acquisition-channel-advisor

Name: acquisition-channel-advisor
Availability: InStock
Author: rebelhawk-tk

Evaluate acquisition channel economics and quality to recommend scale, test, or kill decisions.

Updated Mar 16, 2026

Search Tags:#go-to-market #ltv #cac #payback #saas-metrics #nrr #channel-evaluation

Ready to run

npx skills add https://github.com/RebelHawk-TK/DeepThinkTrader --skill acquisition-channel-advisor-rebelhawk-tk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: acquisition-channel-advisor
Source: https://github.com/RebelHawk-TK/DeepThinkTrader/tree/main/.agents/skills/acquisition-channel-advisor
Command: npx skills add https://github.com/RebelHawk-TK/DeepThinkTrader --skill acquisition-channel-advisor-rebelhawk-tk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes acquisition channels to determine where to scale, test, or kill based on economics, quality, and scalability.

Core Features & Use Cases

Channel unit economics assessment (CAC, LTV, payback)
Customer quality evaluation (retention, NRR, ICP fit)
Scalability and strategic fit analysis
Multi-channel comparison and budget allocation recommendations

Quick Start

Provide your channel data and growth targets, and I will deliver a data-driven scaling plan.

Frequently Asked Questions about acquisition-channel-advisor

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

FAQPage Schema

How do I evaluate SaaS acquisition channels to decide whether to scale or kill them?▼

Evaluate SaaS acquisition channels by analyzing unit economics like CAC, LTV, and payback alongside customer quality metrics such as NRR and ICP fit to determine scalability. This process returns actionable recommendations to scale, test, or kill specific channels.

What SaaS metrics do I need to assess channel unit economics and customer quality?▼

To assess channel unit economics and customer quality, you need channel-level data including CAC, LTV, payback, churn, NRR, ICP fit, magic number, and addressable volume. These metrics enable a stepwise evaluation across economics, quality, and scalability for data-driven GTM planning.

How do I allocate my marketing budget across multiple acquisition channels?▼

Allocate your marketing budget by comparing multi-channel unit economics, retention, and scalability metrics. Providing your channel data and growth targets generates a data-driven scaling plan that directs budget toward channels with the strongest payback and LTV performance.

Can I use channel data to build a data-driven go-to-market scaling plan?▼

Yes, you can use channel data to build a data-driven go-to-market scaling plan. Inputting your channel-level metrics allows a stepwise evaluation of unit economics, customer quality, and scalability to output actionable recommendations for GTM planning.

When should I stop investing in an underperforming customer acquisition channel?▼

You should stop investing in a customer acquisition channel when its unit economics reveal poor payback, high churn, or low ICP fit. Analyzing these scalability and quality metrics identifies channels that fail to generate sufficient LTV relative to CAC, indicating they should be killed.

What is the best way to compare channel scalability for go-to-market planning?▼

The best way to compare channel scalability for go-to-market planning is to evaluate addressable volume, magic number, and NRR across channels. This stepwise analysis distinguishes channels ready to scale from those needing further testing or elimination.