Churn Rate
Churn rate is the percentage of customers or revenue a business loses over a specific period, typically measured monthly or annually.
What Churn Rate Measures
Churn rate tells you how much of your customer base or revenue disappears in a given window, usually a month for early-stage SaaS companies. It's the mirror image of retention: if 5% of customers churn, 95% stick around.
There are two main flavors:
- Customer churn rate: percentage of customers lost
- Revenue churn rate: percentage of revenue lost (can be gross or net)
Both matter, but revenue churn tells a richer story, especially if you have customers on different pricing tiers.
Why Churn Rate Matters for Founders
Churn is often the single most important number for an early-stage subscription business. Here's why:
- It caps your growth speed. If you're adding 20 customers a month but losing 15, your net growth is anemic no matter how good your top-of-funnel marketing is.
- It's a leading indicator of product-market fit. High churn almost always means the product isn't delivering enough value to enough people, no amount of onboarding polish fixes that.
- It determines your real CAC payback. A customer who churns in month 3 never lets you recoup a 6-month CAC payback period.
- Investors scrutinize it. During fundraising, churn rate (alongside retention curves) is one of the first things a serious SaaS investor will ask to see.
For founders using welaunch.sh or similar tools to plan a product launch, thinking about churn early, even before you have paying customers, shapes onboarding, pricing, and support decisions that reduce churn later.
How to Calculate Churn Rate
Customer Churn Rate Formula
Customer Churn Rate = (Customers Lost During Period / Customers at Start of Period) x 100
Example: You start the month with 200 customers. 10 cancel during the month.
Churn Rate = (10 / 200) x 100 = 5%
Revenue Churn Rate Formula
Gross Revenue Churn = (MRR Lost from Cancellations + Downgrades) / MRR at Start of Period x 100
Example: You start the month with $50,000 MRR. You lose $2,000 from cancellations and $500 from downgrades.
Revenue Churn = ($2,000 + $500) / $50,000 x 100 = 5%
Net revenue churn subtracts expansion revenue (upsells, upgrades) from the losses, and can even go negative, meaning your existing customers are generating more revenue over time despite some churn. Negative net revenue churn is the holy grail for SaaS companies.
Benchmarks: What's a "Good" Churn Rate?
Benchmarks vary heavily by customer segment:
| Segment | Monthly Churn Benchmark |
|---|---|
| Enterprise SaaS | 0.5% to 1% |
| Mid-market SaaS | 1% to 2% |
| SMB / self-serve SaaS | 3% to 7% |
| Consumer subscription apps | 5% to 10%+ |
A common rule of thumb: monthly churn above 5% for a B2B product is a red flag worth investigating immediately. For consumer products, higher churn is more tolerable if acquisition costs are low and volume is high.
Annualized churn is not simply monthly churn times 12, because of compounding. A rough approximation:
Annual Churn ≈ 1 - (1 - Monthly Churn)^12
So a 5% monthly churn rate compounds to roughly 46% annual churn, not 60%.
Common Mistakes When Tracking Churn
- Ignoring cohort analysis. A blended churn number hides the fact that new customers often churn much faster than customers who've stuck around 6+ months. Segment churn by signup cohort to see the real pattern.
- Only tracking customer churn, not revenue churn. Losing your smallest customer and your biggest customer both count as "1 churned customer" but have wildly different revenue impact.
- Confusing churn with cancellation requests. Some customers pause, downgrade, or go delinquent on payment before formally canceling. Involuntary churn (failed payments) is often 20-40% of total churn and is fixable with better dunning/retry logic.
- Measuring churn too early. With under 50 customers, churn percentages are noisy and can swing wildly month to month. Look for trends over several months, not single data points.
- Optimizing churn in isolation. Reducing churn by discounting aggressively can hurt LTV even while the churn number improves. Always look at churn alongside expansion revenue and CAC payback.
Reducing Churn: Where to Start
- Interview churned customers directly, exit surveys rarely surface the real reason
- Fix onboarding first, most early churn happens because users never reach an "aha moment"
- Set up automatic payment retry and dunning emails to cut involuntary churn
- Build a simple health score based on product usage to flag at-risk accounts before they cancel
- Segment churn by acquisition channel, some channels bring in lower-intent users who churn faster regardless of product quality