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What is our real MRR?
Track recurring revenue by plan, currency, segment, and billing interval from modeled subscription data.
Connect Stripe and your application database, define the metrics once, and give every decision-maker the same current view of revenue, retention, and customer value.
A useful data stack earns its keep by answering concrete questions. These are the decisions this solution is designed to support.
Track recurring revenue by plan, currency, segment, and billing interval from modeled subscription data.
Break churn down by cohort, plan, account type, or product behavior instead of stopping at one blended rate.
Join billing and product data to compare LTV, retention, and expansion across the customers you actually serve.
Sync Stripe beside your application database so revenue and customer context live in one queryable layer.
Use dbt models for MRR, churn, and cohorts so every chart and question starts from the same logic.
Query the model in plain English, inspect the SQL, and keep drilling into the segment behind the number.
Turn saved queries into a dashboard for the weekly review, board update, or next planning decision.
Each solution uses the same connected platform: sync the sources, model the business logic, query with the agent, and turn the result into a dashboard or application. Adopt the modules you need now without rebuilding the context at every layer.
Start with MRR or ARR, logo and revenue churn, net revenue retention, ARPA, and customer lifetime value. The useful breakdowns usually come next: plan, cohort, segment, and acquisition source.
No. Mako can sync supported business sources into your database, model the metrics, query them, and build the dashboard in one platform.
Yes. The dashboard is built from saved queries and dbt models, so you can inspect and refine the SQL instead of relying on an opaque metric.
Open source, self-hostable, and free to start. Connect a source and put the first useful answer on screen.