How to Analyze Sales Pipeline in Supabase — Without Writing SQL
Building a pipeline on Supabase means dealing with a unique split between the auth and public schemas. You likely struggle to join auth.users with your deal tables while navigating Row Level Security policies. Managing UUIDs across related tables makes manual reporting tedious and error-prone for founders.
“What is the total value of my sales pipeline broken down by lead source?”
Understanding source ROI allows you to allocate marketing budget more effectively. It replaces the need to manually join public tables with auth metadata using UUIDs.
You get: A list of lead sources and their associated total deal value.
“Which users created the most opportunities in the last 30 days?”
This tracks team activity and ensures the pipeline is being fed consistently. It handles the complexity of joining the public deals table with the auth.users schema.
You get: A list of user emails and their opportunity counts.
“What is the average time a deal spends in each pipeline stage?”
Identifying bottlenecks allows you to refine your sales script or offer. This replaces complex timestamp subtraction and grouping across UUID-linked records.
You get: A breakdown of average days spent per stage.
“Which deals are currently stalled and have not been updated in 14 days?”
Stalled deals are often forgotten and need immediate follow-up to prevent churn. This avoids writing complex WHERE clauses against updated_at timestamps.
You get: A list of stalled deal names and their last activity date.
“What is the win rate for deals associated with specific user tags?”
This reveals which customer segments are most likely to convert. It simplifies the process of filtering through JSONB columns or related tag tables.
You get: A percentage win rate per customer tag.
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Frequently asked questions
Do I need to know SQL to get these answers?
No. You type the question in plain English exactly as written above, and the AI writes and runs the Supabase query against your database for you. You can inspect the generated query if you want to, but you never have to write it.
Is it safe to connect my production Supabase database?
Yes — connections are read-only by default, so nothing can be modified or deleted. For extra safety, create a dedicated service key scoped to read-only or connect a read replica.
Can the AI query data across the auth and public schema split?
Yes, the AI is designed to understand the Supabase architecture and can safely join auth.users with your public business tables.
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