Connect Reamaze and Birst to Build Intelligent Automations
Choose a Trigger
When this happens...
New conversation
New message
New contact
Choose an Action
Automatically do this!
- Request a new Action for Birst
Enable Integrations or automations with these events of Reamaze and Birst
Enable Integrations or automations with these events of Reamaze and Birst
Triggers
New conversation
Trigger when new conversation is created
New message
Trigger when new message is created
New contact
Trigger when new contact is created
Know More About Reamaze and Birst Integrations
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Frequently Asked Questions
To start, connect both your Reamaze and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in Reamaze triggers actions in Birst (or vice versa).
Absolutely. You can customize how Reamaze 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 Reamaze 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 Reamaze 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.
About Reamaze
Reamaze is a web-based customer communication platform that integrates email, social media, and live chat functionalities to provide a comprehensive support solution for businesses.
Learn MoreAbout Birst
Birst 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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