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CAC & LTV Ratio Calculator

Calculate Customer Acquisition Cost (CAC), Lifetime Value (LTV), LTV:CAC ratio, and CAC payback period.

Parameters

₹50k
₹
₹
%
10%100%
%
0.1%20%
LTV : CAC RatioCost to Acquire 1 Customer: ₹500 CAC
2.67 : 1
Customer Acquisition Cost (CAC)
₹500
Customer Lifetime Value (LTV)
₹1333
LTV : CAC Ratio
2.67:1 (Target ≥ 3:1)
CAC Payback Period
12.5 Months

About this Calculation

Calculate Customer Acquisition Cost (CAC), Lifetime Value (LTV), LTV:CAC ratio, and CAC payback period.

100% Client-SideZero Data TransmissionDeterministic Precision

CAC & LTV Ratio Calculator Mathematical Formula

SALESMARKETING × NEWCUSTOMERS × ARPU × GROSSMARGIN × CHURNRATE ➔ Result

This calculator evaluates Sales & Marketing Spend, New Customers Acquired, Monthly ARPU, Gross Margin, Monthly Churn Rate using verified algorithms to compute precise metrics.

Variable Definitions
SALESMARKETINGSales & Marketing Spend
NEWCUSTOMERSNew Customers Acquired
ARPUMonthly ARPU (Rev/User)
GROSSMARGINGross Margin (%)
CHURNRATEMonthly Churn Rate (%)
Calculation Steps
  1. 1Input and validate parameter values for Sales & Marketing Spend and New Customers Acquired.
  2. 2Normalize units to base standard dimensions.
  3. 3Execute algorithmic evaluation instantaneously in-browser.
  4. 4Display primary outcome with comprehensive breakdown schedule.

Worked Example: Real-time Evaluation

Active Parameters
Active User Parameters: Sales & Marketing Spend: ₹50,000 | New Customers Acquired: 100 | Monthly ARPU (Rev/User): ₹50.

Mathematical Execution: Using the active input parameters, the in-browser execution engine evaluates the mathematical formula with zero latency.

All calculations and schedules recalculate instantly as inputs or sliders adjust.

Frequently Asked Questions

The CAC & LTV Ratio Calculator executes verified client-side mathematical algorithms with floating-point precision, ensuring consistent and deterministic results based on your inputs.

Assumptions & Accuracy

  • Assumes standard standard-state values
  • Rounded to standard decimal precision

Accuracy Note: Accurate to standard floating point precision.

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