Connect NetHunt CRM and ClosedLoop AI to Build Intelligent Automations
Ready to use NetHunt CRM and ClosedLoop AI automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Record
Trigger when a new record created.
New Comment
Trigger when new comment is created.
New Call Logs
Trigger when new call logs created.
Updated Record
Trigger when record updated.
New Product Insight Generated
Runs when new product insight is generated
Do thisActions
Action is the task that follows automatically within your NetHunt CRM integrations.
Create Record
Create a new record
Update Record
Update a record
Delete Record
Delete a record
Create Comment
Create a new record comment
Find Record
Find records by ID or text query
Link Gmail Thread
This action Add a Gmail thread to a record.
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Frequently Asked Questions
To start, connect both your NetHunt CRM and ClosedLoop AI accounts to viaSocket. Once connected, you can set up a workflow where an event in NetHunt CRM triggers actions in ClosedLoop AI (or vice versa).
Absolutely. You can customize how NetHunt CRM data is recorded in ClosedLoop AI. This includes choosing which data fields go into which fields of ClosedLoop AI, setting up custom formats, and filtering out unwanted information.
The data sync between NetHunt CRM and ClosedLoop AI 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 NetHunt CRM and ClosedLoop AI. 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 NetHunt CRM
NetHunt CRM is a customer relationship management system for Gmail and Google Apps.
Learn MoreAbout ClosedLoop AI
ClosedLoop AI offers advanced AI solutions tailored for healthcare analytics, enabling organizations to leverage data-driven insights for improved patient outcomes and operational efficiency.
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