Stripe's own dashboards and Sigma are powerful, but they're built for payments, not SaaS metrics. Mowt turns the same Stripe data into real MRR, churn, and LTV.
Stripe's native reporting and Sigma are excellent for payments data — charges, payouts, disputes — and Sigma in particular lets you query that data with SQL. What they don't do out of the box is reconstruct subscription movements into the SaaS metrics teams report on: normalized MRR, churn, retention cohorts, LTV, and forecasts. Mowt reads the same Stripe data and turns it into exactly those metrics, in real time, without you writing queries.
Stripe reporting and Sigma are the right tools when you need raw payments analytics or custom SQL over your Stripe data, and Sigma is genuinely powerful for ad-hoc questions if you have someone comfortable with SQL. Mowt is best for founders, finance, and growth teams who want ready-made, accurate SaaS metrics — MRR, churn, LTV, cohorts, forecasting — updated live and viewable on mobile, without building and maintaining queries. Use Mowt when you want answers, not a query editor.
Mowt reconstructs new, expansion, contraction, churn, and reactivation movements into a normalized MRR — accounting for annual plans, proration, discounts, and refunds — rather than leaving you with raw charges.
Sigma is powerful but expects you to write queries. Mowt gives you the standard SaaS metrics out of the box, so you don't need an analyst to answer a board question.
Metrics update from webhooks as events occur, and full-parity iOS and Android apps mean you can check them anywhere.
Retention cohorts, LTV, ARPU, and MRR forecasting come ready-made — analyses that would each be a non-trivial query to build and maintain in Sigma.
Compared on how each tool works, not on prices — those change, so check each vendor directly as of 2026.
| Dimension | Mowt | Stripe's native reporting / Sigma |
|---|---|---|
| Primary purpose | SaaS subscription metrics | Payments reporting & SQL |
| MRR / ARR | Normalized, ready-made | Build it yourself |
| Churn & cohorts | Built-in | Build via SQL (Sigma) |
| LTV / ARPU | Built-in | Build via SQL (Sigma) |
| Forecasting | Built-in MRR forecasting | Not a native SaaS forecast |
| Skill required | None — point and read | SQL for Sigma |
| Data freshness | Real-time via webhooks | Sigma data updates periodically |
| Mobile apps | Native iOS & Android | Stripe mobile is payments-focused |
Stripe Sigma is a genuinely powerful tool — full SQL access to your Stripe data is unmatched for custom, ad-hoc questions, and Stripe's native dashboards are excellent for payments operations.
If those strengths map to what you need, that tool may be the right call. Mowt's case is speed, focus, real-time data, and genuine mobile apps for Stripe-first teams.
Stripe shows an estimated MRR, but it doesn't normalize annual plans, proration, discounts, and refunds the way a dedicated tool does, and it lacks cohort retention, LTV, and forecasting. Mowt rebuilds these from the same data. See how we define MRR.
Sigma gives you SQL over Stripe data, which is powerful but requires you to write and maintain queries. Mowt provides the standard SaaS metrics — MRR, churn, cohorts, LTV, forecasting — ready-made, in real time, with no SQL.
No — they serve different jobs. Keep Stripe and Sigma for payments operations and custom SQL; use Mowt for ready-made SaaS metrics. Mowt connects via read-only OAuth alongside your existing Stripe setup.
Connect Stripe and Mowt backfills your history automatically, usually within minutes, then keeps metrics live via webhooks.
Connect your Stripe account and see your real MRR, churn, and LTV in real time — on desktop and mobile.
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