Connect BoardCRM and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of BoardCRM and Labelf
Enable Integrations or automations with these events of BoardCRM and Labelf
Actions
Add Comment
Add a comment to a specified deal in BoardCrm.
UpdateLead
Update an existing lead in BoardCrm by Lead ID to modify name, contact details, company, position, and notes.
Create Deal
Create a new deal (offer) in BoardCrm using the provided lead details and deal field values.
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Frequently Asked Questions
To start, connect both your BoardCRM and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in BoardCRM triggers actions in Labelf (or vice versa).
Absolutely. You can customize how BoardCRM data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between BoardCRM and Labelf 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 BoardCRM and Labelf. 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 BoardCRM
BoardCrm is a comprehensive CRM solution designed to streamline customer relationship management and enhance sales processes. With features tailored for efficient contact management, sales tracking, and customer engagement, BoardCrm empowers businesses to build stronger relationships and drive growth.
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About Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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