Beghou's ML targeting model picked 1,000 HCPs from 2,000 high-decile prescribers, and about 10% of them started prescribing.
The company had 30,000 potential HCPs and a limited budget. Beghou trained an ML model on claims, competitor, disease, sales and promotional history to predict prescribing likelihood. The page reports about 10% of the 1,000 selected HCPs began prescribing versus under 1% of the other 1,000.
Beghou Consulting is a life sciences commercial consultancy, used by pharma and biotech for targeting, forecasting, sales alignment and AI-driven medical and commercial insights
This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.
Published by Beghou Consulting on its own site — read the original case study on beghou.com ↗
Related use cases
- 01Beghou built an ML daily sales forecasting dashboard that separates normal refill noise from real trends.
- 02Beghou built an LLM and BERT engine that tracks HCP and KOL sentiment and influence to sharpen launch targeting.
- 03Beghou deployed an NLP system in 2.5 months to tag and classify field medical affairs CRM notes.
- 04Beghou redesigned account-focused sales resourcing and alignment using its Meridian Alignment Suite.
- 05OpenAI's dedicated healthcare vertical page/launch post.
- 06Frontier reasoning model built for biology, drug discovery and translational medicine; named qualified customers include Amgen, Moderna, Allen Institute, and Thermo Fisher Scientific.