Connect Snapchat Ads and V7 Go to Build Intelligent Automations
Enable Integrations or automations with these events of Snapchat Ads and V7 Go
Enable Integrations or automations with these events of Snapchat Ads and V7 Go
Actions
Get all Campaigns under an Ad Account
This action retrieves all Campaigns under an Ad Account.
Create Project
Creates a new project.
Create a New Session
Create a new session
Delete Project
Delete a project.
Update Project
Update a project .
Create an export
Creates a new export
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Frequently Asked Questions
To start, connect both your Snapchat Ads and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Snapchat Ads triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Snapchat 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 Snapchat 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 Snapchat 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.
About Snapchat Ads
Snapchat Ads is a powerful advertising platform that allows businesses to reach a large and engaged audience through visually appealing and interactive ad formats. With Snapchat Ads, advertisers can create immersive experiences that resonate with the platform's predominantly young user base, driving brand awareness and conversions.
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.
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