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


Data-driven insights into pricing model adoption, monetization architecture, and the strategic shift toward usage-based and hybrid billing
SaaS pricing has entered a period of rapid transformation. In 2025, SaaS pricing inflation reached 11.4% compared to 2.7% average G7 inflation, a gap that has pushed vendors to justify list prices with measurable value rather than annual uplifts. At the same time, the underlying architecture of software revenue is changing: consumption metering, hybrid packaging, and expansion-led monetization are replacing rigid seat counts as the primary units of value. Orb's usage-based billing engine is purpose-built for exactly this environment, supporting usage-based monetization, metering at scale, customer-specific pricing, alerts and webhooks, pricing experimentation, and backfills.
Repricing is the most visible pricing decision a software company makes, and it is increasingly a structural exercise rather than an annual percentage. The data below covers how often vendors move list prices, how they bill, and how the pricing function is staffed.
Vertice recorded SaaS prices rising 11.4% year over year in January 2025, against 2.7% average G7 inflation. For vendors, the relevant read is not the buyer cost but the pace at which the market has normalized above-inflation repricing, and the corresponding expectation that increases are backed by demonstrable value delivery.
More than half of software vendors, 58% specifically, raised list prices in 2024, with individual increases reported as high as 25%. The dispersion matters more than the average: where an increase is tied to measured consumption, it is easier to explain than a flat uplift applied across an entire book of business.
Benchmarkit data published by Maxio finds that 43% of SaaS companies bill more frequently than monthly. Billing cadence is a revenue design decision, not an administrative one. Higher-frequency billing fits consumption models, where charges are calculated from metered events rather than accrued evenly across a fixed subscription term.
Zylo reports projected IT budget growth of 2.8% set against subscription price increases of 10% to 20% at several large SaaS vendors in 2025. Against that backdrop, pricing that lets customers start small and expand with measured usage asks less of a constrained budget up front than a step change in committed spend.
The shift toward consumption-based models is the most significant change in SaaS pricing strategy in over a decade. Current research, including Orb's 2026 study of AI-agent pricing, shows usage-linked monetization moving from an experiment to a default.
In a January 2025 survey of 100 SaaS companies, Metronome and Greyhound found that 85% had adopted usage-based pricing in some form. This is a transparent, defined-population benchmark rather than a market-wide extrapolation, and it indicates that usage pricing is now a mainstream component of SaaS revenue design.
Metronome's market analysis finds that 77% of the largest software companies have some level of usage-based pricing. Scale does not appear to be a barrier to consumption models at the top of the market.
Among the companies on Forbes' Next Billion-Dollar Startups list, 64% offer usage-based pricing. Adoption at that level among high-growth entrants suggests consumption pricing is now a common starting architecture rather than a late-stage retrofit.
Metronome reports that nearly 50% of surveyed usage-based pricing adopters implemented it within the prior two years, a timeline consistent with operational maturity trailing adoption. The same research identifies real-time usage tracking, billing process complexity, and pricing optimization as significant challenges for teams running usage-based models.
High Alpha's benchmark data shows that SaaS companies above $50M ARR generate roughly 60% of new ARR from existing customers. At that scale, revenue design is largely expansion design, and the pricing metric shapes whether expansion happens automatically or requires a renegotiation.
Orb's billing engine provides the metering foundation these models require, including metering at scale, storage of raw usage events in the Revenue Graph, pricing changes, alerts, and backfills. For companies operating at extreme event volume, Orb's Hosted Rollups pre-aggregate event data in real time, with deduplication and configurable aggregation windows, for pipelines running north of 500,000 events per second. Orb's pricing page describes the same capability as continuously sending billions of events per day with hosted streaming aggregation.
Comparing performance across pricing models helps companies make informed decisions about their own architecture. The figures below are respondent-reported cohort results, so they describe association rather than proven causation.
Benchmarkit survey data published by Maxio shows companies combining subscription and usage reporting a 21% median growth rate, the highest median in the study. The hybrid structure pairs committed revenue with metered upside, though the benchmark reflects an observed median rather than evidence that the model produced the growth.
SBI's June 2025 survey of SaaS pricing leaders found outcome or performance pricing in use by just 2 of 321 respondents. This is a useful corrective to the common conflation of value-based and outcome-based pricing: charging against measured customer outcomes remains rare in practice, even where value language is common in positioning.
Nearly half of pricing leaders, 48% specifically, report making critical pricing decisions on intuition alone. The gap between the strategic weight of pricing and the evidence base behind it is one of the clearest structural opportunities in the market.
High Alpha's cohort data shows outcome-priced respondents reporting 65% year over year growth, consumption 43%, hybrid 40%, and subscription 34%. These are respondent-reported cohort results rather than randomized evidence, and the outcome-priced population is small, so the ordering should be read as an association between monetization architecture and reported growth.
The same High Alpha analysis reports 105% NRR for hybrid pricing, versus 102% for subscription, 100% for outcome, and 99% for consumption. Hybrid leads on retention as well as growth, which is consistent with a structure that preserves a committed floor while letting consumption expand within an existing contract.
For companies exploring hybrid pricing, Orb handles usage-based, seat-based, and hybrid billing, spanning simple subscriptions through complex enterprise contracts.
Pricing decisions compound across ARR, gross margin, forecasting accuracy, and expansion. The statistics below show where disciplined pricing practice separates from ad hoc practice.
SBI's July 2025 analysis found SaaS companies following data-led pricing approaches were nearly 10 times more likely to exceed growth targets than those relying on instinct. The comparison is cross-sectional, but the size of the difference makes pricing analytics difficult to justify deferring.
SBI reports that SMB software companies are three times more likely than midmarket companies never to raise prices, and when they do raise prices, they are 61% more likely to do so on an ad hoc basis. Pricing cadence, not just pricing level, distinguishes companies with a repeatable revenue design from those improvising.
SBI's 2025 data shows companies with strict discount-approval processes were more than twice as likely to keep discounts below 10% compared with companies operating flexible guidelines. Discount governance is one of the few pricing levers that protects realized price without requiring a list price change.
Benchmarkit data published by Maxio finds that 73% of SaaS companies with usage-based pricing actively forecast variable revenue. Forecasting discipline is what makes consumption revenue plannable, and it depends on granular, queryable usage data rather than invoice-level summaries.
High Alpha reports that expansion revenue already accounts for 40% of total revenue for SaaS companies between $20M and $50M ARR. Well before the enterprise stage, a substantial share of revenue already comes from existing customers rather than new logos.
Orb's simulations let teams experiment on real product-usage data, compare scenarios, and project customer and revenue impacts before a pricing change goes live, so pricing iteration happens with full visibility into the outcome.
Pricing ownership, packaging clarity, and billing transparency shape how a price is received, not just what the price is.
SBI's 2025 research finds 90% of pricing leaders believe their organizational structure is right, even though pricing ownership is distributed across multiple functions. Confidence in structure coexisting with diffuse ownership is worth examining closely, particularly where pricing decisions require product, finance, and go-to-market alignment.
Zylo's 2026 survey reports that 78% of IT leaders encountered unexpected charges linked to consumption or AI features. This is the clearest current evidence that consumption models raise the bar for billing transparency: the pricing model is only as good as the customer's ability to see usage accruing in real time.
High Alpha's data shows companies in the $50K to $100K ACV band reporting 44% median year over year growth and 104% median NRR. In this contract band, reported growth is paired with retention above 100%, meaning expansion more than offsets churn.
SBI found that 98% of surveyed SaaS companies report an internal pricing function or team. Pricing is now a staffed discipline rather than an occasional executive exercise, which raises the expectation that pricing decisions are supported by data infrastructure and repeatable process.
For companies building self-service and transparent billing experiences, Orb's Experience Kit provides pricing calculators, checkout flows, advanced dashboards, and real-time usage visibility, so customers can see what they are consuming before an invoice arrives.
The evolution beyond flat subscriptions runs through discount governance, contract structure, and, at the frontier, outcome-linked pricing. Current data shows where each practice actually stands.
SBI's 2025 discount analysis shows 23% of horizontal solutions granting discounts of 26% or more, compared with 2% of vertical solutions. Differentiated, vertical-specific value is associated with markedly stronger price realization.
The same SBI research reports 48% of companies with strict discount-approval processes keeping discounts under 10%, against 22% of companies with flexible guidelines. Governance, rather than sales team intent, is the variable that separates the two groups.
Benchmarkit data published by Maxio finds that 40% of SaaS agreements are multi-year. Multi-year structures interact directly with usage pricing, since committed terms need drawdown mechanics, overage handling, and mid-term price evolution to work correctly.
Orb's 2026 study of 80 AI-agent companies found 3.8% using outcome-based pricing, down from 4.5% in the 2025 study. Even in the segment where outcome pricing is most discussed, it remains a small minority and its share declined year over year.
AI-agent companies are the clearest current window into modern revenue design, because they are building monetization from scratch against variable, compute-linked costs. Orb's 2026 study of 80 such companies quantifies where they landed.
Among the AI-agent companies analyzed, 95% use hybrid pricing. Note the scope: this is a study of AI-agent companies specifically, not SaaS as a whole, and it shows hybrid architecture as the near-universal default where costs scale with consumption.
Orb found 91.3% of the 80 AI-agent companies analyzed using usage-based pricing, versus 83.3% in the 2025 study. The year over year movement within a consistently defined population is a stronger signal than market-wide adoption estimates.
Subscriptions have not disappeared: 71.3% of AI-agent companies still use them. Committed recurring revenue remains a core component of modern monetization rather than a legacy artifact.
Among AI-agent companies with subscriptions, 94.7% pair them with usage-based pricing. Within this segment, the subscription versus consumption debate has largely resolved into a combined architecture, which requires both contract management and event-level metering in the same system.
Orb's billing infrastructure is built for that combined architecture, handling usage-based, seat-based, and hybrid billing in a single system, with metering at scale, customer-specific pricing, alerts and webhooks, pricing experimentation, and backfills documented on the billing engine page.
Finance teams absorb the operational cost of pricing complexity. Accurate invoicing, revenue recognition, and audit readiness all depend on billing infrastructure that preserves event-level data integrity.
High Alpha's analysis of its 2025 benchmark data shows 31% of companies monetizing AI using hybrid pricing. Hybrid structures create the most demanding finance requirements, since a single invoice may combine committed fees, metered consumption, and credit drawdown across a period.
Zylo's 2026 research reports that 79% of IT leaders encountered price increases in the prior 12 months of renewals. Finance teams on the vendor side need billing systems that can model proposed changes and project their revenue impact before those conversations begin.
Zylo documents subscription price increases of 10% to 20% at several large SaaS vendors during 2025. This is a set of observed vendor actions rather than a market median, and it should not be read as an average increase across the SaaS market.
High Alpha finds that for SaaS companies above $50M ARR, expansion revenue surpasses new-customer revenue. Once that crossover happens, the accuracy of usage measurement and invoicing becomes a primary determinant of reported revenue, not a back-office concern.
Orb's finance workflows include accounts receivable reporting, advanced dunning, and ASC 606 aligned revenue recognition, and can sync invoices, credit notes, and payment records to tools such as NetSuite, so billing output reconciles with the systems finance already runs on.
AI monetization is the fastest-moving variable in SaaS pricing, and current benchmarks show a market still deciding on its structure.
Benchmarkit data published by Maxio finds 44% of surveyed SaaS companies charging for AI-powered features. AI monetization has moved past the experimental stage for a substantial minority of vendors, without yet becoming universal.
SBI's 2025 survey found roughly half of respondents reporting AI-powered features, while only 20% monetized them as paid add-ons. The gap between shipping AI capability and charging for it is the central open question in AI monetization.
Among companies that monetize AI, High Alpha reports 11% using pure usage-based pricing. Pure consumption pricing for AI remains a minority choice, even though the underlying delivery costs are themselves usage-linked.
High Alpha's 2026 analysis of its 2025 benchmark data gives the full distribution for companies monetizing AI: 53% subscription, 31% hybrid, 11% pure usage, and 5% pure outcome. Subscription remains the most common wrapper for AI monetization even as usage-linked components spread.
Pure outcome-based pricing accounts for 5% of companies monetizing AI in High Alpha's data, which aligns with the low outcome-pricing share Orb measured separately among AI-agent companies. Outcome pricing is discussed far more often than it is implemented, and the companies attempting it need unusually precise event measurement to make it work.
For AI companies managing token, compute, and agent-action billing, Orb supports Hosted Rollups for pipelines continuously sending billions of events per day with hosted streaming aggregation. Orb's enterprise page reports customer results including 1.5M invoices processed per month and 40x revenue growth since using Orb to monetize usage.
List price movement has run well above general inflation. Vertice recorded SaaS prices up 11.4% year over year against 2.7% average G7 inflation, with 58% of vendors raising list prices in 2024 and some increases reaching 25%. Zylo documents subscription price increases of 10% to 20% at several large vendors in 2025, set against projected IT budget growth of 2.8%. For vendors, the practical implication is that increases now need to be traceable to delivered value, which is easier to demonstrate when pricing is tied to measured consumption rather than provisioned seats.
The relationship is an observed association rather than a demonstrated cause. In High Alpha's cohort data, outcome-priced respondents reported 65% year over year growth, consumption 43%, hybrid 40%, and subscription 34%, while hybrid led on net revenue retention at 105%. Benchmarkit data published by Maxio separately shows hybrid subscription plus usage companies reporting the highest median growth rate at 21%. Usage-linked models also change how revenue is planned: 73% of SaaS companies with usage-based pricing actively forecast variable revenue.
Current evidence points toward hybrid architecture and disciplined process rather than any single pricing philosophy. Hybrid cohorts report the highest median growth at 21% and the highest NRR at 105%. On process, companies following data-led pricing approaches were nearly 10 times more likely to exceed growth targets, while 48% of pricing leaders still report deciding on intuition alone. Outcome pricing, often recommended in the abstract, was used by only 2 of 321 SaaS pricing leaders in SBI's survey and by 3.8% of AI-agent companies in Orb's 2026 study, so it should be treated as a frontier practice rather than a default.
It has become a first-order concern under consumption pricing. Zylo's 2026 survey found 78% of IT leaders experienced unexpected charges tied to consumption or AI features. Where charges vary with usage, customers need to see consumption accrue in real time rather than discover it on an invoice. Orb's Experience Kit addresses this directly with pricing calculators, checkout flows, advanced dashboards, and real-time usage visibility.
Yes, and the evidence favors it strongly. SBI found that companies following data-led pricing approaches were nearly 10 times more likely to exceed growth targets than those relying on instinct, while 48% of pricing leaders report making critical decisions on intuition alone. Modeling a proposed change against real usage before it ships is what closes that gap. Orb's simulations let teams experiment on real product-usage data, compare scenarios, and project customer and revenue impacts while production billing keeps running untouched.



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