Logo Churn Rate Calculator

Enter your starting customer count and the number of customers lost during a period to calculate your logo churn rate (customer-based churn) and retention rate — unaffected by contract size. Includes monthly and annual benchmark tables.

Logo churn rate benchmark table

Tier Typical logo churn rate Meaning
Excellent Under 1% monthly / under 5% annually Top-tier retention typically seen in enterprise SaaS
Good 1–3% monthly / 5–10% annually A healthy level indicating a well-functioning customer success operation
Fair 3–5% monthly / 10–15% annually An average level commonly seen in SMB-focused SaaS
Poor Over 5% monthly / over 15% annually A level that calls for a review of onboarding and customer success processes

Note: What counts as a healthy rate varies widely depending on your customer segment (enterprise vs. SMB/self-serve). Use these figures as general guidance only.

Usage tips

  • Logo churn measures "how many customers left," regardless of contract value. If you want to see the revenue impact of losing one large account, pair this with our NRR (Net Revenue Retention) calculator.
  • Simply multiplying a monthly logo churn rate by 12 to estimate the annual figure tends to overstate the real number. For an accurate annual rate, aggregate a full year of actual data instead.
  • Self-serve SaaS products (low price, high customer volume) tend to run higher logo churn than enterprise-focused products, so evaluate your numbers against benchmarks that match your business model.
  • Recording churn reasons through exit surveys lets you continuously analyze whether pricing, features, or support are driving cancellations.

Frequently asked questions

Logo churn is based on the "number of customers" who canceled, without regard to contract size. Revenue churn is based on the "amount of revenue" lost, so losing one large account pushes revenue churn up much more sharply. Tracking both lets you separately understand the "volume" of churn and its "financial impact."

As a general guideline, enterprise-focused SaaS companies often aim for under 5% annually, while SMB and self-serve products often target around 10–15% annually. That said, the right benchmark depends heavily on average contract value, contract length, and industry, so compare against competitors of similar size and segment.

Either works, but monthly figures are more sensitive to timing fluctuations in cancellations, while annual figures show a more stable trend. Investor materials and annual KPI reports typically use the annual logo churn rate.

No. Logo churn rate only measures what fraction of customers present at the start of the period left — new acquisitions aren't included in either the numerator or denominator. If you want to see overall customer count growth including new acquisitions, compare your starting and ending customer counts separately.
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Side Note — What one canceled account really tells you

Discussions of SaaS churn often lean heavily on revenue-based metrics like revenue churn and NRR. But on the ground in customer success, the sheer "number" of companies that cancel is itself an important signal. Even if the revenue lost from a batch of cancellations is small, if many customers are leaving for the same reason, it often points to a specific missing feature or a structural flaw in onboarding.

The term "logo churn" is said to originate from the sales-deck convention of displaying customer company logos on a slide or dashboard to visualize the client roster. Counting "how many logos disappeared" became a way to convey the felt sense of customer attrition to leadership in a more intuitive way than converting everything into dollar figures first.

SaaS companies focused on enterprise sales tend to keep logo churn lower. Customers with larger contracts also face higher switching costs, and they're more likely to have a dedicated customer success manager. Self-serve products, by contrast, are easy to both acquire and lose customers from, so logo churn tends to run higher — a growth model that assumes this attrition will be offset by a steady stream of new signups.