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Afrexai Saas Metrics

SaaS Metrics Dashboard

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

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-saas-metrics

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技能说明

SaaS Metrics Dashboard

Generate a complete SaaS metrics analysis from your data. Covers the 15 metrics that actually matter for B2B SaaS in 2026 — not vanity numbers.

What It Does

When triggered, this skill:

  1. Asks for your current numbers (MRR, churn, CAC, etc.)
  2. Calculates derived metrics (LTV:CAC, Magic Number, Rule of 40, Burn Multiple)
  3. Benchmarks against 2026 SaaS medians by stage (Pre-Seed → Series C+)
  4. Flags red/yellow/green across every metric
  5. Outputs a board-ready metrics summary with action items

Core Metrics Framework

Revenue Metrics
Metric Formula 2026 Benchmark (Series A)
MRR Sum of monthly recurring revenue $80K-$250K
ARR MRR × 12 $1M-$3M
Net Revenue Retention (NRR) (Starting MRR + Expansion - Contraction - Churn) / Starting MRR >110%
Gross Revenue Retention (GRR) (Starting MRR - Contraction - Churn) / Starting MRR >85%
Revenue per Employee ARR / Headcount $150K-$250K
Growth Metrics
Metric Formula Healthy Range
MoM Growth (This Month MRR - Last Month MRR) / Last Month MRR 10-20% pre-Series A
Quick Ratio (New MRR + Expansion MRR) / (Contraction MRR + Churned MRR) >4.0
Magic Number Net New ARR (QoQ) / Prior Quarter S&M Spend >0.75
Unit Economics
Metric Formula Target
CAC Total S&M Spend / New Customers Acquired Varies by ACV
LTV ARPU × Gross Margin % / Monthly Churn Rate >3× CAC
LTV:CAC Ratio LTV / CAC 3:1 to 5:1
CAC Payback CAC / (ARPU × Gross Margin %) <18 months
Gross Margin (Revenue - COGS) / Revenue >70%
Efficiency Metrics
Metric Formula Target
Rule of 40 Revenue Growth % + EBITDA Margin % >40
Burn Multiple Net Burn / Net New ARR <2.0

Benchmarks by Stag...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-saas-metrics
Version
—
Commit
e737b9e0bd909fc84845ee83f5ca641dff036e33
分类来源
rules
状态
active
可见性
public

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。

README

SaaS Metrics Dashboard

Calculate, benchmark, and diagnose your SaaS metrics in seconds. Covers the 15 numbers that actually determine whether your SaaS business is healthy — MRR, NRR, LTV:CAC, Burn Multiple, Rule of 40, and more.

Built for founders, CFOs, and operators who need a quick read on where they stand versus 2026 benchmarks (Pre-Seed through Series C+).

What You Get

  • All 15 core SaaS metrics calculated from your raw numbers
  • 2026 stage-appropriate benchmarks (not 2019 data)
  • Red/yellow/green flags with specific fix-it actions
  • Board-ready output format
  • Industry adjustments for vertical SaaS, PLG, and usage-based models

Quick Start

Give your agent these numbers and ask it to run the SaaS metrics analysis:

  • MRR, monthly churn rate, new customers, S&M spend, ARPU, gross margin, headcount, monthly burn

The skill handles the rest.

From AfrexAI

Free tool — use it, share it, run it every month.

For the full operations stack (financial models, compliance, hiring, go-to-market): AfrexAI Context Packs — $47/pack, 10 industries.

AI Revenue Calculator | Agent Setup Wizard

来源内容

SKILL.md
# SaaS Metrics Dashboard

Generate a complete SaaS metrics analysis from your data. Covers the 15 metrics that actually matter for B2B SaaS in 2026 — not vanity numbers.

## What It Does

When triggered, this skill:
1. Asks for your current numbers (MRR, churn, CAC, etc.)
2. Calculates derived metrics (LTV:CAC, Magic Number, Rule of 40, Burn Multiple)
3. Benchmarks against 2026 SaaS medians by stage (Pre-Seed → Series C+)
4. Flags red/yellow/green across every metric
5. Outputs a board-ready metrics summary with action items

## Core Metrics Framework

### Revenue Metrics
| Metric | Formula | 2026 Benchmark (Series A) |
|--------|---------|--------------------------|
| **MRR** | Sum of monthly recurring revenue | $80K-$250K |
| **ARR** | MRR × 12 | $1M-$3M |
| **Net Revenue Retention (NRR)** | (Starting MRR + Expansion - Contraction - Churn) / Starting MRR | >110% |
| **Gross Revenue Retention (GRR)** | (Starting MRR - Contraction - Churn) / Starting MRR | >85% |
| **Revenue per Employee** | ARR / Headcount | $150K-$250K |

### Growth Metrics
| Metric | Formula | Healthy Range |
|--------|---------|---------------|
| **MoM Growth** | (This Month MRR - Last Month MRR) / Last Month MRR | 10-20% pre-Series A |
| **Quick Ratio** | (New MRR + Expansion MRR) / (Contraction MRR + Churned MRR) | >4.0 |
| **Magic Number** | Net New ARR (QoQ) / Prior Quarter S&M Spend | >0.75 |

### Unit Economics
| Metric | Formula | Target |
|--------|---------|--------|
| **CAC** | Total S&M Spend / New Customers Acquired | Varies by ACV |
| **LTV** | ARPU × Gross Margin % / Monthly Churn Rate | >3× CAC |
| **LTV:CAC Ratio** | LTV / CAC | 3:1 to 5:1 |
| **CAC Payback** | CAC / (ARPU × Gross Margin %) | <18 months |
| **Gross Margin** | (Revenue - COGS) / Revenue | >70% |

### Efficiency Metrics
| Metric | Formula | Target |
|--------|---------|--------|
| **Rule of 40** | Revenue Growth % + EBITDA Margin % | >40 |
| **Burn Multiple** | Net Burn / Net New ARR | <2.0 |

## Benchmarks by Stag...
README
# SaaS Metrics Dashboard

Calculate, benchmark, and diagnose your SaaS metrics in seconds. Covers the 15 numbers that actually determine whether your SaaS business is healthy — MRR, NRR, LTV:CAC, Burn Multiple, Rule of 40, and more.

Built for founders, CFOs, and operators who need a quick read on where they stand versus 2026 benchmarks (Pre-Seed through Series C+).

## What You Get

- All 15 core SaaS metrics calculated from your raw numbers
- 2026 stage-appropriate benchmarks (not 2019 data)
- Red/yellow/green flags with specific fix-it actions
- Board-ready output format
- Industry adjustments for vertical SaaS, PLG, and usage-based models

## Quick Start

Give your agent these numbers and ask it to run the SaaS metrics analysis:
- MRR, monthly churn rate, new customers, S&M spend, ARPU, gross margin, headcount, monthly burn

The skill handles the rest.

## From AfrexAI

Free tool — use it, share it, run it every month.

For the full operations stack (financial models, compliance, hiring, go-to-market): **[AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/)** — $47/pack, 10 industries.

**[AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)** | **[Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)**

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