Scale & Govern · PharmaForceIQ

PharmaForceIQ used predictive targeting and trigger-based journeys to triple the year-one launch forecast.

A pharmaceutical brand team launching a second-line therapy in rare oncologyScale & GovernPharmaForceIQVeevaEHRPredictive analytics

No single ICD-10 code and delayed data triggers made it hard to reach providers before treatment decisions. PharmaForceIQ built business-rule and predictive targeting to anticipate progression to second line, with real-time content across email, EHR, Veeva and display. The page reports year-one revenue triple forecast, 60% of unique prescribers attributed to the campaign and 59% of HCPs engaged.

PharmaForceIQ is an AI-driven HCP engagement and omnichannel orchestration company that acquired Aktana, used by pharma brands for trigger-based launch and non-personal promotion

This sits in the Scale & Govern stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to monitor, govern and keep validating an AI system once it is already live in production.

Source

Published by PharmaForceIQ on its own site — read the original case study on pharmaforceiq.com ↗