financial-analysis

Compute SaaS metrics like MRR, ARR, LTV, CAC, churn, and NRR.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/trevorc-ai/PPN-Antigravity-1.0 --skill financial-analysis-trevorc-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: financial-analysis
Source: https://github.com/trevorc-ai/PPN-Antigravity-1.0/tree/main/_ARCHIVE/skills_standby/financial-analysis
Command: npx skills add https://github.com/trevorc-ai/PPN-Antigravity-1.0 --skill financial-analysis-trevorc-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ANALYST-owned skill for computing, interpreting, and communicating PPN's financial performance metrics. Covers SaaS unit economics (MRR, ARR, LTV, CAC, churn, NRR), cohort-level revenue analysis, pricing model stress testing, market sizing, and investor-grade KPI dashboards. Use when any financial question, revenue forecast, pricing decision, or business case needs analytical rigor.

Core Features & Use Cases

  • PPN SaaS metrics stack: computes MRR, ARR, LTV, CAC, churn, and NRR across cohorts; supports scenario planning and pricing analysis.
  • Cohort analysis & revenue model: tracks cohort MRR and retention; models improvements and expansion effects; provides investor-grade dashboards.
  • Pricing & market sizing: stress-tests pricing changes, bottom-up TAM/SAM/SOM; creates market opportunity scenarios for investors.

Quick Start

Execute the skill on a subscription dataset to generate the core KPIs and dashboards needed for SaaS financial analysis.

Frequently Asked Questions about financial-analysis

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

FAQPage Schema
How do I calculate SaaS metrics like MRR, ARR, and churn from subscription data?▼

SaaS metrics calculation processes subscription datasets to compute MRR, ARR, LTV, CAC, churn, and NRR. It applies cohort-level revenue tracking and retention modeling to generate investor-grade KPI dashboards for financial analysis.

What is the best way to perform cohort analysis for SaaS revenue retention?▼

Cohort analysis for SaaS revenue retention tracks cohort MRR and retention rates over time. It models improvements and expansion effects across cohorts to provide investor-grade dashboards for financial decision-making.

How do I stress test pricing models and perform bottom-up market sizing for investors?▼

Pricing model stress testing and bottom-up market sizing evaluates pricing changes and calculates TAM, SAM, and SOM scenarios. It creates market opportunity scenarios to support investor-grade financial analysis and strategic decisions.

Can I use SaaS financial analysis for scenario planning and revenue forecasting?▼

Yes, SaaS financial analysis supports scenario planning and revenue forecasting by computing unit economics like LTV and CAC. It models cohort retention and applies stress testing to generate investor-grade KPI dashboards.

Does SaaS financial analysis require a specific data format to compute unit economics?▼

SaaS financial analysis requires a subscription dataset to execute and compute unit economics. Processing this dataset generates core KPIs including MRR, ARR, LTV, CAC, churn, and NRR for cohort-level dashboards.