Connect CRM.io and quicktable to Build Intelligent Automations
Enable Integrations or automations with these events of CRM.io and quicktable
Enable Integrations or automations with these events of CRM.io and quicktable
Actions
List All lists
Retrieves the detail of all lists
Search List by Name
Retrieves the detail of lists by name
List All Tags
Retrieves the detail of all tags
Search Notes
Retrieve notes for a contact by email.
List All Companies
Retrieves the detail of all companies
List All Deals
Retrieves the detail of all deals
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Frequently Asked Questions
To start, connect both your CRM.io and quicktable accounts to viaSocket. Once connected, you can set up a workflow where an event in CRM.io triggers actions in quicktable (or vice versa).
Absolutely. You can customize how CRM.io data is recorded in quicktable. This includes choosing which data fields go into which fields of quicktable, setting up custom formats, and filtering out unwanted information.
The data sync between CRM.io and quicktable 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 CRM.io and quicktable. 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 CRM.io
CRM.io is a comprehensive Customer Relationship Management platform designed to streamline and enhance the way businesses interact with their customers. It offers a suite of tools to manage customer data, track interactions, and automate sales processes, ensuring that businesses can maintain strong relationships with their clients and improve customer satisfaction.
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About quicktable
QuickTable is a visual data modeling tool that lets everyone clean and transforms data without writing code. Using QuickTable helps reduce the time it takes to prepare data for analytics and modeling by up to 70 percent compared to traditional ways.
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