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

Add the Campaign Monitor Node
Select the Campaign Monitor node from the app selection panel on the right.

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

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Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery 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 settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the Campaign Monitor and Google Cloud BigQuery 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 Campaign Monitor and Google Cloud BigQuery 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Campaign Monitor, Google Cloud BigQuery, 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 Campaign Monitor and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Campaign Monitor and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Campaign Monitor and Google Cloud BigQuery
Campaign Monitor + Google Cloud BigQuery + Google Sheets: Analyze Campaign Monitor data in BigQuery, then visualize the results in Google Sheets for performance insights and shareable reports.
Campaign Monitor + Google Cloud BigQuery + Slack: When a Campaign Monitor campaign shows significant performance changes (determined via BigQuery analysis), alert the marketing team on Slack.
Campaign Monitor and Google Cloud BigQuery integration alternatives
About Campaign Monitor
Use Campaign Monitor in Latenode to automate email marketing based on triggers from other apps. Sync contact lists, personalize campaigns, and track results directly within your workflows. Latenode adds scheduling, conditional logic, and data transformation for sophisticated, automated outreach, bypassing Campaign Monitor's limits.
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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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See how Latenode works
FAQ Campaign Monitor and Google Cloud BigQuery
How can I connect my Campaign Monitor account to Google Cloud BigQuery using Latenode?
To connect your Campaign Monitor account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Campaign Monitor and click on "Connect".
- Authenticate your Campaign Monitor and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync new Campaign Monitor subscribers to BigQuery?
Yes, you can! Latenode lets you automatically sync new Campaign Monitor subscribers to BigQuery in real-time. Analyze subscriber data and improve targeting with ease, all without writing code.
What types of tasks can I perform by integrating Campaign Monitor with Google Cloud BigQuery?
Integrating Campaign Monitor with Google Cloud BigQuery allows you to perform various tasks, including:
- Analyzing email campaign performance data in BigQuery.
- Enriching subscriber data in BigQuery with campaign activity.
- Creating custom dashboards with email marketing insights.
- Triggering automated actions based on campaign engagement.
- Backing up Campaign Monitor data for compliance.
How can I handle large data volumes from Campaign Monitor in Latenode?
Latenode excels at processing large datasets. Utilize its scalable architecture to efficiently handle large volumes of Campaign Monitor data in Google Cloud BigQuery.
Are there any limitations to the Campaign Monitor and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on the data volume.
- Custom JavaScript code might be required for complex data transformations.
- Real-time updates are subject to API rate limits of both apps.