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Client Situation
A large biopharma customer wanted to develop a dynamic targeting solution for HCPs in a particular market
Trinity’s Role
- Using machine learning, Trinity developed a model to predict HCPs’ future prescribing engagement
- Segmented prescribers into targeting tiers, updated on a quarterly basis
- Prioritized the prescriber tiers
Project Outcomes
- Trinity delivered a model with 84% accuracy.*
- The solution supports a new, agile approach to call planning and execution to achieve better engagement using advanced analytics to dynamically target HCPs based on their needs, their patient’s needs and their preferences.
*Based on model F1-score
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