In the AI era, a successful software monetization strategy is no longer about pricing features or even usage. It is about capturing value across workflows, outcomes, and automated activity, often driven by agents rather than users.
When a board of directors empowers a Product Manager to deliver on strategic business objectives, the PM must have deep insights into usage behavior, value drivers, and pricing sensitivity across different customer segments in order to translate those objectives into a viable, market-aligned monetization model.
In practice, that means going beyond feature delivery and building a clear view of how customers actually derive value from the product; what they use most, what they underuse, where willingness to pay shifts, and how different pricing or packaging structures can influence adoption, expansion, and churn.
Without those inputs, monetization decisions tend to be internally driven rather than value-driven, which makes it harder to align go-to-market execution with C-suite priorities (growth, profitability, retention, or expansion efficiency).
The resulting strategy must address board concerns and customer preferences amid the rapidly changing realities of how products are evolving, particularly when it comes to questions around AI monetization.
Evaluate What You’re Monetizing and How
Every tech company is now a hybrid company or is on track to become one. This hybrid approach creates complexity from a licensing and monetization perspective. Companies that fail to adapt, risk under-monetizing high-value AI capabilities while simultaneously absorbing increasing compute costs.
Many offer some or all cloud-based products, while on-premises deployments continue to demonstrate staying power. Even if a software supplier is focused on a single deployment model now, if they want to expand into new markets, new use cases, or meet evolving customer demands, new components will need to be built, maintained, and modified.
Producers are also transitioning from more traditional software monetization strategies, such as perpetual licensing, to more contemporary approaches, including consumption-based pricing and outcome-based models, as well as combinations of subscriptions with usage-based components.
How all of this is managed requires a clear vision, supported by technology to enable licensing and entitlement management.
Evaluate the C-Suite’s Needs
The C-suite has a vested interest in your software monetization strategy. CEOs and CFOs are focused on increasing recurring revenue and profitability, growing successful product lines and developing core product functionality, accelerating time-to-value, and increasing company valuation. These goals are particularly important as companies aim to become successful SaaS and AI companies, emphasizing the growth of annual recurring revenue (ARR), creating a competitive advantage, and strengthening profitability.
As the cloud costs associated with offering AI products grow, having a software monetization strategy that can scale, support product enhancements, and ensure profitability is crucial in order to preserve margins. Reducing entry and retention barriers is also critical. Rigid license enforcement often isn’t effective, with a more flexible, modern approach that allows a certain amount of overage being advantageous for customer retention.
The C-suite wants data. Clarity into entitlements, renewals, churn, and other key insights should be easily accessible. This team also wants your quote-to-cash process to be streamlined so – in the event of M&A events – acquired products can be easily integrated. Similarly, spinoff events must also be handled well, with clarity into how licenses will be generated by the parent company.
For major events, such as an IPO, financial records need to be standardized, auditable, and compliant. Simultaneously, the C-suite wants to protect the intellectual property (IP) of your company, which requires ensuring users can’t access products and features they’re not entitled to.
Decide Whether to Build or Buy
An effective monetization strategy requires careful consideration of whether to build or buy your software monetization system. As with home improvements, the do-it-yourself approach is often appealing, but it requires custom development that distracts from your core strengths.
Beginning with an existing system, such as a customer relationship management (CRM) tool or identity and access management (IAM) solution, often provides an effective start, but this approach may prove problematic as custom add-ons grow or if disparate products have different approaches to interacting with the system.
The solution gaps that appear may not be manageable over a period of time. Even if an engineering team has the technical skill to launch a system, it may take an extended amount of programming time, distract from revenue-generating product enhancements, or incur hidden expenses – both at the time of launch and for ongoing maintenance.
A comprehensive software monetization strategy should consider the following in order avoid hidden obstacles, including the additional development expenses and opportunity costs that may arise if customer relationships are negatively impacted:
- How does the homegrown system allow for multiple monetization models?
- How effectively does the system measure and charge for usage?
- How is enforcement of contractual obligations handled (automated vs. through contracts and digitally signed documents) to support a streamlined Q2C process?
- How effectively does this prevent revenue leaks (such as through misuse or overuse)?
- How easily can you identify cross-sell and upsell opportunities?
- How will your system scale as products and features are added, including through mergers and acquisitions?
- As products and features are added, how unified is the branding that customers see and how streamlined is the self-service experience?
- What insights and analytics does the platform provide? How easy is it to access this data?
- How will the platform support sales into multiple geographies?
- Will the system be ready in time to meet go-to-market deadlines and product releases?
- Is the creation and maintenance of this system drawing engineering resources away from internal priorities (such as product innovation)?
- What is the total lifetime cost to not only build, but also maintain the system and ensure regulatory compliance?
Software Monetization Strategy 101
Your software monetization strategy can’t be an afterthought, and it’ll never be a one-and-done exercise. You’ll always need to adapt as markets change, customer needs evolve, and monetization models expand.
Regardless of the platform you use to manage entitlements and licensing, your mindset should be flexible enough to evolve alongside changing business priorities, customer expectations, and market opportunities.
The organizations that succeed are those that treat monetization as a strategic, ongoing discipline that directly supports the growth, profitability, and customer value goals the C-suite can’t afford to ignore.
If you’d like advice on how to modernize your software monetization strategy for the AI era, please contact Revenera’s monetization experts today.