
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.
The strategic pricing of patient engagement technology directly impacts both adoption rates and the financial sustainability of healthcare organizations implementing these solutions. In an industry where multiple stakeholders must align to approve investments, pricing models must demonstrate clear return on investment while accommodating the complex reimbursement environment of healthcare systems.
Patient engagement technology faces unique pricing challenges due to its position at the intersection of clinical, financial, operational, and patient experience domains. Each stakeholder brings different priorities to purchasing decisions—clinical leaders focus on outcomes and workflow integration, financial executives scrutinize ROI and reimbursement impact, while IT teams evaluate implementation and integration costs. This necessitates multi-dimensional pricing models that articulate value across all stakeholder concerns.
Unlike standard SaaS pricing, patient engagement solutions must navigate healthcare's complex regulatory and reimbursement landscape. Pricing strategies need to account for how solutions impact provider reimbursement optimization, operational efficiency, and regulatory compliance requirements. Many successful patient engagement vendors now incorporate ROI calculators specifically tied to customer payer mixes and reimbursement scenarios to demonstrate financial value [1].
The healthcare industry's ongoing shift from fee-for-service to value-based care creates tension in pricing models. Patient engagement technology vendors must develop pricing structures that align with both paradigms—offering clear per-provider or per-patient models for traditional buyers while also accommodating outcome-based pricing for organizations embracing value-based care contracts. This dual approach requires sophisticated usage-based pricing metrics and tiered subscription models [2].
As patient engagement platforms increasingly incorporate artificial intelligence capabilities—from predictive analytics to conversational interfaces—pricing these advanced features presents unique challenges. The market shows a trend toward modular AI pricing, with features like chatbots, propensity-to-pay analysis, and personalized patient communication tools typically commanding premium pricing as separate modules or within higher subscription tiers [4].
Recent shifts in patient engagement technology pricing include:
Tiered Subscription Approaches: Most established patient engagement platforms have moved from flat pricing to tiered subscriptions, enabling customers to select appropriate feature sets based on organizational size and needs.
Usage-Based Components: AI-powered features increasingly employ consumption-based pricing models, particularly for predictive analytics and automated patient communications.
Pilot-to-Scale Frameworks: Extended pilot programs (3-6 months) with structured financial outcome targets have become standard, allowing healthcare organizations to validate ROI before full implementation [1].
Combination Metrics: Sophisticated patient engagement solutions now employ hybrid pricing metrics—combining provider counts, patient volumes, and organizational size—to create flexible, scalable pricing.
Consumer-Centric Value Alignment: As patients increasingly behave as healthcare consumers, pricing increasingly reflects patient-centered value drivers such as digital self-service capabilities and mobile engagement features [4].
Monetizely brings specialized expertise to patient engagement technology companies facing the unique pricing challenges of healthcare SaaS. Our approach combines deep SaaS pricing knowledge with healthcare-specific research methodologies to develop optimized pricing strategies for this complex vertical.
Monetizely employs a multi-faceted research approach tailored to healthcare's multi-stakeholder environment:
Agile, In-Person Structured Research: We conduct tailored research aligned with the agile product development cycles typical in patient engagement technology, avoiding the rigid waterfall methods used by traditional consultants [5].
Comprehensive Pricing Research: Our methodology incorporates Van Westendorp surveys, feature prioritization through MaxDiff analysis, and qualitative studies with both clients and prospects to validate pricing and packaging [11].
Value-Based Analysis: We help patient engagement technology companies determine the right blend of pricing metrics—per-provider, per-patient, usage-based, or value-based—to align with healthcare organizations' evolving reimbursement models.
For patient engagement technology companies, Monetizely delivers comprehensive pricing transformation services:
Pricing Strategy Alignment: We align your pricing model with your go-to-market strategy, ensuring consistency between your sales motion and how you package and price your solution [15].
Feature-to-Value Mapping: Our experts help rationalize complex feature sets into coherent packages that resonate with healthcare buyers, reducing friction in the sales process [15].
Pricing Metric Optimization: We guide companies in developing combination pricing metrics that appropriately scale with customer size and usage while maintaining simplicity [15].
Usage-Based Implementation: For companies transitioning to consumption-based pricing for AI features, we implement platform fee guardrails and customer acceptance testing to protect existing revenue [14].
While we maintain strict client confidentiality, Monetizely has helped SaaS companies across multiple industries achieve significant pricing improvements:
Our unique qualifications for patient engagement technology companies include:
Product Management Background: Unlike pure pricing specialists, our team brings deep product management and marketing experience, ensuring pricing strategies align with the real-world demands of SaaS product cycles [5].
Capital-Efficient Approach: We deliver high-impact pricing research without the excessive costs of traditional methods, making sophisticated pricing strategy accessible to companies at all growth stages [5].
Multi-Stakeholder Expertise: Our approach specifically addresses the complex stakeholder landscape of healthcare purchasing, creating pricing models that demonstrate value across clinical, financial, and operational dimensions.
Value-Based Pricing Integration: We help patient engagement technology companies develop pricing that aligns with healthcare's transition to value-based care models.
Contact Monetizely today to discuss how our specialized SaaS pricing expertise can help your patient engagement technology company optimize its pricing strategy, increase deal sizes, and accelerate growth in this dynamic market.
[1] Healthcare SaaS Pricing: Navigating Regulatory and Reimbursement Challenges - Monetizely
[2] Testing Healthcare SaaS Pricing Strategies: Maximizing Value - Monetizely
[3] Patient Engagement Solutions Sourcing Intelligence Report, 2030 - Grand View Research
[4] Patient Financial Engagement 2023 - KLAS Report
[5] 3 Pathways to Increase Revenue in Healthcare Engagement - Myridius
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
1
None of the other premier consultants have actually implemented complex pricing within companies like Twilio and Zoom. This requires operational systems understanding, not just strategy.
In addition, other consultants often "over egg the pudding", they know customers will buy approaches as long as they look/feel scientific, yet we have multiple customers who have spent more >$100k each on conjoint analysis which did not help them at all. We are careful with where we ask you to spend your money.
2
Willingness to pay is context-dependent and works best when analyzed alongside packaging and pricing metrics. We use structured surveys like Van Westendorp, Max Diff, Conjoint Analysis as well as in-person research interviews to gather actionable data.
3
The cost of milk or a McDonald's burger inflates. However, SaaS prices almost always deflate and requires both adjustment of product packages as well as innovation to remain relevant.
Additionally, AI adoption will drive a shift from user-based pricing to more usage/consumption based models to accommodate the very high costs of serving these products. Expect to see deflation over time here as well as the the cost of serving AI products drops by multiples every month.
4
We want to monitor discounting % per package, usage of features within the packages, upsell rate of features to see whether we have a good pricing motion or whether it needs adjusting.
5
The Monetizely team has over 28 years of collective experience in software pricing, having previously worked with industry leaders like Twilio, Zoom and DocuSign, ensuring expert guidance in SaaS pricing strategies.
6
We recommend doing a better job on the pricing testing phase and to mitigate risk roll out the pricing in a phased manner.
For 80-90% of cases, we do not recommend A/B testing as that creates too much market confusion and overhead (in certain cases, doing an advance roll out in a different geo can work).
7
Competitive information is helpful but only a small piece of the picture. Competitors are in different stages of growth. Their product functionality is also different.
We recently had a client where sales teams pushed for lower pricing to compete with current rivals, but the company’s strategic vision aimed to evolve into a new category, making the competitive pricing data less relevant.
8
To kickstart your SaaS pricing optimization, consider consulting with the experts at Monetizely. You can also deepen your understanding by reading our book "Price to Scale" and enrolling in "The Art of SaaS Pricing and Monetization" course on Maven. These resources are crafted to equip you with the necessary skills and knowledge to refine your pricing strategy effectively.