Connect Detrack and Heap Analytics to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Detrack
Choose an Action
Automatically do this!
Track Event
Add User to Heap
Delete Users
Add User Properties
Enable Integrations or automations with these events of Detrack and Heap Analytics
Enable Integrations or automations with these events of Detrack and Heap Analytics
Actions
Create Job
Creates a Job in the Detrack Dashboard.
List Jobs
List all jobs
Create Batch
Create multiple delivery or collection jobs in Detrack as a single batch.
Update Job
Update one or more Detrack jobs (DO numbers). Modify job date, type, address, contact, phone, notification email, tracking number, and items — any fields left blank remain unchanged.
Track Event
Send an event to Heap
Add User to Heap
Create or update a user in Heap
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Frequently Asked Questions
To start, connect both your Detrack and Heap Analytics accounts to viaSocket. Once connected, you can set up a workflow where an event in Detrack triggers actions in Heap Analytics (or vice versa).
Absolutely. You can customize how Detrack 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 Detrack 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 Detrack 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 Detrack
Detrack is a live delivery tracking system that offers a robust Proof of Delivery system to last-mile couriers and logistics.
Learn MoreAbout Heap Analytics
Heap Analytics collects and analyzes user event data to understand how users interact with a product.
Learn More
