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SaaS Metrics Calculator · Startup & industry

SaaS Metrics Calculator: MRR, Churn, LTV:CAC & Payback

MRR, ARR, LTV, LTV:CAC, CAC payback and NRR, with a 12-month MRR projection.

  • 100% free
  • No sign-up
  • Runs in your browser

Your numbers

$

Average revenue per account.

%
%

Upgrades and add-ons as % of MRR.

$

Sales and marketing cost per new customer.

%

Result

MRR

$19,800

$237,600 ARR

LTV

$2,640

Gross profit per customer

LTV:CAC

4.4:1

Benchmark 3:1 or better

CAC payback

7.6 mo

Benchmark 12 months or less

Net revenue retention

78%

Annualised, before new customers

MRR in 12 months

$36,850

86% vs today

MRR over the next 12 months

LTV : CAC

1:13:1
Healthy

Healthy unit economics: LTV is 4.4× CAC and you earn CAC back in 7.6 months. You can afford to spend more on acquisition; keep churn down with strong onboarding.

MRR = customers × ARPA. LTV = ARPA × gross margin ÷ monthly churn. Payback = CAC ÷ (ARPA × gross margin). NRR = (1 − churn + expansion)^12. The projection adds new customers each month and applies churn and expansion. Calculated in your browser; nothing is stored.

How it works

How to use SaaS Metrics Calculator

  1. 1

    Enter paying customers, ARPA and your monthly churn and expansion.

  2. 2

    Add CAC, gross margin and the new customers you add each month.

  3. 3

    Check LTV:CAC, payback and the 12-month MRR projection against benchmarks.

About

About this tool

SaaS founders and investors judge a business on a handful of numbers: monthly recurring revenue, churn, lifetime value, customer acquisition cost and how fast you earn that cost back. This calculator works them all out from seven inputs.

Enter paying customers, average revenue per account, monthly churn and expansion, CAC, gross margin and new customers per month. You get MRR, ARR, LTV, LTV:CAC, CAC payback, annualised net revenue retention and a 12-month MRR projection.

Common benchmarks are LTV:CAC of 3 or more and CAC payback under 12 months. If you're off, fix churn first: it caps every other metric.

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