Bastle vs Baremetrics

The honest version of this comparison

Baremetrics invented the shape of this category and most of what it does, it does well. Connect Stripe, wait a couple of minutes, and you have MRR, churn, LTV and cohorts without writing anything. That flow has been refined since 2013 and it shows. The support is better than ours: chat answers in around two minutes and onboarding calls are unlimited, and for a founder who does not want to think about analytics tooling ever again, that alone is a defensible reason to buy.

Where the gap opens is not in the metric list. Both products compute the same family of numbers. It opens in what you can do when you disagree with one.

The black-box problem

The most consistent complaint about Baremetrics is not a missing feature — it is that MRR does not reconcile against Stripe and the rules that produced it are not visible or changeable. Whether a delinquent subscription is still revenue, whether a trial counts, whether a full-discount coupon is churn: these are business decisions, and in Baremetrics they are constants someone else chose.

Bastle treats them as workspace policy. Change the delinquency window and history recalculates against the new rule. Click any figure and you get the formula, the period boundaries and the exact customers, subscriptions and invoices behind it. That is not a nicer dashboard; it is the difference between a number you can defend in a board meeting and one you can only repeat. Two things that belong in this paragraph are not built yet and are on the roadmap: a line-by-line variance view against your provider's own figure, and a versioned, attributed record of who changed which rule and when. Until the second ships, treat a definition change as untracked. More detail is on how Bastle calculates metrics.

The AI gap is real, and it is not ours to gloat about

Baremetrics' CEO has publicly discussed building natural-language revenue analytics, and as of this research nothing has shipped — third-party comparisons still list the absence of AI querying as a gap. Bastle's Ask is the product that description points at: you ask why MRR moved, and you get a decomposition into new, expansion, reactivation, contraction and churn, with the specific customers behind each cited inline.

The important word there is cited. An unsourced answer from a language model is a guess with good grammar. The arithmetic in Ask comes from the same metrics engine that renders the charts, and every claim links to the records it drew on, so checking it takes about ten seconds. That is the only version of this feature worth having.

The integration surface

Baremetrics' outbound integration surface is thin — Slack, Intercom and Zapier — with no outbound webhooks and no warehouse export. If you want a Slack message when a high-value customer's payment fails, you poll. Bastle emits signed webhook envelopes with automatic retries for charge, subscription, refund, trial and dunning events, exposes the whole product over a REST API, and ships an MCP server and CLI so agents and scripts read the same figures the dashboards do. Warehouse destinations are on our roadmap and are not available today; we are not going to mark them shipped because they are planned.

What you give up by choosing us

Time in market, mostly, and that is not nothing. Baremetrics has spent a decade discovering how billing data goes wrong in practice. Bastle has a smaller support team and no customer stories to point at, because we have no customers yet. Forecasting is in beta and behaves like it. Benchmarks do not exist and will not until there is a real cohort to compute them from — publishing peer figures before then would mean inventing them.

If you want a mature product with fast human help, Baremetrics is a straightforward, sensible choice. If your frustration is that you cannot see or change how your own numbers are calculated, and cannot get them out of the tool programmatically, that is the frustration Bastle was built around.

Who wrote this page

Bastle did, and Bastle benefits if you choose Bastle. That is a bias no amount of good intent removes, so the useful thing is to make it checkable rather than to claim it away. Every capability claim above is specific enough to disprove in an afternoon, the case for the other product gets the same room as the case for ours, and anything that works differently rather than not at all is marked partial.

Read this alongside the other vendor's own documentation, not instead of it. If something here is wrong about their product, tell us: corrections are treated as bugs rather than as debate, the page gets fixed and its research date is reset so you can see it was revised. That applies whether the correction makes them look better or us look worse.