afrexai cac 优化器

SKILL研究检索

原名 afrexai-cac-optimizer

研究检索 联网访问 许可证明确 OpenClaw
安装这个技能

afrexai-cac-optimizer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

累计安装 19,555 本周 840
GitHub 星标 未标注 仓库 afrexai-cac-optimizer
下载量 6,854 技能市场下载数
权限级别 联网访问 安装前请确认风险范围
许可证 许可证明确 MIT-0

安装

ClawHub 市场
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
openclaw skills install afrexai-cac-optimizer

技能档案

研究检索
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方1kalin仓库 afrexai-cac-optimizer · 版本 1.0.0
宿主客户端OpenClaw技能可被这些客户端加载
安装方式ClawHub 市场安装包 1kalin/afrexai-cac-optimizer
权限级别联网访问安装前请确认风险范围
许可证MIT-0许可证明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-05-01上游最后核验时间 · 数据更新 未标注
正文体量5.6 KBSKILL.md 原文大小,越大说明说明书写得越细

能做什么

5 项能力
上游给出的能力概览与适用场景
  • 按任务关键词查找相关 Skills
  • 展示可复制的安装命令
  • 保留来源站点、仓库和原始说明,方便继续核验
  • 补充不同宿主或平台的使用分布数据
  • 展示第三方安全扫描或审计结果
OpenClaw 用户查找和安装 Skill 时用户想查找某类 Agent Skill 时需要根据任务场景推荐可安装能力包时需要对比不同来源的安装命令和来源信息时

权限与风险

联网访问
装之前先读完这段

安装与使用指南

安装步骤

本站只展示命令,不托管安装包,也不自动执行。

怎么用

安装后应在对应宿主中按原始 README 的触发条件使用;当前草稿只做目录说明,具体调用方式由规则抽取,异常条目再复核。

SKILL.md 全文

5.6 KB
模型实际读到的说明书原文,来自技能仓库

Customer Acquisition Cost (CAC) Optimizer

Analyze, benchmark, and reduce your customer acquisition cost across every channel.

What This Does

  • Calculates true CAC (fully loaded — not just ad spend)
  • Breaks down CAC by channel, segment, and cohort
  • Benchmarks against industry standards
  • Identifies the cheapest acquisition paths
  • Models payback period and LTV:CAC ratio
  • Generates a CAC reduction roadmap

How to Use

Tell your agent:
- "Calculate our CAC for last quarter"
- "Break down acquisition cost by channel"
- "What's our LTV:CAC ratio?"
- "Build a plan to cut CAC by 30%"

CAC Calculation Framework

True CAC Formula (Fully Loaded)

CAC = (Sales Costs + Marketing Costs + Overhead Allocation) / New Customers Acquired

Include:
- Ad spend (paid search, social, display)
- Content production costs
- Sales team comp (base + commission + benefits)
- Marketing team comp
- Tools & software (CRM, analytics, ad platforms)
- Agency/contractor fees
- Event/sponsorship costs
- Allocated overhead (office, IT, management time)

Exclude:
- Customer success / retention costs (that's your retention CAC)
- Product development
- General admin not tied to acquisition

CAC by Channel

Channel Typical B2B SaaS CAC Typical B2C CAC Payback Period
Organic Search (SEO) $200-$500 $15-$50 6-12 months
Content Marketing $300-$800 $20-$80 8-14 months
Paid Search (Google) $500-$2,000 $30-$150 3-8 months
Paid Social (LinkedIn) $800-$3,000 $40-$200 4-10 months
Paid Social (Meta) $300-$1,500 $10-$80 2-6 months
Email / Nurture $100-$400 $5-$30 1-4 months
Referral Program $150-$600 $10-$50 1-3 months
Partner / Channel $400-$1,200 N/A 3-6 months
Outbound Sales $2,000-$8,000 N/A 6-18 months
Events / Conferences $1,500-$5,000 N/A 6-12 months

Industry Benchmarks (2026)

Industry Median CAC Good Great LTV:CAC Target
B2B SaaS (SMB) $1,200 <$800 <$400 3:1+
B2B SaaS (Mid-Market) $5,500 <$4,000 <$2,500 3:1+
B2B SaaS (Enterprise) $15,000 <$12,000 <$8,000 5:1+
Ecommerce (DTC) $45 <$30 <$15 3:1+
Fintech $3,500 <$2,500 <$1,500 4:1+
Healthcare SaaS $6,000 <$4,500 <$3,000 4:1+
Professional Services $2,000 <$1,500 <$800 5:1+
Construction Tech $4,000 <$3,000 <$2,000 4:1+

LTV:CAC Health Check

Ratio Status Action
<1:1 🔴 Burning cash Stop spending. Fix product-market fit or pricing.
1:1 - 2:1 🟡 Unsustainable Optimize channels. Cut worst performers.
3:1 🟢 Healthy Standard target. Keep optimizing.
4:1 - 5:1 🟢 Strong Consider investing more in growth.
>5:1 🔵 Under-investing You're leaving growth on the table. Spend more.

Payback Period

Payback Period (months) = CAC / (Monthly Revenue per Customer × Gross Margin %)

Target by stage:
- Seed/Series A: &lt;18 months
- Series B+: &lt;12 months  
- Profitable company: &lt;6 months

CAC Reduction Playbook

Quick Wins (30 days)

  1. Kill underperforming channels — Bottom 20% of channels by CAC efficiency → pause immediately
  2. Tighten ICP targeting — Narrow ad audiences to best-fit segments (often cuts CAC 20-40%)
  3. Optimize landing pages — A/B test headlines, CTAs, form length (10-30% conversion lift)
  4. Activate referral program — Existing customers are your cheapest channel ($150-$600 vs $2K+ outbound)
  5. Fix lead scoring — Sales time on bad leads = wasted CAC. Score ruthlessly.

Medium-Term (90 days)

  1. Build content moat — SEO compounds. Every ranking page reduces future CAC
  2. Automate nurture sequences — Drip campaigns convert leads without sales time
  3. Partner channel deals — Revenue share with complementary products
  4. Product-led growth hooks — Free tier, trials, freemium → organic conversion
  5. Retargeting optimization — 70% cheaper than cold acquisition

Strategic (6+ months)

  1. Brand building — Strong brand = lower CAC across every channel
  2. Community — User communities generate organic referrals
  3. Product virality — Built-in sharing, team invites, network effects

Cohort Analysis Template

For each acquisition cohort (monthly):
- Cohort size (new customers)
- Total acquisition spend
- CAC per customer
- Month 1 revenue
- Month 3 cumulative revenue
- Month 6 cumulative revenue
- Month 12 cumulative revenue
- LTV at 12 months
- LTV:CAC at 12 months
- Payback month achieved (Y/N, which month)
- Retention rate at 12 months

Flag: Any cohort where LTV:CAC &lt; 2:1 at 12 months

Output Format

Present results as:
1. CAC Summary — Overall CAC, trend (up/down), LTV:CAC ratio
2. Channel Breakdown — Table ranked by efficiency (best CAC first)
3. Benchmark Comparison — How you stack up vs industry
4. Top 3 Reduction Opportunities — Specific, actionable, with estimated impact
5. 90-Day Roadmap — Prioritized actions with expected CAC reduction %


Built by AfrexAI — AI context packs for business operations ($47/pack)

More tools:
- AI Revenue Calculator — Find where you're losing money
- Agent Setup Wizard — Deploy AI agents in minutes
- Context Pack Store — Industry-specific AI agent configs

安全信息

审计结论
未标注不代表已通过审计
安全审计VirusTotal、ClawScan、Static analysis第三方安全审计平台给出的结论

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-05-01。