Data-driven assessment of customer engagement gaps and opportunities.
Creating actionable insights to build right-sized teams who execute engagement strategies that are relevant, personalized, and impactful.
Immersing ourselves in the key data enables us to create a robust, evidence-based commercial engagement strategy.
Our insight generation process combines the strengths of traditional and AI-powered methods. We partner with market-leading agencies like Insight Health & PeakData.
Real-world prescribing data remains a critical foundation for market assessment, forecasting and initial HCP tiering.
We then build on this with AI-driven tools for precision targeting, helping to identify and prioritize high-impact HCPs and uncover engagement opportunities that might otherwise be missed.
V+ Expert Meetings are our innovative approach to truly understanding customer needs, expectations and perceptions.
We design and host exclusive online focus groups with HCPs on an innovative ‘chat room’-style platform.
We facilitate anonymous discussion of the therapy area, available treatments, customer challenges, and more.
Supported by Gen-AI, we perform a full analysis of the discussions, as well as providing the full transcripts.
We partner with STEM (Inizio Advisory) to analyze strategic success data – benchmarks from >5000 projects across every therapy area – to understand what a ‘good’ sales/service team looks like. Centered on behavioral change, STEM can conduct functional performance reviews to observe rep interactions and collate customer experience feedback.
With this deep and specific insight, together we identify strengths, gaps, and high-impact action plans across your business functions and teams to accelerate your brand promotion with confidence.
We deep dive into the insights generated in interactive sessions with brand stakeholders and our engagement experts.
Mapping of customer personas

Key selling messages
Preferred channels
Personalization
Balancing frequency
Addressing challenges/barriers
Using the insights generated in the context of the product’s lifecycle stage and brand objectives, we propose a solution: