Market data revealing why usage-based billing, strategic pricing, and accurate metering are reshaping how software companies capture revenue
The SaaS monetization landscape is undergoing a fundamental transformation. Hybrid pricing, which combines two or more pricing models, is now the single most common monetization model in a 2026 survey of 230 B2B software and AI companies, used by 37% of companies surveyed. In the same survey, 25% of respondents said they had hybrid pricing 12 months earlier. The challenge is no longer building great software. It is designing revenue systems that align pricing with the value customers actually receive. Modern usage-based billing platforms address this gap by enabling companies to meter consumption accurately, execute complex pricing models, and maintain the financial visibility needed for sustainable growth.
Key takeaways
- Hybrid pricing is now the most common model in this survey: 37% of respondents reported hybrid pricing, while 25% said they had hybrid pricing 12 months earlier
- Pricing is being actively redesigned, not maintained: roughly three in four companies changed their pricing or packaging in the past year, which raises the operational need for billing systems that can execute change safely
- Pricing architecture shows up in retention: companies on usage pricing report 108% NRR versus 98% for seat-based pricing, a 10 point difference
- Expansion is a major growth contributor: 40% of net-new ARR comes from expansion at the median, which increases the importance of accurately measuring the drivers of expansion, including consumption in usage-based models
- AI margin targets sit below software margin benchmarks: Benchmarkit reports a median software gross margin of 80%, while a separate Growth Unhinged survey reports a median target AI gross margin of roughly 50%, with only 12% of companies targeting 80% or higher
- Credit-based AI monetization is already material, with further adoption planned: 29% of companies already use AI credits and another 33% plan to introduce them within 6 to 12 months
The power of SaaS subscription management for growth
Effective subscription management goes far beyond collecting payments. It encompasses the entire customer lifecycle, from initial plan selection through upgrades, downgrades, and renewals. As retention benchmarks compress, the operational requirement is infrastructure that can measure consumption precisely and execute expansion and contraction without manual intervention.
1. Median NRR for B2B SaaS at least $250K ARR is 82%
Among B2B SaaS businesses at or above $250K ARR, median net revenue retention was 82%, with the upper quartile at 97%, in ChartMogul's 2025 retention analysis. At that level, expansion no longer offsets contraction for the typical company, which raises the operational need for pricing that scales with delivered value and for billing systems that can iterate on price.
2. Market-wide gross revenue retention fell from 88% to 84%
Benchmarkit reports market-wide GRR falling from 88% to 84%, with the 75th percentile moving from 95% to 91%. Erosion at the top quartile as well as the median means retention pressure is broad rather than concentrated in weaker performers.
3. AI-native companies show 48% NRR and 40% GRR
AI-native companies posted 40% gross revenue retention and 48% net revenue retention in ChartMogul's 2025 analysis. For companies operating with retention at these levels, billing infrastructure that supports pricing changes without re-platforming gives teams more room to iterate on monetization while preserving billing continuity.
Pricing strategies and their impact on monetization
Pricing decisions directly determine revenue potential. The shift toward hybrid, usage, and credit-based models reflects a fundamental change in how software companies align their revenue with customer value delivery.
4. Hybrid pricing is the most common model in the 2026 survey at 37%
In a survey of 230 B2B software and AI companies fielded in April and May 2026, 37% reported using hybrid pricing, making it the most common model in the sample. The source defines hybrid pricing as combining two or more pricing models, such as a per-seat subscription with AI consumption on top. That combination increases the operational need for billing systems that can execute multiple charging dimensions coherently.
5. Respondents reported 25% hybrid pricing 12 months earlier versus 37% in the 2026 survey
In the same survey, 25% of respondents said they had hybrid pricing 12 months earlier, compared with 37% at the time of the 2026 survey. Because the earlier figure is respondents' retrospective report rather than a separately observed longitudinal market sample, it is best read as evidence of reported change within the survey population. For operators revising monetization, that pace of change increases the need for versioned price plans and controlled migration tooling.
6. Roughly three in four companies changed pricing or packaging in the past year
About three in four companies made a pricing or packaging change over the prior year. At that cadence, pricing is an ongoing product surface rather than an annual exercise, and the constraint shifts from strategy to safe execution.
7. 53% of companies monetizing AI still price it through a subscription
Among companies monetizing AI, the split is 53% subscription, 31% hybrid, 11% pure usage, and 5% pure outcome-based. Even in AI products, most revenue architectures retain a recurring commitment, so billing platforms have to support subscription and consumption logic simultaneously rather than choosing one.
8. 29% use AI credits and another 33% plan to introduce them
Currently 29% of surveyed companies use AI credits, and a further 33% plan to introduce them within 6 to 12 months. Credit systems can require balance tracking, expiry rules, grants, drawdown reporting, entitlement logic, and product-side controls, so implementation may span billing, ledger, entitlement, and product systems rather than living in a single layer.
9. Usage pricing correlates with 108% NRR versus 98% for seat pricing
Benchmarkit reports 108% NRR for companies on usage pricing versus 98% for seat pricing, a 10 point difference. One plausible mechanism is that, when contracts tie charges to consumption, usage growth can convert into revenue without a separate upgrade negotiation. The benchmark establishes the correlation, not that mechanism, and the mechanism depends on consumption being metered accurately.
10. Gartner reports providers moving beyond user-based pricing as buyers face usage forecasting risk
Gartner research published on 20 February 2026 describes SaaS providers moving beyond user-based pricing toward credit and usage-based metrics as digital and AI use cases multiply, and warns that sourcing, procurement and vendor management leaders must become expert at accurately forecasting usage or risk an unbudgeted financial surprise. The directional signal is clear even where a specific adoption percentage is not established, and it puts usage forecasting and consumption visibility on both sides of the contract.
Optimizing for customer lifetime value in SaaS
Customer lifetime value estimates the economic value of a customer relationship over its lifetime. Depending on the methodology, it may be expressed using revenue or gross profit. Understanding retention dynamics, price-point effects, and expansion contribution requires reliable revenue data and, for usage-based models, granular consumption data.
11. AI-native products above $250 per month retain at 85% NRR versus 32% below $50
In 2025, AI-native products priced above $250 per month posted 85% NRR, compared with 32% for products priced below $50 per month. Price point and customer segment travel together, so packaging decisions and retention outcomes are hard to separate.
12. Expansion contributes 40% of net-new ARR at the median
Current benchmarks report 40% of net-new ARR coming from expansion at the median. For usage-based companies, when a substantial share of new revenue originates inside the installed base, accurate consumption measurement becomes a revenue control rather than merely a reporting detail.
13. Expansion is 58% of total new ARR in the $50M to $100M band
For companies in the $50M to $100M ARR band, expansion accounted for a median of 58% of total new ARR. Companies approaching this scale increase their operational need for billing systems that support tiered commitments, overages, and mid-term amendments.
14. Expansion reaches 67% of total new ARR above $100M ARR, from a six-company cohort
Above $100M ARR, expansion accounted for roughly 67% of total new ARR, though the cohort contained only six companies. The sample size is small enough that the figure should be read as directional for the segment rather than as a stable benchmark.
From usage to revenue: the importance of accurate metering
Accurate metering forms the foundation of usage-based monetization. Without precise tracking of consumption events, companies cannot implement value-aligned pricing or maintain customer trust. Modern metering infrastructure must handle high-throughput event ingestion while maintaining the granularity needed for complex billing scenarios.
15. Median new CAC ratio is $2.00 of sales and marketing per $1 of new-customer ARR
The median new CAC ratio increased 14% in 2024 to $2.00 of sales and marketing expense per $1 of new-customer ARR, against an expansion CAC ratio of $1.00 at the median in the same dataset. Rising new-logo acquisition cost increases the relative operational value of expansion revenue. In usage-based models, capturing the consumption-driven portion of that expansion depends on consumption being measured as it occurs.
16. Blended CAC ratio is $1.30
Current benchmarks put the blended CAC ratio at $1.30, covering new and expansion ARR together. Because the blended figure includes expansion ARR alongside new-customer ARR, it should be interpreted together with the company's expansion mix rather than as a direct measure of consumption economics.
Mastering the back office: finance workflows for SaaS monetization
Finance operations determine whether billing data translates into defensible revenue. From revenue recognition to accounts receivable management, finance workflows must maintain accuracy while handling the complexity of modern pricing models.
17. Median software gross margin is 80%
Benchmarkit reports a median software gross margin of 80%. For companies adding inference-heavy features, maintaining margin visibility increases the operational need to track cost and revenue against the relevant consumption dimensions.
18. Median target AI gross margin is about 50%, and only 12% target 80% or higher
Companies in the Growth Unhinged survey report a median target AI gross margin of roughly 50%, with only 12% targeting 80% or higher. Because this target comes from a different survey and methodology than Benchmarkit's observed software gross-margin benchmark, the figures should not be treated as directly comparable measurements of the same population. Even so, the AI margin target highlights why per-feature and per-dimension margin visibility can become a finance requirement for AI products.
19. 78% of IT leaders report unexpected charges from consumption-based or AI pricing
Zylo's 2026 SaaS Management Index cites a survey of 218 IT leaders in which 78% experienced unexpected charges on SaaS bills due to consumption-based or AI pricing models, and 61% were forced to cut projects or initiatives because of unexpected SaaS cost increases. Cost predictability is therefore a buyer-side requirement on consumption models, which increases the need for transparent usage attribution and in-period spend visibility in the billing layer.
The impact of strategic pricing on recurring revenue growth
Pricing and retention are linked to growth outcomes at the company level. Recent private-market research quantifies how much of that relationship shows up in the growth rate itself.
20. Moving NRR from 90-100% to 100-110% is associated with five additional points of growth
SaaS Capital's 2026 research, drawn from a survey of more than 1,000 private B2B SaaS companies, associates a move from 90-100% NRR to 100-110% NRR with about five additional percentage points of growth, while the highest-NRR companies report median growth roughly 173% above the population median. These are observed associations across a population rather than proof that any single lever produced the result.
Additional benchmarks shaping the revenue design era
The same 2025 and 2026 benchmark sources reveal further signals about AI pricing, retention, efficiency, and how monetization models are evolving across company stages.
21. 54% say internal costs and margins are the most important factor when pricing AI
In the Growth Unhinged survey, 54% of respondents selected internal costs and margins as the most important factor when pricing AI capabilities. That puts cost visibility directly into the pricing-design process for AI products.
22. 70% say AI comes from technology or software budgets
Seventy percent of respondents said AI comes out of customers' technology or software budgets. The result suggests many AI purchases are still competing within existing software budgets rather than consistently opening net-new spending pools.
23. 29% let customers choose between multiple AI pricing models, up from 21%
The share of companies letting customers choose among multiple AI pricing models reached 29%, up from 21% in the previous year's report. Supporting multiple commercial models for the same product increases the value of pricing infrastructure that can express different metric, commitment, and invoicing combinations without duplicating billing logic.
24. 35% of respondents said investors would prefer hybrid pricing, ahead of outcome-based at 26% and usage-based at 24%
When respondents were asked which pricing model investors would prefer, 35% selected hybrid pricing, compared with 26% for outcome-based pricing, 24% for usage-based pricing, 10% for flat-fee subscriptions, and 5% for seat-based pricing. The result reflects respondents' reported view of investor preference in this survey, not a direct survey of investors or a universal investor consensus.
25. Companies below $5M ARR show 37% flat-fee adoption, while companies above $150M show 29% seat-based adoption
Growth Unhinged reports that businesses below $5M ARR had 37% flat-fee adoption, while businesses above $150M ARR had 29% per-seat adoption. The segment split shows that the broader move toward hybrid pricing coexists with materially different pricing architectures by company stage.
26. Hybrid monetization had the highest median NRR at 105% in High Alpha's benchmarks
High Alpha reports that hybrid pricing had the highest median NRR at 105% across the SaaS companies in its benchmark data. As with other cross-sectional benchmarks, that is an observed relationship rather than proof that hybrid pricing alone caused the retention result.
27. High Alpha reports 65% YoY median growth in outcome-based pricing adoption versus 43% for consumption-based pricing adoption
High Alpha reports that companies' adoption of outcome-based pricing and consumption-based pricing showed the highest year-over-year median growth rates at 65% and 43%, respectively. The result reinforces the need for monetization infrastructure that can support pricing models beyond fixed subscriptions as those models evolve.
28. 40% of companies above $50M ARR reported consumption-based and outcome-based revenue in total ARR
For companies above $50M ARR, 40% reported including consumption-based and outcome-based revenue in total ARR. High Alpha also reports 38% for companies in the $20M to $50M ARR cohort, showing that variable monetization is already present at meaningful scale in its benchmark population.
29. AI-native median GRR improved from 27% in January to 40% in September 2025
ChartMogul reports that AI-native median GRR rose from 27% to 40% between January and September 2025. The improvement is substantial, but the September level still remained well below the retention profile ChartMogul observed for B2B SaaS.
30. AI-native products at $50 to $249 per month show 45% GRR and 61% NRR
For AI-native products priced at $50 to $249 per month, ChartMogul reports 45% GRR and 61% NRR. The result sits between the retention outcomes for AI-native products below $50 per month and those above $250 per month, underscoring the relationship between price point, customer segment, and retention in the dataset.
31. B2C SaaS median NRR is 49% in ChartMogul's retention cohort
ChartMogul reports 49% median NRR for B2C SaaS among businesses in its retention analysis that had reached at least $250K ARR. That provides a useful contrast to the 82% median NRR for B2B SaaS and 48% for the report's AI-native cohort.
32. Median Rule of 40 rose from 15% to 25%, and the top quartile reached 43%
Benchmarkit's 2026 report says the median Rule of 40 rose from 15% to 25%, with the top quartile reaching 43%. The improvement places monetization decisions in the broader context of balancing growth and profitability rather than optimizing either metric in isolation.
33. Subscription plus usage models reached 43% at the 75th percentile on Rule of 40
Benchmarkit identifies subscription plus usage models at 43% at the 75th percentile on Rule of 40. This is a benchmark for that cohort and percentile, not evidence that the pricing model alone produces the performance level.
34. Median ARR per employee reached $175K, up 17% YoY
Benchmarkit reports $175K median ARR per employee, up 17% year over year. Higher revenue productivity can increase the pressure on billing, finance, and product systems to scale without adding equivalent manual operating overhead.
35. Median growth among more than 1,000 private B2B SaaS companies was 22%, down from 25%
SaaS Capital reports a 22% median growth rate across more than 1,000 private B2B SaaS companies in its 2026 research, down from a 25% population median in 2024. In a slower-growth environment, retention, expansion, and pricing execution become even more important levers for revenue design.
Leveraging accuracy and automation for agile monetization
With three in four companies reporting a pricing or packaging change within the prior year, the practical constraint is execution risk. Modern billing platforms must support rapid pricing iteration while maintaining the accuracy needed for revenue recognition and audit-ready reporting. The ability to backfill historical events and apply retroactive corrections without manual reconciliation is what separates billing infrastructure that can absorb frequent pricing change from systems that turn every change into an engineering project.
How Orb helps companies operationalize these monetization models
The statistics above point to a consistent operational requirement rather than a single causal story. Pricing models are becoming more varied, more consumption-linked, and more frequently revised, and, in usage-based models, expansion revenue can depend on consumption being measured correctly. Each of those trends increases the need for accurate metering, flexible pricing execution, and defensible finance workflows.
Orb addresses these requirements through:
- Raw data layer architecture: Orb continually stores and references raw usage events, supporting backdated price changes, event backfills, and automatic recalculation (accuracy)
- SQL-based metrics: Orb can bill metrics that can be queried, including billing-period averages, maximums, minimums, and more (metering)
- Dimensional pricing: 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 (price modeling)
- Price simulation: test pricing models against real usage data without affecting live customers, and project customer and revenue impact before deployment (simulations)
- Native financial integrations: sync invoices, credit notes, and payment records to systems such as NetSuite, with support for reconciliation across ERP, accounting, and CRM systems (finance workflows), plus ASC 606-aligned reporting and audit-ready workflows
Orb's customer case studies document these capabilities in production. Vercel decreased the time to build and launch billing for new products by 80%. Stytch reduced time spent processing bills and invoicing by 75%, and Replit uses Orb to ship product and pricing changes faster on usage-based billing.
Frequently asked questions
What are the most crucial SaaS monetization statistics to track for growth?
The most important metrics include net revenue retention (NRR), which measures recurring revenue retained from an existing customer cohort after expansion, contraction, and churn, gross revenue retention (GRR), which measures retained recurring revenue before expansion and therefore reflects churn and contraction, new-customer CAC ratio expressed as sales and marketing expense per dollar of new-customer ARR, and expansion revenue as a percentage of net-new ARR. Recent private-market research associates a move from 90-100% NRR to 100-110% NRR with roughly five additional percentage points of growth, and finds the highest-NRR cohort growing at a median about 173% above the population median. Those are population-level associations, so they indicate where to focus measurement rather than guaranteeing a result.
How does usage-based pricing impact overall SaaS monetization compared to seat-based models?
Current benchmarks report 108% NRR for usage pricing versus 98% for seat pricing, a 10 point difference. One plausible mechanism is that, when pricing contracts tie charges to consumption, usage growth can convert into revenue without requiring an upgrade conversation. The benchmark establishes the correlation rather than proving that mechanism, and the mechanism only works when consumption is metered accurately and billed transparently. Gartner's 2026 research describes the same directional shift, with SaaS providers moving beyond user-based pricing toward credit and usage metrics and buyers needing to forecast usage accurately.
What role does customer lifetime value play in a successful SaaS monetization strategy?
The relationship between customer lifetime value and acquisition cost is central to unit economics. With the median new CAC ratio at $2.00 of sales and marketing expense per $1 of new-customer ARR, against a $1.00 median expansion CAC ratio, and 40% of net-new ARR coming from expansion at the median, growth inside the installed base is a material component of unit economics. Above $100M ARR, expansion has been reported at roughly 67% of total new ARR, though that figure comes from a cohort of only six companies and should be treated as directional.
How can SaaS companies effectively manage complex subscription changes without engineering overhead?
Orb supports pricing changes with metering preview tools, including draft invoice previews, dry runs, and endpoint previews, plus price evolution tools for scheduled changes and unified invoices for mid-period changes. Orb also supports prepaid credits and hybrid pricing through price modeling, as well as price simulation using real product usage data. These capabilities let product and finance teams test and execute pricing changes with less bespoke billing code. Orb's customer documentation records an 80% reduction in Vercel's time to build and launch billing for new products.
What are the benefits of integrating billing and financial workflows for SaaS businesses?
Integrated billing and finance workflows can streamline reconciliation between systems, support ASC 606-aligned revenue-recognition reporting, and provide audit-ready history. Orb's finance workflows support reconciliation across ERP, accounting, and CRM platforms and can sync invoices, credit notes, and payment records to systems such as NetSuite. Orb's revenue-recognition workflows are designed to help accelerate month-end close with timely journal entries and event-level drilldowns. This integration matters more as companies scale, since expansion revenue running at roughly 40% of net-new ARR at the median has to be tracked accurately across increasingly complex pricing models.