Enable Integrations or automations with these events of Tiledesk and Birst
runs when new contact arrives
Add a new Contact to Tiledesk.
Send a message into a support ticket or conversation
Invite a new team member by email and set their role
Add a reusable message (title and text) to use in chats.
Create a tag to organize conversations
Create a new support request with an initial message.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Tiledesk and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in Tiledesk triggers actions in Birst (or vice versa).
Absolutely. You can customize how Tiledesk data is recorded in Birst. This includes choosing which data fields go into which fields of Birst, setting up custom formats, and filtering out unwanted information.
The data sync between Tiledesk and Birst 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 Tiledesk and Birst. 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.
Tiledesk is a comprehensive platform for customer support and communication, offering tools for live chat, chatbots, and multi-channel messaging to enhance customer engagement and streamline support processes.
Learn MoreBirst is a cloud-based business intelligence and analytics platform that helps organizations make data-driven decisions. It provides tools for data discovery, visualization, and reporting, enabling users to transform raw data into actionable insights. Birst's platform is designed to be user-friendly, allowing both technical and non-technical users to access and analyze data efficiently.
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