Connect Uscreen and Google Data Studio to Build Intelligent Automations
Choose a Trigger
When this happens...
New User
New Program
New Offer
Choose an Action
Automatically do this!
- Request a new Action for Google Data Studio
Enable Integrations or automations with these events of Uscreen and Google Data Studio
Enable Integrations or automations with these events of Uscreen and Google Data Studio
Triggers
New User
Triggers when a new user is added to your storefront.
New Program
Trigger when new program video is uploaded.
New Offer
Triggers when a Offer is processed for subscriptions, bundles.
Actions
Create User
Creates a new user
Get a Offer
Get a Offer
Assign User Access
Assigns a bundle or subscription to a customer.
Get User Detail by Email
Get a Customer/User Detail by email
Get a Program
Get a Program
Update a User
Update a User
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Frequently Asked Questions
To start, connect both your Uscreen and Google Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Uscreen triggers actions in Google Data Studio (or vice versa).
Absolutely. You can customize how Uscreen data is recorded in Google Data Studio. This includes choosing which data fields go into which fields of Google Data Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Uscreen and Google Data Studio 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 Uscreen and Google Data Studio. 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 Uscreen
Uscreen is a fully hosted video platform enabling you to sell and distribute your videos online.
Learn MoreAbout Google Data Studio
Google Data Studio is a powerful tool that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It integrates seamlessly with various data sources, enabling users to visualize and analyze data in real-time, making it an essential tool for data-driven decision-making.
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