Google Cloud BigQuery and Facebook Conversions Integration

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Analyze granular Google Cloud BigQuery data and send optimized audiences to Facebook Conversions for better ad targeting. Latenode's visual editor and affordable execution pricing makes it easy to refine audiences and scale campaigns.

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Google Cloud BigQuery

Facebook Conversions

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Facebook Conversions

Create a New Scenario to Connect Google Cloud BigQuery and Facebook Conversions

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 Facebook Conversions will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Facebook Conversions, 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.

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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.

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Add the Facebook Conversions Node

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

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Authenticate Facebook Conversions

Now, click the Facebook Conversions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Facebook Conversions settings. Authentication allows you to use Facebook Conversions through Latenode.

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Configure the Google Cloud BigQuery and Facebook Conversions Nodes

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

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Run node once

Set Up the Google Cloud BigQuery and Facebook Conversions 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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Save and Activate the Scenario

After configuring Google Cloud BigQuery, Facebook Conversions, 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 Facebook Conversions integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Facebook Conversions (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 Facebook Conversions

Google Sheets + Facebook Conversions: When a new row is added to a Google Sheet, an event is sent to Facebook Conversions for tracking and analysis.

Facebook Conversions + Google Sheets + Slack: When a Facebook conversion event occurs, the data is added to a Google Sheet. A Slack message is then sent to a specified channel, alerting users to the new conversion data.

Google Cloud BigQuery and Facebook Conversions 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.

About Facebook Conversions

Use Facebook Conversions in Latenode to automate ad campaign optimization. Track results, update audiences, and manage bids based on real-time data – all within automated workflows. React to events and trigger actions across any integrated app for higher ROI. Scale personalized marketing without complex code.

See how Latenode works

FAQ Google Cloud BigQuery and Facebook Conversions

How can I connect my Google Cloud BigQuery account to Facebook Conversions using Latenode?

To connect your Google Cloud BigQuery account to Facebook Conversions 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 Facebook Conversions accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate custom audience creation based on BigQuery data?

Yes, you can. Latenode's flexibility lets you transform BigQuery data using JavaScript before sending it to Facebook, creating highly targeted audiences and improving ad performance.

What types of tasks can I perform by integrating Google Cloud BigQuery with Facebook Conversions?

Integrating Google Cloud BigQuery with Facebook Conversions allows you to perform various tasks, including:

  • Automatically updating Facebook custom audiences from BigQuery data.
  • Sending offline conversion data from BigQuery to Facebook Conversions.
  • Triggering Facebook conversion events based on BigQuery data analysis.
  • Analyzing Facebook ad performance data stored in Google Cloud BigQuery.
  • Creating lookalike audiences in Facebook based on BigQuery insights.

How do I handle large datasets when querying BigQuery from Latenode?

Latenode supports pagination and data streaming, allowing you to process large datasets efficiently without memory issues, ensuring smooth data handling.

Are there any limitations to the Google Cloud BigQuery and Facebook Conversions integration on Latenode?

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

  • Rate limits imposed by the Google Cloud BigQuery and Facebook Conversions APIs.
  • Data transformation complexity might require advanced JavaScript knowledge.
  • Historical data import from BigQuery to Facebook Conversions may require batch processing.

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