Segment contacts based on custom database query results
When a targeted audience query finishes running in PostgreSQL, automatically add the identified contacts into a designated segment in Poplar.
Google for Startups AcceleratorHow 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 →
TriggersFires when a new row is added to a table in PostgreSQL.
Fires when an existing row changes in PostgreSQL.
Fires when a scheduled query in PostgreSQL finishes running.
Runs a SQL query against PostgreSQL and returns the result.
Writes a new or updated row to PostgreSQL.
Syncs a table in PostgreSQL with data from another source.
Poplar Explore Poplar →
TriggersFires when Poplar captures a new lead or sign-up.
Fires when someone views, clicks or completes something in Poplar.
Fires when a post, page or asset is published from Poplar.
Creates or updates a contact or lead in Poplar.
Adds a contact to a campaign, audience or segment in Poplar.
More PostgreSQL + Poplar workflows
See all PostgreSQL + Poplar integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Segment contacts based on custom database query results” between PostgreSQL and Poplar?
Yes — describe it in the box above and Knit's Integrations Agent researches PostgreSQL and Poplar'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.
What's the most common Databases & Warehouses + Marketing automation?
Syncing campaign and contact activity from Poplar into PostgreSQL on a schedule, so marketing metrics can be joined against product or sales data.
Does this need a specific reporting format?
No — the Agent maps Poplar's own fields into whatever table structure PostgreSQL expects, so it fits your existing schema rather than forcing a new one.