
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 the rapidly evolving landscape of power distribution utilities, SaaS solutions have become essential tools for managing complex operations, ensuring regulatory compliance, and optimizing grid performance. However, one critical question often perplexes both SaaS vendors and utility executives alike: which pricing model best serves this unique industry?
Whether you're a SaaS provider targeting the utility sector or a utility executive evaluating software solutions, understanding the optimal pricing metric is crucial for creating sustainable business relationships that deliver value to both parties. Let's explore the three dominant pricing approaches—per seat, per transaction, and outcome-based—and determine which best aligns with the distinct needs of power distribution utilities.
Before diving into pricing metrics, we must acknowledge the distinctive characteristics of the power distribution sector:
These factors create a complex environment for SaaS pricing that differs significantly from other industries.
Per-seat (or user-based) pricing has been the traditional SaaS model across many industries. Under this model, utilities pay based on the number of users who need access to the software.
Per-seat pricing often misaligns with value in utility environments. For example, a NERC CIP compliance solution might only have a handful of direct users but delivers organization-wide value by preventing costly regulatory penalties. Similarly, a grid optimization platform might be operated by just a few engineers but generates millions in operational savings.
As one operations director at a mid-sized utility remarked: "We have three engineers using our advanced distribution management system, but it impacts every customer in our service territory. Paying primarily for user licenses doesn't reflect the scope of value we're getting."
Transaction-based or usage-based pricing ties costs to actual system utilization—whether that's API calls, data processing volume, or specific functional operations.
Power utilities often experience significant usage fluctuations during outage events or seasonal peaks. A transaction-based model could create unpredictable cost spikes precisely when the utility is already managing emergency operations.
Additionally, the "transaction" concept doesn't always translate well to utility operations. Is a transaction a meter read, a switching operation, or a compliance report? The ambiguity can create friction in contract negotiations and invoice reconciliation.
Value-based or outcome-based pricing ties software costs directly to the business value delivered—such as reliability improvements, operational savings, or compliance achievements.
Implementing outcome-based pricing requires clear, measurable success metrics that both parties agree upon. It also necessitates more sophisticated contract structures and potentially more complex vendor relationships.
Research from the Electric Power Research Institute (EPRI) indicates that no single pricing model perfectly addresses all utility SaaS needs. Instead, the most successful implementations typically employ hybrid approaches tailored to specific use cases.
Many utility-focused SaaS providers have found success with an enterprise pricing structure featuring value-based tiers. This model typically includes:
This hybrid approach provides the predictability utilities require while still maintaining alignment with delivered value.
Whether you're a SaaS provider or utility executive, consider these principles when establishing pricing structures:
A leading outage management system provider recently shifted from a traditional per-seat model to a hybrid approach for power distribution utilities. The new structure included:
According to their case study, this restructuring resulted in a 64% increase in customer lifetime value while improving customer satisfaction scores by 27%. More importantly, utilities reported easier budget approvals and faster deployment times under the new model.
As the industry continues its digital transformation, we're likely to see further evolution in pricing models. Emerging trends include:
The optimal pricing metric for power distribution utilities SaaS doesn't follow a one-size-fits-all formula. Instead, it requires thoughtful consideration of the specific utility's needs, the software's value proposition, and the operational context.
For most utilities, a hybrid approach combining elements of enterprise pricing with value-based components will provide the best balance of predictability and alignment. This approach recognizes both the unique operational characteristics of utilities and the transformative potential of well-implemented SaaS solutions.
Before committing to any pricing structure, both vendors and utilities should engage in transparent discussions about value measurement, usage patterns, and success metrics. The strongest vendor-utility relationships are built on pricing models that create mutual success rather than transactional exchanges.
As you evaluate SaaS solutions for your utility or design pricing for utility customers, remember that pricing isn't just a financial arrangement—it's a framework for how value is recognized, measured, and shared between technology providers and the essential power distribution infrastructure we all depend on.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.