Modeling Oncology Product Preference Share


A healthcare client was testing a new oncology product combination therapy in clinical trials and needed to understand expected uptake under various market competitor and clinical trial outcome scenarios and among various patient types.

In order to understand the expected product uptake under various treatment player and clinical trial data scenarios, a discrete choice methodology was devised. An online survey among a robust sample of oncologists was conducted.

Research results provided deep, flexible and durable insights into the market landscape. Deliverables included an excel-based simulator, allowing the client to experiment with varying patient types, treatment availabilities and clinical endpoint scenarios.

Make informed, impactful business decisions that move people into action