SaaS Metrics Hub
Track ending MRR, ARR, gross revenue churn, net revenue retention, quick ratio, CAC, LTV, and LTV/CAC from one SaaS operating snapshot.
Last updated: 2026-03-25
SaaS metrics hub
Enter your values
Turn one month of SaaS operating inputs into a clean growth and efficiency scorecard.
Ending MRR
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Enter one month of MRR movement and acquisition assumptions to estimate SaaS growth and efficiency metrics.
Calculation History(0)
Example calculations
Tap an example to prefill the calculator with sample values.
Healthy B2B SaaS month
$82k starting MRR with expansion outrunning churn
A practical monthly scorecard for founders or operators who want revenue movement and unit economics in one place.
Result: Net new MRR stays positive and NRR clears 100%, but CAC efficiency still deserves active monitoring
Higher-churn growth month
New bookings remain strong but revenue churn is rising
Useful when topline growth can mask a retention problem unless MRR movement and churn are viewed together.
Result: The business still grows, but NRR softens and the quick ratio becomes less forgiving
How the SaaS metrics hub works
The calculator starts with MRR movement, combining new MRR, expansion MRR, and churned MRR into ending MRR, ARR, gross revenue churn, and net revenue retention.
It then adds CAC, LTV, and LTV/CAC using ARPA, gross margin, customer churn, and monthly sales-and-marketing spend so growth and efficiency can be viewed together.
SaaS metrics FAQs
How MRR movement, retention, CAC, and LTV fit together inside one operating scorecard.
Why combine MRR movement with CAC and LTV?
Because growth can look healthy while customer acquisition is expensive or retention is weakening. Seeing revenue movement and unit economics together creates a more honest operating snapshot.
What quick ratio should I want?
Many SaaS operators like quick ratio comfortably above 4, but the right target depends on burn, growth stage, and how durable your expansion revenue really is.
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</script> Related tools
Pair topline SaaS metrics with pricing and churn analysis.
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