Connect Nimble and mtalkz to Build Intelligent Automations
Enable Integrations or automations with these events of Nimble and mtalkz
Enable Integrations or automations with these events of Nimble and mtalkz
Triggers
New Contact
Triggers when a new contact is added to Nimble.
New Task
Triggers when a new task is added to Nimble.
Actions
Create Task
Create a new task.
List Users
Get all Users
List Contact
Returns list of contacts
List contacts proceeding providers
Returns a list of user-available, contact proceeding types.
List all available metadata for company fields
Return all available metadata for company's fields
List contacts pipelines
Returns a list pipelines available to view for the requesting user
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Frequently Asked Questions
To start, connect both your Nimble and mtalkz accounts to viaSocket. Once connected, you can set up a workflow where an event in Nimble triggers actions in mtalkz (or vice versa).
Absolutely. You can customize how Nimble data is recorded in mtalkz. This includes choosing which data fields go into which fields of mtalkz, setting up custom formats, and filtering out unwanted information.
The data sync between Nimble and mtalkz 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 Nimble and mtalkz. 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 Nimble
Nimble is a comprehensive CRM platform designed to help businesses manage their customer relationships, streamline communication, and enhance productivity. It integrates with various social media channels and email services to provide a unified view of customer interactions.
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About mtalkz
Mtalkz is a cloud-based communication platform that lets you transform your customer sms campaigns with predictive analysis using AI/ML.
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