Gross Churn

What is gross churn?

Gross churn (also called gross revenue churn or gross dollar churn) is the percentage of recurring revenue lost from existing customers in a defined period — calculated as (churned MRR + contraction MRR) divided by starting MRR. It excludes expansion revenue from the calculation, isolating only the loss side of the retention equation.

Gross churn contrasts with net churn, which subtracts expansion before reporting the number. A company with 3% gross churn and 5% expansion has −2% net churn (i.e., growing) — but the gross churn of 3% is still happening, and product or customer-success problems will surface in gross churn long before they surface in net.

For SaaS investors and operators, gross churn is the truer measure of product retention. Net churn can be flattered by aggressive upsell motion that masks underlying retention problems; gross churn cannot. A company with 4% gross churn and 8% expansion looks healthy on net but has a meaningful churn problem worth investigating.

Why gross churn matters for operators

Gross churn is the metric that separates customer-experience problems from monetisation problems. Rising gross churn signals that customers are actively leaving — typically because of product gaps, support quality, or competitive pressure. Rising expansion offsets the visible damage but doesn't fix the underlying issue.

Gross churn also has direct financial implications. CAC payback math depends on gross retention — a customer who churns in month 8 of a 14-month payback period destroyed the unit economics of that acquisition. Gross churn rate × average customer revenue determines how much CAC is being paid back vs. lost to churn.

The deeper signal in gross churn is who is leaving. Gross churn concentrated in the smallest customers usually indicates a self-serve onboarding or activation problem. Gross churn concentrated in the largest customers usually indicates competitive displacement or a customer-success problem. Gross churn evenly distributed indicates a structural product problem. Each diagnosis has a different remedy.

Gross churn formula

Gross Revenue Churn (%) =
  (Churned MRR + Contraction MRR) / Starting MRR × 100

Gross Logo Churn (%) =
  Lost Customers / Starting Customer Count × 100

Example — mid-market SaaS, monthly:
  Starting MRR (Feb 1):                        $880,000
  MRR lost from cancelled customers:            $7,200
  MRR lost from downgrades:                     $2,800
  Total lost MRR:                              $10,000
  Gross revenue churn:                          1.14%
  Annualised gross churn:                      ~13.7%

Comparison with net churn (same month):
  Expansion MRR (upgrades, seat additions):    $14,200
  Net churn = (10,000 − 14,200) / 880,000     = −0.48%
  (i.e., NRR ~100.5% — net positive)

The 1.14% gross churn is a real product-retention signal that
the −0.48% net churn obscures. The expansion is masking the gross
loss; both numbers matter.

Gross churn benchmarks by stage and segment

Sources: ChartMogul SaaS Benchmarks 2025; OpenView SaaS Benchmarks 2025; ProfitWell Recur Research; Pavilion Customer Success Survey 2024; Fairview customer data.

Common mistakes when measuring gross churn

1. Reporting only net churn. A company reporting 95% gross retention and 110% net retention has a healthy growing book — but the 5% gross churn is real, costs CAC payback, and deserves its own diagnosis. Reporting only NRR hides the customer-experience signal that gross churn carries.

2. Including 'cancelled-and-rejoined' customers ambiguously. Customers who cancel and then sign up again within 30–60 days distort gross churn calculations. Define the rule explicitly (most teams treat 90+ day gaps as new acquisitions, shorter gaps as no churn) and apply consistently.

3. Using customer-count churn as the headline. Logo churn (customer-count) and revenue churn often diverge meaningfully, especially at companies with wide ACV ranges. A team losing 5% of customers but only 1% of revenue is mostly losing small accounts — usually a self-serve activation problem, not an enterprise problem. Track both.

4. Computing annualised churn as monthly × 12. Annualised churn requires (1 − (1 − monthly)^12) compounding, not simple multiplication. A 2% monthly gross churn rate annualises to 21.5%, not 24%. The error grows at higher churn rates and produces overstated annual figures.

5. Not segmenting churn by cohort. Aggregate gross churn smooths over the most actionable signal. New cohorts (1–6 months tenured) usually churn at 2–3× the rate of mature cohorts (12+ months); aggregating them hides whether activation is failing or whether mature retention is degrading. Always report by tenure cohort.

How Fairview tracks gross churn automatically

Fairview's Operating Dashboard joins billing data (Stripe, QuickBooks, NetSuite) with CRM segmentation to compute gross revenue churn and gross logo churn separately — segmented by tenure cohort, ARR band, and ICP segment.

The Next-Best Action Engine flags concentration shifts: "Gross monthly revenue churn rose from 0.8% to 1.3% over 90 days. Concentration: 78% of churned MRR came from accounts in the 6–18 month tenure band, predominantly in the SMB segment. Recommend an early-renewal health-check program for that cohort before the next 90-day window."

→ See how Fairview tracks gross churn

Gross churn vs net churn vs logo churn

Net churn is the operating headline; gross churn is the underlying retention signal; logo churn is the customer-count cut. All three matter — none alone tells the full story.

Frequently asked questions

Sources

1. ChartMogul SaaS Benchmarks 2025
2. OpenView SaaS Benchmarks 2025
3. ProfitWell Recur Research
4. Pavilion Customer Success Survey 2024
5. Fairview customer data (B2B SaaS, 2025)