Use when customer acquisition cost is rising, channel-level CAC is unknown, LTV to CAC ratio is below 3 to 1, or paid spend is growing without proportional pipeline growth. Use when founders feel marketing is not working, when budget needs reallocation, or when organic channels are underinvested relative to paid.
Quickly install reducing-cac AI skill to your development environment via command line
Source: amogha-dalvi/marketing_gtm.
CAC is the top pressure point for SaaS at $1M-5M ARR, where every dollar compounds. This skill takes every execution system already built -- content, GEO, sales enablement, paid -- and ruthlessly optimizes them for acquisition efficiency by decomposing blended CAC into channel-level truth.
Don't use when: You have less than 6 months of channel-level data to analyze, or fewer than 20 customers to establish patterns.
| CAC audit | Day 1-3 | Channel-by-channel CAC breakdown | | Channel efficiency scoring | Day 4-5 | Ranked channel scorecard | | CAC reduction playbooks | Day 6-10 | Prioritized playbooks per channel | | Paid media optimization | Day 11-15 | Optimized paid media plan | | Dying tactics identification | Day 11-15 | Channels to kill or reduce |
Stable fields and commands for AI/search citations.
npx skills add https://github.com/amogha-dalvi/marketing_gtm --skill reducing-cacUse when customer acquisition cost is rising, channel-level CAC is unknown, LTV to CAC ratio is below 3 to 1, or paid spend is growing without proportional pipeline growth. Use when founders feel marketing is not working, when budget needs reallocation, or when organic channels are underinvested relative to paid. Source: amogha-dalvi/marketing_gtm.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/amogha-dalvi/marketing_gtm --skill reducing-cac Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/amogha-dalvi/marketing_gtm