startup-metrics-framework

Use it when:: You're a founder choosing which numbers to track, checking business health against benchmarks, or preparing metrics for investors or a board.
It does:: Gives formulas and benchmarks for SaaS, marketplace, consumer and B2B metrics, and says which matter at pre-seed, seed and Series A.
You get:: Metrics calculated and compared with benchmarks, in a dashboard format of current value, trend and context.
Benchmarks:: For example, LTV:CAC above 3, net dollar retention above 100% and a burn multiple under 2 by Series A.
Edge cases:: Reports break-even rather than a runway when burn is zero or negative, and N/A for the quick ratio when nothing churned or downgraded.

TL;DR

A reference of formulas and targets for early-stage startups. Before any analysis the agent reads a reference file of universal metrics: MRR, ARR and growth rates; unit economics (CAC, LTV, LTV:CAC and CAC payback); and cash metrics (net burn, runway, and a burn multiple computed per quarter from net new ARR), plus SaaS metrics such as net new MRR, logo, net dollar and gross retention, the magic number, the Rule of 40 and the quick ratio. The SKILL.md adds marketplace metrics (GMV, take rate, fill and repeat rates, supply and demand balance), consumer metrics (DAU/MAU, day 1, 7 and 30 retention, viral coefficient) and B2B metrics (win rate, sales cycle, contract value, pipeline coverage and stage conversion). It lists the focus metrics at pre-seed, seed and Series A and what investors look for at each round, a daily-to-quarterly reporting cadence, analytics tools such as Mixpanel, ChartMogul and Looker, and five mistakes, such as vanity metrics and tracking too many numbers. Its quick start: pick 5–7 core metrics for your model and stage, set targets from the benchmarks and review them weekly.

Summarizes the skill at 4bde316.

npx skills add https://github.com/wshobson/agents --skill startup-metrics-framework

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Category	category:business Run a company outside its code and marketing: strategy, sales, finance, operations, legal, management and hiring.
Type	type:guidelines Knowledge and rules the agent applies while it works: best practices, design principles, API references.
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Topics	finance

SKILL.md

From wshobson/agents at 4bde316. Checked daily, last changed Nov 6, 2026.

Frontmatter

name: startup-metrics-framework
description: Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.
version: 1.0.0

Startup Metrics Framework

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

Overview

Track the right metrics at the right stage. Focus on unit economics, growth efficiency, and cash management metrics that matter for fundraising and operational excellence.

For every startup analysis, first read universal revenue, unit-economics, and cash metrics; also apply its SaaS section when relevant.

Marketplace Metrics

GMV (Gross Merchandise Value)

Total Transaction Volume:

GMV = Σ (Transaction Value)

Growth Rate:

GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV

Target: 20%+ MoM early-stage

Take Rate

Take Rate = Net Revenue / GMV

Typical Ranges:

Payment processors: 2-3%
E-commerce marketplaces: 10-20%
Service marketplaces: 15-25%
High-value B2B: 5-15%

Marketplace Liquidity

Time to Transaction How long from listing to sale/match?

Fill Rate % of requests that result in transaction

Repeat Rate % of users who transact multiple times

Benchmarks:

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

Marketplace Balance

Supply/Demand Ratio: Track relative growth of supply and demand sides.

Warning Signs:

Too much supply: Low fill rates, frustrated suppliers
Too much demand: Long wait times, frustrated customers

Goal: Balanced growth (1:1 ratio ideal, but varies by model)

Consumer/Mobile Metrics

Engagement Metrics

DAU (Daily Active Users) Unique users active each day

MAU (Monthly Active Users) Unique users active each month

DAU/MAU Ratio

DAU/MAU = DAU / MAU

Benchmarks:

50% = Exceptional (daily habit)
20-50% = Good
< 20% = Weak engagement

Session Frequency Average sessions per user per day/week

Session Duration Average time spent per session

Retention Curves

Day 1 Retention: % users who return next day Day 7 Retention: % users active 7 days after signup Day 30 Retention: % users active 30 days after signup

Benchmarks (Day 30):

40% = Excellent
25-40% = Good
< 25% = Weak

Retention Curve Shape:

Flattening curve = good (users becoming habitual)
Steep decline = poor product-market fit

Viral Coefficient (K-Factor)

K-Factor = Invites per User × Invite Conversion Rate

Example: 10 invites/user × 20% conversion = 2.0 K-factor

Benchmarks:

K > 1.0 = Viral growth
K = 0.5-1.0 = Strong referrals
K < 0.5 = Weak virality

B2B Metrics

Sales Efficiency

Win Rate

Win Rate = Deals Won / Total Opportunities

Target: 20-30% for new sales team, 30-40% mature

Sales Cycle Length Average days from opportunity to close

Shorter is better:

SMB: 30-60 days
Mid-market: 60-120 days
Enterprise: 120-270 days

Average Contract Value (ACV)

ACV = Total Contract Value / Contract Length (years)

Pipeline Metrics

Pipeline Coverage

Pipeline Coverage = Total Pipeline Value / Quota

Target: 3-5x coverage (3-5x pipeline needed to hit quota)

Conversion Rates by Stage:

Lead → Opportunity: 10-20%
Opportunity → Demo: 50-70%
Demo → Proposal: 30-50%
Proposal → Close: 20-40%

Metrics by Stage

Pre-Seed (Product-Market Fit)

Focus Metrics:

Active users growth
User retention (Day 7, Day 30)
Core engagement (sessions, features used)
Qualitative feedback (NPS, interviews)

Don't worry about:

Revenue (may be zero)
CAC (not optimizing yet)
Unit economics

Seed ($500K-$2M ARR)

Focus Metrics:

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

Start tracking:

Sales efficiency
Burn rate and runway

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

Focus Metrics:

ARR growth (3-5x YoY)
Unit economics (LTV:CAC > 3, payback < 18 months)
Net dollar retention (> 100%)
Burn multiple (< 2.0)
Magic number (> 0.5)

Mature tracking:

Rule of 40
Sales efficiency
Pipeline coverage

Metric Tracking Best Practices

Data Infrastructure

Requirements:

Single source of truth (analytics platform)
Real-time or daily updates
Automated calculations
Historical tracking

Tools:

Mixpanel, Amplitude (product analytics)
ChartMogul, Baremetrics (SaaS metrics)
Looker, Tableau (BI dashboards)

Reporting Cadence

Daily:

MRR, active users
Sign-ups, conversions

Weekly:

Growth rates
Retention cohorts
Sales pipeline

Monthly:

Full metric suite
Board reporting
Investor updates

Quarterly:

Trend analysis
Benchmarking
Strategy review

Common Mistakes

Mistake 1: Vanity Metrics Don't focus on:

Total users (without retention)
Page views (without engagement)
Downloads (without activation)

Focus on actionable metrics tied to value.

Mistake 2: Too Many Metrics Track 5-7 core metrics intensely, not 50 loosely.

Mistake 3: Ignoring Unit Economics CAC and LTV are critical even at seed stage.

Mistake 4: Not Segmenting Break down metrics by customer segment, channel, cohort.

Mistake 5: Gaming Metrics Optimize for real business outcomes, not dashboard numbers.

Investor Metrics

What VCs 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
Net dollar retention > 100%
Burn multiple < 2.0

Series B+:

Rule of 40 > 40%
Efficient growth (magic number)
Path to profitability
Market leadership metrics

Metric Presentation

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

Include:

Current value
Growth rate or trend
Context (target, benchmark)

Quick Start

To implement startup metrics framework:

Identify business model - SaaS, marketplace, consumer, B2B
Choose 5-7 core metrics - Based on stage and model
Establish tracking - Set up analytics and dashboards
Calculate unit economics - CAC, LTV, payback
Set targets - Use benchmarks for goals
Review regularly - Weekly for core metrics
Share with team - Align on goals and progress
Update investors - Monthly/quarterly reporting