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In the Med-Tech industry, launching a product or adjusting a portfolio is never just about clinical performance, it’s about understanding value, pricing, and customer decision-making.
Our Conjoint Insights Series explored the nuanced world of customer preferences, pricing, and market realities. Now, in our latest whitepaper Turning Conjoint Insights into Commercial Reality in MedTech, we show how these insights can be transformed into actionable commercial strategies.
Many Med-Tech manufacturers are surprised when conjoint preference shares don’t align with real-world market performance. But this gap is not a flaw. It’s insight.
In capital equipment categories, like imaging systems or patient monitors, hospitals are often bound by service contracts, IT integration requirements, or training investments. A product may score highly in a conjoint study for usability or functionality, yet adoption lags because of these structural barriers. In consumables, such as catheters or wound dressings, the gap may be smaller, but procurement policies and existing supplier relationships still shape market outcomes.
Conjoint analysis reveals the “pure” demand signal, stripped of commercial constraints. Understanding the divergence between preference and market share highlights untapped opportunities and guides where to focus commercial efforts, whether improving procurement access, refining messaging, or enhancing sales coverage.
Conjoint studies produce part-worth utilities, quantitative measures of how each feature contributes to overall preference. By including price in the analysis, manufacturers can estimate willingness to pay and price elasticity, forming the foundation for value-based pricing.
Simulating preference across price points generates price-response curves, which identify the price that maximizes perceived value, the threshold where demand drops, and the premium potential of differentiated features. But stated preferences alone do not account for procurement frameworks, tender scoring, or installed-base effects.
At IDR Medical, we integrate conjoint data with market realities to refine predictions of price, volume, and margin. This approach ensures that value-based pricing strategies are both evidence-based and commercially achievable.
While conjoint analysis identifies price that maximizes perceived value, leaders need to know the financial impact. By combining conjoint outputs with market and cost data, such as total addressable market, adoption rates, contract terms, and margins, manufacturers can build models that forecast both revenue and profit.
For example, in a recent imaging device launch, conjoint-derived willingness-to-pay data was anchored to hospital procurement cycles and replacement rates. When combined with cost and service data, the resulting model identified the profit-maximizing price tier, demonstrating how insights can translate directly into actionable commercial strategies.
Beyond pricing, conjoint analysis fosters alignment across marketing, finance, commercial, and R&D teams. It identifies which features drive value, informs portfolio optimization, and guides innovation prioritization. By combining quantitative evidence with real-world context, organizations can make decisions that are not just informed, but strategically impactful.
At IDR Medical, we help Med-Tech companies interpret conjoint data within their specific commercial context, turning preference insights into long-term strategic assets.
Turn your conjoint insights into actionable strategies that drive pricing, adoption, and profit in MedTech. Our whitepaper walks you through three essential steps:
Learn why high preference scores don’t always translate to real-world adoption and how this insight identifies untapped opportunities.
Discover how to quantify willingness to pay and price elasticity, enabling pricing decisions that align with customer-perceived value.
See how to integrate conjoint outputs with market and financial data to model revenue, margins, and the most profitable price points.
Download the Whitepaper - Turning Conjoint Insights into Commercial Reality in MedTech
Conjoint analysis is a research technique that quantifies how customers make trade-offs between product features, usability, service, and price. It helps identify which attributes drive preference and how much value customers assign to each.
Unlike traditional surveys, which capture opinions in isolation, conjoint analysis presents respondents with realistic choice scenarios. This simulates actual decision-making, revealing the relative importance of features and pricing in context.
Not always. Preference shares represent the latent demand or “true” pull of a product, but real-world adoption can be constrained by procurement policies, existing contracts, or regulatory frameworks. Understanding this gap is key to commercial planning.
Conjoint outputs allow you to calculate willingness to pay for features and price elasticity. By simulating different pricing scenarios, you can design value-based pricing strategies that align price with perceived customer value.
Conjoint data alone doesn’t provide a full revenue forecast. However, when combined with market dynamics, adoption rates, cost structures, and channel margins, it can feed into financial models that project revenue and profitability.
Conjoint is valuable for med-tech manufacturers, pricing teams, portfolio managers, R&D leaders, and market access strategists. It supports evidence-based decision-making across product development, pricing, and commercialization.
Conjoint studies can model trade-offs made by different stakeholders, such as clinicians, procurement teams, and administrators. This provides a quantitative understanding of which features matter most to each decision-maker.
The key is integrating conjoint results with real-world market constraints and financial models. At IDR Medical, we translate preference data into value-based pricing, revenue forecasts, and portfolio optimization strategies.
Absolutely. Conjoint is flexible and can evaluate preferences for software platforms, monitoring systems, or digital health solutions, highlighting adoption barriers such as IT integration or reimbursement issues.
Our whitepaper, Turning Conjoint Insights into Commercial Reality in MedTech, provides a comprehensive guide to turning conjoint insights into commercial impact, covering pricing, revenue forecasting, and organizational alignment.