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SaaS Metrics Calculator

Calculate LTV, CAC, payback period, and profitability metrics for your SaaS business

Calculate Core SaaS Metrics

$

Total cost to acquire one customer

$
/month

Monthly revenue per customer

%

Revenue remaining after COGS

%

Percentage of customers lost monthly

Core SaaS Metrics Results

Enter your SaaS metrics to calculate business performance

Example Calculation

SaaS Company Example

CAC: $100

ARPA: $20/month

Gross Margin: 80%

Churn Rate: 2%

Results

LTV = ($20 × 80%) / 2% = $800

LTV:CAC = $800 / $100 = 8:1

CAC Payback = $100 / ($20 × 80%) = 6.25 months

Customer Profitability = $700

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SaaS Metrics Benchmarks

LTV to CAC Ratio

Target: 3:1 or higher

Excellent: 5:1+

CAC Payback

Target: Under 12 months

Excellent: Under 6 months

Churn Rate

Target: Under 5% monthly

Excellent: Under 2% monthly

Key SaaS Metrics

💰

LTV (Lifetime Value)

Total revenue from customer relationship

📈

CAC (Customer Acquisition Cost)

Cost to acquire one customer

⏱️

CAC Payback Period

Time to recover acquisition cost

💎

Customer Profitability

Total profit per customer (LTV - CAC)

Understanding SaaS Metrics

What are SaaS Metrics?

SaaS metrics are key performance indicators that help Software as a Service businesses measure customer value, acquisition efficiency, and long-term profitability. These metrics are essential for making informed business decisions and securing investment.

Why are SaaS Metrics Important?

  • Determine sustainable customer acquisition costs
  • Optimize pricing and product strategies
  • Forecast cash flow and funding requirements
  • Support business valuation and investment decisions

SaaS Metrics Formulas

LTV = (ARPA × Gross Margin) / Churn Rate

CAC Payback = CAC / (ARPA × Gross Margin)

LTV to CAC = LTV / CAC

Customer Profitability = LTV - CAC

Optimization Strategies:

  • • Increase ARPA through upselling and pricing optimization
  • • Reduce churn with better onboarding and customer success
  • • Lower CAC through efficient marketing channels
  • • Improve gross margins by optimizing costs
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