Record subscriber opt-outs in your analytical database
When a contact unsubscribes in Emarsys, update their user row in SQL Server to maintain accurate compliance and preference records.
See all Emarsys + SQL Server integrations or talk to a human
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.
Emarsys Explore Emarsys →
TriggersFires when a new subscriber is added in Emarsys.
Fires when a campaign is sent from Emarsys.
Fires when a subscriber unsubscribes in Emarsys.
Adds or updates a subscriber in Emarsys.
Creates or sends a campaign from Emarsys.
Adds a subscriber to a segment in Emarsys.
SQL Server Explore SQL Server →
TriggersFires when a new row is added to a table in SQL Server.
Fires when an existing row changes in SQL Server.
Fires when a scheduled query in SQL Server finishes running.
Runs a SQL query against SQL Server and returns the result.
Writes a new or updated row to SQL Server.
Syncs a table in SQL Server with data from another source.
More Emarsys + SQL Server workflows
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Common questions
Can Knit build “Record subscriber opt-outs in your analytical database” between Emarsys and SQL Server?
Yes — describe it in the box above and Knit's Integrations Agent researches Emarsys and SQL Server'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 Emarsys into SQL Server 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 Emarsys's own fields into whatever table structure SQL Server expects, so it fits your existing schema rather than forcing a new one.