SaaS founders usually land on this comparison because they're tired of the same set of problems:
All three tools read your Stripe data. The difference is what they turn it into. Stripe Analytics is free payment reporting. ChartMogul is subscription analytics with a built-in CRM. Baremetrics is subscription analytics with financial forecasting, revenue recovery, and hands-on support.
Want to skip ahead? Connect Stripe to Baremetrics and see every metric in about 30 minutes — with unlimited onboarding calls.
| Capability | Baremetrics | ChartMogul | Stripe Analytics |
|---|---|---|---|
| Core SaaS metrics (MRR, churn, LTV) | ✅ Full, real-time | ✅ Full | ⚠️ Top-line MRR only |
| MRR movement waterfall | ✅ Daily | ✅ | ❌ |
| Segmentation | ✅ Unlimited + unlimited saved dashboards | ✅ All plans (dashboards capped 5–15) | ❌ |
| Financial forecasting (P&L, runway, burn) | ✅ Forecast Plus | ❌ | ❌ |
| SaaS revenue forecasting | ✅ | ✅ All plans | ❌ |
| Built-in CRM | Limited (HubSpot sync) | ✅ Native on every plan | ❌ |
| Failed-payment recovery | ✅ Recover (native add-on) | Via third-party ecosystem | ⚠️ Smart Retries + limited Stripe-branded emails |
| Cancellation insights | ✅ Native widget + Retention Offers | Not confirmed | ⚠️ Portal reasons, fixed list, no dashboard |
| Industry benchmarks | General SaaS | ✅ Stage/ARR-specific | ❌ |
| Multi-source data | ✅ Stripe + Apple + Google + Shopify + more | ✅ Broad (incl. PayPal, GoCardless) | ❌ Stripe only |
| Data warehouse export | ❌ | ✅ Pro+ | ✅ Data Pipeline |
| Support | ✅ Unlimited calls, ~2-min chat | Hands-off per reviews | Docs/tickets |
| Entry price | $49/mo | ✅ Free to $10K MRR | ✅ $0 |
Comparing Segments in Baremetrics
Connect Stripe (one click, ~30 minutes to full setup with years of historical data). Baremetrics pre-builds everything Stripe leaves out.
Metrics without spreadsheets. Full MRR waterfall (New, Expansion, Reactivation, Contraction, Churn by day), plus net revenue, fees, ARPU, LTV, user and revenue churn, at-risk revenue from expiring cards, cohort retention tables, annotations, and a live event stream.
Segmentation that answers real questions. Unlimited segments on any attribute (plan, country, billing cadence, price point, HubSpot or Intercom fields, custom API attributes), with unlimited saved dashboards per segment and segment overlays on the same graph. "You can slice and dice it any way you need to."
Financial forecasting, not just revenue forecasting. Forecast Plus ingests your actual P&L from QuickBooks or Xero (or CSV) and models runway, burn rate, CAC, expense breakdowns, budget variance, and Target/Base/Worst-Case scenarios. This is the piece neither competitor attempts: bridging SaaS metrics to CFO-level reporting.
Revenue recovery built in. Recover triggers on failed charges with up to 7 fully customizable emails, a branded billing widget, in-app banner, paywall, and SMS. In May 2026 alone, active Recover accounts recovered $1,241,070 at an average 14.9% recovery rate — and 90% of active accounts recovered revenue that month.
Cancellation Insights. A widget on your cancel button captures the reason, triggers reason-based win-back emails, and (new in 2026) presents Retention Offers — reason-based save discounts auto-applied to the Stripe subscription.
Support as a feature. Unlimited onboarding calls, ~2-minute chat responses, and working sessions where the team builds segments and dashboards with you — including during trial.
ChartMogul's Dashboard
ChartMogul is the closest head-to-head competitor. It's genuinely neck and neck with Baremetrics on core subscription metrics. Its distinctive bets: a native CRM on every plan (opportunities, tasks, email sequencing; CRM Pro seats at $39/user/month), stage- and ARR-specific industry benchmarks, broad billing-source support (including PayPal and GoCardless), and data warehouse exports (Snowflake, BigQuery, Redshift, S3, Azure on Pro+). Its free plan covers companies up to $10K MRR.
Two recurring criticisms in reviews. Numbers that "rarely ever tie to Stripe's" without manual fixes, and support that's hands-off at lower tiers.
Stripe's Customer View
Stripe's default dashboard is free. It's fine for payment operations: revenue overview, payment trends, basic subscription counts, top-line MRR (Stripe Billing only). It does not calculate MRR movements, churn rates, LTV, ARPU trends, cohorts, or segmentation — and Stripe's MRR accuracy is often reported at 75–85% versus actual recurring revenue due to proration and trial-conversion edge cases. Stripe Sigma adds SQL access ($10–450/month by charge volume) for teams with an analyst, but it's Stripe-data-only with no pre-built KPI dashboards.
No spin here. ChartMogul wins on the free tier (real and useful to $10K MRR), the shipped native CRM, industry-specific benchmarks, PayPal/GoCardless native support, and data warehouse exports. If those are your priorities, it's a strong product.
Stripe's dashboard is free, and Stripe is the source of truth with zero sync lag. Sigma out-flexes any pre-built tool for custom SQL. Data Pipeline serves data-mature teams. Fraud tooling (Radar) has no equivalent in any analytics product.
Every analytics layer re-processes Stripe data with its own rules. Four things cause most discrepancies. Timezone normalization: Stripe reports in UTC, while analytics tools normalize to your business day, which shifts daily MRR. Proration: mid-cycle upgrades create partial-period amounts that tools classify differently. Trials: a conversion counts as new MRR on different dates depending on each tool's definition. Refunds and disputes: some tools net them against MRR, others track them separately.
The fix isn't picking whichever number looks best. Choose one layer as your metrics system of record and learn its definitions. Then reconcile monthly against Stripe's raw totals. If a vendor can't explain its definitions, that's your answer.
The nuance that matters: ChartMogul's free tier wins pre-$10K MRR. The moment you outgrow it, Baremetrics is priced competitively and includes what ChartMogul doesn't attempt — financial forecasting, native recovery, cancellation insights, and hands-on support. And if ChartMogul quotes you lower, send us the written quote. We'll be very competitive.
Most teams don't pick once. The pattern we see: start on Stripe's free dashboard, add ChartMogul's free plan or a spreadsheet as investor questions arrive, then hit the wall — dashboards capped, support hands-off, or forecasting missing — and consolidate on a paid metrics layer.
Moving between analytics layers is cheap. They read your billing data rather than hold it, so switching is a re-sync, not a migration. Test both. Run Baremetrics and ChartMogul side by side on the same Stripe account during trials and compare the numbers against your own books.