Connect Gorgias and Google Bigquery to Build Intelligent Automations
Choose a Trigger
When this happens...
New Ticket
Choose an Action
Automatically do this!
Run a Query
Find Row
Create a Table
Ready to use Gorgias and Google Bigquery automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Ticket
Triggers when a new support ticket is created.
Do thisActions
Action is the task that follows automatically within your Gorgias integrations.
Create Ticket
Creates a new ticket.
Run a Query
run a sql query against a table in bigquery.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Gorgias and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Gorgias triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Gorgias data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between Gorgias and Google Bigquery 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 Gorgias and Google Bigquery. 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 Gorgias
Gorgias is a customer support helpdesk designed for e-commerce businesses. It centralizes customer interactions and automates responses to streamline support operations.
Learn MoreAbout Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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