business-metrics-calculator

Calculate MRR, ARR, churn, LTV, and CAC across business models.

351|70|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill business-metrics-calculator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: business-metrics-calculator
Source: https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/business-metrics-calculator
Command: npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill business-metrics-calculator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill computes standardized business KPIs across SaaS, e-commerce, and product analytics, enabling consistent performance measurement and benchmarking.

Core Features & Use Cases

  • Compute core metrics: MRR, ARR, churn, LTV, CAC, ARPU, and retention trends for SaaS and non-SaaS models.
  • Support cohort analysis, segmentation, and benchmark comparisons to inform growth decisions.
  • Deliver end-to-end unit economics (payback period, Magic Number, Rule of 40) and dashboard-ready insights.

Quick Start

Calculate standard business metrics with proper definitions, validate calculations against industry standards, and provide context with benchmarks.

Frequently Asked Questions about business-metrics-calculator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate SaaS metrics like MRR, churn, and LTV across different business models?

You can calculate MRR, ARR, churn, LTV, and CAC by providing explicit metric definitions and underlying data. The Skill processes these inputs to deliver standardized KPI calculations and unit economics like payback period and Rule of 40.

What data do I need to calculate CAC and LTV for cohort analysis?

You need time-period and segmentation inputs, underlying business data, and optional marketing spend data to calculate CAC and LTV. This enables cohort analysis, retention trend tracking, and accurate unit economics calculations.

Can I benchmark my e-commerce retention trends against SaaS industry standards?

Yes, you can benchmark e-commerce retention trends against industry standards. The Skill applies cohort analysis and segmentation to compare performance benchmarks across SaaS, e-commerce, and product analytics models.

Does this approach work for calculating unit economics like the Rule of 40 and Magic Number?

Yes, this approach works for calculating unit economics like the Rule of 40 and Magic Number. It delivers end-to-end unit economics and dashboard-ready insights using your provided metric definitions and underlying business data.

Why do my KPI calculations require explicit metric definitions before processing?

KPI calculations require explicit metric definitions to ensure standardized performance measurement across SaaS and e-commerce models. Providing clear definitions alongside time-period and segmentation inputs guarantees accurate benchmarking and data-driven decision support.