Best usage-based billing software for fintech companies


Comprehensive benchmark data from 2021 through 2026 revealing how NRR relates to valuation premiums, expansion revenue, and sustainable growth for usage-based businesses
Net revenue retention has become one of the most important metrics for SaaS valuation and growth efficiency. With median private B2B SaaS NRR at 101% in 2024 and companies above 120% NRR commanding a 63% valuation premium to the SEG Index median in SEG's 2Q24 snapshot, the ability to retain and expand existing customer revenue separates market leaders from the rest. For companies operating usage-based billing models, NRR represents more than a metric. It reflects how well pricing architecture captures value as customers grow. Orb provides a unified foundation for metering raw usage events, applying flexible pricing, generating invoices, managing spend visibility, and evolving pricing over time.
Net revenue retention measures how much recurring revenue you retain from existing customers over a defined period, accounting for expansion, contraction, and churn. Unlike metrics focused only on acquisition, NRR reveals the health of existing customer revenue and the sustainability of the installed base.
Private SaaS companies achieved a median NRR of 101% in 2024, down from approximately 105% in 2021. The benchmark establishes the decline, but it does not by itself establish a single cause for that change.
Optifai cites a 106% median NRR for venture-backed SaaS, attributing the figure to ChartMogul's 2024 benchmark with N=2,100.
In SEG's 2Q24 snapshot, among Index companies that reported NRR, 72% had NRR above 100%. This threshold represents net-positive revenue growth from existing customers before adding revenue from new logos.
Among public software companies in the SEG Index, 67% report their NRR figures, making it the most commonly shared retention metric in that dataset.
Across a study of 939 B2B SaaS companies, Optifai's detailed table reports top-quartile NRR above 130% for enterprise, above 120% for mid-market, and above 105% for SMB companies.
NRR is widely used to assess existing-customer revenue health, retention, and expansion. Higher NRR reflects stronger retained and expanded revenue within the measured customer cohort, while lower NRR reflects greater pressure from churn, contraction, or limited expansion.
In SEG's 2Q24 snapshot, public software companies with NRR exceeding 120% traded at a 63% premium to the SEG Index median of 5.7x. In that dataset, higher NRR was strongly associated with higher valuation multiples.
Companies above 120% NRR traded at roughly 9.3x EV/TTM revenue versus 3.1x for those below 100% in SEG's 2Q24 dataset. The higher-NRR cohort's 9.3x median multiple was 3 times the 3.1x median for the below-100% cohort in that snapshot.
In SEG's 2Q24 snapshot, 56% of companies with over 120% net retention traded in the upper quartile of the SEG Index, showing a strong association between retention strength and valuation performance in that dataset.
In SEG's 2Q24 snapshot, among companies with more than 120% NRR, more than 80% traded above the broader SEG Index median. Higher retention was strongly associated with higher valuation positioning in that dataset.
In H1 2024, the median SaaS company with NRR of at least 100% grew at 48% year-over-year, more than twice the rate of companies with NRR below 100%. This is an observed association in ChartMogul's H1 2024 dataset rather than proof that NRR alone caused the growth difference.
SaaS Capital reports that moving from the 90-100% NRR band into the 100-110% band is associated with about 5 percentage points higher growth. The research shows an association between higher NRR and faster growth rather than establishing NRR as the sole cause.
Companies achieving both high NRR and low CAC payback reported 71% median growth and a Rule of 40 score of 47.
Understanding the difference between NRR and GRR helps companies diagnose whether revenue pressure comes primarily from churn and contraction or from insufficient expansion.
NRR = (Starting MRR + Expansion MRR - Contraction MRR - Churned MRR) / Starting MRR × 100
NRR captures the full picture of existing-customer revenue dynamics, including upsells, cross-sells, downgrades, and cancellations.
GRR = (Starting MRR - Contraction MRR - Churned MRR) / Starting MRR × 100
GRR excludes expansion revenue, isolating your ability to retain existing contracted revenue. GRR cannot exceed 100%.
Private B2B SaaS companies reported median GRR of about 88% in 2024, down from 90% in 2022. Benchmarkit notes that participant selection bias could contribute to the decline, so the result should be interpreted as a benchmark from its sample rather than definitive proof of industry-wide deterioration.
KeyBanc Capital Markets' private SaaS survey reported gross retention declining to around 86% in 2023.
In Optifai's 2026 study, the reported 21-point spread between enterprise and SMB median NRR highlights materially different retention patterns across customer segments. These figures are most useful as directional benchmarks tied to the underlying sample and ACV definitions.
Companies selling to enterprise customers with ACV over $100K achieve a median NRR of 118% in Optifai's 2026 study. Optifai lists seat expansion and module upsells as key drivers in the enterprise segment.
SaaS companies targeting mid-market customers with $25K-$100K ACV maintain approximately 108% median NRR in Optifai's 2026 study, sitting between the enterprise and SMB figures in that dataset.
Companies serving SMB customers with ACV under $25K report 97% median NRR in Optifai's 2026 study, below the 100% threshold that signals net expansion from the existing customer base.
For companies with ACV between $25,000 and $50,000, median NRR is 102% with the top quartile reaching 111%.
Digital Applied reports, citing High Alpha, that companies scaling from $1M to $20M ARR lifted NRR by about 12 percentage points along the way. This exact 12-point figure is supported here by a secondary source rather than a directly cited High Alpha primary source, so it is best read as secondary-source evidence.
Expansion ARR has become an increasingly important growth engine for mature SaaS companies, shifting more of the growth mix toward development of the existing customer base.
Between 2022 and 2024, expansion ARR increased from a 25% median to 40% of total new ARR. The benchmark shows that expansion became a materially larger component of new ARR over that period.
In Benchmarkit's 2024 data, at the $50M-$100M ARR band, expansion accounted for a median 58% of total new ARR. In that dataset, expansion represented a larger share of total new ARR at higher ARR bands.
In Benchmarkit's 2024 data, companies exceeding $100M ARR saw expansion contribute a median 67% of total new ARR. The greater-than-$100M cohort contained only six companies, so the figure is most useful as a sample-specific benchmark.
In ChartMogul's H1 2024 analysis, companies with at least 100% NRR depend on expansion for growth, with expansion accounting for over half of their revenue in the report's MRR movement analysis.
SaaS Capital reports 24% median growth for its survey sample of companies with more than $1M ARR, while Benchmarkit reports 26% in its 2025 benchmark dataset. These figures describe their respective samples rather than every private SaaS company.
Companies achieving the highest NRR levels reported median growth 83% higher than the population median in SaaS Capital's 2025 research.
The leaders in SEG's 2Q24 net retention snapshot illustrate the association between high NRR, account expansion, and valuation performance in that dataset.
Snowflake reported 135% NRR in SEG's 2Q24 dataset with an EV/TTM revenue multiple of 15.6x.
Bill.com reported 131% NRR in SEG's 2Q24 dataset.
GitLab achieved 129% NRR with a 12.0x EV/TTM revenue multiple in SEG's 2Q24 dataset.
Braze maintained 128% NRR in SEG's 2Q24 dataset.
Both Confluent and Adobe reported 125% NRR in SEG's 2Q24 dataset. SEG also discusses Adobe's cross-sell opportunities across its suite of creative and marketing tools.
Different software categories showed distinct NRR patterns in SEG's 2Q24 dataset.
The DevOps and IT management category achieved the highest average NRR at 119% in SEG's 2Q24 snapshot.
Security software companies maintained an average NRR of 113% in SEG's 2Q24 snapshot.
The financial applications category posted an average NRR of 110% in SEG's 2Q24 snapshot.
Analytics and data management companies maintained 108% average NRR in SEG's 2Q24 snapshot.
Sales and marketing software companies reported 107% average NRR in SEG's 2Q24 snapshot.
Usage-based and hybrid pricing can align revenue more closely with customer consumption and, when the usage metric tracks value, with customer value creation. Benchmark outcomes still vary materially across datasets and methodologies, which makes the underlying pricing architecture and operational execution especially important.
m3ter reports consumption-based models at 115-130% NRR versus 95-105% for flat-rate subscriptions. This is a vendor-reported cohort comparison rather than a universal industry result. A separate High Alpha 2025 benchmark dataset reported 105% NRR for hybrid pricing, 102% for subscription pricing, 100% for outcome-based pricing, and 99% for consumption pricing, underscoring that the relationship is sample-dependent.
The available evidence is cross-sectional rather than a verified before-and-after transition study. m3ter reports consumption-based models at 115-130% NRR versus 95-105% for flat subscriptions. The comparison describes pricing-model cohorts and does not establish a specific causal uplift from switching models within a defined timeframe.
In its benchmark analysis, m3ter reports consumption-based pricing at 115-130% NRR. The range is best understood as m3ter's reported benchmark rather than a universal result across all usage-based companies.
For companies implementing usage-based models, Orb's billing engine handles the path from raw usage events through invoicing. Orb's price modeling supports flexible pricing structures. 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.
AI-native companies show retention dynamics that differ materially from traditional SaaS benchmarks. ChartMogul's 2025 analysis covered about 200 AI-native companies, included both B2B and B2C businesses, and required at least $250K ARR for the annualized retention analysis.
AI-native companies had 48% median NRR and about 40% median GRR in ChartMogul's 2025 dataset, compared with 82% median NRR for B2B SaaS in the same dataset.
AI-native products selling for more than $250 per month had about 85% NRR in ChartMogul's dataset. ChartMogul describes this as essentially the same NRR level as B2B SaaS in its comparison.
AI-native products selling for $50-$249 per month had 61% NRR, showing materially different retention by pricing tier in ChartMogul's dataset.
AI-native products selling for less than $50 per month had 32% NRR, the lowest NRR tier in ChartMogul's dataset.
Reducing churn strengthens the foundation for NRR because heavier churn raises the amount of expansion required to maintain or grow existing-customer revenue.
In ChartMogul's H1 2024 analysis, companies with NRR below 60% experience a median 7% churn rate, double the rate of those with NRR at or above 100%.
In ChartMogul's H1 2024 analysis, among companies with a 12,000+ subscriber base, only 6% reach 100% NRR or higher. In that dataset, reaching 100% NRR was less common among companies with larger subscriber counts.
Even top-quartile companies with $15M-$30M+ ARR did not reach the 100% NRR milestone in 2024. ChartMogul places the result in the context of slower new business and changing growth dynamics rather than a single causal explanation.
Effective dunning management automates payment retries and dunning workflows to help recover failed payments, addressing involuntary churn that can otherwise erode the recurring revenue base. Orb's finance and billing capabilities keep these workflows connected to the same billing system used for usage metering and invoicing.
In Benchmarkit's 2025 dataset, the median Expansion CAC Ratio was $1.00 versus a $2.00 median New CAC Ratio, so the measured Expansion CAC Ratio was half the New CAC Ratio in that sample.
The median cost to acquire $1.00 of New Customer ARR increased by 14% in 2024 to $2.00 of Sales and Marketing expense. In the same dataset, the median Expansion CAC Ratio was $1.00, half the $2.00 median New CAC Ratio.
The blended CAC ratio, which combines new and expansion ARR, decreased by $0.19 in 2024. Benchmarkit's page reports different percentage changes in separate sections, so the absolute $0.19 decrease is the clearest publishable figure from the page.
For companies operating usage-based or hybrid pricing models, Orb provides an integrated billing and revenue design foundation across usage metering, pricing, invoicing, spend visibility, corrections, and pricing evolution. This architecture gives product, engineering, and finance teams a shared system for operating the billing workflows that support retention and expansion.
Orb's standard metering architecture retains granular raw usage events, giving teams an auditable data foundation for usage-based billing. For very high-volume workloads, Orb also offers Hosted Rollups, which roll raw data into time-based aggregates. Partial rollups can be emitted more frequently to support real-time usage alerting before the full aggregation window closes. Orb's standard architecture supports backfills and recalculation of affected billing, while its cloud infrastructure guidance documents historical invoice recalculation. Orb also supports structured invoice-correction workflows for issued invoices. Orb says this event-level traceability supports finance reconciliation and compliance requirements. Customer-facing transparency is addressed separately through spend controls and billing visibility.
Defining billing metrics with SQL allows sophisticated usage aggregation while keeping pricing logic configurable in the billing platform. Orb's cloud infrastructure billing guide documents Custom SQL metrics for billable usage, including averages, maximums, and minimums. Orb's price modeling supports flexible pricing structures for modern software products. 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.
Orb's spend controls provide real-time visibility, threshold alerts, and automated workflows around customer spend and credit consumption. This transparency helps customers understand current spend and gives teams stronger primitives for managing usage-based customer experiences.
Vercel decreased the time it takes to build and launch billing for new products by 80%, while Stytch reported a 75% reduction in time spent processing bills and invoicing. These documented customer outcomes show how Orb can reduce billing operations work and return capacity to product, engineering, and finance teams for pricing and growth initiatives.
Based on the cited benchmark data and source playbooks, several levers are associated with retention and expansion outcomes.
Pricing model optimization
Customer success investment
Revenue operations efficiency
Orb's price evolution capabilities help teams plan and execute pricing changes, while Orb's usage-based billing engine documents simulations against real historical usage data. Together, these capabilities give teams a strong system for evaluating pricing impact, rolling out changes, and operating the resulting billing model on the same data foundation.
Good NRR depends on customer segment, business model, stage, and benchmark dataset. In Optifai's 2026 study, enterprise SaaS companies with ACV over $100K show 118% median NRR, mid-market companies with $25K-$100K ACV show 108%, and SMB-focused companies show 97%. These are descriptive benchmarks tied to the source dataset. SaaS Capital reports 102% median NRR and 111% top-quartile NRR for companies in the $25K-$50K ACV band. Separately, m3ter reports 115-130% NRR for consumption-based models, which is best treated as m3ter's vendor-reported benchmark rather than a universal usage-based result.
Usage-based billing can align revenue more closely with customer consumption and can translate customer growth into expansion revenue when the usage metric tracks value. m3ter reports 115-130% NRR for consumption-based models versus 95-105% for flat subscriptions, while High Alpha's 2025 benchmark data reported 105% for hybrid pricing, 102% for subscription pricing, and 99% for consumption pricing. The available evidence is based on cohort comparisons, so the relationship varies by sample and methodology. When customers increase consumption, usage-based pricing can convert that growth into revenue without requiring every expansion to depend on an explicit seat or package upsell. Orb's billing engine is purpose-built to meter raw usage events, apply flexible prices, and carry those calculations through invoicing at scale.
GRR measures revenue retained excluding expansion, while NRR includes expansion from upsells, cross-sells, price changes, and increased usage. GRR isolates the revenue retained after churn and contraction and has a maximum of 100%. NRR can exceed 100% when expansion revenue outpaces losses. Tracking both separates retention leakage from expansion performance.
Median private B2B SaaS NRR fell from approximately 105% in 2021 to 101% in 2024. The cited benchmarking establishes the decline but does not establish a single cause. ChartMogul places 2024 retention results in the context of slowing new business and changing growth dynamics. ChartMogul also found that top-quartile companies with $15M-$30M+ ARR did not reach 100% NRR in 2024. At the same time, expansion became more important, reaching 40% of total new ARR in 2024 versus a 25% median in 2022.
Orb supports the operational levers behind retention and expansion with accurate usage-based billing, customer visibility through spend controls, flexible price modeling, and pricing simulations on real data. Its standard metering architecture retains granular raw usage events for traceability and recalculation, while SQL-based metrics support sophisticated usage aggregation. Orb's dimensional price groups support pricing across multiple usage dimensions using a single pricing configuration for dimension combinations. Together, these capabilities give product, engineering, and finance teams a unified foundation for accurate billing, transparent customer experiences, pricing agility, and expansion-oriented monetization.



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