SaaS Metrics

CAC CALCULATOR

Blended CAC, payback, LTV:CAC ratio, revenue impact, What-If scenarios, and industry benchmarks.

Private by design No signup · Free

Costs & Customers

Monthly Marketing Spend ($)

Monthly Sales Spend ($)

New Customers (per month)

Avg Revenue Per Customer ($/mo)

Avg Customer Lifespan (months)

What-If

Test how changes affect your unit economics

History

CAC Metrics

$0.00

Blended CAC

$0.00

Marketing CAC

$0.00

Sales CAC

0 mo

CAC Payback

$0.00

Customer LTV

0.0:1

LTV:CAC Ratio

—

Revenue Impact

Projected revenue from new customers at current CAC

Monthly New Rev

Annual New Rev

Monthly Cost

Monthly Gross

Industry Benchmark

Estimates for education only — not financial, tax, or investment advice. Verify with a qualified professional. Disclaimer

Frequently Asked Questions

How does the CAC Calculator work?

Enter total sales plus marketing spend and new customers acquired. The tool computes CAC (spend ÷ customers) locally, then shows payback months, LTV-to-CAC ratio guidance and channel comparison so you can judge acquisition efficiency.

Is the Cac Calculator free to use?

Yes, it is completely free with no hidden fees, subscriptions, or usage limits. No sign-up or account required. With CAC Calculator, re-run with your own inputs before deciding.

How accurate are the results?

CAC divides entered spend by entered customers with 2-decimal precision. Attribute spend to the same cohort window as the customers counted, otherwise blended CAC understates new-channel costs.

Is my data safe when using Cac Calculator?

Absolutely. All calculations happen locally in your browser. Your data never touches any server and is never stored or tracked. With CAC Calculator, re-run with your own inputs before deciding.

What is customer acquisition cost (CAC)?

CAC is the total cost to acquire a new customer. Add all marketing and sales costs for a period, then divide by the number of new customers gained. It tells you how much you spend on average to win each customer.

What is a good LTV:CAC ratio?

A ratio above 3:1 is considered healthy. Between 1:1 and 3:1 means you are acquiring customers profitably but have room to improve. Below 1:1 means you spend more to acquire a customer than they will ever pay you — which is unsustainable.

How is CAC payback period calculated?

CAC payback = blended CAC divided by average monthly revenue per customer. It shows how many months it takes to earn back what you spent acquiring each customer. A payback under 12 months is good for most SaaS businesses.

How to Use

Enter Costs & Customers

Type your marketing spend, sales spend, new customers, ARPU, and customer lifespan. Pick a What-If scenario to test changes.

Review All Metrics

See blended CAC, payback, LTV:CAC ratio, revenue impact, and how you compare to industry benchmarks.

Optimize & Plan

Use the scenarios and benchmarks to identify improvement areas and set unit economics targets.

How to Calculate

The Cac Calculator uses transparent calculation logic to compute results based on your inputs. Enter your values, select Compute, and the tool processes everything instantly using optimized algorithms — all within your browser.

About the CAC Calculator

The CAC (Customer Acquisition Cost) Calculator is an advanced free online tool for startups and SaaS businesses to measure customer acquisition efficiency. It calculates blended CAC, marketing and sales CAC, payback period, customer LTV, LTV:CAC ratio, revenue impact, and includes a What-If scenario simulator and industry benchmark comparison.

All calculations happen locally in your browser. No data is sent to any server, no sign-up required, and no tracking. Your calculation history and inputs are saved in local storage so you can track changes between visits.

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Methodology & feedback

Figures run locally in your browser from the values you enter (page updated 2026-10-02). Estimates are educational only — verify finance, tax and health decisions with a qualified professional (see Disclaimer). Spotted an error? Report it via contact and we correct with a new update date.

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