Software Monetization Webinar
Beyond Good/Better/Best: Monetizing Intelligent Devices with Subscriptions, Usage, and AI
Explore AI-driven software monetization with subscription, usage & token pricing models. Learn how to align pricing with customer value and growth.
Original Air Date: June 30, 2026
Overview
Step into the future of software monetization with “Beyond Good, Better, Best: Monetizing Intelligent Devices with Subscriptions, Usage, and AI.” In this fast-paced, insight-rich session, Michael Goff of Revenera is joined by pricing strategy expert Philip Daus (Simon-Kucher) and digital platform leader Peter Loft (Schneider Electric) to unpack how today’s software and technology providers are rethinking revenue models.
You’ll gain a clear view of how monetization has evolved from traditional perpetual licensing to subscription, usage-based, and emerging outcome-driven models—and why AI is accelerating that shift faster than most organizations are prepared for. Learn how leading enterprises are navigating the complexity of hybrid pricing, balancing customer expectations with profitability, and avoiding the common pitfalls that stall monetization transformation.
Through real-world examples from Schneider Electric, this webinar goes beyond theory to show how large-scale organizations successfully transition to consumption and token-based models while supporting partner ecosystems and managing risk. You’ll also hear candid perspectives on why “good, better, best” packaging may no longer be enough—and what it takes to align pricing with customer value in a rapidly changing market.
Whether you’re refining your current pricing strategy or preparing for the next wave of AI-driven change, this session will equip you with practical frameworks, proven strategies, and the confidence to evolve your monetization approach—without leaving revenue on the table.
Recap
The Evolution of Software Monetization Models
The webinar opens with a clear narrative of how monetization has evolved—from perpetual, on-premise licensing to subscription (SaaS), then toward usage-based and hybrid models, and now into early forms of outcome-based pricing driven by AI. What stands out is how each shift reflects a deeper alignment with customer value, but also introduces increasing complexity. The discussion highlights that AI is accelerating this progression, forcing companies to rethink how they capture value faster than ever before.
The Acceleration Toward Hybrid Pricing
Rather than a single dominant pricing model emerging, the conversation underscores the rise of hybrid approaches. Most organizations today combine subscriptions, usage metrics, and elements of outcome-based pricing. This reflects a practical response to diverse customer needs and market pressures, but it also creates operational and communication challenges. The key takeaway is that hybrid pricing is becoming the default—not because it’s simple, but because it’s necessary.
AI as a Catalyst for Pricing Disruption
AI is identified as a major forcing function behind current monetization challenges. As AI reduces reliance on seat-based models and introduces significant cost variability, traditional pricing structures become less viable. What’s particularly interesting is the tension between needing to recover rising AI costs while anticipating that those costs will fluctuate over time. This creates a moving target for pricing strategy, requiring continuous adjustment rather than periodic updates.
The Decline of Seat-Based Pricing
A critical theme is the long-term erosion of seat-based pricing models. As AI-driven automation reduces the need for human users, the logic of per-seat pricing weakens. Even if the shift isn’t immediate, the panel agrees it is inevitable. This creates urgency for companies to experiment with alternative models that better reflect consumption, outcomes, or delivered value.
The Enduring—but Evolving—Role of Good, Better, Best Packaging
The “good, better, best” framework remains widely used, but its effectiveness is being challenged. While it simplifies selling and supports upsell paths, it struggles to accommodate the complexity of modern offerings—especially when layered with usage-based or AI-driven components. The discussion suggests that companies are adapting this model by blending it with consumption elements, but doing so risks reintroducing the very complexity the framework was meant to eliminate.
Token-Based Pricing as an Emerging “Middle Ground”
Token-based (or credit-based) pricing is presented as a promising approach that bridges flexibility and predictability. By allowing customers to pre-purchase value and consume it across multiple use cases, tokens can unify disparate pricing metrics under a single system. The most compelling insight is that tokens enable companies to support multiple pricing logics simultaneously—but at the cost of added complexity in both explanation and execution.
Managing Underuse vs. Overuse in Consumption Models
A nuanced discussion highlights the trade-offs inherent in consumption-based pricing. Underuse can limit customer value realization and hurt renewals, while overuse can create friction or unexpected costs. Interestingly, the panel notes that underuse is often the more manageable problem, because it can be addressed through better onboarding and engagement, whereas overuse can directly impact customer trust and satisfaction.
Monetization Is Now a Full Business Model Transformation
One of the most important insights is that pricing changes are no longer isolated decisions—they require a holistic transformation. Moving to usage or token-based models affects everything from sales incentives to customer success, onboarding, and product design. The panel emphasizes that every function in the organization becomes responsible for driving ongoing customer value realization, not just closing the initial sale.
The Operational Complexity of Pricing Transformation
The webinar makes it clear that designing a pricing model is only a fraction of the challenge. Implementation—especially in large B2B organizations—can take months or even years. Migration planning, stakeholder alignment, and system readiness are often underestimated. The most interesting takeaway here is that companies frequently fail not because of poor strategy, but because of insufficient planning for execution and change management.
The Customer Migration Challenge
Transitioning existing customers to new pricing models is highlighted as one of the most difficult aspects of monetization transformation. Companies must carefully consider how changes impact different customer segments, particularly those facing price increases or budget uncertainty. The discussion emphasizes the need for phased migration strategies and tailored approaches at the account level to minimize resistance and churn.
The Importance of Customer-Centric Design
A recurring theme throughout the webinar is the importance of starting with the customer. Attempts to impose new pricing models without considering how customers prefer to buy and budget often fail. The most compelling example shared is how aligning pricing with existing buying behaviors—rather than forcing change—can significantly improve adoption and reduce friction in sales conversations.
Outcome-Based Pricing: Promise vs. Practicality
While outcome-based pricing is often seen as the “holy grail,” the webinar provides a grounded perspective on its challenges. Measuring outcomes, aligning incentives, and maintaining long-term value can be difficult in practice. In some cases, initial gains may taper off, turning successful engagements into diminishing returns over time. This makes outcome-based pricing appealing in theory, but complex to sustain.
Continuous Change as the New Normal
Perhaps the most overarching theme is that pricing is no longer a static decision. Rapid changes in technology, cost structures, and customer expectations mean that pricing strategies must evolve continuously. The panel notes that even large, traditionally slow-moving organizations are being forced to adapt at a faster pace, fundamentally changing how pricing is managed over time.
Aligning Price with Value Remains the Core Challenge
Despite all the innovation in pricing models, the central challenge remains unchanged: aligning price with perceived customer value. Each model—whether subscription, usage-based, tokenized, or outcome-driven—introduces trade-offs in how well it captures that value. The webinar reinforces that there is no perfect model, only better alignment for specific contexts.
Speakers
Philip Daus
Partner
Simon-Kucher
Peter Loft
Product Owner for Digital Supply Chain
Schneider Electric
Frequently Asked Questions
Modern software monetization has evolved far beyond one-time licenses into a mix of subscription, usage-based, and hybrid pricing models. Many software providers now combine multiple approaches to better align pricing with how customers consume value. Subscription models still provide predictability, but usage-based and outcome-oriented pricing offer higher scalability and closer alignment with ROI. The most effective strategy today is rarely a single model—it’s a flexible mix that adapts to different customer segments and use cases. As markets evolve, especially with AI, companies must continuously reassess their monetization approach to stay competitive.
Usage-based pricing allows software companies to scale revenue alongside customer adoption and real-world product usage. Instead of fixed fees, customers pay based on how much value they actually consume, making pricing feel more fair and transparent. This model can drive expansion revenue naturally as customers increase usage over time. However, it also introduces challenges such as forecasting revenue and managing customer expectations around cost variability. When implemented well, it creates a strong alignment between product value and monetization, which is critical for long-term growth.
Companies are moving away from traditional seat-based pricing because value no longer scales with the number of users. As AI, automation, and digital services do more work autonomously, companies can achieve more with fewer people, making seat counts a poor proxy for value. Instead, vendors are increasingly adopting usage-based, credit-based, hybrid, or outcome-based models that align pricing with actual consumption, business results, and underlying AI/cloud costs.
Hybrid pricing combines multiple pricing models—such as subscriptions, usage-based fees, and add-ons—into a single offering. This approach allows software producers to balance predictable revenue with scalable growth opportunities. It also gives customers flexibility, enabling them to choose how they want to consume and pay for software. While hybrid pricing can increase complexity, it often provides the best alignment with diverse customer needs. As software offerings become more sophisticated, hybrid pricing is quickly becoming the standard approach.
“Good, Better, Best” packaging is still widely used because it simplifies buying decisions and creates clear upsell paths. However, it can struggle to keep pace with more dynamic pricing models like usage-based or AI-driven pricing. As software offerings become more modular and complex, rigid packaging can limit flexibility and fail to capture full value. Many companies are now blending tiered packaging with consumption-based elements to modernize their approach. The key is maintaining simplicity for customers while enabling scalability for the business.
Credit-based (or token-based) pricing gives customers a pool of credits that can be spent across different features, services, or AI-powered actions. Each activity consumes a set number of credits, allowing customers to use the product in the way that delivers the most value to them while giving vendors a flexible way to align pricing with actual usage. This model is often used when consumption varies widely or when AI and automation make traditional seat-based pricing less relevant.
Transitioning to a new pricing model is not just a financial decision—it’s an organization-wide transformation. Companies often face challenges with internal alignment, customer communication, system integration, and sales incentives. One of the biggest hurdles is managing existing customers who may resist pricing changes or face cost increases. Without a clear migration strategy, businesses risk churn or stalled adoption. Successful transitions require careful planning, stakeholder alignment, and a strong focus on customer experience.
AI is forcing companies to rethink pricing because it changes both how value is delivered and how costs are incurred. AI features often operate autonomously, making seat counts a less meaningful measure of value. As a result, many vendors are shifting toward usage-based, credit-based, hybrid, or outcome-based models that better align pricing with customer value and AI-related costs. The the fast pace of AI innovation means pricing strategies may need to evolve frequently. Organizations must stay agile and continuously refine their pricing to keep up with both costs and customer expectations.
Aligning pricing with customer value starts with understanding how customers use your product and what outcomes they care about most. Pricing models should reflect measurable value drivers, such as efficiency gains, usage levels, or business outcomes. Companies that fail to align pricing with value risk underpricing their products or losing customer trust. Segmentation plays a key role, allowing businesses to tailor pricing to different customer needs and willingness to pay. Ultimately, value-based pricing leads to stronger customer relationships and better monetization performance.
A successful monetization transformation requires more than just choosing a new pricing model—it requires a holistic approach. Companies should start with customer research and segmentation to ensure alignment with real-world needs. From there, they must build a clear migration plan that minimizes disruption and communicates value effectively. Internal alignment across product, sales, finance, and customer success teams is critical for execution. Finally, continuous iteration is essential, as pricing strategies must evolve alongside market trends and technological advancements.
Resources
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This guide outlines how to build a strategy that shifts focus from being about who’s using your software to how it’s being used, creating a pricing model that works for both customers and producers.
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