Unit Economics Analyzer
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-unit-economics打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
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.
When activated, the agent will:
Calculate Core Metrics
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% |
Segment Analysis
Cohort Decay Modeling
LTV = ARPU × Gross Margin / Monthly Churn Rate
Scenario Planning
Tell the agent:
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
Calculate CAC, LTV, payback period, and contribution margin. Benchmark against industry standards. Identify profitable vs toxic customer segments. Model scenarios before they happen.
Built by AfrexAI — AI context packs for business operators.
Install this skill, then tell your agent: "Analyze my unit economics"
Provide your ARPU, churn rate, gross margin, and acquisition costs. The agent handles the rest — calculations, benchmarks, red flags, and action items.
# 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 u...
# Unit Economics Analyzer Calculate CAC, LTV, payback period, and contribution margin. Benchmark against industry standards. Identify profitable vs toxic customer segments. Model scenarios before they happen. Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs for business operators. ## Quick Start Install this skill, then tell your agent: "Analyze my unit economics" Provide your ARPU, churn rate, gross margin, and acquisition costs. The agent handles the rest — calculations, benchmarks, red flags, and action items. ## What You Get - Full CAC/LTV/payback calculation with DCF method - Industry benchmarks (SaaS, marketplace, e-commerce, services) - Segment-level profitability analysis - Cohort decay modeling - Scenario planning (what-if on pricing, churn, CAC) - Red flag detection with thresholds ## Links - [AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/) — $47/industry - [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Free - [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Free
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