
When this happens...
New Contact
New User
New Brand
New Brand Property
New Field
New List

Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
When this happensTriggers
A trigger is an event that starts a workflow.
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.
Action is the task that follows automatically within your BigMailer integrations.
Create a new contact or update an existing contact in the selected BigMailer brand
Create a new mailing list.
Update details of an existing list
Creates a new field.
Update the selected field's details.
Creates a new brand property.

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To start, connect both your BigMailer and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in BigMailer triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how BigMailer data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between BigMailer and V7 Go 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 V7 Go. 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 MoreV7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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