SaaS Metrics Dashboard
Interactive dashboard tracking ARR/MRR, churn, CAC/LTV, cohort retention, and cash runway — built with Python and Streamlit using synthetic SaaS data.
Problem
SaaS companies need real-time visibility into their key financial metrics — revenue growth, unit economics, retention, and cash position — to make informed decisions about capital allocation and growth strategy.
Approach
Designed a dashboard architecture with synthetic data generation that mirrors real SaaS patterns. Built interactive Plotly visualizations for each metric category with scenario planning controls that let users adjust growth and churn assumptions to model outcomes.
Outcome
A production-quality dashboard demonstrating end-to-end SaaS financial analytics — from data modeling through interactive visualization and scenario planning.
Details
Built a fully interactive financial dashboard that visualizes key SaaS metrics including Monthly and Annual Recurring Revenue, customer churn rates, unit economics (CAC vs LTV), and cash runway projections.
Includes a cohort retention heatmap showing customer retention patterns by signup month, with scenario controls to model different growth and churn assumptions in real time.
Uses synthetic data that mirrors real SaaS business patterns, demonstrating the kind of KPI tracking and board-level reporting I built at AVbuilder.