Four Modules, One Engine — Reproducible Pharma Pricing Analytics (Full Webinar)
Most pharma pricing still runs on manual spreadsheets, consumer inflation, COGS pressure, and IQVIA sales-over-volume — and it quietly leaves net revenue and margin on the table. In this session, Armin Kakas and Enrico Sieni of Revology Analytics break down how to build advanced analytics-driven, reproducible Pricing Analytics & Optimization capabilities for pharma: the four-module engine that closes where pricing actually leaks.
Drawing on recent multi-market emerging-market pilots that surfaced 5–20% in net price realization (NPR), they show how DDD-normalized competition, brand-worth scoring, price-pack architecture, and causal elasticity come together into one reproducible engine your team can run every cycle — and defend with your commercial teams.
In this session:
• Apples-to-apples competition — product-equivalence + Price/DDD normalization across molecule, strength, form, and pack
• Proper elasticity modeling — and why price is rarely the biggest driver of volume growth or erosion
• Gross-to-net visibility — seeing the net price realization gap from ex-manufacturer list through the full bridge
• Price Pack Architecture (PPA) audits — catching inverted pack ladders and strength-index leaks before they compound
• Causal elasticity — where Rx gives you safe headroom and where OTC behaves more like CPG
• Scaling analytics — replacing the one-analyst spreadsheet to run optimizations across countries and brands
Who it's for: pharma pricing & commercial-excellence leaders (global, regional, country/affiliate), Market Access & Pricing/Reimbursement, Brand & Product Managers, and Analytics & Data Science teams. The same engine pattern extends to animal health and the broader life sciences.
---- CHAPTERS (add real timestamps) ----
0:00 Welcome & what these monthly webinars cover
1:24 Speakers & today's agenda
2:24 Why pharma leaves price realization on the table
4:19 Reproducibility: the guiding principle
5:17 Where pricing breaks: data silos & manual SKU matching
10:55 Poll: what really drives volume?
12:54 The four-capability framework
14:19 Capability 1 — Product equivalence & Price/DDD
20:52 Capability 2 — Right-to-Price vs value (brand-worth scoring)
26:02 Capability 3 — Price Pack Architecture
28:53 Capability 4 — Causal elasticity (double machine learning)
35:04 A&P (advertising) elasticity & pricing-maturity levels
38:10 One reproducible pipeline, end to end
40:40 Live walkthrough on anonymized data
49:19 Real results & biggest opportunities
51:27 Wrap-up & how to reach us
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About Revology Analytics
Revology Analytics helps companies build best-in-class revenue growth analytics — pricing, promotions, and commercial analytics capabilities that drive measurable margin.
🌐 Website: https://revologyanalytics.com
💬 Talk to us about a pricing diagnostic: [email protected]
🔗 Armin Kakas: / arminkakas
· Enrico Sieni: / enricosieni
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