什么是 初创公司指标？

“初创公司指标”是一个强大的分析框架，旨在帮助创始人及开发人员监控业务脉搏。通过利用 Openclaw Skills，该工具为月经常性收入 (MRR)、客户获取成本 (CAC) 和终身价值 (LTV) 等核心指标提供了标准化公式和行业基准。它填补了原始数据与可行见解之间的鸿沟，允许团队从风险资本投资者的视角评估业务健康状况。

该技能涵盖了包括 SaaS、平台市场和消费类应用在内的多种业务模式。它提供了计算现金效率、留存率和增长速度所需的数学基础，确保您的技术和财务报告对于利益相关者而言始终保持专业、技术化且极具可操作性。

下载入口:https://github.com/openclaw/skills/tree/main/skills/wpank/startup-metrics

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

初创公司指标 应用场景

• 构建自动化的初创公司分析仪表板和内部报告工具。
• 为融资轮次准备数据丰富的投资者更新和路演资料。
• 评估单位经济效益，以确定业务模式是否足够高效以进行规模化。
• 评估现金跑道和烧钱倍数，以确保长期运营的可持续性。
• 了解根据当前融资阶段哪些具体指标最为关键。

1. 使用 Openclaw Skills 基础设施部署该技能，以集成到现有的数据环境中。
2. 输入核心财务和用户数据，如订阅收入、运营支出和获取成本。
3. 利用内置逻辑计算复杂的 KPI，如净金额留存率 (NDR)、魔法数字和 CAC 回本周期。
4. 将计算结果与种子轮、A 轮或 B 轮的阶段性基准进行对比。
5. 生成综合报告和仪表板，突出增长趋势和运营效率评分。

初创公司指标 配置指南

要安装此技能并开始追踪您的业务绩效，请在终端中运行以下命令：

npx clawhub@latest install startup-metrics

初创公司指标 数据架构与分类体系

该技能将数据组织为针对不同业务模式和阶段量身定制的逻辑集群：

name: startup-metrics
model: fast
version: 1.0.0
description: >
  Track, calculate, and optimize key performance metrics for startups from seed
  through Series A. Covers unit economics, growth efficiency, and business models.
tags: [startup, metrics, saas, kpis, unit-economics, growth, fundraising]

Startup Metrics Framework

Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.

Installation

OpenClaw / Moltbot / Clawbot

npx clawhub@latest install startup-metrics

WHAT This Skill Does

Provides formulas, benchmarks, and guidance for:

• Revenue metrics (MRR, ARR, growth rates)
• Unit economics (CAC, LTV, payback period)
• Cash efficiency (burn rate, runway, burn multiple)
• SaaS-specific metrics (NDR, magic number, Rule of 40)
• Marketplace and consumer metrics
• Stage-appropriate focus areas

WHEN To Use

• Setting up startup analytics and dashboards
• Calculating CAC, LTV, or unit economics
• Preparing investor updates or pitch materials
• Evaluating business health and efficiency
• Understanding what metrics matter at each stage

KEYWORDS

startup metrics, saas metrics, cac, ltv, arr, mrr, burn rate, burn multiple, rule of 40, net dollar retention, magic number, unit economics, marketplace gmv, dau mau

Universal Startup Metrics

Revenue Metrics

MRR = Σ (Active Subscriptions × Monthly Price)
ARR = MRR × 12

MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR
YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR

Benchmarks:

Unit Economics

CAC = Total S&M Spend / New Customers Acquired
LTV = ARPU × Gross Margin% × (1 / Churn Rate)
LTV:CAC Ratio = LTV / CAC
CAC Payback = CAC / (ARPU × Gross Margin%)

Benchmarks:

Cash Efficiency

Monthly Burn = Monthly Revenue - Monthly Expenses
Runway (months) = Cash Balance / Monthly Burn Rate
Burn Multiple = Net Burn / Net New ARR

Burn Multiple Benchmarks:

Target: Always maintain 12-18 months runway.

SaaS Metrics

Revenue Composition

Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR

Retention Metrics

NDR (Net Dollar Retention) = (ARR Start + Expansion - Contraction - Churn) / ARR Start
Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
Logo Retention = (Customers End - New Customers) / Customers Start

NDR Benchmarks:

Efficiency Metrics

Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
Rule of 40 = Revenue Growth Rate% + Profit Margin%
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)

Magic Number:

• 0.75 = Efficient, ready to scale

• 0.5-0.75 = Moderate efficiency
• < 0.5 = Inefficient, don't scale yet

Marketplace Metrics

GMV = Σ (Transaction Value)
Take Rate = Net Revenue / GMV

Typical Take Rates:

Liquidity Indicators:

• Fill rate > 80% = Strong liquidity
• Repeat rate > 60% = Strong retention

Consumer/Mobile Metrics

DAU/MAU Ratio = DAU / MAU
K-Factor = Invites per User × Invite Conversion Rate

DAU/MAU Benchmarks:

Retention Benchmarks (Day 30):

B2B Sales Metrics

Win Rate = Deals Won / Total Opportunities
Pipeline Coverage = Total Pipeline Value / Quota (target: 3-5x)
ACV = Total Contract Value / Contract Length (years)

Sales Cycle Benchmarks:

Metrics by Stage

Pre-Seed (Product-Market Fit)

Focus: Active users, retention (Day 7/30), engagement, qualitative feedback

Don't worry about: Revenue, CAC, unit economics

Seed ($500K-$2M ARR)

Focus:

• MRR growth rate (15-20% MoM)
• CAC and LTV baselines
• Gross retention (> 85%)
• Core product engagement

Start tracking: Sales efficiency, burn rate, runway

Series A ($2M-$10M ARR)

Focus:

• ARR growth (3-5x YoY)
• LTV:CAC > 3, payback < 18 months
• NDR > 100%
• Burn multiple < 2.0
• Magic number > 0.5

What Investors Want to See

Seed Round

• MRR growth rate
• User retention
• Early unit economics
• Product engagement

Series A

• ARR and growth rate
• CAC payback < 18 months
• LTV:CAC > 3.0
• NDR > 100%
• Burn multiple < 2.0

Series B+

• Rule of 40 > 40%
• Efficient growth (magic number)
• Path to profitability

Dashboard Format:

Current MRR: $250K (↑ 18% MoM)
ARR: $3.0M (↑ 280% YoY)
CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x
NDR: 112% | Logo Retention: 92%
Burn: $180K/mo | Runway: 18 months

Common Mistakes

1. Vanity Metrics — Focus on actionable metrics, not total users or page views
2. Too Many Metrics — Track 5-7 core metrics intensely, not 50 loosely
3. Ignoring Unit Economics — CAC and LTV matter even at seed stage
4. Not Segmenting — Break down by customer segment, channel, cohort
5. Gaming Metrics — Optimize for real business outcomes, not dashboards

NEVER Do

1. NEVER ignore unit economics at any stage — CAC and LTV are always critical
2. NEVER track vanity metrics (total users, page views) without retention context
3. NEVER report growth rates without absolute numbers — 100% growth from $1K is different from $1M
4. NEVER skip segmentation — aggregate metrics hide important patterns
5. NEVER confuse correlation with causation — investigate before concluding
6. NEVER set targets without understanding your stage benchmarks
7. NEVER present metrics without trend context — current value + growth rate + benchmark
8. NEVER optimize for the metric instead of the underlying business outcome