ChartMogul
SaaS subscription analytics with automated MRR and churn tracking
Overview
Subscription analytics platform purpose-built for SaaS and recurring revenue businesses. Automatically calculates MRR, churn, LTV, and 30+ subscription metrics from billing data with cohort analysis and revenue recognition.
Ehsan's Growth Verdict
The source of truth for SaaS subscription metrics — if you have recurring revenue, this is non-negotiable
Best for: SaaS companies from pre-revenue to $50M ARR needing accurate subscription analytics for operations and investor reporting
Key Features
- ✓Automated MRR/ARR calculation
- ✓Churn analysis and cohort tracking
- ✓Customer lifetime value modeling
- ✓Revenue recognition
- ✓Billing platform integrations
Pros
- + Most accurate MRR calculation engine I have tested against manual spreadsheets
- + Free tier genuinely useful for pre-revenue through early revenue startups
- + Cohort analysis reveals churn patterns that aggregate metrics hide
Cons
- − Narrowly focused on subscription metrics — no product analytics
- − Expansion revenue attribution can be tricky with complex pricing
- − Limited predictive capabilities compared to Baremetrics Recover
Pricing
| Plan | Details |
|---|---|
| Free | Up to $10K MRR |
| Scale | $100/mo — up to $1M MRR |
| Volume | Custom — above $1M MRR |
Best Use Cases
Ehsan's Growth Take
Every SaaS founder builds an MRR spreadsheet. Every spreadsheet is wrong by month 6 — expansion, downgrades, and mid-cycle changes break manual tracking. ChartMogul automates the calculation correctly. The free tier up to $10K MRR means pre-seed companies have no excuse. I have seen it catch $50K/yr in revenue recognition errors at Series A companies.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council