
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
In today's rapidly evolving healthcare technology landscape, radiology groups face critical decisions about which software solutions to adopt—and how those solutions should be priced. Usage-based pricing has emerged as a popular model for many SaaS providers serving the radiology market, but is it always the right approach? Let's explore when this pricing strategy creates alignment and value, and when it might actually work against both vendors and radiology practices.
Usage-based pricing is exactly what it sounds like: customers pay based on how much they use a product. For radiology groups, this might mean paying per scan, per report, per radiologist, or per facility. Unlike traditional subscription models with fixed monthly fees, usage-based pricing scales with actual utilization.
According to a 2022 OpenView Partners report, SaaS companies with usage-based models experienced 38% higher revenue growth compared to their counterparts using pure subscription models. This suggests potential benefits for both providers and customers—but the healthcare context adds unique considerations.
The most successful usage-based pricing models in radiology tie costs directly to value received. If your software demonstrably increases revenue or decreases costs for each additional scan processed, pricing per scan makes logical sense.
For example, AI-based detection tools that improve diagnostic accuracy and reduce liability might reasonably charge per analysis, as each use delivers discrete value. Similarly, workflow optimization tools might charge per study since efficiency gains correlate with volume.
Many radiology groups experience seasonal or unpredictable volume fluctuations. Usage-based pricing allows these practices to pay less during slower periods while scaling up during high-demand times without negotiating new contracts.
For growing practices, this pricing approach eliminates the barrier of high upfront costs, enabling them to adopt advanced technology solutions that might otherwise be out of reach. As one radiology administrator noted in a Healthcare IT Today interview, "We only pay for what we use, which helped us justify adopting AI tools that would have been too expensive with a flat subscription."
Solutions handling protected health information (PHI) under HIPAA regulations or implementing HL7 FHIR standards for interoperability face compliance costs that often scale with data volume and complexity. In these scenarios, usage-based pricing reflects the vendor's true cost structure.
Radiology practices often operate on tight, predetermined budgets. The predictability of fixed subscription pricing helps financial planning, while usage-based models can introduce harmful uncertainty.
According to a 2023 KLAS Research survey, 67% of radiology directors cited "budget predictability" as a top concern when evaluating new software. One respondent noted: "We had to switch vendors because our costs varied so widely month-to-month that we couldn't forecast accurately, despite the per-scan rate seeming reasonable initially."
For platforms that deliver greater value with broader utilization, usage-based pricing can paradoxically discourage the very usage patterns that benefit customers most. If radiologists feel every click or analysis is "running the meter," they may hesitate to fully leverage available tools.
This is particularly problematic for decision support and educational tools where maximum utilization drives better outcomes. Fixed pricing or tiered models often work better in these scenarios.
Large healthcare systems with multiple radiology departments or imaging centers often seek enterprise-wide solutions. Usage-based pricing can become extraordinarily complex in these environments, with different facilities having varied utilization patterns and requirements.
Enterprise customers typically prefer simplified pricing structures with clear price fences between tiers rather than pure usage-based models. One CIO at a multi-hospital system shared with Healthcare IT News: "Tracking usage across 12 different sites became a full-time job for someone. We eventually negotiated a tiered enterprise agreement instead."
Some advanced radiology solutions—particularly those involving sophisticated AI algorithms or specialized infrastructure—have high fixed costs regardless of usage volume. Vendors attempting to recover these investments solely through usage-based pricing may need to set rates so high that they become unpalatable, or risk unsustainable economics.
Many successful radiology SaaS providers are now implementing hybrid pricing strategies that combine elements of both subscription and usage-based models:
According to a Black Book Market Research survey, 72% of radiology group administrators preferred vendors offering flexible pricing options rather than strictly usage-based or subscription-only approaches.
If you're a SaaS provider serving radiology groups, ask yourself:
While the pricing model is critically important, radiology groups ultimately care about value delivery. The most successful SaaS providers in this space focus first on demonstrating clear ROI, whether through improved clinical outcomes, operational efficiency, or revenue enhancement.
Whether you opt for usage-based pricing, subscription models, or a hybrid approach, transparency and alignment with customer goals will always outweigh the specific pricing mechanism. The best pricing strategy is one that grows alongside your customers, allowing both radiology practices and technology providers to succeed together in an increasingly complex healthcare landscape.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.