Saas Revenue Growth Metrics
Tracks key SaaS revenue growth metrics (MRR, ARR, churn) to identify trends and optimize your business strategy for sustainable expansion.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add saas-revenue-growth-metrics npx -- -y @trustedskills/saas-revenue-growth-metrics
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"saas-revenue-growth-metrics": {
"command": "npx",
"args": [
"-y",
"@trustedskills/saas-revenue-growth-metrics"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides analysis and insights into SaaS revenue growth metrics. It can calculate key performance indicators (KPIs) like Monthly Recurring Revenue (MRR), Customer Acquisition Cost (CAC), Lifetime Value (LTV), and churn rate, allowing for a data-driven understanding of business performance. The skill also facilitates comparisons against industry benchmarks to identify areas for improvement.
When to use it
- Performance Review: Analyze current MRR, ARR, and churn rates to understand the health of your SaaS business.
- Investment Pitch: Quickly calculate LTV/CAC ratio to demonstrate potential ROI to investors.
- Strategic Planning: Identify trends in customer acquisition cost or lifetime value to inform pricing or marketing strategies.
- Benchmarking: Compare key metrics against industry averages to pinpoint areas where your SaaS is outperforming or underperforming.
Key capabilities
- MRR Calculation
- ARR Calculation
- Churn Rate Analysis
- LTV/CAC Ratio Calculation
- Industry Benchmark Comparisons
Example prompts
- "Calculate our MRR for the last quarter, given these customer subscription details."
- "What is our LTV to CAC ratio based on this data?"
- "Compare our churn rate to the industry average for SaaS companies in the marketing space."
Tips & gotchas
- The skill requires accurate and detailed financial data regarding subscriptions, costs, and customer lifetime. Inaccurate input will lead to inaccurate results.
Tags
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