SyMAP Global Pricing: Pharma Pricing Strategy & Revenue Forecasting Software
Join US and ex-US pharmaceutical pricing end-to-end: forecast revenue under every policy path, model patient flow, and let the optimiser find the strategy that wins.
Pricing is now a single global challenge
A discounted launch in one country can cascade through IRP networks and reappear in US MFN benchmarks. SyMAP Global Pricing integrates domestic and international pharmaceutical pricing analysis into one strategic framework: connecting US channel exposure, ex-US list and net prices, IRP pathways, and MFN benchmarks. In SyMAP 2.0 it grows three major new modules: a Revenue Forecasting workspace with AI-written run analysis, patient-based forecasting, and Optimizer Studio, an optimisation engine over the whole pricing model. Read the thinking behind the integrated approach in The End of Two Silos.
Revenue Forecasting New in 2.0
A dedicated forecasting workspace that joins the pricing engines to multi-year revenue projection: US payer channels and ex-US markets in one view, attributed under the policy path you choose.
Patient Forecasting New in 2.0
Ground your revenue in epidemiology, not just price. Build patient flow models and drive volume from the population up.
Optimizer Studio New in 2.0
Don’t just test scenarios: search the strategy space. Optimizer Studio runs optimisation studies over the full pricing model, and shows its working.
Global Pricing Use Cases
SyMAP Global Pricing FAQs
- What is SyMAP Global Pricing?
- SyMAP Global Pricing integrates domestic and international pricing analysis into a unified strategic framework. It connects IRP pathways with MFN benchmarks from GENEROUS, GLOBE, GUARD, and voluntary agreements, and adds revenue forecasting, patient-based forecasting, and optimisation on top, so pricing decisions and their revenue consequences live in one model.
- How does Revenue Forecasting work?
- The Revenue Forecasting workspace builds multi-year projections directly from the simulation engines: IRP price evolution, MFN rebates, US channel mix, and ex-US revenue in one view. Forecasts run under a chosen policy scenario (voluntary, CMS, or baseline), and each run can generate an AI-written analysis of its drivers and risks.
- What is Patient Forecasting?
- Patient Forecasting drives volume from the population up: patient flow models built as visual flow maps, with a ready-made library of uptake, erosion, and persistence curves. Start from built-in archetypes or calibrated demonstration models, then attach a model to a product (including multi-indication portfolios) to underpin revenue with epidemiology.
- What is Optimizer Studio?
- Optimizer Studio runs optimisation studies over the full pricing model. You set the objective and the levers (launch timing and sequence, ex-US prices, US pricing levers) and the study searches the combinations trial by trial. Results come with a driver waterfall explaining why the winning strategy wins, threshold analysis for tipping points, and replay to re-test a winning lever set against your updated setup.
- Do the SyMAP modules share data?
- Yes, that’s the point. One product dataset drives IRP simulation, MFN modelling, revenue forecasting, and optimisation alike. Enter an ex-US price once and it flows through reference networks, MFN benchmarks, and the revenue forecast consistently.