Enable Integrations or automations with these events of BigMailer and Labelf
Trigger when new contact is created.
Triggers when a new user is created.
Triggers when a new brand is created.
Triggers when a new brand property is created.
Triggers when a new field is created.
Triggers when a new list is created.
Create a new contact or update an existing contact in the selected BigMailer brand; optionally add the contact to a list or unsubscribe them from all campaigns.
Creates a new list.
Update the details of existing list.
Delete a specific list from the selected brand.
Creates a new field.
Edit the details of the selected field.
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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 BigMailer and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in BigMailer triggers actions in Labelf (or vice versa).
Absolutely. You can customize how BigMailer 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 BigMailer 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 BigMailer 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.
Bigmailer is a comprehensive email marketing platform designed to help businesses manage and automate their email campaigns efficiently. It offers features such as email list management, campaign automation, and detailed analytics to optimize email marketing efforts.
Learn MoreLabelf 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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