fpa

Model LTV, CAC, payback, and cohort dynamics for SaaS unit economics.

2|Updated Mar 26, 2026

Search Tags:#saas #unit-economics #cohort-analysis #ltv #cac #fp&a #nrr

Ready to run

npx skills add https://github.com/tmcga/alpha-stack --skill fpa

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fpa
Source: https://github.com/tmcga/alpha-stack/tree/main/skills/fpa
Command: npx skills add https://github.com/tmcga/alpha-stack --skill fpa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This unit-economics framework provides a repeatable, bottom-up method to model and optimize profitability at the per-unit level for SaaS, ecommerce, marketplaces, and services.

Core Features & Use Cases

Build LTV, CAC, and payback calculations for multiple segments (SMB, Mid-Market, Enterprise) and across cohorts.
Run sensitivity analyses to test churn, expansion, price changes, and discount rates; project ARR, NRR, and gross margin trajectories.
Create cohort-based projections and scenario planning to guide GTM, pricing, and product decisions.

Quick Start

Provide a bottom-up unit-economics model and generate a cohort-based LTV/CAC analysis for your SaaS business.

Frequently Asked Questions about fpa

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

FAQPage Schema

How do I calculate LTV and CAC for different SaaS customer segments?▼

To calculate LTV and CAC for SaaS segments, you need a bottom-up unit-economics framework that models per-unit profitability across cohorts. This approach computes segment-level LTV, CAC, and payback periods by analyzing churn, expansion, and gross margin trajectories for groups like SMB, Mid-Market, and Enterprise.

What's the best way to run cohort analysis for SaaS unit economics?▼

Running cohort analysis for SaaS unit economics involves building cohort-based projections that track ARR, NRR, and gross margin over time. You group customers by acquisition period, then model their churn and expansion dynamics to project revenue trajectories and test sensitivity to pricing changes.

Can I model payback period and NRR for ecommerce and marketplace businesses?▼

Yes, you can model payback period and NRR for ecommerce and marketplace businesses using per-unit economics frameworks. These models apply to any business with per-unit profitability metrics, supporting cohort dynamics, segment-level LTV/CAC calculations, and scenario testing across different business models.

How do sensitivity analyses for churn and discount rates impact unit economics?▼

Sensitivity analyses test how variations in churn, expansion, price changes, and discount rates impact unit economics outcomes. By adjusting these base assumptions in your LTV and CAC models, you can project multiple ARR and gross margin scenarios to guide pricing, GTM, and product decisions.

Do I need historical ARR and churn data to build a bottom-up unit economics model?▼

You need base assumptions for churn, expansion, pricing, and discount rates to build a bottom-up unit economics model. Historical cohort data on ARR and NRR improves projection accuracy, but the framework supports scenario testing with assumed inputs to generate clear outputs for decision-making.