Identifying relevant KOLs on a global scale

A biopharmaceutical company had a slow, manual process for identifying and prioritizing experts globally — entering a new therapy area meant starting from scratch, and prior use of third-party agencies produced poor-quality lists that consumed excessive time. It implemented "Monocl ExpertInsight and Monocl ExpertGO," gaining access to nearly 13 million experts across all therapeutic areas with advanced filters to tier experts by business criteria and geography. Time to build expert lists dropped 92%, from 6 months to 10 minutes, and license adoption expanded from 15 to 165 users within months; the company also added ExpertData to enrich its CRM and Master Data Management systems. One team member called it "a real super tool that does exactly what you want it to do!"

The customer is anonymised in Definitive Healthcare’s own case study — not withheld by us.

Definitive Healthcare is a claims and provider-reference data platform used by pharma commercial teams for go-to-market planning and sales targeting.

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.