Connect Sender and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Sender
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Enable Integrations or automations with these events of Sender and V7 Go
Enable Integrations or automations with these events of Sender and V7 Go
Actions
Create Field
Create a new field, for subscriber.
Create Campaign
Creates a new campaign.
Add Subscriber to Group
Add Subscriber to Group
Create Group
Creates a new group.
Remove Subscribers From Group
Remove subscribers from the existing group.
Create Subscriber
Creates a new subscriber.
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Frequently Asked Questions
To start, connect both your Sender and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Sender triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Sender 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 Sender 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 Sender 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.
About Sender
Sender.net is a powerful email marketing platform designed to help businesses create, send, and track effective email campaigns. With a user-friendly interface and robust features, it enables users to engage with their audience, automate workflows, and analyze campaign performance.
Learn MoreAbout V7 Go
V7 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.
Learn More
