n8n: Event Tracking in Supabase
A lightweight event pipeline: n8n catches events via webhook, validates them, and writes them to Supabase (Postgres). Your own analytics events table, without paying for a tracking platform.
Primary Outcome
A working event-capture pipeline that validates incoming events and stores them in a queryable Supabase table.
Solution
An n8n pipeline that validates incoming events and writes them to a Supabase table you own — raw, queryable, and ready for dbt or a metrics layer.
Deliverables
An n8n workflow that receives events on a webhook
Schema validation and payload normalization
An insert step that writes events to a Supabase table
A suggested events table schema (event name, properties, user, timestamp)
Error handling for malformed or failed events
Strategic Context
Owning your raw events is a strategic choice. Hosted analytics tools are convenient until you want to join events to your own data, define metrics your way, or stop paying per-event. A table you control is the foundation the Data Catalog and forecasting templates all build on.
Technical Architecture
Owning your raw events is a strategic choice. Hosted analytics tools are convenient until you want to join events to your own data, define metrics your way, or stop paying per-event. A table you control is the foundation the Data Catalog and forecasting templates all build on.
Problem Statement
Hosted analytics tools get expensive and lock your raw events away, making it hard to join them to your own data or define metrics your way.
Links
What's Included
An importable n8n workflow JSON, a Supabase table schema, validation logic, and setup notes for wiring your app's events to the webhook.
FAQs
Why Supabase instead of an analytics SaaS?
You own the data, it's just Postgres, and you can join events to anything else in your warehouse — without per-event pricing.
Can dbt read this table?
Yes. The events table is standard Postgres and slots straight into a dbt source.
Tech Stack
Tool 1
Tool 4
Tool 4
Tool 3
Tool 2
Tool 4
Primary Outcome
A working event-capture pipeline that validates incoming events and stores them in a queryable Supabase table.
Problem Statement
Hosted analytics tools get expensive and lock your raw events away, making it hard to join them to your own data or define metrics your way.
Solution
An n8n pipeline that validates incoming events and writes them to a Supabase table you own — raw, queryable, and ready for dbt or a metrics layer.
Links
Deliverables
An n8n workflow that receives events on a webhook
Schema validation and payload normalization
An insert step that writes events to a Supabase table
A suggested events table schema (event name, properties, user, timestamp)
Error handling for malformed or failed events
What's Included
An importable n8n workflow JSON, a Supabase table schema, validation logic, and setup notes for wiring your app's events to the webhook.
Strategic Context
Owning your raw events is a strategic choice. Hosted analytics tools are convenient until you want to join events to your own data, define metrics your way, or stop paying per-event. A table you control is the foundation the Data Catalog and forecasting templates all build on.
FAQs
Why Supabase instead of an analytics SaaS?
You own the data, it's just Postgres, and you can join events to anything else in your warehouse — without per-event pricing.
Can dbt read this table?
Yes. The events table is standard Postgres and slots straight into a dbt source.
Technical Architecture
Owning your raw events is a strategic choice. Hosted analytics tools are convenient until you want to join events to your own data, define metrics your way, or stop paying per-event. A table you control is the foundation the Data Catalog and forecasting templates all build on.
Tech Stack
Tool 1
Tool 4
Tool 4
Tool 3
Tool 2
Tool 4