AdTheorent Health Launches Targeting Solution

In New York, machine learning-based ad platform AdTheorent Health has launched a solution called 'Predictive Audiences', allowing programmatic advertisers to identify the most qualified audiences to target, without relying on personalized information or user IDs.

The company aggregates health data from hospital and healthcare provider claims, electronic health records, and pharmacy and contextual data representing more than 300 million patients and healthcare professionals. This data is mined to create statistical representations of desired target audiences (ie, condition sufferers, caregivers, HCP or prescription users) based on non-sensitive data such as age, location, gender HHI and education level.

The new Predictive Audiences tool use primary-sourced healthcare data and statistics to identify the most qualified audiences to target, with each model evaluating 900 impression-specific signals and millions of potential impressions per second.

CEO James Lawson (pictured) comments: 'AdTheorent Health Predictive Audiences combine the best of ML-powered predictive advertising with the industry's most innovative method of audience creation, and we are very excited to bring this new, data-driven approach to market for our healthcare partners. Our team has created a programmatic targeting solution for healthcare advertisers that will drive unprecedented ROI, while leading the industry into a more privacy-forward future'.

Web sites: www.adtheorent.com and https://adtheorenthealth.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.