Webinars
October 8, 2024 | 15:00 - 15:45 CET
An additional sessions will be offered: October 8 – 16:00 – 16:45 (UTC +8:00) – Asia/Shanghai
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 remains elusive—despite significant investment and transformation.
Join Trinity’s Customer…
Sign Up Now
Blog
Published September 17, 2024
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 to create better “surround sound” for the customer.
Orchestration for a brand means that you have a thoughtfully-built decision engine that can process historical customer…
Read Now
Blog
Published September 5, 2024
First, what does “omnichannel” mean in life sciences?
Omnichannel is a customer-centric strategy leveraging technology, data and analytics across functions to optimize cross-channel engagement.
So, why is it so hard to achieve effective customer engagement impact?
There are some companies that have achieved intended outcomes when deploying “Omnichannel” and embarking on a “digital transformation” – but many have found it much harder than expected.
The challenges are driven by three areas of misperception:
The simplistic view that omnichannel is a…
Read Now
Webinars
Available On Demand
Today’s “New Normal” is a constant effort to optimally reach and engage rapidly changing customers by applying novel approaches to democratizing and transforming data. Join Nancy Phelan, SVP & Head of Customer Engagement (CE) at Trinity Life Sciences for an in-depth investigation of CE models that work, including insights from a new landscape study on the drivers and obstacles to achieving success when applying an omnichannel strategy. Attendees will gain insights and data to help lead their organizations and teams…
Watch Now
Case Studies
Client Situation
The objective was to develop an advanced machine learning algorithm to predict potential site alerts for HCPs in the target universe
Trinity’s Role
Besides sales rep deployment, the client used these alerts to direct their non-personal promotion like email and digital advertising.
The project was done in 2 phases.
Phase 1:
Data coverage of claims data, EMR data and other sources for incoming site alerts to expand the existing HCP list
Business rule creation to identify incoming site…
Read Now
Case Studies
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…
Read Now
Case Studies
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…
Read Now
Case Studies
Client Situation
A large biopharma customer wanted to develop a dynamic targeting solution for HCPs in a particular market
Trinity’s Role
Using machine learning, Trinity developed a model to predict HCPs’ future prescribing engagement
Segmented prescribers into targeting tiers, updated on a quarterly basis
Prioritized the prescriber tiers
Project Outcomes
Trinity delivered a model with 84% accuracy.*
The solution supports a new, agile approach to call planning and execution to achieve better engagement using advanced analytics to dynamically target HCPs…
Read Now
Case Studies
Client Situation
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.)
The client was first looking to scale an existing brand-specific NBA solution across all their inline brands. However, there were several challenges with the initial application and this approach:
Basic, limited functionality with no prediction capability around sequential touchpoints
High…
Read Now
Case Studies
Client Situation
A midsize biopharma client wanted to create a rep-centric tool to help them understand their targets and map against current performance and gaps, identify changes in market scenario, manage schedules, prioritize targets and deliver contextual content
Trinity’s Role
Trinity developed a comprehensive field force tool to track target treatment paradigms, analyze market drivers and identify Next Best Actions (NBAs)
Integrated tightly with rep calendars to provide triggers with insights and recommendations contextual to rep schedules
Leveraged multiple data…
Read Now
