I synced Stripe payments directly into a Supabase PostgreSQL warehouse using Make.com. Real-time agency dashboards, zero enterprise BI tool costs.
If you need to log into Stripe to see your cash flow, you do not have operations. You have a guessing game. This is a common issue that CRM API workflow overhaul addresses for many businesses.
The Data Warehouse Architecture
A small Make.com pipeline pulls data from Stripe and centralizes it in PostgreSQL through Supabase. That is your entire data warehouse.
The architecture: Stripe webhook events flow into Make.com, which writes directly to your Supabase database. Your frontend queries PostgreSQL for everything. One source of truth, one screen. You can see real examples of this approach in our production case studies.
1. The ETL Pipeline
Build a webhook in Make.com that catches Stripe charge.succeeded and invoice.paid events. Use the Make.com PostgreSQL module to execute raw SQL INSERT statements into your Supabase tables.
INSERT INTO agency_revenue (client_id, amount, mrr_impact, created_at)
VALUES ({{1.customer}}, {{1.amount_captured}}, TRUE, NOW())
ON CONFLICT (client_id) DO UPDATE SET amount = agency_revenue.amount + EXCLUDED.amount;2. Real-Time Frontend
Connect Retool or a custom React app directly to Supabase. You get a fast dashboard that tracks MRR churn, client LTV, and daily cash flow. No SaaS bloat, no third-party dependency. For more complex needs, see our business AI agents.
Want the exact database schema? Download the Blueprint or AI Workflow Repair Intake. For a detailed comparison of automation platforms, see Zapier vs Make vs N8n for CRM automation.