ltv-cac-calculator

Compute LTV/CAC ratios from unit economics and retention assumptions.

7|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill ltv-cac-calculator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ltv-cac-calculator
Source: https://github.com/Leooooooow/Awesome-eCommerce-Skills/tree/main/skills/ltv-cac-calculator
Command: npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill ltv-cac-calculator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps product teams and data analysts determine whether acquisition is delivering sustainable value by quantifying LTV relative to CAC using explicit inputs, margins, and retention assumptions.

Core Features & Use Cases

  • End-to-end LTV/CAC modeling using unit economics, margins, and retention assumptions.
  • Scenario analysis across lifetime windows, channels, and pricing scenarios.
  • Generates a reusable Python script and a structured report to support decision-making.

Quick Start

Provide your unit economics and run the generated Python script to compute LTV/CAC and produce a report.

Frequently Asked Questions about ltv-cac-calculator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate LTV to CAC ratio for ecommerce channels?

Calculating the LTV/CAC ratio involves aggregating unit economics, retention assumptions, and CAC components. This Skill computes the assessment and returns a summary with risk notes plus a Python script to reproduce the calculation.

What is a healthy LTV/CAC ratio for subscription or ecommerce models?

A healthy LTV/CAC ratio indicates sustainable acquisition value. This Skill quantifies LTV relative to CAC using explicit inputs and margins, applying scenario analysis across lifetime windows to evaluate profitability and channel sustainability.

Can I model retention-driven growth and profitability scenarios in Python?

Yes, you can model retention-driven growth and profitability scenarios in Python. The Skill applies your retention assumptions to different lifetime windows and generates a ready-to-run Python script to compute the results.

Do I need to install external dependencies to run the generated LTV/CAC script?

No external dependencies are required to run the generated LTV/CAC script. The Skill operates without dependencies and generates a standalone Python script to compute the LTV/CAC assessment using your inputs.

How do I assess new acquisition channels using unit economics?

Assessing new acquisition channels uses unit economics by applying CAC components and margins to evaluate channel sustainability. The Skill calculates the LTV/CAC ratio for these scenarios and returns a structured report with risk notes.