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Part 2 of the IDR Medical Conjoint Insights Series
Setting the right price for a new medical device means balancing value perception, clinical differentiation, and competitive dynamics in markets where procurement is complex.
In Part 1 of this series, we highlighted why preference shares from conjoint analysis should not be mistaken for market share.
Here in Part 2, we build on that foundation, showing how preference data, when combined with price, becomes a powerful engine for designing evidence-based, commercially realistic pricing strategies.
Every conjoint study generates part-worth utilities, quantitative measures of how much each attribute contributes to customer choice. Crucially, this includes price, enabling us to assess:
In other words, conjoint doesn’t just show which configuration customers prefer; it reveals how much that preference is worth. This transforms preference data into value-based pricing insights, ensuring that pricing reflects the true incremental value delivered, rather than internal cost assumptions or competitor benchmarks.
Once price utilities are established, conjoint data can be modelled into price response curves. These curves illustrate how predicted preference changes as price moves, assuming competitors hold their position.
For example:
These insights provide clarity on where price sensitivity matters and where value justifies a premium.
Conjoint provides the price point that maximises perceived value and adoption potential. However, pricing decisions never happen in isolation.
To be operationally effective, conjoint outputs must be interpreted through the lens of:
At IDR Medical, we integrate conjoint-derived price sensitivity with real-world commercial constraints. The result is pricing guidance that is:
For clients requiring deeper commercial view, we extend conjoint analysis into pricing and revenue simulations that link price response with:
This enables teams to test “what if” scenarios such as penetration pricing, premium strategies, bundled offers, or subscription models, and understand the revenue and margin implications of each.
In many cases, the conjoint-derived price recommendations are sufficient on their own. In others, they become the foundation of a full commercial model. Our approach at IDR Medical remains flexible by design.
Conjoint analysis doesn’t just measure preference - it monetises it.
By converting stated preferences into financial insights, it provides a defensible, data-driven roadmap to pricing success for Med-Tech manufacturers.
Whether assessing price elasticity, modelling willingness-to-pay, or simulating alternative pricing scenarios, conjoint helps ensure pricing decisions are robust in theory and effective in the market.
Ready to translate customer insights into revenue and market growth? Let’s talk.
At IDR Medical, we help Med-Tech manufacturers turn conjoint insights into actionable pricing and value strategies. Whether you’re defining launch price points, refining value messaging, or exploring margin optimisation, our team can help you translate data into decisions.
This article is part 2 of IDR Medical’s Conjoint Insights Series: