Privacy-Safe, High-Performing Digital Campaign Targeting
A pharmaceutical company treating acid-related GI disorders wanted to reach relevant patients in a privacy-compliant, cookie-free way and benchmark a new privacy-centric targeting solution against existing options. Symphony Health (an ICON company) supplied customized gastro-condition audiences powering Proximic by Comscore's ID-Free Health Predictive Audiences, activated via partner Butler/Till, enabling targeting without cookies, device IDs, or other traditional identifiers. The approach delivered 41% greater audience reach than competing health audience solutions and a 50% reduction in cost per diagnosed-patient reach; Butler/Till said it let them "effectively reach health audiences in a privacy-centric, ID-free manner."
The customer is anonymised in Symphony Health’s own case study — not withheld by us.
Symphony Health is a commercial claims and prescriber-data provider, recently divested from ICON plc to HealthVerity, supplying open/closed claims data for pharma commercial insight.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Symphony Health on its own site — read the original case study on iconplc.com ↗
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