Update warehouse tables when contacts unsubscribe

When a contact unsubscribes in Botster, update the corresponding row in PostgreSQL to ensure compliance across all databases.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

PostgreSQL Explore PostgreSQL →

Triggers

New row inserted

Fires when a new row is added to a table in PostgreSQL.

Row updated

Fires when an existing row changes in PostgreSQL.

Query result ready

Fires when a scheduled query in PostgreSQL finishes running.

Actions

Run a query

Runs a SQL query against PostgreSQL and returns the result.

Insert or update a row

Writes a new or updated row to PostgreSQL.

Sync a table

Syncs a table in PostgreSQL with data from another source.

Botster Explore Botster →

Triggers

New lead captured

Fires when a new lead or contact is captured in Botster.

Contact enters a workflow

Fires when a contact enters an automation in Botster.

Contact updated

Fires when a field on a contact changes in Botster.

Contact unsubscribed

Fires when a contact unsubscribes in Botster.

Actions

Create or update a contact

Creates or updates a contact in Botster.

Add a contact to a campaign

Adds a contact to a workflow or campaign in Botster.

Send a message

Sends an email or message to a contact via Botster.

Apply or remove a tag

Changes a contact's tags in Botster.

Add qualified database leads to nurture campaigns When a query result is ready in PostgreSQL, automatically add matching contacts to a campaign in Botster. See details

Sync new marketing leads into the data warehouse When a new lead is captured in Botster, insert a new row into PostgreSQL for centralized reporting. See details

See all PostgreSQL + Botster integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Update warehouse tables when contacts unsubscribe” between PostgreSQL and Botster?

Yes — describe it in the box above and Knit's Integrations Agent researches PostgreSQL and Botster's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

Why connect PostgreSQL to Botster?

Connecting PostgreSQL to Botster allows complex SQL queries or backend database updates to dynamically trigger personalized marketing campaigns without manual data exports.

Does this integration support bidirectional data sync?

Yes, new contacts captured in Botster can be inserted into PostgreSQL, while data query calculations in PostgreSQL can update contact tags or campaign steps in Botster.