What if I only have partial business data?

The skill is designed to work with partial data, making explicit assumptions where needed and asking focused follow-up questions for the most impactful missing inputs.

Can it help with future business planning?

Absolutely. It includes a unit economics simulator that can project your metrics 12 months forward based on your growth and churn assumptions.

Does it provide industry benchmarks?

Yes, it benchmarks your numbers against standard ranges for Enterprise, Mid-Market, SMB, and PLG segments across Early, Growth, and Scale stages.

What metrics can the SaaS Metrics Coach calculate?

It calculates all core SaaS KPIs including ARR, MRR growth %, churn rate, CAC, LTV, LTV:CAC ratio, payback period, NRR, and Quick Ratio.

SaaS Metrics Coach

Name: SaaS Metrics Coach
Author: alirezarezvani

byalirezarezvani

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9,958

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분석 및 모니터링

Analyzes SaaS financial health by calculating key performance indicators like ARR, churn, and LTV to provide actionable business advice.

SaaS Metrics Coach acts as a senior virtual CFO, transforming raw business data into comprehensive financial health reports. By processing inputs such as MRR, customer counts, and marketing spend, the skill calculates vital SaaS metrics, benchmarks them against industry standards tailored to your company stage (Early, Growth, or Scale), and flags critical issues. It provides structured 90-day focus plans and uses specialized Python scripts for unit economics simulations and growth efficiency analysis, making it an essential tool for founders and operators seeking data-driven decision-making within their development environment.

주요 기능

019,958 GitHub stars

02Priority-based health reports with actionable recommendations for critical metrics.

03Quick Ratio and Unit Economics simulation for forward-looking 12-month projections.

04Interactive feedback loops to identify missing data and refine business assumptions.

05Industry benchmarking across Enterprise, Mid-Market, SMB, and PLG segments.

06Automated calculation of ARR, MRR growth, churn rate, LTV, and CAC.

사용 사례

01Simulating revenue projections based on varying growth and churn scenarios.

02Preparing financial health reports for board meetings or investor updates.

03Diagnosing growth efficiency issues via LTV:CAC and Quick Ratio analysis.

주요 기능

019,958 GitHub stars

02Priority-based health reports with actionable recommendations for critical metrics.

03Quick Ratio and Unit Economics simulation for forward-looking 12-month projections.

04Interactive feedback loops to identify missing data and refine business assumptions.

05Industry benchmarking across Enterprise, Mid-Market, SMB, and PLG segments.

06Automated calculation of ARR, MRR growth, churn rate, LTV, and CAC.

사용 사례

01Simulating revenue projections based on varying growth and churn scenarios.

02Preparing financial health reports for board meetings or investor updates.

03Diagnosing growth efficiency issues via LTV:CAC and Quick Ratio analysis.