Connect Bitly and Heap Analytics to Build Intelligent Automations
Choose a Trigger
When this happens...
New Bitlink
Choose an Action
Automatically do this!
Track Event
Add User to Heap
Delete Users
Add User Properties
Ready to use Bitly and Heap Analytics automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Bitlink
Triggers when you create a new Bitlink.
Do thisActions
Action is the task that follows automatically within your Bitly integrations.
Shorten a Link
Saves a Bitlink to your user history in bitly. Returns a shortened URL.
Create a Bitlink
Create a Bitlink in Bitly.
Update a User
Update a User in bitly
Track Event
Send an event to Heap
Add User to Heap
Create or update a user in Heap
Delete Users
Submit users for deletion
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Frequently Asked Questions
To start, connect both your Bitly and Heap Analytics accounts to viaSocket. Once connected, you can set up a workflow where an event in Bitly triggers actions in Heap Analytics (or vice versa).
Absolutely. You can customize how Bitly 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 Bitly 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 Bitly 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 Bitly
Bitly is a URL shortening service and a link management platform that allows users to shorten, create and manage links, and track analytics for clicks. It supports branding and customization of links to enhance marketing efforts.
Learn MoreAbout Heap Analytics
Heap Analytics collects and analyzes user event data to understand how users interact with a product.
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