Connect Google Bigquery and Customer.io to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
List campaigns
Create manual segment
Delete a segment
Ready to use Google Bigquery and Customer.io automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Customer Events
Triggers when Events are performed on customer
Email Events
Triggers when Events are performed on Email.
In-app Message Events
Triggers when Events are performed on messages.
Push Events
Triggers when a push notification is drafted.
SMS Events
Trigger when an SMS delivery event happens (e.g., sent, delivered, failed, opened, clicked).
Slack Events
Triggers when a slack message is drafted, attempted, sent, clicked, failed or undelivered.
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
Delete Rows
Deletes rows in a Google BigQuery table that match the condition you provide.
Run SQL Query
Run a SQL query on Google BigQuery and return the results.
Insert Rows
Adds one or more rows to a BigQuery table.
Update Rows
Change specific fields for rows in a BigQuery table that match the rules you provide.
Create Table
Creates a new, empty table in a BigQuery dataset.
List BigQuery Projects
Lists the BigQuery projects you have access to.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Customer.io accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Customer.io (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Customer.io. This includes choosing which data fields go into which fields of Customer.io, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Customer.io 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 Bigquery and Customer.io. 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 Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreAbout Customer.io
Customer.io is a versatile marketing automation platform designed to help businesses create, send, and optimize targeted email campaigns. It enables users to engage with their audience through personalized messaging and automated workflows, ensuring effective communication and improved customer relationships.
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