How to connect Google Cloud BigQuery and Cleverreach
Create a New Scenario to Connect Google Cloud BigQuery and Cleverreach
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, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Cleverreach will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Cleverreach, and select the appropriate trigger to start the scenario.

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

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

Google Cloud BigQuery
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Cleverreach

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

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AI Anthropic Claude 3
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Cleverreach
Trigger on Webhook
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Google Cloud BigQuery
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Cleverreach, 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 and Cleverreach integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Cleverreach (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 and Cleverreach
Cleverreach + Google Sheets: When a new campaign is launched in Cleverreach, retrieve campaign results and update a Google Sheet with the relevant data.
Cleverreach + Shopify + Google Sheets: When a new subscriber signs up via Cleverreach, find their purchase history from Shopify and add it to a Google Sheet for analysis.
Google Cloud BigQuery and Cleverreach integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About Cleverreach
Use Cleverreach in Latenode to automate email marketing based on real-time triggers. Sync contact lists, personalize campaigns, and track results directly from your workflows. Avoid manual CSV imports, segment audiences dynamically, and react to user behavior using Latenode’s flexible data routing and logic.
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See how Latenode works
FAQ Google Cloud BigQuery and Cleverreach
How can I connect my Google Cloud BigQuery account to Cleverreach using Latenode?
To connect your Google Cloud BigQuery account to Cleverreach on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Cleverreach accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync BigQuery data to Cleverreach for personalized campaigns?
Yes, you can! Latenode's flexible data mapping and transformation features ensure accurate data transfer, enhancing your personalization and segmentation capabilities in Cleverreach.
What types of tasks can I perform by integrating Google Cloud BigQuery with Cleverreach?
Integrating Google Cloud BigQuery with Cleverreach allows you to perform various tasks, including:
- Automating newsletter list updates based on BigQuery data analysis.
- Triggering personalized email sequences using customer data insights.
- Segmenting Cleverreach contacts using advanced BigQuery queries.
- Tracking email campaign performance data in Google Cloud BigQuery.
- Generating custom reports combining email and customer data.
Can I use JavaScript to transform data between BigQuery and Cleverreach?
Yes, Latenode lets you use JavaScript code to transform data, offering advanced control over the data flow between the platforms.
Are there any limitations to the Google Cloud BigQuery and Cleverreach integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on dataset size.
- Complex BigQuery queries might require optimization for efficient execution.
- Cleverreach API rate limits may impact high-volume data transfers.