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Afrexai Unit Economics

Unit Economics Analyzer

1kalin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 1kalin/afrexai-unit-economics

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-unit-economics
Version
—
Commit
bb650a4a1ae1e7f026abcb47ad7d3f8c6a7def2e
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

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 — 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

Extracted content

SKILL.md
# 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...
README
# 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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