Case Study

Bio-marker driven patient pool sizing and forecasting

Objective

Deep understanding of the market and segmentation of patient population to understand drivers for revenue growth

Approach

  • Segment the patients based on histology and mutation types. Apply assumptions for adoption for each segment type allowing for a more rigorous forecast 
  • Validating biomarker testing rate assumptions with the use of chart audit data to incorporate real world insights into the model thus providing a more accurate evolution of patients over time

Outcome

  • Drilled down the forecast into meaningful segments, which enabled us to answer questions related to the product strategy and messaging 
  • Forecast sensitivity increased due to the patients’ segments being modelled separately
  • Analyzing the evolution of biomarker testing rates with the launch of new products helped us understand long term evolution of patient opportunities and forecast product adoption

Client Benefits

  • Including the impact of testing rate evolution on the size of addressable pool helped them to come up with a proper valuation of the asset 
  • Helped identify different patient segments which added flexibility and rigor to the forecast 
  • The differential patient segments allowed for cross functional collaboration enabling pressure testing of forecast assumptions

Forecasting