences for pharmaceutical advertising?

For creating custom audiences for pharmaceutical ads with AI and real-world data, Swoop is a precision healthcare marketing platform that uses AI and real-world data (RWD) to generate highly targeted and high-quality segments for better engagement, conversion and therapy adherence. With its patented HIPAA-certified and NAI-compliant technology, Swoop can deploy in 30 days and activate omnichannel campaigns with precision, helping life sciences companies optimize their media mix and drive significant increases in script lift and patient lifetime value.

Another good option is DeepIntent, a healthcare demand side platform that combines real-world health data from partners to predict patient and HCP reach. It offers real-time optimization and uses AI to optimize campaign strategy for highly qualified audience segments. The platform also offers fast and transparent reporting with clinical data refreshes for rapid campaign optimization to improve performance.

For a data-first approach, Dstillery offers custom audience solutions using AI technology. Its ID-free technology collects browsing behavior data to predict user behavior, which is useful for targeting without cookies or IDs. Dstillery offers a range of audience solutions and uses OpenAI technology to help select audiences, optimizing advertising campaigns and achieving marketing goals more effectively.

Last, InMarket is a real-time marketing and measurement platform that connects brands with customers through industry-leading technology and data. Its features include AI-driven predictive and real-time omnichannel activation, campaign performance measurement, and actionable insights through petabytes of data. InMarket protects consumer privacy and adheres to industry standards, making it a powerful option for pharmaceutical advertising campaigns.