Churn is the leaky bucket problem of subscription business. You can pour acquisition spend in the top, but if the bucket leaks faster than you fill it, you go nowhere. Every subscription operator eventually realizes that reducing churn by 1 point delivers more revenue than increasing acquisition by 10 points — because retention multiplies across every customer you have ever signed.
Two flavors of churn
- Customer churn measures how many subscribers leave — pure count, regardless of what they were paying.
- Revenue churn (or MRR churn) measures how much recurring revenue is lost — weights losses by plan size, which matters when you have tiered pricing.
For replenishment subscriptions where every customer pays roughly the same, the two move together. For tiered SaaS or build-a-box products, revenue churn is the more honest metric.
Voluntary vs. involuntary
The other essential split is by cause:
- Voluntary churn — the customer actively cancels. Driven by fit, price, life change, or a better competitor.
- Involuntary churn — the payment fails and the subscription auto-ends. Driven by expired cards, hit limits, fraud blocks.
Involuntary churn is 20–40% of total churn for most Shopify subscription stores. It is also the easiest to recover, because the customer wanted to keep paying. Smart dunning recovers 30–50% of these.
Reducing churn by 1 point is usually worth more than increasing acquisition by 10 — because retention multiplies across every customer you have ever signed.
How to think about churn improvement
Most operators chase a single "churn rate" number when they should be looking at the cohort retention curve. Are you losing customers in month 1 (onboarding problem)? Month 3 (product fit problem)? Month 12 (loyalty problem)? Each requires a different fix. Set up cohort analysis early — it is the diagnostic tool that turns a vague churn number into specific, fixable problems.