deanpeters avatar

Acquisition Channel Advisor

This walks you through whether to scale, test, or kill an acquisition channel by looking at unit economics (LTV:CAC, payback period), customer quality (retention and expansion by source), and scalability (volume potential, magic number). It asks up to 4 adaptive questions with numbered options, calculates your channel CAC if you don't have it, and flags whether you've got strong economics (>3:1 LTV:CAC, <12mo payback), marginal (2-3:1), or poor (<2:1). The honest take: it's a structured way to avoid the classic mistake of pouring budget into channels with low CAC but terrible retention, or killing channels that just need optimization. Best used when you have at least 3 months of data and can segment customers by acquisition source.

skills.sh installs
2.8K
GitHub stars
7.9K
last updated
Aug 21, 2026

Install

$ npx -y skills add deanpeters/product-manager-skills --skill acquisition-channel-advisor --agent claude-code

Installs into .claude/skills of the current project.

Files

Purpose

Guide product managers through evaluating whether to scale, test, or kill an acquisition channel based on unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability (magic number, volume potential). Use this to make data-driven go-to-market decisions and optimize channel mix for sustainable growth.

This is not a channel strategy framework—it's a financial lens for channel evaluation that helps you avoid scaling unprofitable channels or killing channels with fixable problems. Use when deciding how to allocate marketing budget across channels.

Input

Works best with: The acquisition channel you're evaluating (e.g., paid search, outbound SDR, partner referrals). Also useful: Any metrics you already have — CAC, LTV, payback period, retention/NRR by channel — plus company stage and the decision on the table (scale, test, or kill).

Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.

Sponsors

Details

Repository
github.com/deanpeters/product-manager-skills
Categories
Testing & QA, Code Review & Quality
First seen
Apr 16, 2026

More from deanpeters/product-manager-skills

All 49
1nvidia avatarcuopt-developernvidia/skillsModify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.2.7Kskills.sh installs
2juliusbrussee avatarbuildjuliusbrussee/cavekitPlan-then-execute implementation against SPEC.md. Native single-thread loop, no sub-agents. On test or build failure, auto-invokes the backprop skill before ret2.7Kskills.sh installs
3amelnagdy avatarwp-guardamelnagdy/guard-skillsReview generated or changed WordPress code — plugins, themes, and blocks — before it ships. Best used reactively after an agent writes, edits, or reviews code t2.7Kskills.sh installs
4vercel avatarflags-sdkvercel/flagsGuide for feature flags and A/B tests with the Flags SDK (`flags` npm package) and Vercel Flags. Use when: declaring flags with `flag()`, using `vercelAdapter` 2.7Kskills.sh installs
5openai avatarplugin-creatoropenai/skillsCreate and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can e2.6Kskills.sh installs
6juliusbrussee avatarbackpropjuliusbrussee/cavekitBug → spec protocol. When a bug is found or a test fails, trace the cause, decide whether a new §V invariant would catch recurrence, append to §B. This is the o2.6Kskills.sh installs