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paid-ltv-optimization

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Optimize paid channels by LTV, payback, margin

Marketing & Sales#attribution#payback period#ecommerce#media optimization#cac#paid ads#cohort ltv
Authorohsonerdy
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill helps you decide whether to scale, optimize, pause, or restructure each paid acquisition channel by evaluating cohort LTV versus CAC and payback time, using margin-adjusted economics rather than first-purchase ROAS or blended CAC alone.

Core Features & Use Cases

  • Channel-level CAC and cohort LTV (30/90/180d): Compares acquisition channels by how long customers survive and how much value they generate over time.
  • Payback period with margin awareness: Converts CAC into “how fast you get your contribution-margin back,” enabling cash-flow-safe decisions.
  • Attribution sensitivity checks: Runs or requests attribution model context (e.g., last-click vs multi-touch) to avoid acting on misleading channel credit.
  • Decision matrix + channel playbooks: Outputs a four-channel verdict (Scale / Cash-constrained scale / Optimize / Pause-or-restructure) and provides concrete actions and tests.

Quick Start

Use the paid-ltv-optimization skill to evaluate Meta, Google, and TikTok using your last 90 days of spend and cohort LTV so you can decide exactly what to scale this week.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: paid-ltv-optimization
Download link: https://github.com/ohsonerdy/openclaw-frontier-stack/archive/main.zip#paid-ltv-optimization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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