Churn Rate Is a Liar. Here's What to Track Instead.

The Three Churn Rates (Yes, Three) Logo churn: The percentage of customers who cancel in a given period. If you start January with 100 customers and 3 cancel, your logo churn is 3%. Simple. Intuitive. And dangerously incomplete. Revenue churn: The percentage of revenue lost from cancellations and downgrades, minus expansion revenue from upgrades. If you start January with $100,000 MRR and lose $3,000 in cancellations, gain $2,000 in upgrades, your net revenue churn is 1%. If you lose $6,000 and gain $1,000, your net revenue churn is 5%. Same customer count, wildly different financial outcomes. Gross revenue churn vs net revenue churn: Gross churn ignores expansion revenue. Net churn includes it. If you report net revenue churn and it's negative (expansion revenue exceeds lost revenue), you have "negative churn" — your existing customers are spending more than you're losing from cancellations. This is the holy grail of SaaS. Most companies don't have it. Company A: The Hidden Bleed This is the founder I mentioned. B2B project management tool. Let me show you his actual numbers for a single quarter. Starting customers: 420 New customers acquired: 35 Customers lost: 9 Logo churn: 9 ÷ 420 = 2.1% (quarterly) Looks great. Now the revenue: Starting MRR: $168,000 New customer MRR: $4,200 Lost customer MRR: $11,400 Expansion MRR (upgrades): $1,800 Contraction MRR (downgrades): $2,100 Net revenue change: $4,200 + $1,800 - $11,400 - $2,100 = -$7,500 Net revenue churn: $7,500 ÷ $168,000 = 4.5% (quarterly), or about 1.5% monthly. Wait, that's not 6.8%. The 6.8% came from looking at the full six-month window, not the quarterly snapshot. Monthly numbers fluctuated. But the point stands: 2.1% logo churn was hiding 4.5% quarterly revenue churn. Over six months, that compounds badly. Why the gap? He lost three enterprise customers ($2,800/month each) and six individual users ($45/month each). Nine customers lost. But the revenue impact was $11,400, heavily weighted toward the enterprise tier. Logo churn treats every customer equally. Revenue churn reveals who's actually leaving. I ran his numbers through our churn rate calculator and our LTV calculator. With 2.1% monthly logo churn, customer lifetime was 47 months and LTV was $340. With the actual revenue churn, effective LTV was $198. His CAC (customer acquisition cost) was $225. He was paying $225 to acquire customers worth $198. Every new customer was a net loss. Our CAC calculator confirmed the problem was getting worse. Company B: The Success Story Another client. Same industry, similar product. Monthly logo churn: 4.8%. Sounds terrible compared to Company A's 2.1%. Revenue story: Starting MRR: $95,000 New customer MRR: $8,500 Lost customer MRR: $4,200 Expansion MRR: $6,800 Contraction MRR: $900 Net revenue change: $8,500 + $6,800 - $4,200 - $900 = +$10,200 Net revenue churn: -$10,200 ÷ $95,000 = -10.7% (negative churn!) They're losing 4.8% of customers monthly but growing revenue by 10.7% because existing customers upgrade like crazy. Logo churn of 4.8% looks bad. Revenue growth of 10.7% monthly looks incredible. The second number is what pays the bills. Company C: The Silent Killer Third example. Consumer subscription app. Monthly logo churn: 1.9%. Revenue churn: 3.2%. How? They offered a heavy discount for annual plans. Most customers were on annual at $60/year ($5/month equivalent) while their monthly subscribers paid $12/month. When an annual customer didn't renew, it counted as churn but the revenue loss was small. When a monthly subscriber cancelled, the revenue loss was proportionally larger. Their logo churn looked amazing because annual customers "forgot" to cancel (autorenewal) and just drifted. But their revenue churn was higher because monthly customers, who paid 2.4x more per month, were leaving at a 5.5% rate. The cohort analysis told the real story. Monthly subscribers retained 45% at month six and 22% at month twelve. Annual subscribers retained 68% at month twelve (when they had to actively decide to renew). The "low churn" was a pricing artifact, not genuine retention.

Track both logo churn and revenue churn every month. Put them side by side in your dashboard. If they diverge by more than one percentage point, something important is happening. Our churn rate calculator handles both calculations. Use it. Run a cohort analysis. Group customers by the month they signed up and track each cohort's revenue over time. This reveals whether your newer customers are retaining better or worse than older ones. If your cohort curves are flattening (revenue stops declining after a few months), your product has genuine stickiness. If they keep declining, you have a retention problem regardless of what aggregate churn says. Segment churn by customer tier. Enterprise, mid-market, small business, individual — each has different churn dynamics and different revenue impact. A 5% churn in enterprise tier is a financial emergency. A 5% churn in individual tier is probably fine if your acquisition volume is high enough. Our LTV calculator can show you the lifetime value for each segment so you know which customers are actually worth retaining. Track gross revenue churn separately from net revenue churn. If expansion revenue is masking high gross churn, you have a leaky bucket that growth is temporarily hiding. When growth slows (and it always does), the leak becomes visible. Our LTV calculator and CAC calculator together show whether your unit economics work at different churn levels.

Reporting net churn when you should report gross churn. Net revenue churn can be negative (great!) but if you're using that number to assess retention health, you're fooling yourself. Low net churn driven by expansion revenue means your existing customers love your product. Low net churn driven by hiding gross churn behind expansion is a ticking time bomb. Report both numbers. Ignoring cohort curves in favor of aggregate churn. Aggregate churn is an average. It mixes healthy cohorts with unhealthy ones. If your January cohort retains 80% at month six and your June cohort retains 40%, your aggregate churn looks mediocre but the reality is that something broke in your onboarding between January and June. Cohort analysis catches this. Aggregate churn hides it. Comparing your churn to industry benchmarks without controlling for customer mix. B2B enterprise SaaS has different churn dynamics than B2C mobile apps. A 2% monthly churn is terrible for enterprise (you should aim for under 0.5%) and excellent for consumer (average is 5-7%). Don't benchmark against companies with different customer profiles. I've seen companies with 2% monthly churn that were healthier than ones with 1%. The metric alone doesn't tell the whole story. It's a starting point, not a conclusion. Run the cohort analysis. Check the revenue churn. Calculate LTV by segment. Then you'll know whether your churn rate is actually telling you the truth.