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unit-economics-tracking

Compute CAC, contribution-margin LTV, LTV:CAC ratios, and payback by cohort and acquisition channel.

14|3|Updated Mar 22, 2026
Search Tags:#unit-economics#cohort-analysis#ltv#cac#contribution-margin#payback-period#channel-attribution
One-click install
npx skills add https://github.com/tomtoto757/ecomm-ai-skills-hub --skill unit-economics-tracking-tomtoto757
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: unit-economics-tracking
Source: https://github.com/tomtoto757/ecomm-ai-skills-hub/tree/main/skills/analytics-reporting/finsilabs/data-analytics/unit-economics-tracking
Command: npx skills add https://github.com/tomtoto757/ecomm-ai-skills-hub --skill unit-economics-tracking-tomtoto757

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a clear, defensible measurement of whether customer acquisition is profitable by calculating CAC, contribution-margin LTV, LTV:CAC ratios, and payback period so teams and investors can make data-driven budget and growth decisions.

Core Features & Use Cases

  • Fully-loaded CAC calculation that includes media spend, agency fees, marketing tech, payroll allocation, and first-order discounts for accurate budget guardrails.
  • Cohort-based contribution-margin LTV with cumulative LTV curves and the ability to separate observed vs. extrapolated values for investor-ready forecasts.
  • Channel and cohort breakdowns to compare LTV:CAC by acquisition source, derive max-CAC guardrails (LTV / target ratio), and prioritize channels to scale or shrink.
  • Payback period and trend monitoring to compute months-to-payback using monthly contribution margin and to trigger alerts when CAC deteriorates.
  • Integrations & tools guidance for Lifetimely, Triple Whale, Polar Analytics, Metorik, Glew, and Google Analytics 4; includes common manual export workflows for platforms without native apps.
  • Use cases: building investor materials, validating marketing scaling decisions, setting channel-specific CAC guardrails, and auditing rising CAC trends.

Quick Start

Run the unit-economics-tracking workflow to compute fully-loaded CAC, cohort contribution-margin LTV, LTV:CAC ratios, and payback months by acquisition channel using your platform exports and ad cost data.

Frequently Asked Questions about unit-economics-tracking

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

FAQPage Schema
How do I calculate fully-loaded CAC and contribution-margin LTV for my ecommerce store?▼

Calculate fully-loaded CAC and contribution-margin LTV by combining platform exports with ad cost data to include media spend, agency fees, marketing tech, and discounts. This Skill computes cohort-based LTV curves and LTV:CAC ratios for accurate profitability tracking.

Can I track unit economics metrics like LTV:CAC and payback period for Shopify or WooCommerce?▼

Yes, you can track unit economics metrics for Shopify, WooCommerce, BigCommerce, and custom platforms. The workflow processes your platform exports to compute CAC, contribution-margin LTV, payback period, and LTV:CAC ratios by cohort and acquisition channel.

What is the best way to set max-CAC guardrails using cohort analysis and channel attribution?▼

The best way to set max-CAC guardrails is by dividing channel-specific contribution-margin LTV by your target LTV:CAC ratio. This Skill derives guardrails from cohort LTV curves and channel attribution breakdowns to prioritize channels to scale or shrink.

Does this unit economics tracking workflow integrate with Lifetimely, Triple Whale, or Google Analytics 4?▼

Yes, it provides integration guidance for Lifetimely, Triple Whale, Polar Analytics, Metorik, Glew, and Google Analytics 4. It also supports common manual export workflows for platforms without native analytics apps to compute CAC and LTV.

Why does my customer acquisition cost keep rising, and how do I audit my CAC trend?▼

Audit rising CAC trends by computing months-to-payback using monthly contribution margin and monitoring fully-loaded CAC breakdowns. This Skill triggers alerts when CAC deteriorates and separates observed vs extrapolated LTV values for investor-ready forecasts.

How do I build investor reporting materials with cohort LTV curves and payback calculations?▼

Build investor reporting materials by generating cohort LTV curves, fully-loaded CAC breakdowns, and payback period calculations. This workflow separates observed and extrapolated LTV values to create defensible, data-driven growth and budget decisions.

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