Gross Revenue Retention fell to 84% — the largest single-year decline in four years — while Net Revenue Retention held at 102%. Expansion revenue is masking churn. Benchmarks by GTM model and ARR segment, sourced from Aleph × Benchmarkit, High Alpha, and SaaS Capital.
Last updated: October 16, 2026 | Data year: CY-2025 actuals (primary report published June 2026) | Secondary summary, not original research📌 This page focuses on the relationship between GRR and NRR — specifically the NRR-GRR delta diagnostic and why expansion revenue can mask churn. For detailed churn rate benchmarks (net dollar churn, customer churn, monthly derived figures), see our SaaS Churn Rate Benchmarks page.
⚠️ Important: This page is a curated secondary summary of public third-party industry benchmark reports. It is not original primary research. All benchmark figures are derived from CY-2025 actuals (primary Aleph × Benchmarkit report published June 2026) and serve as reference for 2026 planning. GRR and NRR must always be evaluated together — NRR above 100% can mask a declining GRR if expansion revenue is propping up the number. Always cross-check linked source documents before using figures in investor-facing decks, forecasts, or formal business documentation. External report links may become unavailable over time as publishers archive old publications. These benchmarks reflect conventional B2B SaaS samples — AI-native SaaS businesses with high inference compute costs may show divergent retention patterns.
Free to cite with attribution. Link back to this page as your source. Each data point below includes the original research institution, publication year, and a direct link to the source report.
The distinction matters because GRR and NRR tell different stories about business health. GRR is the canary in the coal mine: it falls first when customers are unhappy, when pricing is too high, or when onboarding is broken. NRR is the comfort blanket: it can stay above 100% for quarters or even years while GRR deteriorates, as long as expansion revenue keeps growing. The danger is that founders look at NRR above 100% and assume retention is healthy, while the underlying base is eroding.
The 2026 data is a textbook example. Median GRR fell four percentage points (from 88% to 84%) — the largest single-year decline in four years — while NRR held steady at 102%. Expansion revenue increased just enough to cover the higher churn. In a tighter funding environment where customers scrutinize every renewal, expansion revenue typically slows first. When that happens, NRR will follow GRR downward, and the decline will be sudden.
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| Dimension | GRR (Gross Revenue Retention) | NRR (Net Revenue Retention) |
|---|---|---|
| What it measures | Revenue retained before expansion | Revenue retained including expansion |
| Includes upsells? | No | Yes |
| Includes downgrades? | Yes (reduces GRR) | Yes (reduces NRR) |
| Can exceed 100%? | No (max 100%) | Yes (common for healthy SaaS) |
| 2026 Median | 84% (N=226) | 102% |
| Best-in-class | >90% | >110% |
| Warning sign | <80% | NRR − GRR gap >20 points |
| What it predicts | Future NRR decline (leading indicator) | Current growth from existing base (lagging indicator) |
| Metric | GTM Model | Median Value | Source | Year | Note |
|---|---|---|---|---|---|
| GRR (Gross Revenue Retention) | All Private B2B SaaS | 84% | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks, N=226 | 2026 | Primary source — annual metric |
| GRR | Sales-led | 88% | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks | 2026 | Primary source |
| GRR | Hybrid (PLG + Sales) | 80% | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks | 2026 | Primary source |
| GRR | PLG / Self-serve | 79% | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks | 2026 | Primary source |
| GRR (2024 comparison) | All Private B2B SaaS | 88% | Aleph × Benchmarkit Prior-year comparison in 2026 report | 2024 | Primary source — 4pt YoY decline |
| GRR by ARR: <$1M | Mixed | 92% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source — ARR-segmented |
| GRR by ARR: $1–5M | Mixed | 92% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source |
| GRR by ARR: $5–20M | Mixed | 88% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source |
| GRR by ARR: $20–50M | Mixed | 90% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source |
| GRR by ARR: >$50M | Mixed | 88% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source |
Key insight: GRR is highest at the earliest stage (<$1M ARR: 92%) because early customers are often passionate early adopters with high engagement. It dips at $5–20M (88%) as companies onboard less-ideal customers during rapid growth, then partially recovers at $20–50M (90%) as customer success functions mature.
⚠️ Why High Alpha segments (88–92%) are all above the Aleph median (84%): These two datasets come from different company populations. The Aleph × Benchmarkit sample (N=226 for GRR) includes a higher proportion of PLG and early-stage companies, which structurally have lower GRR. The High Alpha sample (n=800+) skews toward more mature, sales-heavy companies with longer contract terms. The 4-point YoY decline in the Aleph data (88% → 84%) is measured within the Aleph panel year-over-year — it is not derived from the High Alpha segments. Do not use High Alpha segment numbers to validate or contradict the Aleph overall median. Each source should be compared against its own year-over-year trend.
| Metric | ARR Segment | Median Value | Source | Year | Note |
|---|---|---|---|---|---|
| NRR (Net Revenue Retention) | All Private B2B SaaS | 102% | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks | 2026 | Primary source — annual metric |
| NRR by ARR: <$1M | Mixed | 100% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source — ARR-segmented |
| NRR by ARR: $1–5M | Mixed | 104% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source — highest NRR segment |
| NRR by ARR: $5–20M | Mixed | 103% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source |
| NRR by ARR: $20–50M | Mixed | 103% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source |
| NRR by ARR: >$50M | Mixed | 101% | High Alpha High Alpha SaaS Benchmarks 2025, n=800+ | 2025 | Primary source — expansion saturation |
| NRR >130%: Growth Rate | All (NRR>130% subset) | 46% annual growth | SaaS Capital 2025 Growth Benchmarks, n=1,000+ | 2025 | Primary source — 83% faster than median |
| Expansion Revenue Share | Mature SaaS ($20M+) | 25–30% of revenue | High Alpha High Alpha SaaS Benchmarks 2025 | 2025 | Primary source |
| Expansion CAC vs New CAC | All Private B2B SaaS | $0.80 vs $1.63 | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks, CAC ratio | 2026 | Primary source — expansion is 51% cheaper |
Key insight: Expansion revenue is the most efficient growth lever in SaaS. It costs $0.80 to generate $1 of expansion ARR versus $1.63 for new customer ARR — expansion is 51% cheaper. Mature SaaS companies derive 25–30% of total revenue from expansion. This explains why NRR can stay above 100% even as GRR declines: companies are deliberately investing in expansion because it has better unit economics than new customer acquisition. But this strategy has a ceiling — when the existing customer base is saturated, expansion slows and NRR converges toward GRR.
The single most useful diagnostic for retention health is the NRR − GRR delta. This number tells you how many percentage points of your "retention" are actually coming from expansion revenue rather than from keeping customers. The threshold bands below are derived from industry data patterns and our analysis of the 2026 benchmark reports — they are not official thresholds from any single report.
| NRR − GRR Delta | Interpretation | Action |
|---|---|---|
| <10 points | Healthy. Retention is real, expansion is incremental. | Maintain current customer success investments. |
| 10–20 points | Moderate. Expansion is doing meaningful work but base is still healthy. | Monitor GRR trend quarterly. Invest in onboarding to reduce early churn. |
| 20–30 points | Warning. Expansion is propping up a deteriorating base. | Audit churn reasons. Fix onboarding and pricing before expansion slows. |
| >30 points | Critical. NRR is almost entirely expansion-driven. Base is leaking badly. | Immediate retention intervention. Expect NRR collapse if expansion slows. |
The 2026 industry median delta is 18 points (NRR 102% − GRR 84%), which sits at the upper edge of "moderate." This is a market-wide warning: the average SaaS company is relying on expansion revenue to cover an increasingly leaky customer base. For PLG companies, the delta is even wider because GRR is structurally lower (79%) while NRR can still reach 100%+ through seat expansion.
Two common pitfalls when calculating these metrics: (1) Logo retention ≠ GRR. Logo retention measures the percentage of customers retained (count of accounts), while GRR measures the percentage of revenue retained. A company can have 95% logo retention but 80% GRR if its largest customers downgrade. Always track both. (2) Price increases artificially inflate NRR. If you raise prices 10% across the board, NRR jumps even if zero customers expand their usage. Strip out price-driven revenue to see "organic NRR" — the real expansion from additional seats, features, or usage. A 110% NRR driven entirely by price hikes is not healthy expansion.
Real-world misapplication example: A founder reports NRR of 108% and tells investors "retention is strong." But GRR has fallen from 89% to 81% over four quarters. The NRR-GRR delta widened from 19 to 27 points. Two quarters later, expansion revenue slows (budget freezes at existing accounts), and NRR collapses to 94%. The founder is blindsided, but the GRR trend was signaling the problem for over a year. GRR is the leading indicator; NRR is the lagging indicator.
The chart below shows why the NRR-GRR delta matters. GRR (blue line) has fallen 4 percentage points since 2024 — the largest annual decline in four years. NRR (gold line) has held flat at 102% because expansion revenue increased just enough to offset the higher churn. The shaded gap between the two lines is the "expansion mask": if expansion slows, NRR will follow GRR downward.
Illustrative trend based on Aleph × Benchmarkit year-over-year comparison. 2025 data point not separately published; line interpolated.
How to read this chart: The gold NRR line looks flat and healthy at 102%. But the blue GRR line dropped sharply in 2026 (from 88% to 84%). The shaded gold area between them is expansion revenue doing the work of retention. If expansion revenue contracts — as it typically does when customers freeze budgets — the gold line will drop toward the blue line, and the decline will be sudden. GRR is the leading indicator; NRR is the lagging indicator.
Use our free calculators to measure your company's GRR, NRR, and churn against these industry benchmarks:
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Median 16 months, PLG 10 months, enterprise 18-24. Expansion CAC $0.80.
Growth + profit margin framework. Median 25%, bootstrapped vs VC-backed.
Median 1.37 (N=132). Above 1.0 = scale, below 0.5 = brake.
Data sources: All statistics on this page are compiled from publicly available industry benchmark reports:
Metric definitions: GRR (Gross Revenue Retention) = (Starting ARR − Downgrades − Cancellations) ÷ Starting ARR, measured annually. Excludes all expansion, upsells, and cross-sells. Maximum possible value is 100%. NRR (Net Revenue Retention) = (Starting ARR − Downgrades − Cancellations + Expansion + Upsells + Cross-sells) ÷ Starting ARR, measured annually. Can exceed 100%. NRR − GRR delta = the portion of NRR attributable to expansion revenue rather than base retention.
How to use these benchmarks: (1) Always match your GTM model before comparing GRR — sales-led and PLG companies have structurally different retention. (2) Track GRR as your leading indicator and NRR as your lagging indicator. (3) Calculate the NRR-GRR delta quarterly and investigate if it widens beyond 20 points. (4) Do not use these medians as performance targets — they are reference points from a VC-biased B2B SaaS sample.
Time period: All GRR and NRR figures on this page are annual (TR12 / trailing 12-month) metrics. Do not divide by 12 to get a monthly equivalent — use compound conversion: Monthly GRR = (Annual GRR)^(1/12). A company with 84% annual GRR has a monthly GRR of approximately 98.5%, not 7.0%.
Limitations: (1) Samples skew toward VC-backed B2B SaaS — bootstrapped company representation is not separately disclosed in the Aleph report. (2) AI-native SaaS with high inference compute costs may show divergent gross-margin and retention patterns. (3) The Aleph and High Alpha samples come from different company populations — do not cross-validate one source's median against the other's segments. (4) Price increases can artificially inflate NRR; organic NRR (excluding price-driven revenue) gives a clearer picture of real expansion. (5) Median numbers are reference benchmarks, not company performance targets. (6) This is a secondary compilation, not original survey research. View the full collection of 54+ SaaS benchmarks in the master hub.
The GRR and NRR benchmarks above are compiled from Aleph × Benchmarkit (342 cos), High Alpha (800+), and SaaS Capital (1,000+). The full source PDFs contain segment-level breakdowns by ARR band, GTM motion, and pricing model that we've summarized here.
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