
When this happens...
New Lead Form Submitted

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.
Runs when lead form is submitted
Action is the task that follows automatically within your Google Ads integrations.
Finds a Google Ads campaign that matches the provided campaign ID or name.
Add an email address to a Google Ads customer list.
Finds customer lists in Google Ads by list name or list number.
Sets a Google Ads campaign's status to Enabled, Paused, or Removed.
Sends offline customer events to Google Ads so they are linked to your ad campaigns.
Retrieves the details as per the query provided.

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To start, connect both your Google Ads and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Ads triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Google 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 Google 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 Google 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.
Google Ads is an online advertising platform developed by Google, where advertisers can display brief advertisements, service offerings, product listings, or videos to web users. It can place ads both in the results of search engines like Google Search and on non-search websites, mobile apps, and videos.
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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