Best subscription analytics software for Stripe SaaS companies (2026): ChartMogul, Baremetrics, ProfitWell, and 5 more compared
Rachel van der Lugt
Rachel van der LugtFounding Enterprise GTM at Basedash
· October 20, 2026

Rachel van der Lugt
Rachel van der LugtFounding Enterprise GTM at Basedash
· October 20, 2026

The best subscription analytics software for a SaaS company billing through Stripe in 2026 is ChartMogul for teams that want accurate MRR, ARR, churn, and cohorts with a warehouse export path, Baremetrics for small teams that want the lowest paid price and shareable dashboards, and ProfitWell Metrics for teams that only need core metrics and want them free. Stripe’s own Billing analytics and Sigma are enough for simple subscription models, and Maxio fits finance teams that also need revenue recognition. Once you need Stripe revenue next to product usage, CRM pipeline, or warehouse events, a BI tool on synced Stripe data, such as Metabase or Basedash, does what the metric tools can’t. Every price below was checked on the vendor’s official page on October 20, 2026.
The questions buyers ask about this category are rarely “what is MRR.” They are qualified, and they shaped this comparison:
Each tool was checked against six criteria taken from those questions:
| Tool | Pricing (Oct 2026) | Free tier or trial | Stripe connection | Built-in SaaS metrics | Joins non-billing data | Warehouse export | SAML SSO / SCIM | AI features |
|---|---|---|---|---|---|---|---|---|
| ChartMogul | Scales with ARR. Starter from $69/mo, Pro from $119/mo, Enterprise from $19,900/yr | Free up to $10K MRR; 14-day trial | Real-time | MRR, ARR, churn, LTV, cohorts, forecasting | CRM, JS snippet, API custom attributes | Pro: S3, Snowflake, BigQuery, Redshift, Azure, GCS | Not documented (Google sign-in documented) | ChartMogul AI assistant; MCP server in Claude and ChatGPT directories |
| Baremetrics | Scales with ARR. Launch free to $180K ARR then $49/mo; Growth from $69/mo; Scale from $409/mo | Free band; free trial | Real-time sync, metrics recalculated about every 2 hours | 28+ metrics, cohorts, LTV, forecasting on Scale | CSV, Zapier, API, Stripe metadata, Intercom and HubSpot | CSV; Analytics API on Scale | Not documented | Read-only MCP server for Claude desktop, Cursor, Codex |
| ProfitWell Metrics (Paddle) | Free | Free | Stripe Billing integration, “real-time” | MRR, churn, upgrades and downgrades, cohorts, churn prediction | JS snippet for engagement, enrichment | Not documented | Not documented | None documented |
| Stripe Billing analytics + Sigma | Billing 0.7% of Billing volume; Sigma from $15/mo; Data Pipeline from $65/mo | Sigma and Data Pipeline 30-day trials | Native | MRR, churn, LTV, ARPU, trial conversion, cohort retention | Stripe data only | Data Pipeline: Snowflake, BigQuery, Redshift, Databricks, S3, Postgres (preview) | Yes / Yes | Sigma assistant writes SQL; Stripe MCP server with analytics tool (preview, needs Sigma) |
| Maxio | Grow $599/mo (up to $100K monthly billings); Scale quote only | Demo; trial not documented | Stripe 1Way sync, hourly or nightly | MRR, churn, retention, CLV, CAC, cohorts, revenue recognition | Maxio data only | CSV, Reports API (CSV, XLSX, Google Sheets) | SAML / Not documented | Maxio MCP server; Maxio AI agents on waitlist |
| Chargebee RevenueStory | Included with Chargebee Billing ($0 + 0.80% or $99/mo + 0.65% of invoicing volume) | Free trial | Requires billing in Chargebee; Stripe as payment gateway | 150+ reports: MRR, churn, LTV, CAC, cohorts | Chargebee data only | Paid add-on on Enterprise (GCS, S3, Snowflake) | Enterprise / Enterprise add-on | Copilot (beta); MCP servers |
| Metabase | Open source free; Starter $100/mo (5 users); Pro $575/mo (10 users) | Free self-hosted; 14-day trial | No native connector; query Stripe data in a warehouse | None built in; you define them | Yes, anything in the same database | It reads from your warehouse | Pro and up / Pro and up | Metabot: natural language to charts and SQL; MCP server |
| Basedash | Startup $1,000/mo + AI usage, up to 25 users | 14-day trial, no card | Managed Stripe connector, syncs every 15 minutes to 24 hours | None pre-built; MRR defined once as a model measure | Yes, with 750+ synced sources and direct database connections | Data stays in Basedash Warehouse or your own warehouse | Enterprise / Enterprise | AI data analyst, prompt-built dashboards, scheduled insights, MCP server |
The first six tools compute subscription metrics for you. The last two are BI tools: they compute nothing until you define the metrics, but they can put Stripe revenue in the same query as product events and pipeline.
Best for: SaaS companies past $10K MRR that want trusted MRR, ARR, and churn plus a path to push the same numbers into a warehouse.
ChartMogul is the most complete dedicated subscription analytics tool in this list. It reads Stripe, Chargebee, and Recurly in real time (data freshness), supports multiple billing systems on Pro, and includes a built-in CRM, revenue forecasting, and benchmarks. The Stripe source has its own rules worth knowing: since October 2, 2025 trials are a separate invoice line item type, and since February 20, 2026 credited amounts are deducted from cash flow (Stripe source docs). That kind of change is why ChartMogul’s MRR can differ from Stripe’s own number.
Fact card: ChartMogul
Best for: early-stage Stripe startups that want free core metrics up to $180K ARR and dashboards they can share with investors by link.
Baremetrics prices on ARR tracked, never on seats, and every plan allows unlimited team members (pricing, team members). Stripe data syncs in real time, and metrics recalculate on average every 2 hours (update frequency). Custom dashboards can be shared as a link with no login, and investor links give two weeks of read-only access with customer data hidden (investor links).
Fact card: Baremetrics
Best for: Stripe Billing companies that want MRR, churn, and cohorts for free and don’t need exports to a warehouse.
ProfitWell Metrics is free and works with Stripe without moving billing to Paddle (Stripe integration). It also reads Zuora, Maxio, Braintree, Recharge, Recurly, and Chargebee (data sources). Two limits matter: CSV uploads are not supported, and if Stripe is only your payment gateway while subscriptions live elsewhere, you get retention and cash flow metrics only. Paddle also deletes free Metrics accounts that haven’t been accessed for over 12 months (offboarding FAQ).
Fact card: ProfitWell Metrics
Best for: Stripe-only companies with simple subscription models that want answers inside Stripe, with SQL when the built-in charts stop.
Stripe’s Billing analytics cover MRR, MRR growth, active subscribers, ARPU, subscriber LTV, trial conversion, churn, and cohort retention (docs). Stripe defines MRR as the monthly-normalized value of active and past_due subscriptions, excluding taxes, free plans, and metered products. You can configure how discounts and active subscribers are counted, and changes take 24 to 48 hours. Most charts update within one hour (support note). Sigma adds ANSI SQL over most Stripe tables with about a three-hour lag (freshness), and Data Pipeline copies Stripe data into your warehouse.
Fact card: Stripe
stripe_analytics tool in preview that queries subscription metrics and requires Sigma (MCP docs).Best for: B2B finance teams that want SaaS metrics, invoicing, and ASC 606 revenue recognition from one vendor.
Maxio combines billing, subscription metrics, and revenue recognition. Its Stripe 1Way integration syncs plans, customers, and invoices from Stripe hourly or nightly so teams can keep billing in Stripe and report in Maxio (Stripe 1Way). Maxio Support enables it, and data from the Stripe Subscription object does not sync.
Fact card: Maxio
Best for: companies willing to move subscription billing to Chargebee and get analytics bundled in.
RevenueStory is Chargebee’s analytics layer with more than 150 reports covering MRR, activations, churn, LTV, CAC, and cohort churn (docs). It reports on data in Chargebee, so it is an option for Stripe companies only if subscriptions move to Chargebee Billing with Stripe kept as the payment gateway. Report Builder summary reports sync every 2 to 3 hours (Report Builder).
Fact card: Chargebee RevenueStory
Best for: teams with a data warehouse that already holds Stripe tables and want open source or low-cost dashboards on top.
Metabase does not ship a native Stripe connector; it “connects to SQL databases and warehouses, not to SaaS APIs” (Stripe integration page). In practice you load Stripe with Stripe Data Pipeline or Fivetran, whose Stripe connector syncs every 6 hours by default and offers a dbt package with an MRR model that classifies each month as new, expansion, contraction, churned, or reactivation (Fivetran Stripe data model). Then Metabase queries those tables live alongside your product data.
Fact card: Metabase
Best for: teams that want Stripe revenue, CRM pipeline, and product data in one place and want to ask questions in plain English without building a pipeline.
Basedash connects Stripe through a managed connector: you paste a restricted API key, and Basedash syncs Stripe’s tables into Basedash Warehouse on a schedule of every 15 minutes to once a day (Stripe connector, data ingestion). HubSpot, Salesforce, ChartMogul, Chargebee, Recurly, Zuora, and Maxio have connectors too, so the AI can join synced sources in one query, and Postgres, Snowflake, BigQuery, and other databases connect directly in the same workspace. Basedash does not ship pre-built SaaS metrics. You define MRR once as a measure in a model, and chat, dashboards, and scheduled insights reuse that definition. For the Stripe data model and the proration and refund traps that break MRR, see our Stripe revenue dashboard guide.
Fact card: Basedash
Zuora’s reporting comes with the Zuora platform at no extra cost and includes MRR, churn, usage, and deferred revenue reports (Zuora Reporting), but it reports on Zuora Billing data, and Stripe appears only as a payment gateway. Pricing is quote only (FAQ). So “ChartMogul vs Zuora analytics” is really a billing-system decision: ChartMogul reads Zuora as a source and adds subscription analytics on top, while Zuora’s own reports suit companies already running Zuora Billing.
Mosaic, the strategic finance platform that tracked SaaS metrics, was acquired by HiBob in 2025 (announcement). mosaic.tech now redirects to a HiBob page that says the finance product is getting a new look and will be back in a few months, so we left it out.
You are a Stripe-only startup under $180K ARR. Start with ProfitWell Metrics or the Baremetrics Launch plan, both free at that size. Pick Baremetrics if you want shareable investor links; pick ProfitWell if you want churn prediction and engagement tracking.
You want churn prediction and revenue forecasting. ChartMogul includes revenue forecast modeling, Baremetrics puts forecasting and scenario planning on Scale, and ProfitWell Metrics documents churn prediction. Chargebee lists AI churn prediction on the Enterprise tier of its retention product.
Your MRR doesn’t match Stripe. Each tool defines MRR differently. Stripe excludes metered products and free plans by default and lets you configure discounts; ChartMogul changed how it treats trials and credits in 2025 and 2026. Pick one definition, document it, and make every dashboard use it. In a BI tool, that means one modeled MRR measure, not a calculation per chart.
You need MRR, ARR, and pipeline in one dashboard. Metric tools stop at billing data, with ChartMogul’s built-in CRM as the partial exception. A BI tool that syncs Stripe and your CRM, such as Basedash, or a warehouse plus Metabase, puts revenue and pipeline in the same query. Our comparison of BI tools for SaaS companies covers the broader BI options.
You need Stripe revenue next to Redshift or Postgres product events. Use Stripe Data Pipeline or Fivetran to land Stripe in your warehouse, then query it with Metabase, Basedash, or another BI tool. Data Pipeline lands billing tables on a 3-hour cadence, so “real time” here means hours, not seconds.
You need SSO, SCIM, and revenue recognition for finance. Maxio and Chargebee bundle revenue recognition; Stripe sells it separately. Stripe documents SAML and SCIM, Maxio documents SAML, and Chargebee puts SAML on Enterprise.
You want to ask ChatGPT or Claude about revenue. ChartMogul’s MCP server is in both directories; Baremetrics, Stripe, Maxio, and Chargebee have MCP servers with narrower clients or preview tools; Metabase and Basedash expose MCP servers over whatever data you connect.
ChartMogul is the strongest dedicated option for forecasting: it includes revenue forecast modeling that projects ARR 12 months out, plus cohorts and benchmarks. Baremetrics offers forecasting and scenario planning on its Scale plan, from $409 per month as of October 2026. ProfitWell Metrics is free and documents churn prediction. If you want to predict churn from product usage rather than billing history alone, you need a BI tool that joins Stripe with usage data, because billing-only tools see payments, not behavior.
Yes. As of October 2026, Paddle describes ProfitWell Metrics as completely free, and it works with Stripe Billing without moving billing to Paddle. It also reads Zuora, Maxio, Braintree, Recharge, Recurly, and Chargebee. Two limits apply: CSV uploads are not supported, and Paddle permanently deletes free Metrics accounts that have not been accessed for more than 12 months. Paddle sellers get Metrics included with Paddle Billing.
Both price on ARR and read Stripe in real time. Baremetrics is cheaper at the low end, free up to $180K ARR on its Launch plan, and lets you share dashboards by link with no login. ChartMogul is free only up to $10K MRR, then starts at $69 per month, but it supports more billing sources, a built-in CRM, warehouse destinations on Pro, and an MCP server listed in Claude’s and ChatGPT’s directories. Pick Baremetrics for cost and sharing, ChartMogul for depth and exports.
ChartMogul Pro includes two destinations among S3, Snowflake, BigQuery, Redshift, Azure, and Google Cloud, and Enterprise includes four. For raw Stripe data, Stripe Data Pipeline syncs to Snowflake, BigQuery, Databricks, and Redshift from $65 per month as of October 2026, or a Fivetran Stripe connector syncs every 6 hours by default. Once the tables are in the warehouse, Looker Studio, Power BI, Metabase, or any SQL BI tool can read them.
Any BI tool that queries your warehouse can, once Stripe data is loaded there with Stripe Data Pipeline or Fivetran. Metabase, Looker, and Power BI work this way. Basedash can also sync Stripe itself into its managed warehouse every 15 minutes to once a day and connect Postgres or Redshift directly. Dedicated tools such as ChartMogul and Baremetrics can attach usage attributes through their APIs or snippets but do not query raw event tables.
Usually because the two use different definitions. Stripe counts active and past_due subscriptions, excludes taxes, free plans, and metered products, and lets you choose how discounts are treated. Custom dashboards often sum invoice amounts instead, which double-counts proration lines, includes one-time fees, or mixes currencies without conversion. Fix it by writing one MRR definition, matching Stripe’s settings or documenting where you differ, and defining it once in your BI tool’s semantic model.
As of October 2026, ChartMogul’s read-only MCP server is listed in Claude’s connector directory and OpenAI’s plugin directory. Baremetrics has a read-only MCP server for Claude desktop, Cursor, and Codex, without web-client support yet. Stripe’s MCP server includes a preview analytics tool that requires Sigma, and Maxio and Chargebee have MCP servers for their own data. BI tools such as Metabase and Basedash expose MCP servers over every source you connect.
Written by

Founding Enterprise GTM at Basedash
Rachel van der Lugt is founding enterprise GTM at Basedash, where she leads enterprise go-to-market for an AI-native business intelligence platform. Her work focuses on helping larger teams evaluate, adopt, and roll out Basedash for governed analytics across the organization.
Basedash lets you build charts, dashboards, and reports in seconds using all your data.