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From Retrospective Co-Pay Reports to Competitive Intelligence That Catches Patient Drop-Off Early
The Challenge
Co-pay programs report what was spent, but not where patients hit cost barriers, whether support is being redeemed, or how affordability compares with competing brands.
- Early Drop-Off Goes Unseen: The window between first and second fill is where patients abandon therapy, yet teams lack timely visibility into it.
- Co-Pay Shock at Initiation: A first fill far costlier than later fills can delay initiation or trigger abandonment.
- Deductible Resets and Coverage Friction: New plan-year deductibles, prior authorization delays, formulary restrictions and claim rejections interrupt therapy.
- Unclear Program Utilization: Teams can’t easily tell whether patients are redeeming co-pay benefits or where spend fails to convert into fills and persistence.
- No Competitive Affordability Context: Out-of-pocket positioning against competing brands and biosimilars is rarely benchmarked, so share loss from affordability gaps shows up late in sales data.
Our Solution
Competitive Co-Pay Analytics connects claims, co-pay program, enrollment and hub services data with external inputs such as competitor pricing and formulary data. It turns program reporting into decision support for patient support and operations teams.
Competitive Affordability Benchmarking:
Compares patient out-of-pocket cost across competing brands, originators versus biosimilars and therapy areas, by payer.
Co-Pay Shock & Barrier Analysis:
Quantifies the gap between first-fill and steady-state cost through the Co-Pay Shock Index, and surfaces deductible, coverage and rejection friction by payer.
Program Utilization & Efficiency Tracking:
Tracks how effectively co-pay spend converts into fills, using KPIs such as spend per patient, cost per fill saved and an efficiency index.
Drop-Off & Adherence Monitoring:
Follows retention and refill patterns, with focus on first-to-second fill, and alerts teams when retention or refill rates trail competitors.
Prioritized Interventions & Scenario Simulation:
Pinpoints payer segments with the most friction, quantifies return per $1 of co-pay spend and simulates program changes before investment, with recommendations for Program Ops, Market Access and Commercial.
The Outcomes
The outcome is a competitive, patient-level view of affordability that moves co-pay teams from reviewing past spend to acting on emerging risk.
Earlier Drop-Off Visibility:
The first-to-second fill transition becomes a monitored window, not a blind spot.
Clear Affordability Barriers:
Initial cost shock, deductible resets and coverage friction become visible by payer.
Measurable Utilization & ROI:
Program spend can be tied to fills, persistence and return per $1.
Competitive, Prioritized Action:
Benchmarks against competitors and biosimilars guide where support is focused.
Recent Case Studies
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