Connect Customers.ai and Looker Studio to Build Intelligent Automations
Enable Integrations or automations with these events of Customers.ai and Looker Studio
Enable Integrations or automations with these events of Customers.ai and Looker Studio
Actions
Create Contact
Create a new contact in Customers.ai using phone or email, channel, optional name, and custom attributes.
Search Asset
Search a user's Looker Studio assets.
List Asset Permissions
Retrieves a list of permissions for a given Looker Studio asset.
Add members to Looker Studio asset
Give one or more people, groups, or domains a Viewer, Editor, Owner, or link role on a Looker Studio asset.
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Frequently Asked Questions
To start, connect both your Customers.ai and Looker Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Customers.ai triggers actions in Looker Studio (or vice versa).
Absolutely. You can customize how Customers.ai data is recorded in Looker Studio. This includes choosing which data fields go into which fields of Looker Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Customers.ai and Looker 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 Customers.ai and Looker 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 Customers.ai
Customers.ai is a lead-generating and outbound automation platform. Find who your customers are and contact them.
Learn MoreAbout Looker Studio
Looker is a powerful business intelligence and data analytics platform that helps organizations explore, analyze, and share real-time business insights. It provides a user-friendly interface for creating data-driven reports and dashboards, enabling data teams to collaborate effectively and make informed decisions.
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