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Benchmarks / Healthcare SaaS / early

What's a good Revenue Churn (monthly) for Healthcare SaaS at early stage ($0–$1M ARR)?

Lower is betterIndustry consensus 2025
Percentiles (Healthcare SaaS, early stage)
P25
1.5%
Top quartile (lower is better)
P50 (median)
3.5%
Median performer
P75
7%
Bottom quartile (lower is better)

Sticky contracts hold revenue; the main early risk is failed pilots, not cancellations.

How Revenue Churn (monthly) is calculated

Revenue Churn (monthly) = Churned MRR ÷ Starting MRR × 100

Percentage of recurring revenue lost each month. One large account can swing this independently of customer churn.

How to read this benchmark

If your Revenue Churn (monthly) for Healthcare SaaS at early stage ($0–$1M ARR) sits below 7%, you're in the top quartile — this is the disciplined operator zone.

Around the median (3.5%) is normal performance. Below P25 (1.5%) signals a real problem in efficiency or cost discipline that should be addressed before scaling.

Same metric at other stages
growth stage ($1M–$10M ARR)P50: 2%scale stage ($10M+ ARR)P50: 1%
Other benchmarks for Healthcare SaaS, early stage
  • Customer Churn (monthly)P50: 4%
  • Gross MarginP50: 65%
  • LTV:CAC RatioP50: 2.2
  • Net Revenue RetentionP50: 105%
  • Payback PeriodP50: 22 months
  • Trial → Paid ConversionP50: 18%
See how you compare

Saasly's free tools plug in your numbers and tell you which percentile you're in for Revenue Churn (monthly) and 15+ other SaaS metrics.

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Frequently asked questions

What's a good Revenue Churn (monthly) for Healthcare SaaS at early stage?

The median Revenue Churn (monthly) for Healthcare SaaS at early stage is 3.5%. The 25th percentile sits at 1.5% and the 75th at 7%.

How is Revenue Churn (monthly) calculated?

Revenue Churn (monthly) = Churned MRR ÷ Starting MRR × 100. Percentage of recurring revenue lost each month. One large account can swing this independently of customer churn.

Where does this benchmark come from?

Sourced from Industry consensus 2025. Sticky contracts hold revenue; the main early risk is failed pilots, not cancellations.

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