Subscription analytics with cancellation insights and dunning recovery for Stripe-based businesses.
Baremetrics turns raw billing data — most famously from Stripe — into the subscription metrics founders actually watch: MRR movements, churn, cohort retention, and customer-level revenue history, live from the first connection. It layers two revenue-protection tools on top: cancellation insights that survey churning customers on the way out, and a recovery product that chases failed payments and expired cards. Bootstrapped and early-stage SaaS companies use it as their first real analytics layer, before a data team exists to build the same views in a warehouse.
Which of the capability map's modules Baremetrics covers — each links to the module's own page, with every tool that supports it.
| Module | Phase | Depth | Note |
|---|---|---|---|
| Grow Revenue | |||
| Revenue Waterfall / Cohort Analytics | Retention & Insights | Core | MRR movements, churn, and cohort views straight from billing data |
| Involuntary-Churn Prevention | Retention & Insights | Supported | the Recover add-on chases failed payments and card updates |
Simplicity and speed to insight are the pitch: connect your billing account and the dashboard is populated, no instrumentation project required. Where ChartMogul leans toward analytical depth and multi-source data, Baremetrics leans toward opinionated defaults plus the recovery and cancellation add-ons that let a small team act on churn, not just measure it.
Both compute subscription metrics from billing data. ChartMogul goes deeper on segmentation and handles more billing sources, which suits analytical teams; Baremetrics is faster to value and bundles cancellation surveys and payment recovery, which suits small teams who want action items with their dashboards. At larger scale, both give way to warehouse-based metrics.
Because MRR is a modeled metric, not a fact in the billing system. Tools make choices about proration, discounts, pauses, annual contracts, and refunds, and each choice shifts the number. Pick one definition, understand how the tool computes it, and be consistent — chasing agreement between three MRR sources is a losing game.