saas-metrics

Analyzes SaaS revenue, churn, and cohort retention to compute LTV, CAC metrics.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/Logisoft-web/kiro-skills --skill saas-metrics-logisoft-web
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: saas-metrics
Source: https://github.com/Logisoft-web/kiro-skills/tree/main/saas-metrics
Command: npx skills add https://github.com/Logisoft-web/kiro-skills --skill saas-metrics-logisoft-web

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires stripe_metrics, chargebee_data, mixpanel_cohorts, spreadsheet_analysis, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps SaaS companies understand and optimize their key financial and customer metrics, enabling data-driven decision-making and investor reporting.

Core Features & Use Cases

  • Revenue analysis: Calculate MRR, ARR, and identify growth trends from subscription data.
  • Churn identification: Analyze customer retention to reduce revenue losses.
  • Unit economics: Derive LTV, CAC, and LTV:CAC ratio for sustainable growth.
  • Cohort tracking: Assess customer retention and revenue retention over time to inform retention strategies.
  • Use Case: A SaaS startup monitors monthly metrics to identify churn drivers and optimize customer acquisition costs, supporting growth and investor communication.

Quick Start

Input your SaaS revenue and customer data to compute real-time metrics and visualize growth and retention trends.

Frequently Asked Questions about saas-metrics

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

FAQPage Schema
How do I calculate SaaS churn and cohort retention for investor reporting?

SaaS churn and cohort retention calculations require analyzing subscription data to track customer drop-off and revenue retention over time. This Skill processes revenue and customer data to derive these metrics, ensuring accurate performance insights for investor communication.

What is the best way to calculate LTV and CAC for a SaaS business?

Calculating LTV and CAC for a SaaS business involves deriving unit economics from subscription and acquisition spend data. This Skill assesses these indicators to compute the LTV:CAC ratio, providing actionable insights for sustainable growth modeling.

How do I track MRR and ARR growth trends from subscription data?

Tracking MRR and ARR growth trends requires analyzing recurring revenue streams from subscription records. This Skill computes monthly and annual recurring revenue, identifying growth patterns directly from your integrated data sources.

Does this SaaS metrics analysis tool work with Stripe and Mixpanel data?

Yes, this SaaS metrics analysis tool integrates with Stripe, Chargebee, and Mixpanel data. It pulls subscription billing and cohort tracking information from these sources to ensure accurate calculation of financial and customer retention metrics.

Can I use spreadsheet analysis for SaaS unit economics if I don't have integrated data sources?

Yes, you can use spreadsheet analysis for SaaS unit economics by inputting exported revenue and customer data directly. This Skill processes spreadsheet inputs to calculate key indicators like LTV, CAC, and retention rates without requiring live API connections.

Why are my SaaS cohort retention metrics not accurately reflecting revenue losses?

SaaS cohort retention metrics may misrepresent revenue losses if churn tracking fails to account for downgrades or expansion revenue within cohorts. This Skill analyzes customer retention over time to accurately identify churn drivers and reduce revenue leakage.