Customer.io and Google Cloud BigQuery (REST) Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Enrich Customer.io behavioral data in Google Cloud BigQuery (REST) for deeper analysis and personalized campaigns. Latenode's visual editor and JavaScript support provide customization beyond standard integrations, while affordable pricing scales with your needs.

Customer.io + Google Cloud BigQuery (REST) integration

Connect Customer.io and Google Cloud BigQuery (REST) in minutes with Latenode.

Start for free

Automate your workflow

Swap Apps

Customer.io

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Customer.io and Google Cloud BigQuery (REST)

Create a New Scenario to Connect Customer.io and Google Cloud BigQuery (REST)

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Customer.io, triggered by another scenario, or executed manually (for testing purposes). In most cases, Customer.io or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Customer.io or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.

Add the Customer.io Node

Select the Customer.io node from the app selection panel on the right.

+
1

Customer.io

Configure the Customer.io

Click on the Customer.io node to configure it. You can modify the Customer.io URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

+
1

Customer.io

Node type

#1 Customer.io

/

Name

Untitled

Connection *

Select

Map

Connect Customer.io

Sign In
โต

Run node once

Add the Google Cloud BigQuery (REST) Node

Next, click the plus (+) icon on the Customer.io node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).

1

Customer.io

โš™

+
2

Google Cloud BigQuery (REST)

Authenticate Google Cloud BigQuery (REST)

Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.

1

Customer.io

โš™

+
2

Google Cloud BigQuery (REST)

Node type

#2 Google Cloud BigQuery (REST)

/

Name

Untitled

Connection *

Select

Map

Connect Google Cloud BigQuery (REST)

Sign In
โต

Run node once

Configure the Customer.io and Google Cloud BigQuery (REST) Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

1

Customer.io

โš™

+
2

Google Cloud BigQuery (REST)

Node type

#2 Google Cloud BigQuery (REST)

/

Name

Untitled

Connection *

Select

Map

Connect Google Cloud BigQuery (REST)

Google Cloud BigQuery (REST) Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

โต

Run node once

Set Up the Customer.io and Google Cloud BigQuery (REST) Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that donโ€™t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
5

JavaScript

โš™

6

AI Anthropic Claude 3

โš™

+
7

Google Cloud BigQuery (REST)

1

Trigger on Webhook

โš™

2

Customer.io

โš™

โš™

3

Iterator

โš™

+
4

Webhook response

Save and Activate the Scenario

After configuring Customer.io, Google Cloud BigQuery (REST), and any additional nodes, donโ€™t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking โ€œRun onceโ€ and triggering an event to check if the Customer.io and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Customer.io and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Customer.io and Google Cloud BigQuery (REST)

Customer.io + Google Cloud BigQuery (REST) + Slack: When a customer performs a specific event tracked in Customer.io, the event data is inserted into a BigQuery table. If the customer is considered high-value based on the event, a Slack message is sent to a designated channel.

Google Cloud BigQuery (REST) + Customer.io + Google Sheets: Runs a query in BigQuery to analyze customer segments. Based on the query results, Customer.io segments are updated. Changes in segments are tracked by adding rows in Google Sheets.

Customer.io and Google Cloud BigQuery (REST) integration alternatives

About Customer.io

Use Customer.io in Latenode to automate personalized messaging based on real-time user behavior. React instantly to events like purchases or sign-ups. Build flows that segment users, trigger custom emails, and update profiles automatically. Orchestrate complex campaigns and keep data consistent across platforms.

About Google Cloud BigQuery (REST)

Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.

See how Latenode works

FAQ Customer.io and Google Cloud BigQuery (REST)

How can I connect my Customer.io account to Google Cloud BigQuery (REST) using Latenode?

To connect your Customer.io account to Google Cloud BigQuery (REST) on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Customer.io and click on "Connect".
  • Authenticate your Customer.io and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze customer behavior in BigQuery?

Yes, with Latenode! Easily send Customer.io events to BigQuery for in-depth analysis. Leverage Latenode's visual editor and data transformation blocks to prepare data for reporting and insights.

What types of tasks can I perform by integrating Customer.io with Google Cloud BigQuery (REST)?

Integrating Customer.io with Google Cloud BigQuery (REST) allows you to perform various tasks, including:

  • Backing up Customer.io event data into Google Cloud BigQuery for long-term storage.
  • Creating custom dashboards based on Customer.io data within Google Cloud BigQuery.
  • Enriching Customer.io data with other datasets available in Google Cloud BigQuery.
  • Automating data transformation before loading it into Google Cloud BigQuery.
  • Triggering actions in Customer.io based on Google Cloud BigQuery analysis results.

How secure is my Customer.io data when using Latenode?

Latenode uses secure authentication and encryption protocols, plus detailed access controls, to keep your Customer.io data safe and compliant.

Are there any limitations to the Customer.io and Google Cloud BigQuery (REST) integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Initial data sync might take time depending on the volume of data.
  • Complex data transformations may require JavaScript knowledge.
  • Google Cloud BigQuery costs are separate and depend on your usage.

Try now