Best Analytics Tools for SaaS Businesses Using Stripe or Paddle

If your SaaS business bills through Stripe or Paddle, you already have all the data you need to understand your revenue - it's sitting in your payment processor right now. The question is how you get to it.

Stripe and Paddle are excellent at processing payments and managing subscriptions. Neither was designed to be your analytics platform. The moment you want to answer a specific question - which plan has the lowest churn, which country drives the most expansion revenue, how LTV has changed since your last price increase - you need a dedicated analytics layer on top.

This guide compares the best analytics tools available for Stripe and Paddle users in 2026, including what each does well, where each falls short, and which type of SaaS team each one suits.

What to Look For in a SaaS Analytics Tool

Before comparing tools, it helps to know what actually matters. The right analytics tool for a Stripe or Paddle-powered business should:

Calculate SaaS metrics accurately - MRR, ARR, churn rate, LTV, NRR, ARPU, expansion MRR. These require specific logic around trials, prorations, cancellations, and discounts. Not all tools handle them correctly.
Use invoice data, not subscription snapshots - Subscription-state MRR overstates revenue. Invoice-based MRR reflects what was actually billed and collected.
Let you ask your own questions - Standard dashboards cover standard questions. The insights that actually change decisions usually come from a specific question that no preset report answers.
Support your payment platform(s) - If you use Stripe, Paddle, or both, the tool needs to natively support them.
Make sharing easy - Founders, investors, and operators all need reports. Exporting or sharing dashboards should not require manual effort.

The Best Analytics Tools for Stripe and Paddle

1. Chartsy - Best for AI-Powered, Natural Language Analytics

Chartsy is built specifically for SaaS businesses that want to explore their revenue data without SQL or preset dashboards. It connects directly to Stripe and Paddle, calculates all core SaaS metrics from your actual invoice data, and lets you ask questions in plain English:

"What is my MRR growth rate for the last 6 months?" "Show churn by pricing plan." "Which customers have the highest LTV?"

Every question returns an instant chart with a plain-English summary. Charts can be saved to dashboards, and dashboards can be exported as PDF or shared directly with your team.

Key strengths:

Natural language interface - no SQL, no navigation through preset menus
Pre-calculated SaaS metrics: MRR, ARR, LTV, NRR, ARPU, churn rate, expansion MRR, cohort analysis
Supports both Stripe and Paddle in the same account
Invoice-based MRR calculation for accuracy
Dashboard PDF export and chart PNG download
Pricing from $19/month

Where it fits: Founders, operators, and finance leads who need fast, flexible answers from their subscription data without depending on a data team.

2. Baremetrics - Best for Clean Stripe Dashboards

Baremetrics is one of the most established Stripe analytics platforms. It surfaces MRR, ARR, churn, LTV, ARPU, and other core SaaS metrics in clean, well-designed dashboards that update automatically.

Its standout feature is the Open Startups program - the ability to make your metrics public through a branded metrics page. For transparency-first companies, this is a genuine differentiator.

Key strengths:

Polished, well-designed dashboards
Forecasting and scenario planning tools
Smart alerts and anomaly detection
Public metrics pages (Open Startups)

Limitations:

Stripe only - no Paddle support
Predefined dashboards with limited ability to ask custom questions
Starts around $99/month

Where it fits: Stripe-only SaaS companies that want the cleanest standard metrics dashboard and value strong design.

3. ChartMogul - Best for Multi-Source Consolidation

ChartMogul is a mature subscription analytics platform built for teams that need to combine data from multiple billing platforms. It supports Stripe, Paddle, Braintree, Recurly, and custom CSV imports.

Beyond standard SaaS metrics, ChartMogul offers deep cohort analysis, customer journey tracking, and CRM-style customer profiles.

Key strengths:

Multi-source support - consolidate Stripe, Paddle, and other platforms
Strong cohort analysis and retention reporting
Customer-level profiles with subscription history and tags
API for custom data ingestion

Limitations:

More complex to set up than simpler tools
Can reach $200–$500+/month at scale
No natural language interface

Where it fits: Mid-to-large SaaS teams with multiple billing platforms that need a unified analytics layer with deep customer segmentation.

4. Stripe's Native Dashboard - Best for Zero Cost

Stripe's built-in Dashboard is not an analytics product, but it covers a lot of ground for free. You get real-time revenue totals, subscription counts, payment failure rates, customer lists, and basic trend charts.

Key strengths:

Free - included with every Stripe account
Real-time data, no setup
Good for daily operational monitoring

Limitations:

No custom metrics or dashboards
No churn analysis, cohort analysis, or LTV
Stripe data only

Where it fits: Early-stage teams that just need basic payment visibility before investing in dedicated analytics.

5. Paddle's Built-In Analytics - Best for Native Paddle Users

For teams billing through Paddle, the platform includes built-in MRR and subscription analytics as part of the core product. Post-acquisition of ProfitWell, these analytics have been integrated into Paddle's dashboard.

Key strengths:

Zero setup for existing Paddle customers
Revenue recovery features (dunning, smart retries) alongside analytics
Handles multi-currency and tax compliance natively

Limitations:

Paddle data only
Limited dashboard customization
Stripe users lost significant parity post-ProfitWell acquisition

Where it fits: Companies that use Paddle exclusively and want native analytics without a third-party tool.

Comparison Table

Tool	Stripe	Paddle	Natural Language	Custom Questions	Starting Price
Chartsy	✓	✓	Yes	Yes - ask anything	$19/mo
Baremetrics	✓	✗	No	Limited	~$99/mo
ChartMogul	✓	✓	No	Limited	~$100/mo
Stripe Dashboard	✓	✗	No	No	Free
Paddle Analytics	✗	✓	No	No	Included with Paddle

How to Choose

If you use Stripe and Paddle together: Chartsy or ChartMogul are your only options that support both. Chartsy is faster to get answers from; ChartMogul goes deeper on cohort and CRM-style customer data.

If you use Stripe only: Baremetrics for design and simplicity; ChartMogul for depth; Chartsy for flexibility and natural language queries.

If you use Paddle only: Paddle's built-in analytics for zero setup; Chartsy if you want custom questions and AI-driven exploration.

If you're pre-revenue or very early-stage: Stripe's free dashboard is sufficient. Upgrade when you start asking questions it can't answer.

The Most Important Thing to Get Right: Metric Accuracy

Choosing a tool is only half the problem. The bigger issue is whether the tool calculates metrics correctly.

MRR, in particular, is frequently miscalculated. Common errors include:

Counting free trials as active subscriptions
Using subscription plan prices instead of invoiced amounts (ignoring discounts and prorations)
Keeping cancelled customers in MRR until their billing period expires
Not handling mid-cycle upgrades and downgrades correctly

Chartsy calculates all metrics from invoice records - the immutable source of what was actually billed - which eliminates these errors and gives you MRR you can trust for forecasting, investor reporting, and strategic decisions.

Frequently Asked Questions

What is the best analytics tool for Stripe? For natural language, flexible exploration: Chartsy. For clean preset dashboards with great design: Baremetrics. For multi-source consolidation: ChartMogul. For zero cost: Stripe's built-in dashboard.

Does any analytics tool work with both Stripe and Paddle? Yes - Chartsy and ChartMogul both support Stripe and Paddle. Chartsy additionally offers a natural language AI interface; ChartMogul offers deeper cohort and CRM-style customer data.

How is SaaS MRR calculated accurately? Accurate MRR uses paid invoice amounts, excludes trials and failed payments, applies all discounts and prorations, and recognises cancellations immediately rather than holding churned customers until their billing period ends. Tools that pull from subscription state rather than invoice history typically overstate revenue.

What SaaS metrics should I track beyond MRR? At minimum: churn rate, net revenue retention (NRR), LTV, ARPU, and expansion MRR. Together these tell you whether revenue growth is sustainable, where it's coming from, and how valuable each customer is over their lifetime.

Is Chartsy a ProfitWell alternative? Yes - Chartsy covers all the SaaS metrics ProfitWell provided, plus adds a natural language AI interface, supports both Stripe and Paddle, and allows fully custom dashboard building. Pricing starts at $19/month.

Connect your Stripe or Paddle account and start exploring your SaaS metrics with Chartsy →