Early Adopter Identification Engine

Home / Intelligence / Case Studies / Early Adopter Identification Engine

Client Situation

In order to plan and efficiently utilize their sales and marketing efforts, a mid-sized biopharma client wanted to identify HCPs likely to adopt their drug in the early stage of launch

Trinity’s Role

Developed an Early Adopter Identification Engine to predict which prescribers were likely to adopt the drug in the initial launch stage
Collaborated with internal stakeholders and downstream partners for seamless execution
Created a customizable dashboard for HCP profiling, targeting prioritization and sales pattern identification
- Identified and segmented early adopters in different segments through and various
  classification factors

Project Outcomes

Use of the Early Adopter solution delivered double* the adoption rate compared to the control group

*Lift percentage was obtained using test control methodology implemented during the targeting process

Related Intelligence

Webinars

Unlock the Potential of Generative AI in Life Sciences Insights and Operations

May 2, 2024 | 1:00 – 1:45 PM ET

Two additional sessions will be offered: May 3, 2024 | 15:00-15:45 CET – Europe/Berlin May 8, 2024 | 16:00-16:45 (UTC+8:00) – Asia/Shanghai Generative AI (GenAI) has created an opportunity to re-think and significantly improve how we work. Although far from replacing humans, GenAI has the potential to make pharma professionals far more effective and valuable […]

Case Studies

Dynamic Targeting Solution

A large biopharma customer wanted to develop a dynamic targeting solution for HCPs in a particular market

Case Studies

NBA Insights Solution

As part of an enterprise-wide Digital Transformation initiative, our client was looking to optimize effectiveness of marketing execution channels—and maximize clinical and commercial outcomes—by personalizing campaigns through engaging HCPs with the most relevant content (safety, efficacy, support, etc.)