Forecasting

The forecasting models used by Format Analytics have been perfected and validated across thousands of examples, spanning decades of experience. While demand projections are sometimes based purely on the patterns observed in historical secondary data, forecasts are most accurate when informed by primary survey research, which can be conducted among healthcare providers, patients, payers, and other relevant stakeholders. Importantly, the models employ validated algorithms to correct for the overstatement of product usage intent that is inherent in survey research. This enables accurate predictions of true demand.

Primary types of Format Analytics forecasts include the following:

• Pre-launch product forecasting

• Existing product forecasting

• Competitive impact forecasting

• Conjoint or discrete choice to forecast the impact of possible product variations (can include competitive product variations)

• Forecasting the impact of specific promotional channels

• Forecasting the ROI of advertising campaigns