CalcBix

SaaS Calculators

Free SaaS metrics calculators for founders, operators, and growth teams. Track monthly recurring revenue, model churn impact, calculate customer acquisition cost, and understand your LTV:CAC ratio — the core metrics that drive SaaS fundraising, pricing, and growth strategy.

Common use cases

MRR and ARR tracking

Calculate your Monthly and Annual Recurring Revenue as a baseline for growth planning and investor reporting.

Churn impact modelling

Model how different churn rates affect MRR and customer count over 12 months to prioritise retention.

LTV:CAC ratio health check

Check whether your customer lifetime value is at least 3x your acquisition cost — the standard SaaS benchmark.

Runway planning

Calculate how many months of operating runway remain at your current burn rate to time fundraising correctly.

Expansion revenue tracking

Separate new MRR from expansion (upsell/cross-sell) MRR to understand whether existing customers are growing.

Net Revenue Retention

Calculate NRR to understand whether your existing customer base is growing, shrinking, or holding flat over time.

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Related categories

Frequently asked questions

What is a healthy churn rate for SaaS?

For B2B SaaS, monthly churn below 1–2% is generally considered healthy. Annual churn below 10–15% is often the benchmark. However, acceptable churn varies significantly by market segment and average contract value.

What does LTV:CAC ratio mean?

LTV (Customer Lifetime Value) divided by CAC (Customer Acquisition Cost). A ratio above 3:1 is typically considered healthy, meaning you earn at least $3 in lifetime value for every $1 spent to acquire a customer.

How is MRR different from ARR?

MRR is your monthly recurring revenue — predictable subscription income in one month. ARR is simply MRR × 12. ARR is often used for investor reporting and benchmarking annual scale.

Do these SaaS tools work for non-subscription businesses?

Some metrics like ROAS, ROI, and CAC apply broadly. Others like MRR, ARR, and NRR are specific to recurring revenue models.