When this happens...
New Form Subscriber
New Purchase
New Tag Subscriber
Subscriber Unsubscribes
Tag Removed From Subscriber

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a subscription occurs to a specific form
Triggers when a new purchase is added to your account.
Triggers when a specific tag is added to a subscriber
Runs when subscriber unsubscribes
Triggers when a specific tag is removed from a subscriber
Action is the task that follows automatically within your Kit integrations.
Find the details of a existing subscriber by its ID or Email
Subscribe someone to a specific form.
Add an email address to a specific email sequence.
Remove a specific tag from a subscriber.
Adds a purchase to a subscriber an existing purchase.
Add tag to a specific subscriber.

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To start, connect both your Kit and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Kit triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Kit data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Kit and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Kit and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
ConvertKit is an email marketing platform for professional bloggers. Easily create email sequences, tag subscribers, grow your list, and automate your email marketing.
Learn MoreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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