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Market data reveals why blending subscription and usage-based pricing has become a fast-growing monetization approach in software
Hybrid pricing has moved rapidly toward the mainstream in recent software monetization surveys. In Growth Unhinged's 2025 survey of more than 240 software companies, adoption surged from 27% to 41% in twelve months. The increase is consistent with a broader shift toward pricing that combines predictable subscription revenue with usage-linked charges. For businesses implementing these complex pricing structures, Orb's usage-based billing engine meters usage at scale without added engineering labor and supports hybrid pricing workflows.
Hybrid pricing is becoming a more prominent SaaS monetization strategy. Market data from multiple industry studies shows increasing adoption across several recent datasets.
In Growth Unhinged's 2025 survey of more than 240 software companies, hybrid pricing adoption rose from 27% to 41% between 2024 and 2025, an increase of 14 percentage points, or about 52% relative. The result shows materially broader hybrid-pricing adoption within the survey sample.
Chargebee reports that 43% of companies combine subscriptions with usage-based pricing. The finding shows that many businesses are layering usage-based components onto predictable subscription elements rather than replacing subscriptions outright.
By 2023, 61% of SaaS companies had some form of UBP in place, up from 27% in 2018, according to data cited by m3ter from OpenView. This is a dated historical benchmark rather than a measure of 2026 adoption.
Pure per-seat models in Growth Unhinged's 2025 survey fell from 21% to 15% over twelve months. The result signals growing use of pricing structures beyond fixed seat counts within the survey sample.
Traditional flat-rate subscription models in the same Growth Unhinged survey fell from 29% to 22%, a decline of 7 percentage points. The shift is consistent with greater use of hybrid and usage-linked approaches within the surveyed companies.
IDC forecasts that 70% of software vendors will refactor pricing strategies around new value metrics such as consumption, outcomes, or organizational capability by 2028. This forecast reinforces the structural shift toward pricing models that extend beyond pure per-seat approaches.
Industry benchmarks associate usage-aligned and hybrid pricing with stronger growth and retention metrics than pure subscriptions in specific datasets and periods. The results vary by study, so historical UBP benchmarks should not be treated as universal current performance estimates for hybrid pricing.
OpenView's 2021 research found that public software companies using UBP grew 29.9% versus 21.7% for peers, or about 38% faster. This is a historical usage-based pricing benchmark, not a current hybrid-pricing performance estimate.
The same OpenView research reported 120% net dollar retention for usage-based companies versus 110% for peers. That is a 10 percentage point difference.
Maxio's 2025 Pricing Trends Report says companies using hybrid models reported the highest median growth rate at 21%, outperforming pure subscription and usage-based models. Separately, Maxio says high-growth SaaS companies exceeding 40% annual growth overwhelmingly prefer hybrid models.
As AI and automation decouple output from user count, revenue tied purely to headcount can struggle to capture expanding value. Hybrid structures provide a way to retain a predictable subscription component while tying part of the price to usage or another value metric.
AI features carry variable costs such as tokens, compute, storage, and bandwidth. Chargebee notes that treating resource-intensive AI capabilities as flat monthly features can create unsustainable unit economics as usage scales. Hybrid models can better align revenue with variable cost exposure as usage scales.
Snowflake officially reported 158% net revenue retention as of January 31, 2023. This is a dated historical benchmark rather than a current metric, and the figure should not be attributed causally to Snowflake's consumption-based business model.
Datadog reported 2025 revenue of $3.43 billion, representing 28% year-over-year growth. The financial result should be treated as a company performance metric rather than attributed causally to a particular pricing architecture.
AI adoption is putting additional pressure on traditional SaaS pricing strategies. The variable costs of AI features make pricing design more important for maintaining margins while aligning charges with customer value.
Based on real-world renewal data across Tropic customers, AI-driven price increases range from 20-37%, far exceeding the typical 3-9% annual SaaS uplift. Tropic frames this spread as an "AI Tax" and notes that vendors are also changing how they charge for AI through credit-based and outcome-based pricing.
Tropic reports that negotiation reduces initial AI-related price increase asks by roughly 55% on average, with flexible deals ending at approximately 12% final uplifts versus initial asks of 20-37%. This gap highlights the importance of transparent, value-aligned pricing.
In Tropic's MM/Enterprise customer data, average spend on AI-native tools increased 94.35% year-over-year. This spending acceleration underscores the operational importance of billing systems that can support complex AI pricing structures.
In Tropic's MM/Enterprise customer data, average spend on hybrid SaaS and AI tools increased 50.76%, while primarily SaaS tools grew 7.89%.
Zylo's 2026 SaaS Management Index reported that AI-native application spending jumped 108%, highlighting the rapid shift in software portfolios toward AI-native applications.
Despite significant AI spending, Tropic reports that fewer than one-third of companies can tie AI investments to measurable P&L impact. This measurement gap makes it more important for pricing structures to connect charges to measurable usage or outcomes.
For companies managing AI monetization, Orb's AI pricing solutions provide the infrastructure needed to implement token-based, consumption, and hybrid pricing models.
Credit systems are a fast-growing mechanism for implementing hybrid pricing, allowing companies to combine prepaid commitments with usage flexibility.
The number of companies in the PricingSaaS 500 Index offering credit-based pricing grew from 35 to 79, a 126% increase in one year.
79 of 500 companies tracked in the PricingSaaS 500 Index offered a credit model, or 15.8%. This supports credit-based pricing as a rapidly emerging mechanism for balancing predictability with usage flexibility, rather than an established market standard.
Growth Unhinged and PricingSaaS observed more than 1,800 pricing and packaging changes among 500 tracked SaaS and AI companies in 2025, averaging 3.6 per company. This frequency of adjustment makes flexible billing infrastructure more important, including infrastructure that supports rapid, configurable price changes.
Tropic's customer data illustrates how contract length, discounting, and spend concentration shifted across its software purchasing dataset in 2025.
In Tropic's 2025 customer dataset, 74.5% of contracts span 13-24 months, representing a 56% year-over-year increase in this duration band.
In Tropic's 2025 customer data, 0-12 month contracts represented 21.4% of agreements, down 27% year-over-year. The dataset shows a clear shift toward mid-range commitments.
Average contract terms for hybrid SaaS and AI tools rose from 19.3 to 21 months, an 8.7% year-over-year increase according to Tropic's accompanying analysis and the largest relative increase among the three AI categories in that analysis.
In Tropic's 2025 data, 0-12 month contracts had the highest average discount at 31.9%, while 12-24 month deals averaged 26.3%. Tropic cautions that this pattern differs from 2024 and may prove to be an anomaly rather than a durable relationship between term length and discounting.
Spend concentration remained high in Tropic's dataset, with the top 10 suppliers representing 74.2% of software spend in 2025 and tail spend representing 25.8%.
Average spend on the top 10 suppliers in Tropic's customer data grew from about $4.2 million to $5.2 million year-over-year, indicating increasing spend concentration among primary suppliers in that dataset.
The transition to hybrid pricing can create operational challenges that favor billing infrastructure designed for variable usage and complex pricing.
Zylo reports that 78% of IT leaders experienced unexpected charges tied to AI features or consumption-based pricing in the previous year. This result underscores the importance of transparent billing systems with timely usage visibility.
RSM cites a Bloomberg estimate that subscription-based pricing could decline from 60% toward 30% of software pricing models over the next decade. Billing systems that can evolve across subscription, consumption, and outcome-linked structures are better aligned with this potential transition.
The same Bloomberg estimate cited by RSM says outcome-based pricing is expected to rise from 10% to 60% over the coming decade. This is a forecast, not observed adoption, and it would require billing systems capable of measuring and charging for delivered value.
For finance teams managing complex hybrid billing, Orb's finance workflows support AR aging and advanced dunning, ASC 606-aligned revenue-recognition reporting, and cross-system reconciliation through exportable daily summaries and finance-stack integrations.
In Tropic's SMB/Growth customer data, average spend on AI-native tools increased by 23.52%, hybrid SaaS and AI tools grew 29.71%, and primarily SaaS tools declined 8.40%.
Average software spend among Tropic's SMB/Growth customers increased 50% year-over-year, while average spend among MM/Enterprise customers increased nearly 58%.
Operationalizing hybrid pricing at scale can require billing systems that handle:
Orb's contract-to-cash capabilities complement this infrastructure by automatically extracting billing terms from contracts and generating invoice schedules in minutes across complex pricing models.
Companies transitioning to hybrid pricing frequently encounter these challenges:
A hybrid pricing model combines fixed subscription components with variable usage-based elements. Typically, customers pay a base fee for platform access and core features, then additional charges scale with consumption of specific resources like API calls, compute time, storage, or AI tokens. This structure can provide more revenue predictability than pure usage pricing while allowing part of the charge to scale with consumption or another value metric.
Effective hybrid pricing requires identifying which value drivers should be fixed versus variable. Platform access and core features typically remain subscription-based, while resource-intensive or highly variable features use consumption pricing. The balance depends on cost structure, competitive positioning, and customer preference for predictability versus flexibility.
Primary challenges include billing system complexity, revenue recognition requirements, customer communication, and pricing iteration speed. Companies need infrastructure that can meter usage accurately, generate accurate invoices, provide real-time visibility to customers, and support frequent pricing changes without engineering involvement.
Hybrid models can increase revenue recognition complexity because fixed fees, variable consideration, prepaid credits, and usage charges may require different treatment depending on contract terms and performance obligations. Finance teams need systems that can track prepaid balances, usage drawdown, and the timing of recognized revenue with an auditable record.
Yes. SMBs can use hybrid models to combine a predictable base charge with variable usage components that scale as customers consume more of the product. The key requirement is billing infrastructure that can handle the added metering, invoicing, and pricing logic without creating a disproportionate engineering burden.



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