Churn Rate Calculator

Why churn is the metric SaaS founders fear most

Churn kills subscription businesses quietly. A 5% monthly customer churn rate looks innocuous, but it compounds to 46% annual churn — you replace roughly half your customer base every year just to stay flat. If your acquisition engine slows down, churn eats the business in months. That's why mature SaaS companies measure churn weekly and optimize it relentlessly.

The formula is Churn = Customers Lost / Customers at Start of Period. The calculator converts monthly churn to annualized churn using 1 − (1 − monthly)^12. 2% monthly = 21.5% annual. 5% monthly = 46% annual. 10% monthly = 72% — two-thirds of customers gone in a year.

Customer churn vs revenue churn

Different metrics. Customer churn counts logos. Revenue churn counts dollars. You can have low customer churn but high revenue churn if leavers are disproportionately large accounts. You can have high customer churn but low revenue churn if leavers are your smallest. Best-in-class B2B SaaS tracks both and often targets net negative revenue churn — expansion revenue from existing customers exceeds churned revenue entirely.

SaaS churn benchmarks

• SMB SaaS: 3–7% monthly (36–58% annual) is common. Under 3% is great, over 7% needs urgent attention.
• Mid-market B2B SaaS: 1–2% monthly (12–22% annual) is typical.
• Enterprise B2B SaaS: under 1% monthly (under 10% annual) is the standard bar.
• Consumer subscription (streaming): 3–6% monthly. Netflix is roughly 2.5%.
• Consumer subscription (fitness, apps): 5–10% monthly.
• Consumer subscription boxes: 10–15% monthly (60%+ annual) is common.

Self-service SMB SaaS typically has the highest churn because price sensitivity is high and switching cost is low. Enterprise contracts have the lowest churn because of longer commitment periods, custom integration, and multi-stakeholder buying. Your churn target should match your pricing tier, not a universal "best-in-class" benchmark.

Why the first 90 days drive churn

Most churn happens in the first 90 days. Customers who never activate — never complete onboarding, never use the core feature, never invite a teammate — almost always cancel. Tracking "time to first value" and "activation rate" gives you early-warning signal on lifetime retention. The most impactful churn-reduction work is usually onboarding improvement, not save-desk heroics at cancellation time.

Concrete example: a B2B SaaS tracking onboarding found that customers who added a second teammate in the first 7 days churned at 2% annually. Customers who stayed solo past 7 days churned at 18%. The single highest-ROI activation activity was prompting the invite flow in onboarding step 3 — one change cut 12-month churn by 30% across the cohort.

Voluntary vs involuntary churn

Voluntary churn is the customer choosing to leave. Involuntary churn is their credit card failing or expiring. Involuntary churn typically accounts for 20–40% of total churn and is the cheapest to fix: enable card updater services (Stripe, Recurly, Chargebee all offer these), send dunning email sequences, and use automatic retry logic for failed charges. You can often cut total churn 15–25% just by tightening payment recovery — and it costs nothing more than a config change.

Common churn mistakes small businesses make

• Hiding pricing changes. Surprise increases drive immediate cancellations. Announce 60+ days in advance, grandfather existing customers, explain the rationale.
• No save offers. A 50% discount for 3 months saves ~20–30% of cancellers. Worth trying if margin permits.
• Treating all churned customers the same. Win-back emails should differ by cancellation reason — "too expensive" needs pricing, "not using it" needs onboarding.
• No exit survey. A one-question survey on cancellation reveals patterns faster than any analytics tool.
• Focusing on acquisition at the expense of retention. Retention budget is 5–10× more efficient than acquisition at comparable spend. Most SaaS under-spends on CS.
• Monthly vs annual billing. Shifting 30% of customers to annual pre-pay reduces apparent churn instantly because commitments don't renew until the anniversary — lower churn, higher cash upfront.

Churn cohort analysis

Aggregate churn hides truth. Split churn by:

• Plan tier (free-trial users vs paid-from-start typically churn differently).
• Acquisition channel (paid search vs organic often have dramatically different retention).
• Company size (SMB customers churn more than mid-market — segment and measure).
• Time since signup (month-1 cancellation behaves differently from month-12).
• Billing frequency (annual pre-pay churns 3–5× less than monthly).

A cohort view almost always exposes a specific segment dragging down the average. Fixing that cohort — or deprioritizing acquisition in it — is usually the highest-leverage churn improvement available. Do this quarterly, not annually.

Churn and cash flow

High churn is particularly painful for cash flow in businesses that pay acquisition costs upfront. A business spending $300 to acquire a customer who churns in month 3 at $50/month has lost $150 on each unit. Compounded across thousands of customers, this is how cash-poor SaaS businesses implode. Run the CLV calculator to verify LTV:CAC after churn, and our cash flow calculator to see how dollar impact flows through bank balance.

Net revenue retention — the gold standard metric

Net revenue retention (NRR) combines churn and expansion. It's (Starting MRR − Churn + Expansion) / Starting MRR. NRR above 100% means existing customers are growing more than churn is shrinking them. Best SaaS businesses run NRR at 110–130% — they grow even with zero new logos. See our NRR calculator for the full metric, or the SaaS metrics tracker for churn in context with MRR, LTV:CAC, and Rule of 40 on a single dashboard.