saas-revenue-growth-metrics skill
Calculate SaaS revenue, retention, and growth metrics. Use when diagnosing momentum, churn, expansion, or product-market-fit signals.
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Install the saas-revenue-growth-metrics skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills mkdir -p ~/.claude/skills cp -r /tmp/Product-Manager-Skills/skills/saas-revenue-growth-metrics ~/.claude/skills/saas-revenue-growth-metrics
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Purpose
Master revenue and retention metrics to understand SaaS business momentum, evaluate product-market fit, and make data-driven decisions about growth investments. Use this to calculate key metrics, interpret trends, identify problems early, and communicate business health to stakeholders.
This is not a business intelligence tool—it's a framework for PMs to understand which metrics matter, how to calculate them correctly, and what actions to take based on the numbers.
Input
Works best with: The question you're answering (is growth healthy? is churn a fire?) or the metrics you want interpreted. Also useful: Your numbers — MRR/ARR, growth rate, GRR/NRR, expansion, cohort data — partial data is workable.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
Arriving empty-handed? That works too. Use it as a reference: read the metric sections relevant to your diagnosis.
Example invocation: Interpret these: $4M ARR, 8% MoM growth, GRR 88%, NRR 103% — is the growth masking a churn problem?
Key Concepts
Revenue Metrics Family
The "top-line" metrics that measure how much money the business generates.
Revenue — Total money earned from selling products/services before expenses. The "top line" of the income statement.
- Why PMs care: Every feature should connect to revenue (direct or indirect). If you can't articulate revenue impact, prioritization becomes impossible.
- Formula: Sum of all customer payments in a period
- Benchmark: Growth rate matters more than absolute number (context-dependent by stage)
ARPU (Average Revenue Per User) — Average revenue generated per individual user.
- Why PMs care: Measures per-seat monetization effectiveness. Critical for seat-based pricing models.
- Formula: Total Revenue / Total Users
- Benchmark: Varies by model; track trend more than absolute value
- B2C SaaS: $5-50/month typical; B2B: $50-500+/month
ARPA (Average Revenue Per Account) — Average revenue generated per customer account.
- Why PMs care: Measures account-level deal size. Critical for account-based pricing models.
- Formula: MRR / Active Accounts
- Benchmark: SMB SaaS: $100-$1K/month; Mid-market: $1K-$10K; Enterprise: $10K+
ARPA/ARPU Analysis — Using both metrics together to understand monetization.
- Why PMs care: Prevents packaging mistakes. High ARPA + low ARPU = undermonetized per seat. Low ARPA + high ARPU = small deal sizes.
- Example: $10K ARPA with 100 seats = $100 ARPU (reasonable). $10K ARPA with 1,000 seats = $10 ARPU (leaving money on table).
ACV (Annual Contract Value) — Annualized recurring revenue per contract (excludes one-time fees).
- Why PMs care: Compares economics across different contract structures. Enables sales compensation design and segment analysis.
- Formula: Annual Recurring Revenue per Contract (don't include setup fees, professional services)
- Benchmark: SMB: $5K-$25K; Mid-market: $25K-$100K; Enterprise: $100K+
MRR/ARR (Monthly/Annual Recurring Revenue) — Predictable recurring revenue normalized to monthly or annual.
- Why PMs care: The heartbeat of subscription businesses. Valued at 5-10x+ multiples. Track components (new, expansion, churn).
- Formula: MRR = Sum of all recurring subscription revenue per month; ARR = MRR × 12
- Benchmark: Growth rate and quality matter; track new MRR, expansion MRR, churned MRR, contracted MRR
Gross vs. Net Revenue — Gross revenue before vs. net revenue after discounts, refunds, credits.
- Why PMs care: Discounts and refunds can hide bad acquisition quality or product problems.
- Formula: Net Revenue = Gross Revenue - Discounts - Refunds - Credits
- Benchmark: Refunds >10% is a red flag; track by acquisition channel
Retention & Expansion Metrics Family
Metrics that measure how well you keep and grow existing customers.
Churn Rate — Percentage of customers who cancel in a period.
- Why PMs care: Silent killer of SaaS. Undermines all acquisition efforts. 5% monthly churn = 46% annual churn (compounding).
- Formula: Customers Lost in Period / Starting Customers
- Benchmark (Monthly): <2% great, 2-5% acceptable, >5% crisis
- Benchmark (Annual): <10% great, 10-30% acceptable, >30% crisis
- Note: Logo churn (customer count) differs from revenue churn (dollar amount)
NRR (Net Revenue Retention) — Revenue retention from existing customers including expansion and contraction.
- Why PMs care: The holy grail metric. NRR >100% means you grow without new logos. Highly valued by investors.
- Formula: (Starting ARR + Expansion - Churn - Contraction) / Starting ARR × 100
- Benchmark: >120% excellent, 100-120% good, 90-100% acceptable, <90% problem
- Example: Start with $1M ARR, add $300K expansion, lose $100K to churn = $1.2M / $1M = 120% NRR
Expansion Revenue — Additional revenue from existing customers (upsells, cross-sells, usage growth).
- Why PMs care: Most capital-efficient revenue (no CAC). Should drive NRR >100%.
- Formula: Sum of upsells + cross-sells + usage increases from existing customers
- Benchmark: Should represent 20-30% of total revenue; drives NRR >100%
Quick Ratio (SaaS) — Revenue gains vs. revenue losses.
- Why PMs care: Shows if you're building on solid ground or running on a treadmill.
- Formula: (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
- Benchmark: >4 excellent, 2-4 healthy, <2 leaky bucket
Analysis Frameworks
Revenue Mix Analysis — Breakdown of revenue by product, segment, or channel.
- Why PMs care: Identifies which products fund the business and where to invest. Reveals concentration risk.
- Formula: Product/Segment Revenue / Total Revenue × 100
- Benchmark: No single product >60% ideal; diversification reduces risk
Cohort Analysis — Group customers by join date and track behavior over time.
- Why PMs care: Blended metrics hide critical trends. Shows whether business is improving or degrading.
- Method: Track retention, expansion, and LTV by cohort (e.g., "Jan 2024 cohort")
- Benchmark: Recent cohorts should perform same or better than old cohorts
Anti-Patterns (What This Is NOT)
- Not profit metrics: Revenue is top-line, not bottom-line. High revenue with negative margins is a disaster.
- Not vanity metrics: Total revenue growth means nothing if driven by unsustainable discounting or margin-destroying deals.
- Not blended averages: ARPU that averages $10 SMB and $1,000 enterprise customers hides segment economics.
- Not isolated numbers: Churn rate alone doesn't tell the story—need to see cohort trends and NRR.
When to Use These Metrics
Use these when:
- Evaluating overall business health and product-market fit
- Comparing performance across time periods or cohorts
- Prioritizing features with direct monetization paths (ARPU impact, expansion enablers)
- Communicating with leadership, board, or investors
- Assessing retention problems (churn analysis, cohort degradation)
- Measuring pricing or packaging changes (ARPU/ARPA shifts)
Don't use these when:
- Evaluating profitability (use margin metrics instead)
- Assessing capital efficiency (use LTV:CAC, payback period)
- Making product investment decisions without cost context (revenue alone isn't ROI)
- Comparing across wildly different business models without normalization
Application
Step 1: Calculate Revenue Metrics
Use the templates in template.md to calculate your core revenue metrics.
Revenue
Revenue = Sum of all customer payments in periodExample:
- Month 1 payments: $100,000
- Revenue = $100,000
Quality checks:
- Is this gross or net revenue? (Clarify if discounts/refunds are included)
- Is revenue growing cohort-over-cohort, or just from new customer adds?
- What's the revenue growth rate vs. headcount/cost growth rate?
ARPU (Average Revenue Per User)
ARPU = Total Revenue / Total UsersExample:
- Total Revenue: $100,000/month
- Total Users: 2,000
- ARPU = $100,000 / 2,000 = $50/user/month
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