CAC Calculator
Calculate CAC by dividing total sales and marketing spend by new customers acquired. Free browser-based calculator.
How CAC Calculator Works
CAC = Total Sales & Marketing Spend ÷ New Customers Acquired in the same period. Use the same time period for both inputs. CAC tells you what you're spending to acquire each new customer. Critical for evaluating whether your unit economics work — CAC must be profitable relative to customer lifetime value.
This tool uses industry-standard formulas and calculations to provide accurate results instantly. All calculations happen in your browser — your data never leaves your device, ensuring complete privacy and security.
Whether you're optimizing marketing campaigns, managing finances, or processing data, this tool gives you the precision and speed you need to make informed decisions quickly.
LTV:CAC Ratio Targets
| Label | Meaning |
|---|---|
| LTV:CAC above 5:1 | May be under-investing in growth |
| LTV:CAC 3:1–5:1 | Healthy — efficient acquisition (David Skok benchmark) |
| LTV:CAC 1:1–3:1 | Marginal — improve retention or reduce CAC |
| LTV:CAC below 1:1 | Destroying value — spending more than customers are worth |
Frequently Asked Questions
What is CAC?
Customer Acquisition Cost (CAC) is the total sales and marketing investment required to acquire one new paying customer. Formula: Total S&M Spend ÷ New Customers in the same period.
What is a good CAC?
CAC has no universal benchmark — it depends entirely on your ACV and LTV. A $500 CAC is excellent if a customer is worth $5,000 over their lifetime, and terrible if they're worth $300. Always evaluate CAC relative to LTV.
Blended CAC vs paid CAC — what's the difference?
Blended CAC divides total S&M spend by all new customers (including organic). Paid CAC only counts customers from paid channels. Blended CAC is the standard for investor reporting; paid CAC is useful for evaluating specific channel efficiency.
Is my data stored?
No.
Can I use this on mobile?
Yes.
About This Tool
Built by the Calcyo team and last updated June 2026. All calculations follow industry-standard methodology. No data leaves your browser — calculations run entirely client-side using JavaScript. If you spot an error in the formula or benchmark data, email us at support@calcyo.xyz.