Methods and systems for growing and retaining the value of brand drugs by computer predictive model

A system for growing and retaining value in brand drugs, comprising:

• a consumer segments module configured to execute a first computational model on the consumer segment data to determine a first substantially optimal brand drug promotional plan for consumers who are candidates for a brand drug;
• a healthcare provider module configured to execute a second computational model on healthcare provider segment data to determine a second substantially optimal prescription promotional plan for healthcare providers who treat the consumers that are candidates for the brand drug;
• a manufacturer payor module configured to execute a third computational model on payor segment data to determine a substantially optimal contracting strategy for the brand drug;
• and
• a financial model simulator module, coupled to the consumer segments module, the healthcare provider module, and the manufacturer payor module, configured to generate a promotional campaign for the brand-name drug by running a predictive model of the consumer segment data, healthcare provider segment data, and the payor segment data, based on the combination of outputs from the first, second and third computational models.