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The skill's instructions, inputs, and scope match its stated purpose (unit-economics analysis); it requires no credentials, installs nothing, and contains only calculation and benchmarking guidance with promotional links.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Unit Economics Analyzer」。简介：Calculates and benchmarks key unit economics metrics like CAC, LTV, payback per…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-unit-economics/SKILL.md
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SKILL.md

打开原始 SKILL.md（GitHub raw）

# Unit Economics Analyzer

Break down your business to the numbers that actually matter. This skill calculates and benchmarks your unit economics — CAC, LTV, payback period, contribution margin — so you know exactly which customers make you money and which ones burn it.

## What It Does

When activated, the agent will:

1. **Calculate Core Metrics**
   - Customer Acquisition Cost (CAC) — fully loaded (ads + sales salaries + tools + overhead)
   - Lifetime Value (LTV) — using both simple and DCF methods
   - LTV:CAC Ratio — the single number investors care about most
   - CAC Payback Period — months to recover acquisition spend
   - Contribution Margin — per unit and per customer

2. **Benchmark Against Industry**
   | Metric | Healthy SaaS | Marketplace | E-commerce | Services |
   |--------|-------------|-------------|------------|----------|
   | LTV:CAC | 3:1 – 5:1 | 2:1 – 4:1 | 1.5:1 – 3:1 | 4:1 – 8:1 |
   | CAC Payback | 12-18 mo | 6-12 mo | 1-3 mo | 3-6 mo |
   | Gross Margin | 70-85% | 40-65% | 30-50% | 50-70% |
   | Net Revenue Retention | 110-130% | 100-115% | 80-100% | 90-110% |

3. **Segment Analysis**
   - Break unit economics by customer segment, channel, plan tier, geography
   - Identify which segments are profitable and which are subsidized
   - Flag "toxic" segments where CAC > LTV

4. **Cohort Decay Modeling**
   - Month-over-month retention curves by acquisition cohort
   - Revenue decay rate and true LTV (not the optimistic version)
   - Churn-adjusted LTV using: `LTV = ARPU × Gross Margin / Monthly Churn Rate`

5. **Scenario Planning**
   - What happens to payback if CAC increases 20%?
   - Impact of 5% churn reduction on LTV
   - Break-even analysis: minimum retention rate for profitability
   - Pricing sensitivity: how price changes flow through to unit economics

## How to Use

Tell the agent:
- "Analyze my unit economics" — walks through full calculation
- "My CAC is $X and monthly churn is Y%" — gets specific benchmarks
- "Compare my SaaS unit economics to benchmarks" — industry comparison
- "Model what happens if we cut churn by 3%" — scenario analysis
- "Break down unit economics by customer segment" — segmentation

## Required Inputs

Provide what you have (the agent will estimate what's missing):

**Revenue side:**
- Average Revenue Per User (ARPU) — monthly or annual
- Gross margin percentage
- Monthly or annual churn rate
- Expansion revenue rate (upsells, cross-sells)

**Cost side:**
- Total sales & marketing spend (monthly/quarterly)
- New customers acquired in same period
- Customer success/support costs per account
- Onboarding costs per customer

## Formulas Reference

```
CAC = Total Sales & Marketing Spend / New Customers Acquired

LTV (Simple) = ARPU × Gross Margin% / Monthly Churn Rate

LTV (DCF) = Σ (Monthly Revenue × Gross Margin%) / (1 + Discount Rate)^month

LTV:CAC Ratio = LTV / CAC  [Target: >3:1]

Payback Period = CAC / (ARPU × Gross Margin%)  [months]

Contribution Margin = (Revenue - Variable Costs) / Revenue

Magic Number = Net New ARR / Prior Quarter S&M Spend  [Target: >0.75]

Burn Multiple = Net Burn / Net New ARR  [Target: <2x]
```

## Red Flags Dashboard

| Signal | Threshold | Action |
|--------|-----------|--------|
| LTV:CAC below 1:1 | Losing money on every customer | Stop acquiring, fix retention or pricing |
| LTV:CAC below 3:1 | Unsustainable at scale | Reduce CAC or increase retention |
| Payback > 24 months | Cash flow risk | Accelerate monetization or cut acquisition |
| Gross margin < 50% | Service business, not software | Re-examine delivery costs |
| Net retention < 100% | Revenue shrinking without new sales | Fix product-market fit |
| CAC trending up > 15% QoQ | Channel saturation | Diversify acquisition channels |
| Magic Number < 0.5 | Inefficient growth spend | Pause scaling, optimize |

## Output Format

The agent produces:
- **Executive Summary** — 3-line verdict on business health
- **Metrics Table** — all calculated values with industry benchmarks
- **Segment Breakdown** — if data provided, per-segment P&L
- **Scenario Matrix** — sensitivity analysis on key variables
- **Action Items** — prioritized list of improvements with expected impact

---

## Get the Full Context

This skill gives you the framework. For industry-specific unit economics benchmarks, valuation context, and implementation playbooks:

→ **[AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/)** — $47 per industry. SaaS, Fintech, Healthcare, E-commerce, and 6 more.

→ **[AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)** — Free. Find where your business is losing money.

→ **[Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)** — Free. Configure your AI agent in 5 minutes.

**Bundles:**
- Pick 3 Packs — $97 (save $44)
- All 10 Packs — $197 (save $273)
- Everything Bundle — $247 (all packs + playbook + setup)