Home / Intelligence / Case Studies / Hyper-personalized HCP Recommendations
Client Situation
The objective was to increase market share of target prescribers through an AI-powered Next Best Action model
Trinity’s Role
We were able to deploy this solution in 3 weeks. The project included:
- Discussions with the client team to finalize standardized business rules for brand-agnostic data and KPI definitions
- Master dataset development through applying business rules and automated monthly PySpark code refreshes
- State-of-the-art machine learning algorithms like reinforcement learning, deep neural networks with dynamic recalibration and automated hyperparameter tuning for enriching HCP recommendations
- Automated data engineering pipelines to append the recent data to master data set at regular intervals
- Sequential Content – channel combination is recommended for each HCP at timely intervals without any manual intervention
Project Outcomes
This project resulted in a 9% increase in engagement rate. Deliverables included:
- Hyper-personalized recommendations for HCPs with relevant content, channel and sequence
- A parameterized, brand-agnostic model with incremental training enabled, which adapts to changing prescriber behavior and provides optimal recommendations
- Seamless data flow to and from channel partners
- Re-usable and modularized codes to help in quick enhancements, easy refreshes and reduction of additional effort
- Self-learning enabled in final recommendations – results are updated based on recent engagements
“We are happy with this ‘Re-configurable White Box Solution.’ Several man-hours that usually go in other projects are avoided here due to parameterization and config creations. Most of all, being able to change the rules without help from the development team at any point is very helpful with quick changes in requirements and ad hoc analysis.”
Related Intelligence
Webinars
The Future of Patient Finding
November 13, 2024 | 1:00 – 1:45 PM ET
Two additional sessions will be offered: November 14 – 16:00 – 16:45 (UTC +8:00) – Asia/Shanghai November 14 – 15:00 – 15:45 CET – Europe/Berlin Patient finding is more than a buzzword. Ready to challenge the status quo? With more data, advancements in AIML and greater access to insights, it is not surprising that patient […]
Sign Up Now
Webinars
Who “Owns” the Customer in Customer Engagement?
Available On Demand
In your company, is it Sales, Marketing, Analytics, Operations, Medical…? If you are struggling to answer this question, you are not alone. With the rising adoption of digital and virtual approaches to customer engagement, companies are facing more complexity in commercialization. Organizations that lack clarity find that achieving the desired impact from customer engagement strategies […]
Watch Now
Blog
Get Ready to Orchestrate a Better Customer Experience
What does orchestration mean for a brand? True orchestration considers a customer’s preferences before communicating with them. Learnings from past interactions and outcomes are used to identify the most relevant action to lead to a rewarding experience for both the customer and the brand. Orchestration can be defined as all channels learning from each other […]
Read More