When new textchat message in Chekkit, sync it to SQL Server.
When a textchat message comes into Chekkit, record the message entry in SQL Server.
See all Chekkit + SQL Server integrations or talk to a human
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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.
Chekkit Explore Chekkit →
TriggersFires when a customer leaves a new review in Chekkit.
Fires when a review is edited or answered in Chekkit.
Fires when a customer answers a feedback survey in Chekkit.
Invites a customer to leave a review with Chekkit.
Adds or updates a customer contact in Chekkit.
Posts a public reply to a review in Chekkit.
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 Chekkit + SQL Server workflows
Add newly registered database users to marketing lists
When a new customer record is added to SQL Server, automatically add them as a subscriber in Chekkit so they receive welcome communications.
See details
Record subscriber opt-outs in your analytical database
When a contact unsubscribes in Chekkit, update their user row in SQL Server to maintain accurate compliance and preference records.
See details
Segment contacts based on custom database query results
When a targeted audience query finishes running in SQL Server, automatically add the identified contacts into a designated segment in Chekkit.
See details
See all Chekkit + SQL Server integrations → · Browse the full workflow library →
Common questions
Can Knit build “When new textchat message in Chekkit, sync it to SQL Server.” between Chekkit and SQL Server?
Yes — describe it in the box above and Knit's Integrations Agent researches Chekkit 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 Chekkit 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 Chekkit's own fields into whatever table structure SQL Server expects, so it fits your existing schema rather than forcing a new one.