Churn rate is the percentage of customers (or revenue) you lose in a given period. Retention rate is the inverse. Tracking churn is foundational for subscription health and LTV modeling.

• Growth leak detection

  High churn forces you to replace lost logos just to stay flat.

• LTV accuracy

  Lifetime assumptions collapse without a real churn input.

• Product signal

  Spikes often point to activation, pricing, or support failures.

• Forecasting

  Revenue models need churn to project ARR paths.

• Team focus

  Gives CS and product a shared success metric.

1. 01

   Product fit

   Weak activation and unclear value drive early churn.

2. 02

   Pricing changes

   Sudden increases can spike cancellations.

3. 03

   Support quality

   Slow response and unresolved tickets erode trust.

4. 04

   Competition

   Better alternatives or switching incentives raise churn.

5. 05

   Seasonality

   Some categories see cyclical cancel patterns.

6. 06

   Contract terms

   Month-to-month vs annual changes observed churn timing.

A churn rate calculator converts starting customers and losses into churn and retention percentages for a period.

• Fast diagnostics

  Quantify retention health in seconds.

• Cohort reviews

  Run the same math across months or segments.

• LTV inputs

  Feed monthly churn into LTV models.

• Goal setting

  Set retention targets with a clear baseline.

• Reporting

  Share a consistent definition across teams.

1. Step 1

   Enter starting customers

   Use the count at the beginning of the period.

2. Step 2

   Enter customers lost

   Count voluntary and involuntary cancellations as defined.

3. Step 3

   Read churn

   Review churn % and retention %.

4. Step 4

   Segment

   Repeat by plan, cohort, or channel.

“Good” churn depends on ACV and motion. SMB monthly SaaS often sees higher logo churn than enterprise annual contracts. Focus on trend and cohort curves: improving retention usually beats chasing a vanity benchmark from another category.