Breaking Through Monetization Bottlenecks: The Revenue Playbook for Technology Manufacturers

Software, connected services, and AI are creating more opportunities for technology manufacturers to deliver value, but building innovative capabilities is only half the challenge. Monetizing them effectively is where many organizations get stuck. 

In Breaking Through Monetization Bottlenecks, we explore how manufacturers can close the growing gap between what their products can deliver and what their businesses can monetize. You’ll discover five interconnected capabilities that can turn product innovation into a scalable revenue engine, spanning usage intelligence, product packaging, commercial operations, monetization infrastructure, and the customer lifecycle. 

Learn how greater pricing and packaging agility can help you respond to market changes without waiting for lengthy development cycles. See why telemetry and usage data are critical to understanding customer value, improving product decisions, and supporting subscription, consumption, and AI monetization models. The speakers also explore how combining subscriptions, usage-based pricing, credits, and other models can give customers more flexibility while creating opportunities for recurring growth. And because monetization transformation extends far beyond licensing and billing, you’ll learn how to address the organizational and operational bottlenecks that can slow progress. Watch the webinar to identify where your own monetization strategy is getting stuck and walk away with a practical playbook for turning software and AI innovation into sustainable growth.

Software innovation is outpacing monetization readiness

Manufacturers are rapidly adding software, connectivity, data services, and AI to their products, but the commercial infrastructure required to monetize those capabilities often lags behind. Usage tracking, entitlement management, flexible pricing, billing integration, and lifecycle support need to evolve alongside product innovation. Otherwise, increasingly sophisticated products can create additional cost without generating corresponding recurring revenue.

The traditional hardware revenue model is breaking down

A model built around shipping a product and recognizing revenue at the point of sale becomes increasingly limiting when value continues to be delivered through software updates, feature activation, data services, and AI. Connected products increasingly behave like platforms, creating opportunities to capture value throughout the customer lifecycle rather than concentrating revenue in the initial transaction.

Monetization requires five capabilities working together

Scalable monetization depends on interconnected capabilities across data and intelligence, product and packaging, commercial operations, monetization infrastructure, and customer lifecycle operations. Improving only one area can simply move the bottleneck elsewhere. The greater opportunity comes from connecting insight into how customers use products with what can be packaged, sold, provisioned, measured, renewed, and expanded.

Usage data becomes the foundation for better monetization decisions

Telemetry and usage analytics provide visibility into which capabilities customers adopt, how frequently they use them, and where value is being created. That information can inform product investment, packaging, pricing, customer success, and expansion strategies. It becomes particularly important for AI and consumption models, where providers need to understand both customer value and the underlying cost of delivering the service.

Flexible packaging separates commercial decisions from software releases

When packaging is decoupled from the underlying product code, companies can respond to market signals much faster. Features can move between base packages and paid add-ons without requiring substantial software changes or customer upgrades. In one example, a packaging change moved from decision to customer availability in less than a week, illustrating how entitlement-driven packaging can turn commercial agility into a competitive advantage.

Commercial operations must keep pace with increasingly flexible offers

Subscriptions, consumption models, AI services, and hybrid hardware-software offers introduce complexity into quoting, contracting, renewals, and channel management. Modern commercial operations need to make sophisticated offers easier rather than harder to buy. Simplifying licensing and generating entitlements dynamically can eliminate unnecessary SKUs and processes while allowing customers to purchase configurations that more closely match their actual requirements.

Entitlement management provides the operational foundation for recurring revenue

Entitlements are about more than enforcing licenses. Moving entitlement logic out of individual products and into a dedicated platform makes it easier to change packaging, upgrade rights, subscription terms, and monetization models over time. That flexibility allows commercial strategies to evolve without requiring extensive engineering work every time the business wants to make a change.

The customer lifecycle becomes part of the revenue engine

Monetization does not stop when the contract is signed. Activation, onboarding, adoption, self-service, renewals, expansion, and accurate visibility into installed products all influence recurring revenue. Connecting what was originally sold with what customers actually deploy can also provide renewal teams with a more accurate understanding of the customer environment, reducing friction while identifying expansion opportunities.

Monetization bottlenecks are organizational, not just technical

Changing a monetization model can affect sales compensation, forecasting, finance, ERP processes, channel relationships, customer expectations, and IT integrations. Organizations accustomed to selling physical units often have years of processes and institutional knowledge built around that model. Successful transformation therefore requires operating-model changes alongside new technology, particularly when moving toward subscription or usage-based revenue.

AI is increasing the need for pricing and cost flexibility

AI introduces a challenging combination of rapidly evolving customer value and potentially significant infrastructure costs. Static pricing becomes risky when the economics of delivering a capability can change quickly. Organizations need enough flexibility to adjust packaging, usage policies, pricing metrics, and offers as both customer demand and the underlying economics evolve.

The future is hybrid monetization rather than a single model

Perpetual, subscription, consumption, and credit-based approaches do not have to be mutually exclusive. A single portfolio can combine a recurring platform subscription with metered AI capabilities, credits for premium services, and perpetual options for use cases requiring long-term stability. The goal is to select the model that best reflects how customers receive value from each component of the offering.

Monetization maturity develops incrementally

Organizations can progress from hardware-centric transactions through software-enabled offerings, hybrid monetization, platform models, and ultimately models tied more directly to measurable outcomes. Each stage introduces different operational requirements. The priority is not to jump immediately to the most sophisticated pricing model, but to establish the data, entitlement, automation, and lifecycle capabilities needed to support greater flexibility over time.

Monetization should be treated as an ongoing capability, not a project

Perhaps the most important mindset shift is moving away from treating licensing or monetization as something implemented once during a product launch. Markets, customer expectations, costs, products, and business models continuously change. Building an infrastructure that allows the business to respond to those changes creates considerably more long-term value than optimizing for a single monetization model today.

Sustainable growth comes from aligning customer value with revenue

The ultimate measure of monetization maturity is not how many subscriptions or digital products a company launches. It is whether the organization can consistently turn innovation into measurable customer and business outcomes. Recurring revenue growth, feature adoption, renewals, expansion, customer lifetime value, commercialization speed, and reduced revenue leakage provide a more meaningful picture of whether the revenue engine is actually working.