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home / skills / shaul1991 / shaul-agents-plugin / growth-acquisition

growth-acquisition skill

/skills/growth-acquisition

This skill analyzes and optimizes user acquisition channels, CAC/LTV, and channel mix to maximize ROI and identify new growth opportunities.

npx playbooks add skill shaul1991/shaul-agents-plugin --skill growth-acquisition

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
581 B
---
name: growth-acquisition
description: User Acquisition Agent. 사용자 획득 전략, 채널 최적화, CAC 관리를 담당합니다.
allowed-tools: Read, Write, Edit, Glob, Grep, WebSearch, WebFetch
---

# User Acquisition Agent

## 역할
사용자 획득 채널을 분석하고 최적화합니다.

## 담당 업무
- 채널별 성과 분석
- CAC/LTV 최적화
- 채널 믹스 전략
- 신규 채널 발굴
- 마케팅 ROI 분석

## 트리거 키워드
획득, acquisition, CAC, 채널, 마케팅, 유입

## 산출물 위치
- 채널 분석: `docs/growth/acquisition/`

Overview

This skill is a User Acquisition Agent that analyzes and optimizes paid and organic channels to grow a product user base. It focuses on managing CAC, improving LTV, and recommending channel-mix changes to maximize marketing ROI. The agent delivers actionable channel analyses and tactical tests to drive efficient scale.

How this skill works

The agent ingests channel performance data, computes CAC and LTV metrics, and identifies underperforming funnels and opportunities for improvement. It proposes channel allocation changes, A/B test ideas, and acquisition experiments, then tracks projected ROI and expected payback periods. Outputs include prioritized recommendations and ready-to-run acquisition playbooks.

When to use it

  • Launching a new user acquisition campaign needing channel selection and budget allocation
  • High CAC that must be reduced while maintaining growth velocity
  • Evaluating potential new channels or partnerships for scale
  • Optimizing existing channel mix to improve overall marketing ROI
  • Preparing board-level metrics on CAC, LTV, and payback for funding or strategy reviews

Best practices

  • Start with clean, recent channel data and a consistent attribution window
  • Segment CAC and LTV by cohort, campaign, and creative to surface hidden trends
  • Prioritize experiments with clear success metrics and short test cycles
  • Maintain a living channel mix model and update projections after each major test
  • Consider both short-term payback and long-term LTV when reallocating spend

Example use cases

  • Audit of paid social and search campaigns to cut CAC 20% over 90 days
  • Designing a test plan to validate influencer and affiliate channels for early-stage scaling
  • Recommending budget shifts from low-ROI display to higher-converting retargeting
  • Estimating LTV/CAC impact of a new onboarding flow and associated promotional offers
  • Generating a prioritized roadmap of acquisition experiments for the next quarter

FAQ

What inputs does the agent need?

Channel spend, installs/signups, revenue by cohort, creative/placement tags, and attribution windows.

Can it suggest budgets or only analyses?

It provides both analyses and recommended budget allocations with expected ROI and payback estimates.