
When this happens...
New Record
New Comment
New Call Logs
Updated Record

Automatically do this!
Enable Integrations or automations with these events of NetHunt CRM and Microsoft Azure Functions
Trigger when a new record created.
Trigger when new comment is created.
Trigger when new call logs created.
Trigger when record updated.
Create a new record
Update a record
Delete a record
Create a new record comment
Find records by ID or text query
This action Add a Gmail thread to a record.
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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 NetHunt CRM and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in NetHunt CRM triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how NetHunt CRM data is recorded in Microsoft Azure Functions. This includes choosing which data fields go into which fields of Microsoft Azure Functions, setting up custom formats, and filtering out unwanted information.
The data sync between NetHunt CRM and Microsoft Azure Functions 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 Microsoft Azure Functions. 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.
NetHunt CRM is a customer relationship management system for Gmail and Google Apps.
Learn MoreMicrosoft Azure Functions is a serverless computing service that enables developers to run event-driven code without having to explicitly provision or manage infrastructure. It allows for the execution of code in response to various triggers, such as HTTP requests, database changes, or message queue events, making it ideal for building scalable and efficient applications.
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