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Pharmaceutical

We help pharmaceutical manufacturers unlock data-driven pricing and revenue growth by combining automated product equivalence mapping, advanced elasticity modeling, and scalable analytics capabilities that thrive in complex, partially regulated markets.

Revology Analytics enables pharmaceutical teams to build modern pricing and revenue growth management capabilities across Rx and OTC portfolios. By integrating internal sales and cost data with syndicated market sources such as IQVIA, we identify pricing quick wins, optimize competitive positioning, and create sustainable, analytics-powered pricing operating systems.

Accelerating Pricing & Revenue Growth in the Pharmaceutical Sector

Our Approach to Pharma:

Pharmaceutical companies contend with intense branded generic competition, overlapping regulations, and high-stakes pricing decisions. Relying on static spreadsheets or simple benchmarks is no longer enough. Our pharma work focuses on three pillars:

Product Equivalence Matrices (PEM) at Scale

Build automated equivalence logic using ingredient, dosage form (including ER/SR), strength, pack size, and therapeutic alignment (e.g., ATC/TA).
Normalize prices to a standard therapeutic unit (such as DDD or standard units) so you can compare your price architecture to competitors on a true like-for-like basis.
Deliver transparent similarity scores that make it easy for brand, pricing, and market access teams to trust and use the mapping across countries and portfolios.

Causal Elasticity & Demand Modeling

Apply advanced machine learning and Double Machine Learning (DML) frameworks to separate true price sensitivity from noise created by promotions, competition, supply constraints, and other confounders.
Estimate own- and cross-price elasticities at the right level of granularity (brand/SKU, segment, or channel) to inform pricing strategy in both non-regulated and semi-regulated environments.
Translate elasticities into practical guidance: where you can take price up with limited volume risk, where you should defend price, and where targeted reductions can expand access and share.

Pricing Quick Wins & Scenario Simulation

Combine PEM outputs and elasticity insights into a Competitive Price Index (CPI) view that highlights underpriced and overpriced SKUs within each market.
Build user-friendly simulators that allow country and portfolio teams to test “what-if” price changes and see projected impacts on volume, revenue, and gross profit before any move is executed.
Prioritize a pipeline of Pricing Quick Wins (PQWs) that can be implemented quickly while laying the foundation for longer-term revenue growth management capabilities.

Beyond analytics, we emphasize capability building—training your teams to maintain the PEM, refresh models, interpret outputs, and embed pricing analytics into standard business rhythms so value continues to compound after the project ends.

Key Client Deliverables

Multi-Country Product Equivalence Matrix

Rules-based equivalence logic achieving >95% SKU coverage and harmonizing internal product views with IQVIA market data.

Price Elasticity Modeling & PQW Engine

Causal ML-based price elasticity models and a recommendation engine that surfaced SKU-level price opportunities with quantified volume, revenue, and margin tradeoffs.

Capability Building & Governance

Training, documentation, and governance frameworks that embedded PEM maintenance, model refresh cycles, and pricing decision standards into day-to-day operations.

Pricing Simulator & Insights Dashboards

Excel/BI tools that allowed local teams to simulate price moves, evaluate CPI positions, and communicate impact in a common language to finance and leadership.