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在 OpenClaw 中安装
/install afrexai-cac-optimizer
功能描述
Calculates and benchmarks true customer acquisition cost by channel and cohort, identifies savings opportunities, and builds data-driven CAC reduction plans.
使用说明 (SKILL.md)
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 | \x3C$800 | \x3C$400 | 3:1+ |
| B2B SaaS (Mid-Market) | $5,500 | \x3C$4,000 | \x3C$2,500 | 3:1+ |
| B2B SaaS (Enterprise) | $15,000 | \x3C$12,000 | \x3C$8,000 | 5:1+ |
| Ecommerce (DTC) | $45 | \x3C$30 | \x3C$15 | 3:1+ |
| Fintech | $3,500 | \x3C$2,500 | \x3C$1,500 | 4:1+ |
| Healthcare SaaS | $6,000 | \x3C$4,500 | \x3C$3,000 | 4:1+ |
| Professional Services | $2,000 | \x3C$1,500 | \x3C$800 | 5:1+ |
| Construction Tech | $4,000 | \x3C$3,000 | \x3C$2,000 | 4:1+ |
LTV:CAC Health Check
| Ratio | Status | Action |
|---|---|---|
| \x3C1:1 | 🔴 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: \x3C18 months
- Series B+: \x3C12 months
- Profitable company: \x3C6 months
CAC Reduction Playbook
Quick Wins (30 days)
- Kill underperforming channels — Bottom 20% of channels by CAC efficiency → pause immediately
- Tighten ICP targeting — Narrow ad audiences to best-fit segments (often cuts CAC 20-40%)
- Optimize landing pages — A/B test headlines, CTAs, form length (10-30% conversion lift)
- Activate referral program — Existing customers are your cheapest channel ($150-$600 vs $2K+ outbound)
- Fix lead scoring — Sales time on bad leads = wasted CAC. Score ruthlessly.
Medium-Term (90 days)
- Build content moat — SEO compounds. Every ranking page reduces future CAC
- Automate nurture sequences — Drip campaigns convert leads without sales time
- Partner channel deals — Revenue share with complementary products
- Product-led growth hooks — Free tier, trials, freemium → organic conversion
- Retargeting optimization — 70% cheaper than cold acquisition
Strategic (6+ months)
- Brand building — Strong brand = lower CAC across every channel
- Community — User communities generate organic referrals
- 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 \x3C 2:1 at 12 months
Output Format
Present results as:
- CAC Summary — Overall CAC, trend (up/down), LTV:CAC ratio
- Channel Breakdown — Table ranked by efficiency (best CAC first)
- Benchmark Comparison — How you stack up vs industry
- Top 3 Reduction Opportunities — Specific, actionable, with estimated impact
- 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
安全使用建议
This instruction pack is coherent and benign: it provides formulas, benchmarks, and playbooks but does not include code or request credentials. Before using it, be mindful that accurate CAC calculations require sensitive financial and CRM data — only provide the minimum necessary data to the agent, use least-privilege connectors when granting access to accounting/CRM systems, and verify any external links or commercial offers in the README before following them. If you plan to let an autonomous agent pull data from production systems, review agent permissions and audit logs first.
功能分析
Type: OpenClaw Skill
Name: afrexai-cac-optimizer
Version: 1.0.0
The skill bundle 'afrexai-cac-optimizer' appears benign. All content in `_meta.json`, `SKILL.md`, and `README.md` is directly related to Customer Acquisition Cost (CAC) analysis and optimization. There are no indications of prompt injection attempts against the AI agent, no malicious execution commands, no data exfiltration, and no attempts to establish persistence or backdoors. The external links in the markdown files are marketing links to other products by the same vendor, hosted on GitHub Pages, and do not instruct the agent to perform any harmful actions.
能力评估
Purpose & Capability
The name/description (CAC calculation, benchmarking, reduction playbook) matches the SKILL.md content. There are no unrelated requirements (no env vars, binaries, or config paths) that would be incoherent for this purpose.
Instruction Scope
The SKILL.md contains frameworks, formulas, templates, and output formats for CAC analysis. It does not instruct the agent to read system files, access unrelated credentials, or transmit data to external endpoints; it expects the agent or user to supply financial/CRM data as input.
Install Mechanism
No install spec or code files are included (instruction-only), so nothing will be written to disk or fetched at install time.
Credentials
No environment variables, credentials, or config paths are requested. The computations described legitimately require internal business data (revenue, spend, headcount) but the skill does not request access to those systems itself.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation allowed. That default autonomy is not combined with other red flags here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install afrexai-cac-optimizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/afrexai-cac-optimizer触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of the Customer Acquisition Cost (CAC) Optimizer skill:
- Calculates true, fully-loaded CAC including all relevant costs
- Breaks down CAC by channel, segment, and cohort, with industry benchmarks
- Models LTV:CAC ratio and payback period for financial health checks
- Identifies top CAC reduction opportunities and generates a prioritized roadmap
- Provides actionable playbooks for both quick wins and strategic CAC reduction
- Supports output in a clear, summarized format for easy decision-making
元数据
常见问题
CAC Optimizer 是什么？
Calculates and benchmarks true customer acquisition cost by channel and cohort, identifies savings opportunities, and builds data-driven CAC reduction plans. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 650 次。
如何安装 CAC Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-cac-optimizer」即可一键安装，无需额外配置。
CAC Optimizer 是免费的吗？
是的，CAC Optimizer 完全免费（开源免费），可自由下载、安装和使用。
CAC Optimizer 支持哪些平台？
CAC Optimizer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 CAC Optimizer？
由 1kalin（@1kalin）开发并维护，当前版本 v1.0.0。
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