Choosing your usage-based value metric: the layer cake pricing model


Market data showing why usage-based billing has become a leading monetization strategy for modern software companies
Consumption-based pricing has moved from an emerging trend to a mainstream option, with 85% of the 100 SaaS companies surveyed by Metronome in January 2025 reporting that they had adopted usage-based pricing. This shift reflects a change in how software companies align revenue with customer value. Yet executing consumption pricing at scale requires sophisticated billing infrastructure that can meter usage accurately, support flexible pricing models, and provide the financial controls that enterprise finance teams require.
Consumption-based pricing ties customer costs directly to usage rather than fixed fees or seat counts. This model requires granular usage metering that records raw usage events, sophisticated billing logic to apply pricing rules, and transparent reporting so customers understand their charges.
The usage-based billing software market shows sustained expansion potential. Valued at $6.86 billion in 2025, it is projected to reach $11.50 billion by 2032. This trajectory reflects the operational shift from subscription-only models to consumption-driven revenue.
Analysts project a 7.65% CAGR for the usage-based billing software market from 2026 through 2032. Continued growth at that rate points to steady demand for consumption-aligned monetization infrastructure.
In Metronome's January 2025 survey of 100 SaaS companies, 85% had adopted usage-based pricing. That result indicates broad adoption across the surveyed sample, though it describes adoption rather than establishing that any individual company must adopt the model.
TrendX estimates that North America accounted for roughly 62% of usage-based billing market revenue in 2025. TrendX describes this work as preliminary, model-based research, and its headline figures are internally inconsistent, so the share is best read as an estimate rather than an audited market fact. TrendX also sizes the overall market far smaller than the ResearchAndMarkets forecast cited above, so the two figures are not directly comparable. The regional concentration reflects the mature SaaS ecosystem in the U.S. market.
TrendX projects Asia-Pacific to record the highest regional CAGR in the usage-based billing market through 2034. The same preliminary-research caveat applies. This projection reflects expanding cloud infrastructure adoption and SaaS penetration across emerging markets.
Companies using consumption-based pricing show stronger growth than subscription-priced peers in current benchmark data, though the picture is not uniform across every metric. Aligning price with delivered value can open expansion paths that flat-rate models capture less directly.
In the 2025 SaaS benchmark data reported by High Alpha, consumption-based companies grew 43% year over year, compared with 34% for subscription-priced companies. Consumption ranked second of the four models measured: outcome-based pricing grew fastest at 65%, and hybrid pricing grew 40%. All three variable models outpaced subscription pricing, which supports the broader point that tying price to delivered value can enable expansion as customer usage grows.
Usage pricing ranked as the No. 1 revenue model contributing to growth in Salesforce's 2026 State of Sales data. That ranking reflects how sales organizations currently assess the contribution of each monetization model.
As of April 2025, L.E.K. reported that SaaS Capital Index companies using primarily usage-based pricing traded at 7.4x mean and 7.8x median revenue multiples, against 6.9x mean and 6.5x median for hybrid companies and 6.6x mean and 3.9x median for primarily subscription companies. The median gap is far wider than the mean gap. L.E.K. notes this premium holds despite lower margins and weaker Rule of 40 performance, and cautions that it may narrow as the model becomes more common, so the gap is best understood as a point-in-time comparison rather than a permanent premium.
At companies using usage pricing, 40% of sales professionals say forecasting revenue is a top challenge. Variable consumption makes forward revenue harder to model, which is why finance and sales teams need usage data that is both granular and auditable.
Hybrid-priced companies recorded 105% NRR in the 2025 benchmark, versus 102% for subscription, 100% for outcome-based, and 99% for pure consumption. Notably, pure consumption did not lead net revenue retention, which is a useful corrective to the assumption that usage alignment automatically improves retention.
64% of companies on Forbes' Next Billion-Dollar Startups list offer usage-based pricing. Adoption is concentrated among high-growth companies, though the association alone does not establish why those companies chose the model.
Teams evaluating pricing changes can use simulation tools to model pricing and customer impact using real product-usage data and compare scenarios before rollout, reducing the risk of pricing experiments.
Effective consumption pricing requires granular visibility into usage patterns, billing accuracy, and customer behavior. Without proper instrumentation, companies risk revenue leakage or customer disputes.
77% of the largest software companies have incorporated some level of usage-based pricing. This figure applies specifically to the largest software companies in the source's scope, and it indicates that consumption pricing is workable inside complex, established revenue operations.
Among companies using usage-based pricing, 78% adopted it within the previous five years, and nearly half adopted within the prior two years. The recency of adoption explains why so many billing systems are still catching up to the demands of consumption models.
76% of sales leaders say usage pricing is more important to customers now than it was a year earlier. Rising buyer interest puts pressure on vendors still operating exclusively on legacy seat-based models.
Accurate billing depends on maintaining a complete record of raw usage events rather than aggregated data. This raw data layer enables retroactive adjustments when corrections are needed, supporting accurate, auditable billing.
The shift to consumption pricing affects every aspect of SaaS operations, from product development to financial planning. Companies must adapt their systems and processes to support this model effectively.
Per-usage pricing represented 36.5% of contracts in Q2 2026, making it the single most common pricing model in Vertice's dataset, up from 34.0% in Q1. Being the most common model is not the same as being a majority of contracts, and the remaining share is still spread across per-user, hybrid, and flat-rate structures.
Hybrid subscription-plus-usage models had the highest median growth rate, at 21%, in Maxio's 2025 SaaS pricing benchmark. This balanced approach captures the benefits of consumption pricing while maintaining more revenue predictability, and it depends on price modeling that can express platform fees and usage components in the same contract.
Per-user pricing represented 32.4% of contracts in Q2 2026, down 2.6 percentage points from Q1. This decline directly documents the shift away from seat-led monetization in Vertice's contract data.
Consumption-based models showed a 37.6% average monthly budget variance, compared with 19.8% for hybrid models and 4.1% for seat-based models. Vertice also found it takes less than six months for a consumption-priced contract to drift more than 15% from its original forecast. That volatility is the core operational fact of consumption economics, and it is what makes usage forecasting, spend alerting, and invoice explainability necessary rather than optional.
Among SaaS companies monetizing AI, High Alpha reports 53% subscription, 31% hybrid, 11% pure usage, and 5% pure outcome-based pricing. AI monetization is therefore not yet synonymous with pure consumption pricing, and vendors need billing systems that can support all four structures at once.
Modern consumption pricing extends beyond simple per-unit charges. Advanced approaches include dimensional pricing across multiple variables, prepaid credit systems, and hybrid structures that combine usage with platform fees.
Hybrid pricing accounted for 31.1% of contracts in Q2 2026, up 0.1 percentage point from Q1. This hybrid approach balances revenue predictability with usage-aligned value capture.
In the same Andreessen Horowitz survey of 100 enterprise CIOs, hybrid models placed second at 23%, combining seat, usage, and sometimes outcome-based components. This structure suits platforms where both user access and resource consumption drive value.
In an Andreessen Horowitz survey of 100 CIOs across 15 industries, 39% said they favor pricing tied to tokens, API calls, or time, making usage-based pricing the most preferred model. The survey covers how enterprises build and buy generative AI, so the preference is specific to AI purchasing rather than software buying generally.
In the Andreessen Horowitz CIO survey, traditional seat-based pricing lagged at just 21%, behind both usage-based and hybrid models. The finding is scoped to enterprise generative AI buying rather than software purchasing generally. Separately, per-usage pricing surpassed per-user pricing in Vertice's Q2 2026 contract data, which supports the narrower claim that seats are losing share as the default structure.
Companies implementing complex pricing can leverage price modeling capabilities to define unit pricing, tiered pricing, and dimensional pricing across multiple variables, reducing engineering bottlenecks when pricing evolves. Orb's dimensional price groups support pricing across multiple usage dimensions, such as region, instance type, and environment, using a single pricing configuration for dimension combinations.
Consumption pricing creates unique challenges for finance teams, including revenue recognition complexity, unpredictable cash flows, and reconciliation requirements. Proper finance workflows address these challenges systematically.
73% of SaaS companies with usage-based models actively forecast variable revenue. Forecasting under a consumption model depends on complete usage history and consistent aggregation logic, because the revenue base changes with customer behavior rather than with contract count alone. Teams that cannot reconstruct how a given invoice was calculated cannot forecast the next one with confidence.
Financial controls matter for consumption models. Orb's enterprise controls prevent edits to closed accounting periods and keep an immutable log of billing changes with timestamps and attribution, while native integrations with systems like NetSuite create standard NetSuite transaction records and reduce manual stitching and reconciliation.
Customers need to understand what they are being charged for. When charges are hard to trace, disputes increase and budget owners lose confidence in the line item. Providing usage visibility and spend controls addresses these concerns proactively.
In the past year, 78% of IT leaders reported unexpected charges tied to AI features or consumption-based pricing, and 61% cut projects because of unplanned SaaS cost increases. Because the figure covers AI features and consumption pricing together, it reflects a cost-visibility and budget-control challenge across both, rather than a measurement of consumption billing alone.
This statistic highlights why spend controls and balance alerts matter. Customers need tools to monitor usage, set spending thresholds, and receive notifications before charges exceed expectations. The Experience Kit provides pricing calculators, checkout experiences, and advanced dashboards for planning, monitoring, and optimizing usage.
Companies that implement consumption pricing report operational improvements and revenue growth. The examples below are customer-reported outcomes, and they illustrate what billing infrastructure built for usage models can support.
Organizations using Orb for consumption-based billing report measurable results:
These outcomes are examples of what becomes possible when billing infrastructure handles the complexity of consumption pricing rather than requiring custom engineering for each pricing change.
Consumption-based pricing aligns vendor revenue with customer value, which can enable expansion as usage grows. In the 2025 benchmark reported by High Alpha, all three variable models outgrew subscription pricing, with consumption-based companies at 43% year over year against 34% for subscription. Retention tells a different story: hybrid-priced companies led net revenue retention at 105%, while pure consumption trailed at 99%. As of April 2025, L.E.K. also found higher revenue multiples for primarily usage-based companies, while cautioning that the gap may narrow. The model can additionally lower the barrier to adoption, since buyers start small and scale spending as they realize value.
Subscription pricing charges a fixed amount regardless of usage, while consumption-based pricing ties costs directly to what customers use. Subscriptions provide revenue predictability but may create shelfware or capture expansion less directly. Consumption models capture value more precisely but require sophisticated metering and billing infrastructure to execute effectively. Many companies use hybrid approaches that combine elements of both, and hybrid structures posted the highest median growth rate in Maxio's 2025 benchmark.
Key challenges include accurate usage metering at scale, handling mid-cycle changes and retroactive adjustments, managing revenue recognition complexity, forecasting variable revenue, and providing sufficient usage transparency to customers. Many companies underestimate the engineering investment required for custom billing systems, leading to technical debt and operational bottlenecks as pricing evolves.
Effective transparency requires usage dashboards, detailed invoice breakdowns showing event-to-charge lineage, spend alerts before charges exceed thresholds, and historical usage analytics. The goal is enabling customers to understand exactly what they consumed and how charges were calculated, which reduces the unexpected-charge problem that most IT leaders report.
Automation is essential for consumption pricing at scale. This includes automated event ingestion and deduplication, usage aggregation, configurable pricing rules, automated invoice generation, and integrated revenue recognition. Without automation, finance teams face manual reconciliation work that does not scale with transaction volume or pricing complexity.



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