Strategic Forecasting for a
New Therapeutic Launch

A multinational pharma corporation need to understand current HCP precribing trends for their pre-launch therapeutic for a chronic autoimmune disease. In addition, they wanted to build a resource that would enable them to anticipate demand for the product prior to launch.

Approach:

  • Identify Data: Everything begins with data. In this case the customer wanted to leverage anonymized patient-level data, projected prescriber volume, and qualitative survey results.
  • Market Understanding: Deepen the understanding of the market landscape. Understand what therapies patients are currently receiving, which HCP clinical behaviors are prevalent, and how patients navigate their care journeys.
  • Access Dynamics: Incorporated how internal (e.g., field team size) and external (e.g., other competitor upcoming launches) factors play into forecasting.
  • Scenario Planning: built in all variables into a business insights tool to allow for scenario testing and to keep forecasting flexible as the client neared launch.

Impact:

Strategic forecasting for a new-to-market therapy supported the customer in preparing for agile market adaptation and ensured timely patient access.

  • Improved revenue forecasting: Identified revenue expectations based on 3 sources of business of new patient starts, switches from other therapies in the same product classes, and switches from different product classes
  • Field force sizing: Determined rate limiting factors such as a smaller workforce than needed to achieve optimal results and HCP sentiment from the survey
  • Scenario planning dashboard creation: Delivered a turnkey business intelligence dashboard that provides flexibility related to upcoming market events, changing launch dates, and more

Top Differentiators/Benefits:

  • Unlimited access: Compass Prescriber¡¯s unique access model allowed the team to profile physicians treating these patients beyond the market basket ¨C looking at a full picture of the HCPs¡¯ clinical behaviors
  • Blocked drug visibility: the Compass Data Network¡¯s closed sources provided visibility into blocked drugs that the team had previously been unable to see and in turn allowed the team to form more comprehensive patient journeys
  • Retail + Non-Retail Projections: Compass Prescriber¡¯s ability to project on both Mx-benefit and Rx-benefit therapies allowed the team to understand the full market volumes to tied anticipated revenue to their brand

See more Compass customer stories.