Connect Tisane and Heap Analytics to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Tisane
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 Tisane and Heap Analytics
Enable Integrations or automations with these events of Tisane and Heap Analytics
Actions
Analyze Text
Processes the input text and returns insights such as sentiment, keywords, or other linguistic data.
Detect Language
Identifies the language of the given text input automatically.
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 Tisane and Heap Analytics accounts to viaSocket. Once connected, you can set up a workflow where an event in Tisane triggers actions in Heap Analytics (or vice versa).
Absolutely. You can customize how Tisane 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 Tisane 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 Tisane 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 Tisane
Tisane is NLU with a focus on abusive content & lawtech / regtech needs. We detect cyberbullying / personal attacks, hate speech, sexual advances, obfuscated profanities, criminal activity, and more.
Learn MoreAbout Heap Analytics
Heap Analytics collects and analyzes user event data to understand how users interact with a product.
Learn More
