How to connect Google Cloud BigQuery (REST) and Klaviyo
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Klaviyo
In the workspace, click the “Create New Scenario” button.

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

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

Google Cloud BigQuery (REST)
Configure the Google Cloud BigQuery (REST)
Click on the Google Cloud BigQuery (REST) node to configure it. You can modify the Google Cloud BigQuery (REST) URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Klaviyo Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) node, select Klaviyo from the list of available apps, and choose the action you need from the list of nodes within Klaviyo.

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Authenticate Klaviyo
Now, click the Klaviyo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Klaviyo settings. Authentication allows you to use Klaviyo through Latenode.
Configure the Google Cloud BigQuery (REST) and Klaviyo Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud BigQuery (REST) and Klaviyo 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 don’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.

JavaScript
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AI Anthropic Claude 3
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Klaviyo
Trigger on Webhook
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Klaviyo, and any additional nodes, don’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 “Run once” and triggering an event to check if the Google Cloud BigQuery (REST) and Klaviyo integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Klaviyo (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery (REST) and Klaviyo
Shopify + Google Cloud BigQuery (REST) + Klaviyo: When a new paid order is created in Shopify, the order data is inserted into a BigQuery table. This data is then used to update customer profiles in Klaviyo, enabling personalized email campaigns based on purchase history.
Klaviyo + Google Cloud BigQuery (REST) + Slack: When a new Klaviyo event occurs (e.g., email sent), the event data is inserted into BigQuery. If a query on that BigQuery data shows a campaign performing poorly (based on pre-defined metrics), specific data insights are sent to a Slack channel for review.
Google Cloud BigQuery (REST) and Klaviyo integration alternatives
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.
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About Klaviyo
Use Klaviyo in Latenode to automate email marketing based on real-time triggers. Sync customer data, personalize campaigns, and track results within automated workflows. Connect Klaviyo to other apps like CRMs or payment gateways. Run automations without per-step cost limits, scale email personalization, and use AI to improve campaign targeting.
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FAQ Google Cloud BigQuery (REST) and Klaviyo
How can I connect my Google Cloud BigQuery (REST) account to Klaviyo using Latenode?
To connect your Google Cloud BigQuery (REST) account to Klaviyo on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Klaviyo accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize Klaviyo emails with BigQuery data?
Yes, you can! Latenode allows seamless data transfer for highly targeted campaigns. Leverage BigQuery insights to boost email engagement and conversion rates effortlessly.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Klaviyo?
Integrating Google Cloud BigQuery (REST) with Klaviyo allows you to perform various tasks, including:
- Automating list segmentation based on BigQuery data analysis.
- Triggering personalized email flows from BigQuery data events.
- Enriching Klaviyo profiles with Google Cloud BigQuery (REST) customer data.
- Analyzing Klaviyo campaign performance data within BigQuery.
- Creating custom reports combining marketing and sales data.
Can I transform data from BigQuery before sending to Klaviyo?
Yes! Latenode’s data transformation blocks and JavaScript steps let you reshape data for optimal use within Klaviyo.
Are there any limitations to the Google Cloud BigQuery (REST) and Klaviyo integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex queries in Google Cloud BigQuery (REST) may require optimization.
- Klaviyo API rate limits apply to high-volume data transfers.
- Initial data mapping requires careful configuration for accuracy.