
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.
Effective pricing strategies for Distributed Ledger Technologies (DLT) can make the difference between widespread adoption and market rejection in this rapidly evolving sector. Research shows that pricing structure is particularly critical in DLT, where technical complexity and emerging use cases create unique monetization challenges.
DLT solutions offer transformative capabilities across payments, smart contracts, compliance, and asset servicing - yet pricing these solutions presents unique challenges. The technical complexity of blockchain-based technologies often makes it difficult for customers to clearly understand the value proposition, creating a disconnect between solution capabilities and price perception.
Value-based pricing models have emerged as a dominant approach in DLT, allowing providers to align costs with measurable business outcomes rather than technical specifications. According to Research and Markets (2025), over 60% of enterprise DLT providers now incorporate value metrics in their pricing structure, focusing on operational efficiencies, risk reduction, and compliance benefits.
Transaction volumes and computational demands in DLT environments can fluctuate dramatically, making traditional subscription-only models problematic. This has driven a shift toward hybrid pricing approaches that combine base platform fees with usage-based components.
As observed in the broader SaaS market, rigid pricing models that don't adapt to usage patterns lead to significant customer churn. According to Linkody's 2022-2025 SaaS trends analysis, companies with flexible consumption-based pricing experience 38% lower churn rates than those with fixed-only models. The challenge lies in creating predictable revenue streams while accommodating the inherently variable nature of blockchain transactions.
Pricing strategies for DLT solutions must account for the evolving regulatory landscape. Each jurisdiction may impose different compliance requirements, affecting implementation costs and value delivery. This creates a complex matrix of pricing considerations across global markets.
Forward-thinking DLT providers have begun incorporating regulatory adaptation capabilities as premium service tiers. This approach allows them to monetize compliance expertise while helping customers navigate the changing regulatory environment - a particularly valuable service in finance, healthcare, and government applications.
For many organizations, DLT represents a significant technological shift with uncertain returns. Pricing models must therefore incorporate clear ROI frameworks that connect technology investment to business outcomes. This is especially challenging in an ecosystem where performance metrics and benchmarks are still evolving.
Usage-based pricing has gained traction in this context, as it allows customers to start with lower commitments and scale as they validate benefits. Research from the Distributed Ledger Market Analysis (2024-2030) indicates that organizations prefer consumption-based models for initial DLT deployments, transitioning to more predictable subscription components as usage patterns stabilize.
At Monetizely, we understand the unique pricing challenges facing SaaS companies in the distributed ledger and blockchain space. Our expertise in implementing usage-based pricing models with platform fee safeguards is particularly relevant to DLT providers who need to balance transaction variability with revenue predictability.
Our approach to DLT pricing strategy focuses on aligning your technological innovations with monetization models that capture appropriate value while accelerating market adoption:
Usage-Based Pricing Implementation: We help DLT companies transition from fixed subscription models to hybrid approaches that incorporate transaction-based metrics (per smart contract execution, data processed, or computational resources consumed) while maintaining revenue stability through strategic platform fees.
Value-Based Pricing Research: Using our proprietary research methodology, we identify the precise business outcomes your DLT solution delivers across different customer segments, allowing for value-aligned pricing that resonates with financial services, supply chain, or government buyers.
Package Optimization for DLT Solutions: We analyze feature utilization and value perception to create rational package structures that address the needs of different customer segments while maximizing revenue potential across your DLT offering portfolio.
While we are expanding our dedicated blockchain practice, our proven methodologies have delivered significant results for technology companies with similar pricing challenges:
Usage-Based Transformation: For a $3.95B digital communication SaaS leader, we implemented usage-based pricing with platform fee guardrails, preventing a potential 50% revenue reduction while enabling new use cases and competitive positioning against major cloud providers.
Enterprise Pricing Alignment: We helped a $10M ARR IT infrastructure management software provider develop a consistent pricing model aligned with their enterprise sales motion, combining user-based and company revenue metrics to create a value-aligned pricing structure.
Advanced Pricing Research: Our comprehensive pricing research methods include Van Westendorp price sensitivity analysis, conjoint analysis for package configuration, and Max Diff feature prioritization - all adapted to the unique characteristics of distributed ledger technologies.
Monetizely delivers pricing strategy services through a unique combination of quantitative analysis and qualitative research:
DLT Market Pricing Analysis: We evaluate competitive pricing models across the distributed ledger ecosystem, identifying benchmarks and opportunity gaps.
Customer Value Assessment: Through structured interviews with your customers and prospects, we identify the core value drivers of your DLT solution, creating a foundation for value-based pricing.
Metric Selection & Calibration: We help you identify the most appropriate usage metrics for your DLT platform - whether transaction volume, computational resources, or value-based outcomes - and calibrate pricing against these metrics.
Go-to-Market Strategy Integration: We ensure your pricing structure aligns with your sales process, marketing messaging, and customer onboarding experience, creating a cohesive approach to monetizing your DLT innovation.
By partnering with Monetizely, DLT companies can develop pricing strategies that accelerate adoption while maximizing revenue potential in this dynamic market.
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.
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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.