Churn benchmarks across net dollar churn, GRR, customer churn — segmented by ARR stage and business model. Monthly figures compound-derived from annual cohort data. Sourced from Aleph × Benchmarkit, High Alpha, ChartMogul, SaaS Capital.
Last updated: October 15, 2026 | Data year: CY-2025 actuals (primary report published June 2026) | Secondary summary, not original research⚠️ Important: This page is a curated secondary summary of public third-party industry 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. Monthly churn figures are mathematically derived by compound-rate conversion from original-report annual-cohort retention numbers — primary sources publish annual-only metrics. 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 churn 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.
Churn is the most widely cited SaaS metric because it directly impacts revenue predictability and company valuation. There are three distinct churn measures that are often confused: net dollar churn (revenue lost minus expansion revenue), gross dollar churn (revenue lost before expansion), and logo churn (percentage of customers lost regardless of contract value). The table below separates these measures by ARR segment and business model.
Note: Rows marked "Derived" are mathematically converted from annual cohort retention using compound formula. Original reports publish annual-only metrics. Rows marked "Estimate" could not be independently verified against a primary source — use with caution.
| Metric | ARR Segment | Business Model | Median Value | Source | Year | Note |
|---|---|---|---|---|---|---|
| Net Dollar Churn | <$1M ARR | Mixed | 1.8% monthly | High Alpha High Alpha SaaS Benchmarks 2025 | 2025 | Derived from annual NRR via compound conversion |
| Customer Churn | <$1M ARR | Self-serve PLG | 3.0–6.5% monthly | ChartMogul ChartMogul SaaS Research | 2025 | Derived from annual cohorts |
| Net Dollar Churn | $1M–$10M ARR | Mixed | 1.2% monthly | High Alpha High Alpha SaaS Benchmarks 2025 | 2025 | Derived from annual NRR; exact monthly figure not in original report |
| Customer Churn | $1M–$10M ARR | Sales-led B2B | 1.7% monthly | KeyBanc (press release only) Full report not publicly available | 2025 | Estimate — not independently verifiable from public source |
| Net Dollar Churn | $10M–$50M ARR | Mixed | 0.9% monthly | ChartMogul ChartMogul SaaS Research | 2025 | Derived from annual NRR via compound conversion |
| Customer Churn | $10M–$50M ARR | Mixed | 1.1% monthly | High Alpha High Alpha SaaS Benchmarks 2025 | 2025 | Derived from annual cohorts |
| Net Dollar Churn | >$50M ARR | Mixed | 0.6% monthly | High Alpha High Alpha SaaS Benchmarks 2025 | 2025 | Derived from annual NRR |
| Gross Dollar Churn | <$1M ARR | Self-serve PLG | 4.1% monthly | ChartMogul ChartMogul SaaS Research | 2025 | Derived from annual GRR |
| Gross Dollar Churn | $1M–$10M ARR | Sales-led B2B | 2.3% monthly | KeyBanc (press release only) Full report not publicly available | 2025 | Estimate — not independently verifiable |
| Logo Churn | <$1M ARR | Mixed | 2.9% monthly | Industry aggregate No single primary source identified | 2025 | Estimate — no primary source found |
| Gross Revenue Retention (GRR) | All Private B2B SaaS | Mixed | 84% annual | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks, N=226 | 2026 | Primary source — annual metric, not derived |
| Net Revenue Retention (NRR) | All Private B2B SaaS | Mixed | 102% annual | Aleph × Benchmarkit 2026 SaaS & AI Benchmarks | 2026 | Primary source — annual metric, not derived |
| Expansion Revenue Offset | $10M–$50M ARR | Mixed | 62% of gross churn offset | ChartMogul ChartMogul SaaS Research | 2025 | Primary source |
| Customer Churn (PLG Aggregate) | All Early-Stage (<$10M) | Self-serve PLG | 3.0% monthly | Paddle Paddle SaaS Metrics Guide | 2025 | Derived from annual cohorts |
Key insight: The gap between gross dollar churn (4.1% for early PLG) and net dollar churn (1.8%) shows that expansion revenue from existing customers offsets a significant portion of churn. Mature SaaS companies ($10M+ ARR) see expansion revenue offset 62% of gross dollar churn — this is why net dollar churn decreases with scale even when customer churn remains relatively stable. The 2026 data adds a warning: median GRR fell 4 points to 84%, meaning the base is leaking faster even as expansion props up NRR. If expansion slows, NRR will collapse quickly.
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Data sources: All statistics on this page are compiled from publicly available industry benchmark reports:
How we converted annual retention to monthly churn: Original survey reports publish annual cohort retention metrics only. Monthly churn figures on this page are derived using the compound growth formula: Monthly Churn = 1 − (Annual Retention)^(1/12). This is not simple division by 12 — compound conversion accounts for the exponential nature of churn. For example, annual NRR of 100% corresponds to 0% monthly net churn; annual GRR of 84% corresponds to ~1.4% monthly gross churn.
Metric definitions: Net dollar churn = revenue lost minus expansion revenue from existing customers. Gross dollar churn = revenue lost before expansion (GRR = 100% − gross dollar churn). Customer/logo churn = percentage of customers who cancel, regardless of contract value. GRR = annual gross revenue retained after churn, exclusive of upsells. NRR = annual net revenue retained, inclusive of expansion.
Limitations: (1) Samples skew toward VC-backed B2B SaaS — bootstrapped company representation is not separately disclosed in most reports. (2) AI-native SaaS with high inference compute costs may show divergent gross-margin and churn patterns. (3) Median numbers are reference benchmarks, not company performance targets. (4) This is a secondary compilation, not original survey research. (5) Rows marked "Estimate" could not be independently verified against a public primary source.