Stripe processes the payment. It was never built to explain what's happening inside your subscription business - which plan is churning fastest, whether expansion revenue is offsetting downgrades, or how this month's MRR growth breaks down by new, upgraded, and reactivated customers. For that, you need a Stripe analytics tool sitting on top of your account.
This guide compares the best Stripe analytics tools in 2026 - what each one is actually good at, where it falls short, and which type of Stripe-powered business it fits.
What a Good Stripe Analytics Tool Should Do
Before comparing tools, it's worth being specific about what "Stripe analytics" should mean:
- Read from invoices, not subscription objects - Stripe's
subscription.plan.amountdoesn't reflect discounts, prorations, or partial refunds. Invoice-based MRR does. - Handle trials and failed payments correctly - Trials shouldn't count as revenue, and a failed charge shouldn't silently disappear from churn calculations.
- Break MRR movements down - New, expansion, contraction, reactivation, and churned MRR, not just a single net number.
- Let you ask a specific question - Preset dashboards answer generic questions. The decision-changing insight is usually a specific one.
- Be quick to connect - A Stripe OAuth connection should take minutes, with read-only access and no manual CSV exports.
The Best Stripe Analytics Tools
1. Chartsy - Best for AI-Powered, Natural Language Stripe Analytics
Chartsy connects to Stripe in a few minutes via read-only OAuth and immediately starts calculating MRR, ARR, churn, LTV, NRR, and ARPU from your actual invoice history. The core differentiator is ChartsyAI: instead of digging through a preset dashboard, you ask a question directly -
"What's my MRR growth rate for the last 6 months?" "Which plan has the highest churn?" "Show expansion MRR by month."
Each question returns a chart with a one-sentence, plain-English summary. Charts save to dashboards, dashboards export as PDF, and a Daily Briefing greets you each morning with a today-vs-yesterday snapshot.
Key strengths:
- Natural language interface - ask anything, no SQL or menu-diving
- Invoice-based MRR/ARR/churn/LTV/NRR/ARPU, calculated correctly out of the box
- MRR Breakdown Dashboard (new, expansion, contraction, reactivation, churned)
- Also supports Paddle and Paddle Classic, so you're not locked in if you ever add a second processor
- Weekly email report and shareable dashboard links
- Pricing from $29/month, 14-day trial, no card required
Where it fits: Stripe-billed SaaS founders and operators who want fast, specific answers without hiring a data analyst or writing SQL.
2. Baremetrics - Best for Clean, Preset Stripe Dashboards
Baremetrics is one of the longest-standing Stripe-native analytics tools. It pulls MRR, ARR, churn, LTV, and ARPU into polished dashboards that update automatically once connected.
Its standout feature is Open Startups - a public metrics page for companies that want to share their numbers transparently, plus built-in forecasting and anomaly alerts.
Key strengths:
- Strong visual design, easy to read at a glance
- Forecasting and scenario planning
- Smart alerts for unusual metric movements
- Public "build in public" metrics pages
Limitations:
- Stripe only - no path if you add Paddle or another processor later
- Dashboards are largely fixed; limited ability to ask a custom question
- Starts around $99/month
Where it fits: Stripe-only companies that want the cleanest out-of-the-box dashboard and don't need custom queries.
3. Stripe Sigma - Best for SQL Users Who Want Raw Access
Stripe Sigma is Stripe's own SQL query tool, built directly into the dashboard. It gives you SQL access to your raw Stripe data - customers, invoices, subscriptions, charges - so you can write exactly the query you need.
Key strengths:
- Native to Stripe, no third-party data connection required
- Full flexibility if you already know SQL
- Access to raw, granular data tables
Limitations:
- Requires SQL - no natural language or preset SaaS metrics
- No visual dashboards; results are tables you have to build charts from yourself
- $0.05 per query on Stripe's usage-based Sigma pricing, which adds up for teams that query often
- Stripe data only
Where it fits: Teams with an analyst who's comfortable writing and maintaining SQL against Stripe's schema. For a deeper look at what Sigma can and can't do, see What Is Stripe Sigma? Features, Pricing, Limitations.
4. ChartMogul - Best for Multi-Source Consolidation
ChartMogul is a mature subscription analytics platform that supports Stripe alongside Paddle, Braintree, Recurly, and custom imports. Beyond core metrics, it offers deep cohort analysis and CRM-style customer profiles with subscription history.
Key strengths:
- Multi-source support if you bill through more than one processor
- Strong cohort and retention reporting
- Customer-level profiles with tags and notes
Limitations:
- More setup overhead than simpler tools
- Can reach $200-$500+/month at scale
- No natural language interface
Where it fits: Mid-to-large teams that need to consolidate Stripe with other billing sources under one analytics layer.
5. Stripe's Native Dashboard - Best for Zero Cost
Stripe's built-in dashboard isn't an analytics product, but it's free and covers the basics: revenue totals, subscriber counts, payment failure rates, and simple trend charts.
Key strengths:
- Free with every Stripe account
- Real-time, zero setup
- Fine for daily operational monitoring
Limitations:
- No churn analysis, cohort analysis, LTV, or NRR
- No custom questions or saved dashboards
- Stripe data only, and doesn't explain why a number moved - see 10 Questions Your Stripe Dashboard Can't Answer About Churn
Where it fits: Very early-stage teams that just need basic payment visibility before investing in a dedicated tool.
Comparison Table
| Tool | Data Source | Natural Language | Custom Questions | Multi-Processor | Starting Price |
|---|---|---|---|---|---|
| Chartsy | Invoices | Yes | Yes - ask anything | Stripe + Paddle | $29/mo |
| Baremetrics | Invoices | No | Limited | Stripe only | ~$99/mo |
| Stripe Sigma | Raw SQL tables | No | Yes (via SQL) | Stripe only | Pay-per-query |
| ChartMogul | Invoices | No | Limited | Stripe + others | ~$100+/mo |
| Stripe Dashboard | Subscription state | No | No | Stripe only | Free |
How to Choose
If you want fast answers without SQL: Chartsy - connect Stripe, ask questions in plain English, get a chart and a summary.
If you want the cleanest preset dashboard and don't need custom queries: Baremetrics.
If you already have an analyst comfortable with SQL: Stripe Sigma gives raw access, but you'll be writing every query and building your own charts.
If you bill through more than just Stripe: Chartsy or ChartMogul - both consolidate Stripe with Paddle or other processors in one place.
If you're pre-revenue or just getting started: Stripe's free dashboard is enough for now. Upgrade once you find yourself asking a question it can't answer.
Why MRR Accuracy Matters More Than the Dashboard
Whichever tool you pick, the number underneath the chart matters more than how the chart looks. MRR is commonly miscalculated by tools (and spreadsheets) that:
- Count trialing subscriptions as revenue
- Use the subscription's list price instead of the invoiced amount, ignoring discounts and prorations
- Keep a cancelled customer in MRR until their current billing period ends
- Mishandle mid-cycle plan upgrades and downgrades
Chartsy calculates every metric from paid invoice records - the actual, immutable record of what was billed and collected - so the MRR you see is the MRR you can put in front of investors or your board. See How We Calculate MRR at Chartsy for the full methodology.
Frequently Asked Questions
What is the best analytics tool for Stripe? For natural language, flexible exploration: Chartsy. For a clean, preset dashboard: Baremetrics. For raw SQL access: Stripe Sigma. For consolidating multiple billing sources: ChartMogul.
Is Stripe Sigma the same as Stripe analytics? No. Sigma is a SQL query tool built into Stripe - it gives you raw data access, not calculated metrics, dashboards, or a natural language interface. You still have to write every query yourself.
Does Stripe's own dashboard show churn and LTV? No. Stripe's native dashboard shows revenue totals, subscriber counts, and payment failure rates, but has no churn rate, cohort analysis, LTV, or NRR calculations.
How much does a good Stripe analytics tool cost? Anywhere from free (Stripe's own dashboard) to $500+/month for enterprise-grade consolidation tools. Chartsy starts at $29/month with unlimited AI queries and unlimited seats.
Can I connect Stripe safely to a third-party analytics tool? Yes, if the tool uses read-only OAuth (never your Stripe secret key) and doesn't store unnecessary customer PII. See Is It Safe to Connect Stripe or Paddle to an Analytics Tool? for what read-only access actually means.
Connect Stripe and start exploring your revenue data with Chartsy →
Related reading: Best Analytics Tools for SaaS Businesses Using Stripe or Paddle · Chartsy vs. Stripe Sigma · 10 Questions Your Stripe Dashboard Can't Answer About Churn · Fixed Dashboards vs. AI-Built Custom Dashboards · How to Generate Charts from Your Stripe Data with AI

Written by
Chartsy TeamThe Chartsy Team writes guides, product updates, and resources to help SaaS and eCommerce founders make sense of their metrics, without SQL or spreadsheets.
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