Connect Dribbble and Heap Analytics to Build Intelligent Automations
Choose a Trigger
When this happens...
Fetch New Shots
Choose an Action
Automatically do this!
Track Event
Add User to Heap
Delete Users
Add User Properties
Ready to use Dribbble and Heap Analytics automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Fetch New Shots
Get Dribbble shots published within the specified recent time window.
Do thisActions
Action is the task that follows automatically within your Dribbble integrations.
Update Shot
Update a shot's title, description, tags, low-profile setting, or team using its shot ID.
Get Shot
Get details for a single shot by ID.
Track Event
Send an event to Heap
Add User to Heap
Create or update a user in Heap
Delete Users
Submit users for deletion
Add User Properties
Add or update user properties
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Frequently Asked Questions
To start, connect both your Dribbble and Heap Analytics accounts to viaSocket. Once connected, you can set up a workflow where an event in Dribbble triggers actions in Heap Analytics (or vice versa).
Absolutely. You can customize how Dribbble data is recorded in Heap Analytics. This includes choosing which data fields go into which fields of Heap Analytics, setting up custom formats, and filtering out unwanted information.
The data sync between Dribbble and Heap Analytics 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 Dribbble and Heap Analytics. 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.
About Dribbble
Discover and connect with designers worldwide, showcase creative work, and get inspired.
Learn MoreAbout Heap Analytics
Heap Analytics collects and analyzes user event data to understand how users interact with a product.
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