A fully customizable approach to forecasting that puts individual patients at the center of prescribing decisions bringing deep understanding of not only how much products will be used, but also in which patients.
Countless dynamic factors—including external clinical evidence, patient characteristics and physician experience—can affect medical decisions and, in turn, product adoption and continued use. Deconstructing this decision-making process is essential for optimal brand positioning. A rigorous forecasting methodology, Difference Engine™ uses a patient-based discrete choice model with interactive surveys to uncover key prescriber drivers and assess real-world product potential.