Co-Pay Analytics
An AI-powered co-pay analytics workspace that turns claims, programme and formulary data into competitive affordability insights, ensuring dynamic benchmarking, payer-level precision, and decision-ready recommendations for market access teams.
Challenges We Solve
Dashboards summarise historical spend and utilisation, so abandonment spikes and formulary changes surface late. Teams intervene after patients have already abandoned therapy and revenue is lost.
Brands cannot compare out-of-pocket cost against competitors or biosimilars by payer, therapy area or molecule. Share loss from affordability gaps stays invisible until lagging sales data confirms it.
Analysis stops at programme-level spend and patient counts, with no ROI view by brand or payer. Broad, inefficient support spend cannot be targeted to the payers that need it.
Copay shock, deductible resets and claim rejections push patients off therapy between first and second fill. Without early-window monitoring, at-risk patients disengage before support can reach them.
Platform Capabilities
Benchmark competitors, score affordability KPIs, act on role-based recommendations, and monitor risk with alerts and an AI assistant.
Drug-vs-drug out-of-pocket comparison, originator versus biosimilar analysis and therapy-area positioning. Side-by-side patient counts accompany each product comparison chart.
Relative Affordability Positioning, Copay Shock Index and Share Retention vs Co-Pay Spend. Each KPI carries a direction and healthy-versus-weak threshold.
Executive snapshot turns each KPI into actions. Separate guidance for Program Ops, Market Access and Commercial teams.
Prioritised high and medium alerts on retention, shock index and refill rate. A chat assistant explains any KPI using built-in definitions.
Measurable Outcomes
Blogs
Similar Case Studies
Turn Co-Pay Spend into Strategy

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