acquisition-channel-advisor

Evaluates acquisition channels using CAC, LTV, payback, and scalability metrics to recommend scale, test, or kill decisions.

1|1|Updated Jul 6, 2026
One-click install
npx skills add https://github.com/muhammaddadu/ai-skill-collection --skill acquisition-channel-advisor-muhammaddadu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: acquisition-channel-advisor
Source: https://github.com/muhammaddadu/ai-skill-collection/tree/main/growth/acquisition-channel-advisor
Command: npx skills add https://github.com/muhammaddadu/ai-skill-collection --skill acquisition-channel-advisor-muhammaddadu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Deciding whether to scale, optimize, or kill a marketing acquisition channel is hard when you only look at vanity metrics or blended averages. This Skill applies a unit-economics lens so budget allocation decisions are grounded in CAC, LTV, payback period, and customer quality rather than gut feel. ## Core Features & Use Cases - Unit Economics Evaluation: Calculates channel-level CAC, LTV:CAC ratio, payback period, and Magic Number, then benchmarks them against blended metrics. - Customer Quality & Scalability Assessment: Analyzes cohort retention, NRR, ICP fit, addressable volume, and CAC trends per channel. - Decision Recommendations: Produces one of four structured recommendations (scale aggressively, test & optimize, kill or pause, invest to learn) with budget and monitoring guidance. - Use Case: A PM spending $15K/month on content marketing and $20K on Google Ads uses this Skill to compare both channels side by side and reallocate budget toward the one with 16:1 LTV:CAC. ## Quick Start Ask the agent to evaluate whether you should scale, test, or kill a specific acquisition channel using your spend, CAC, LTV, and retention data.

Frequently Asked Questions about acquisition-channel-advisor

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

FAQPage Schema
How do I decide whether to scale or kill a marketing channel?▼

Compare the channel's LTV:CAC ratio, payback period, and Magic Number against thresholds. Channels above 3:1 LTV:CAC with payback under 12 months merit scaling; below 2:1 with payback over 18 months should be killed or fixed first.

What is a good LTV to CAC ratio for SaaS channels?▼

A ratio above 3:1 indicates healthy unit economics worth scaling. Ratios between 2:1 and 3:1 are marginal and need optimization, while anything below 2:1 is unsustainable unless the channel has strategic value.

How do I calculate CAC payback period for a channel?▼

Divide channel CAC by monthly gross profit per customer, which is ARPU multiplied by gross margin percentage. For example, a $200 CAC with $93.75 monthly gross profit yields a 2.1-month payback.

When should I not use unit economics to evaluate a channel?▼

Avoid this evaluation for channels younger than three months or with fewer than 100 customers, since there is not enough cohort data. Strategic channels like enterprise field sales may also warrant continued investment despite poor short-term economics.

Why is blended CAC misleading for budget allocation?▼

Blended CAC averages hide underperforming channels behind efficient ones. Tracking CAC, LTV, and retention per channel reveals which specific channels to scale, optimize, or kill.