saas-metrics

The 'saas-metrics' skill provides a comprehensive framework for analyzing key SaaS business metrics, offering insights that help SaaS founders, finance teams, and investors understand the financial health and growth of a subscription-based business. It solves the common challenge of tracking and interpreting complex metrics like MRR (Monthly Recurring Revenue), ARR (Annual Recurring Revenue), churn rates, LTV (Lifetime Value), CAC (Customer Acquisition Cost), and cohort performance. By automating calculations and providing structured reporting, this skill reduces the manual effort required to extract actionable insights from subscription data.

This skill includes core capabilities such as MRR and ARR calculation, churn and retention analysis, LTV and CAC computation, cohort tracking, and investor-ready reporting. It supports both English and Chinese languages, integrates with analytics tools like Stripe, Chargebee, Mixpanel, and spreadsheet-based analysis, and is compatible with advanced AI models including Claude Sonnet 4, Claude Opus 4, and GPT-4 variants. The skill's structured framework ensures consistent computation of metrics, visual MRR waterfalls, churn benchmarks, and cohort analysis templates, allowing teams to maintain accurate and comparable financial data.

Typical use cases include evaluating monthly and annual revenue performance, monitoring customer retention and churn trends, calculating unit economics, performing cohort-based forecasting, and preparing reports suitable for investors or internal stakeholders. Target users are SaaS founders, financial analysts, data teams, and investors seeking an integrated and reliable approach to understanding SaaS business dynamics and making informed strategic decisions.