Best Stripe Analytics Platforms: 8 Compared for 2026

Most guides to the best Stripe analytics platforms open the same way. They tell you Stripe's reporting cannot do churn analysis, cohorts, lifetime value or net revenue retention, then sell you a replacement. Stripe's documentation contradicts that.

Getting this right changes the question. You are not shopping for a dashboard to fill a void. You are deciding which Stripe reporting boundary you have hit, and only four are worth crossing.

This comparison covers eight platforms. Four are Stripe's own, including two no competing article for this query mentions. Four are third-party tools, each assessed on the boundary it removes. Sections run by buyer segment, smallest first, and the order is not a ranking.

Key Takeaways

• Stripe Billing analytics natively reports MRR growth split into new, expansion, contraction, churn, reactivation and FX adjustment, plus churn rate, churned revenue, ARPU, subscriber LTV and cohort retention. Every ranking article for this query says it reports none of that.
• Stripe's documented limits are narrower than competitors describe. Metered products are excluded from MRR, Explore filtering covers only Product or Price, and metric changes take 24 to 48 hours.
• Four things justify buying a third-party Stripe analytics platform: consolidating outside revenue, tracking usage-based revenue as a metric, recovering failed payments beyond Stripe Billing, and warehouse modelling.
• Stripe Data Pipeline is the missing entry in this category. It syncs Stripe data into Snowflake, Redshift, BigQuery or Databricks with no ETL vendor and bundles Sigma, but ships raw data three-hourly.
• Free subscription analytics carries a reconciliation cost. ProfitWell Metrics is free, but Paddle counts churn at period end while Stripe counts it at cancellation, so they never tie out.
• Pricing verified September 18, 2026: ProfitWell Metrics free, Putler from $20/month, Baremetrics from $75/month, ChartMogul free under $120K ARR then $1,188/year, Stripe's data products tiered by charge volume.

How we evaluated these Stripe analytics platforms

Every platform was judged on the same four questions. Which Stripe reporting gap does it close? Is its pricing published and datable? Are its limitations documented by the vendor rather than inferred from review sites? And is a Stripe account on its own enough to make the product useful?

Pricing and limitations were verified against each vendor's own pricing page or product documentation on September 18, 2026. Where a pricing page renders in local currency rather than US dollars, the pricing structure is published here and the dollar figure is left out.

Three products considered for this article were excluded. Chartsy publishes no plan prices, so no starting price could be recorded with a date. StripeReport and Mowt could not be corroborated beyond their own marketing, and a platform that nobody independent has ever checked does not belong in a comparison like this one.

What Stripe's own analytics already cover in 2026

Stripe Billing analytics is more capable than this category credits. Stripe's subscription analytics documentation, checked on September 18, 2026, describes MRR decomposition, churn rate, churned revenue, ARPU, subscriber lifetime value, trial conversion and cohort retention, all inside the Dashboard with nothing else attached.

Per Stripe's Billing analytics documentation, the Dashboard natively produces:

• MRR growth decomposed into new, expansion, contraction, churn, reactivation and FX adjustment
• Subscriber churn rate and churned revenue
• ARPU, and subscriber lifetime value calculated as ARPU divided by churn rate
• New trials and trial conversion rate
• Retention by cohort, for subscriber retention and revenue retention, which Stripe notes can exceed 100%

The NRR claim is the one to be precise about. Stripe does not publish a headline net revenue retention figure. It does publish revenue retention by cohort that can rise above 100%, which is not one number and is a long way from nothing.

MRR treatment is configurable too. You choose whether discounts are subtracted, and whether a subscriber counts as active at subscription start or at first payment.

Where Stripe's first-party stack stops: four gaps worth paying to close

Stripe's boundaries are documented as well, and they are far more specific than the sweeping claims made about them. Some are quirks you work around once you know they exist. Four are structural, cost money to close, and are the only honest reasons to add a vendor.

From Stripe's analytics documentation, as of September 18, 2026:

• MRR excludes taxes, free-plan subscribers and metered products. Usage MRR is a preview programme you request by email.
• Explore filtering and grouping is limited to Product or Price, and is unavailable if you process subscription volume in more than one currency.
• Changes to metric definitions take 24 to 48 hours to appear.
• Receivable ageing for a past reporting date requires Stripe Revenue Recognition.
• Stripe data only. No second billing provider, no CRM, no revenue from elsewhere.

Those collapse into four buying gaps, and every platform below is assessed on which one it closes:

1. Multi-source consolidation. Revenue arriving outside Stripe that must read as one business.
2. Usage-based revenue as a tracked metric rather than an exclusion from MRR.
3. Failed-payment recovery beyond Stripe Billing, which ships Smart Retries plus up to three recovery and retention automations, per Stripe Billing pricing.
4. Warehouse-grade modelling. Your own metric definitions, joined to data Stripe never sees.

Stripe analytics platforms at a glance

These eight platforms are ordered by the buyer each one suits, starting with the smallest. The price column reflects what each vendor published on September 18, 2026, and the limitation column reflects what each vendor documents itself, not what reviewers report about it.

Stripe Billing analytics

Stripe Billing analytics is the subscription reporting built into the Stripe Dashboard for any business running Stripe Billing. It calculates metrics from live Stripe data with nothing to install and nothing to sync, and it is the right starting point when all revenue flows through Stripe.

What it does well

It decomposes MRR growth into new, expansion, contraction, churn, reactivation and FX adjustment, then reports churn rate, churned revenue, ARPU and subscriber LTV.

Pros

• Covers churn rate, ARPU, subscriber LTV, trial conversion and cohort retention, per Stripe's docs.
• MRR is configurable: discounts subtracted or not, subscriber active at start or first payment.
• CSV exports cover MRR per subscriber per month, with no extra vendor and no sync lag.

Cons

• MRR excludes taxes, free-plan subscribers and metered products, with usage MRR still a request-only preview.
• Explore filtering covers only Product or Price, and switches off across currencies.
• Metric definition changes take 24 to 48 hours.
• Stripe data only, with no path to a second billing source.

Pricing

Included with Stripe Billing: 0.7% of billing volume pay-as-you-go, or a fixed monthly fee with 0.67% above the cap, per Stripe Billing pricing as of September 18, 2026.

Best for

Businesses running entirely on Stripe Billing, whose question is what happened to MRR last month.

ProfitWell Metrics by Paddle

ProfitWell Metrics is Paddle's free subscription analytics product. It connects to Stripe and returns MRR, churn, customer lifetime value, upgrades, downgrades and cohort reports at no cost, benchmarked against a large panel of subscription companies. It is the zero-budget option here.

What it does well

Beyond core metrics it adds customer health scores, activity monitoring and revenue per customer. It also reads Chargebee, Braintree, Zuora and Recurly, partly closing the consolidation gap at no cost.

Pros

• Free, and used by over 30,000 companies, per Paddle.
• Benchmarks your metrics against a panel of more than 30,000 subscription companies.
• Delivers metrics into Slack, HubSpot, Intercom and Salesforce with no pipeline to maintain.

Cons

• Dashboards update every three to six hours, per Paddle's developer documentation.
• Paddle counts a customer as churned when the paid period ends, not at cancellation, so its churn and MRR will not reconcile with Stripe Billing analytics.
• Owned by Paddle, a merchant of record that competes with Stripe, which matters strategically for a Stripe-only business.

Pricing

Free, as of September 18, 2026, per Paddle's ProfitWell Metrics page.

Best for

Founders who need defensible MRR and churn with no budget line, and accept numbers that will not tie out to Stripe.

Stripe Sigma

Stripe Sigma is an interactive SQL environment inside the Stripe Dashboard, running read-only across the Stripe data model of payments, subscriptions, customers and payouts. An AI assistant turns a plain-English question into the query, so it is not only for engineers.

What it does well

You can save queries, schedule recurring reports to inboxes, publish them into the Dashboard, and group them into metric groups.

Pros

• Read-only SQL over Stripe data without moving anything out, per Stripe's data docs.
• An AI assistant writes the query from plain English.
• Free and unlimited in sandboxes, where usage does not count toward your entitlement.

Cons

• Sigma templates filter in UTC while Dashboard reports use local time, and Sigma's date range excludes the end date the Dashboard includes, so the same range disagrees.
• A maximum of 20 reports across all metric groups, editable only by the group's author.
• It returns raw data, not normalised metrics. MRR movement, cohort retention and NRR are yours to build.

Pricing

Usage-based, tiered by monthly charge volume, with breakpoints at 250, 2,500, 10,000 and 25,000+ charges, a per-charge overage and a 30-day trial, per Sigma pricing, as of September 18, 2026.

Best for

Teams with a SQL-capable person and questions the Dashboard cannot answer, who would rather query Stripe than reconcile another tool.

Baremetrics

Baremetrics is a subscription analytics platform reading Stripe and eleven other billing and accounting sources, turning them into MRR, churn, LTV, forecasting and segmentation. Baremetrics publishes this article and is assessed on the same criteria, so the cons below are the part worth reading closely.

What it does well

It handles Stripe usage-based billing as a first-class case. Per Baremetrics' help centre, metered billing is excluded from MRR by default, can optionally be included, and is tracked as a separate Usage Revenue metric. As of September 2026 the team is actively working on a combined revenue metric that allows users to toggle Usage, One Off and Recurring Revenue on the one graph

Pros

• Tracks Stripe metered revenue as Usage Revenue, where Stripe Billing analytics excludes it from MRR entirely.
• Twelve integrations, so Stripe plus App Store Connect, Google Play and Xero share one model. Users can toggle between organisations or segment their connections seamlessly
• Payment Recovery and Cancellation Insights go past Stripe's retries, the practical side of dunning management. ROI guarantee on Recover ensures users will never pay a cent if they don't recover lost revenue.
• Forecast+ allows for powerful scenarios and revenue modelling

Cons

• Metrics update every two hours on average per Baremetrics' help centre, with longer delays during API latency. This is however offset by the live feed which can be synced with Slack, often showing subscripton events before they even appear in Stripe.
• Full usage-based billing support is Stripe-only. On Braintree, Chargebee and Xero, usage lands as Other Revenue (coming soon).
• The Launch tier includes a single integration.
• Payment Recovery and Cancellation Insights cost $129/month each with an ROI guarantee.

Pricing

Launch $49/month to $360K ARR (they do have a free tier for new startups), Growth $255/month to $3.6M ARR, Scale $1,152/month above, per Baremetrics pricing with the annual discount, as of September 18, 2026.

Best for

Mid-market Stripe businesses with metered or hybrid pricing, where leaving usage revenue out of MRR distorts things. Also for businesses that may be expnding into new territories and need to layer Stripe with Google, Apple or any other subscription management platform. Try for free.

ChartMogul

ChartMogul normalises several billing sources into a single revenue model, with five sources on Pro and fifteen on Enterprise, and unlimited team members on both plans. It is the answer when Stripe is one of several places revenue arrives rather than the only one.

What it does well

It pushes into warehouses including Snowflake and BigQuery, and pulls CRM context from HubSpot and Segment. Our guide gives a closer look at ChartMogul's features and limitations.

Pros

• Up to 15 billing sources in one model, per ChartMogul pricing.
• Unlimited team members on both paid plans.
• Warehouse destinations, webhooks and CSV export on both plans.

Cons

• Invoices import at 2,000 per customer maximum, per ChartMogul's Stripe docs, truncating long histories.
• Subscription events from before you added Stripe are not tracked, and the environment is then fixed.
• Paused subscriptions have no native support, and keep contributing MRR as past due.
• Paid plans are billed annually, so there is no monthly escape hatch.

Pricing

A free tier under $120K ARR on request. Pro runs $1,188 to $14,388 per year billed annually, scaling with ARR to $10M, and Enterprise from $19,900, as of September 18, 2026. The Starter tier other listicles quote is gone.

Best for

Teams whose revenue arrives through Stripe and another provider, and who need one revenue model.

Stripe Data Pipeline

Stripe Data Pipeline is Stripe's own managed route into a data warehouse. It sends all Stripe data and reports into Snowflake, Redshift, BigQuery or Databricks, or into Amazon S3, Google Cloud Storage or Azure Blob Storage, with no ETL vendor.

Pros

• No-code managed sync with no ETL vendor and no pipeline to maintain, per Stripe.
• Stripe Sigma access is included, so ad-hoc SQL and warehouse delivery share a bill.
• Seven warehouse and cloud-storage destinations.

Cons

• Not real time. The initial load takes up to six hours and new data refreshes three-hourly.
• It delivers raw Stripe data and reports, not calculated SaaS metrics. MRR movement, cohort retention and NRR must still be modelled and visualised elsewhere.
• It requires a supported warehouse destination, with no standalone mode.

Pricing

Usage-based, tiered by monthly charge volume with a per-charge overage, breakpoints at 1,000, 2,500, 10,000 and 25,000+ charges, plus a 30-day trial, per Data Pipeline pricing, as of September 18, 2026.

Best for

Teams already running a warehouse and a BI tool. Our guide on whether to build your own SaaS metrics dashboard or buy one covers this.

Stripe Revenue Recognition

Stripe Revenue Recognition produces ASC 606 and IFRS 15 compliant accrual accounting inside Stripe. It generates income statements, balance sheets, revenue waterfall charts showing booked against recognised revenue, trial balances, journal entry summaries and receivable ageing for past reporting dates.

What it does well

It answers the finance question the metrics tools deliberately do not: what revenue you may recognise, and when. Non-Stripe transactions import by CSV.

Pros

• ASC 606 and IFRS 15 output from billing data, per Stripe Revenue Recognition.
• Handles 15+ pricing models including usage-based and hybrid, with prorations and refunds.
• Produces receivable ageing for a past reporting date, which Billing analytics cannot.

Cons

• It produces accounting output, not operating metrics. There is no MRR movement breakdown and no cohort retention, so it replaces nothing above.
• Non-Stripe revenue arrives only by CSV or the app store connectors.
• It is priced on recognised revenue volume, so cost scales with the business regardless of usage.

Pricing

Usage-based, tiered by monthly recognised revenue, plus 0.25% above the lowest tier and 0.2% above every other tier, with a 30-day trial, per Revenue Recognition pricing as of September 18, 2026.

Best for

Finance teams closing books under ASC 606. For the alternative, see how Stripe compares with Maxio for billing and revenue recognition.

Putler

Putler pulls Stripe together with PayPal, Braintree, WooCommerce, Shopify, BigCommerce, eBay and Etsy into one view, with deduplication and currency handling. It suits a Stripe account carrying both recurring and one-off revenue, which the rest of this list is not built around.

What it does well

It reads a mixed Stripe balance as one business rather than two. Seventeen or more integrations plus an inbound API put marketplace sales, one-time purchases and subscriptions together.

Pros

• 17+ integrations plus an inbound API, per Putler pricing, covering processors and storefronts.
• Deduplication and currency handling, so the same customer is not counted twice.
• Entry pricing at $20/month and a 14-day trial with no credit card.

Cons

• Priced on monthly revenue, so the bill rises with the business regardless of usage.
• The free trial shows only the previous 90 days, which is not enough to judge cohort behaviour.
• Its depth is across commerce channels rather than inside subscription metrics, so an all-recurring Stripe account is better served elsewhere.

Pricing

Metered on monthly revenue: $20/month up to $10K, $50 for $10K-$30K, rising to $2,250 for $3M-$5M, per Putler's pricing page as of September 18, 2026.

Best for

Stripe accounts where subscriptions sit alongside one-time or marketplace sales, and the question covers everything.

How to choose: match the gap, not the feature list

Start from the gap, not the vendor. Stripe Billing analytics already covers MRR movement, churn, lifetime value and cohort retention, so the only sound reason to buy is one of the four boundaries above. Work out which one you have genuinely hit before you compare a single feature list.

• All revenue is in Stripe and the question is what happened to MRR. Stay with Stripe Billing analytics and buy nothing.
• Revenue arrives through more than one provider. ChartMogul on a paid plan, ProfitWell Metrics if the budget is zero, Putler if the other sources are commerce.
• Metered or usage-based revenue is material. Baremetrics tracks it as Usage Revenue, where Stripe's own MRR leaves it out.
• Failed payments are the problem. Stripe Billing already ships Smart Retries and up to three recovery automations. Add a paid tool once those are exhausted.
• You want your own definitions joined to non-billing data. Stripe Data Pipeline plus a BI tool, or Sigma if the questions are ad hoc.
• The question is accounting, not operating. Stripe Revenue Recognition, which none of the metrics tools replaces.

If you are unsure what the dashboard itself should show, our library of SaaS metrics dashboard examples and templates is a good place to start.

Frequently Asked Questions

Does Stripe have analytics?

Yes. Stripe Billing analytics reports MRR growth, churn rate, churned revenue, ARPU, subscriber lifetime value, trial conversion and retention by cohort inside the Dashboard. Per Stripe's analytics documentation, checked September 18, 2026, MRR growth splits into new, expansion, contraction, churn, reactivation and FX adjustment. The real limits are narrower: metered products are excluded, and it reports Stripe data only.

What should I look for in payment analytics software?

Look for the specific gap it closes in your reporting, then check that its pricing is published and its limitations documented by the vendor. Four gaps are worth paying for: consolidating outside revenue, tracking usage-based revenue, recovering failed payments, and warehouse modelling. Check how each tool defines churn, because one difference there makes two dashboards disagree permanently.

What is the best analytics platform?

There is no single best platform, because the right one depends on which reporting boundary you have hit rather than which tool has the most features. A Stripe-only business with recurring pricing often needs nothing beyond Stripe Billing analytics. Two billing providers point to ChartMogul, metered revenue to Baremetrics, a warehouse to Stripe Data Pipeline.

Who is Stripe's biggest competitor?

In payments Stripe competes with providers including PayPal and Braintree, and in subscription billing with merchants of record such as Paddle, which owns ProfitWell Metrics. That matters for one reason: your analytics choice follows your processor. ProfitWell Metrics is free and reads Stripe, but is built by a Stripe competitor. Run two processors and consolidation becomes decisive.

Are you tracking subscription SaaS metrics (MRR/churn) or e-commerce/one-time sales?

For purely subscription metrics, Stripe Billing analytics, Baremetrics or ChartMogul fit. If your Stripe balance mixes recurring and one-time sales, Putler is built for that shape. Subscription tools model a lifecycle, so one-time and marketplace revenue lands in a catch-all bucket. An all-recurring account does better elsewhere.

Do you need to combine Stripe with other billing providers (like PayPal or Paddle)?

If yes, this is the consolidation gap, and it rules out Stripe's first-party stack entirely, since Billing analytics, Sigma and Data Pipeline all report Stripe data only. ChartMogul normalises five billing sources on Pro and fifteen on Enterprise. Baremetrics reads twelve, including PayPal and Paddle. ProfitWell Metrics covers Chargebee, Braintree and Recurly free.