Segment contacts based on custom database query results
When a targeted audience query finishes running in Omeda, automatically add the identified contacts into a designated segment in Storylane.
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.
Storylane Explore Storylane →
TriggersFires when Storylane captures a new lead or sign-up.
Fires when someone views, clicks or completes something in Storylane.
Fires when a post, page or asset is published from Storylane.
Creates or updates a contact or lead in Storylane.
Adds a contact to a campaign, audience or segment in Storylane.
Omeda Explore Omeda →
TriggersFires when a new row is added to a table in Omeda.
Fires when an existing row changes in Omeda.
Fires when a scheduled query in Omeda finishes running.
Runs a SQL query against Omeda and returns the result.
Writes a new or updated row to Omeda.
Syncs a table in Omeda with data from another source.
More Storylane + Omeda workflows
See all Storylane + Omeda integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Segment contacts based on custom database query results” between Storylane and Omeda?
Yes — describe it in the box above and Knit's Integrations Agent researches Storylane and Omeda'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 Storylane into Omeda 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 Storylane's own fields into whatever table structure Omeda expects, so it fits your existing schema rather than forcing a new one.