
When this happens...

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 Pinterest Ads and V7 Go
Creates a new project.
Create a new session
Delete a project.
Update a project .
Creates a new export
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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 Pinterest Ads and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Pinterest Ads triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Pinterest Ads 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 Pinterest Ads 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 Pinterest Ads 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.
Pinterest Ads is a powerful advertising platform that allows businesses to reach a wide audience through visually engaging content. By leveraging the unique visual nature of Pinterest, advertisers can create compelling ad campaigns that drive traffic, increase brand awareness, and boost conversions. With a variety of ad formats and targeting options, Pinterest Ads helps businesses connect with users who are actively seeking inspiration and ideas.
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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