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