A leading veterinary group partnered with PHG to turn complex pricing data into actionable insights, driving sustainable revenue growth through evidence-based pricing.
A major UK veterinary care provider operating a nationwide network of clinics sought to enhance revenue and profitability through a more sophisticated healthcare pricing strategy. With growing competitive pressure and rising operational costs, the client recognised the opportunity to apply data-driven pricing analytics to better understand price sensitivity and value perception. Pearson Ham Group was engaged to help establish a robust, evidence-based approach to value-based pricing in private veterinary healthcare.
The project delivered a validated healthcare pricing framework, allowing the client to confidently execute profitable fee adjustments and monitor real elasticity effects. It also built a foundation for continuous revenue optimisation and international scalability.
This work represents a step-change in data-driven healthcare monetisation, proving that rigorous elasticity testing can drive sustainable profitability without compromising customer trust. It also demonstrates how value-based pricing principles can be successfully applied to private healthcare networks.
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Revenue uplift achieved per working day
Research-grade elasticity established for key veterinary services, guiding future price strategy
Clear differentiation in price sensitivity across the service portfolio
A robust control/test methodology enabling precise, repeatable pricing experiments
Pearson Ham Group conducted an in-depth review of pricing data across clinics, identifying inconsistencies and defining key treatment categories for elasticity testing. Control and test groups were created to isolate true price impacts.
A dual strategy was developed, combining price harmonisation (raising prices to minimum thresholds) with price optimisation (tailored increases by treatment type). Analytical models were built to forecast elasticity and profitability outcomes.
Targeted fee adjustments were rolled out across pilot clinics. The impact was tracked using daily transactional data, adjusted for variables such as staff availability and treatment mix to ensure statistical validity.
The client received a dynamic monitoring dashboard and governance model for continuous price tracking and future iterations. The methodology is now scalable for rollout to additional markets and service lines.
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