Add newly registered database users to marketing lists
When a new customer record is added to Omeda, automatically add them as a subscriber in Storylane so they receive welcome communications.
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 “Add newly registered database users to marketing lists” 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.