Omnisend and Google Cloud BigQuery Integration

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Omnisend

Google Cloud BigQuery

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Omnisend and Google Cloud BigQuery

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

Add the Omnisend Node

Select the Omnisend node from the app selection panel on the right.

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Configure the Omnisend

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

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Add the Google Cloud BigQuery Node

Next, click the plus (+) icon on the Omnisend 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.

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Configure the Omnisend 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.

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Run node once

Set Up the Omnisend 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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Save and Activate the Scenario

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

Omnisend + Shopify + Google Sheets: When a new order is placed in Shopify, a custom event is triggered in Omnisend to track purchase behavior. The data, including order details and associated customer information, is then added to a Google Sheet for analysis.

Google Sheets + Omnisend + Shopify: Track marketing campaign budgets and performance data in Google Sheets. When a budget threshold is reached, trigger a specific customer event in Omnisend. This event can then be used to personalize product recommendations by updating product information on Shopify.

Omnisend and Google Cloud BigQuery integration alternatives

About Omnisend

Use Omnisend in Latenode to automate email & SMS marketing based on real-time data. Connect e-commerce platforms and CRMs, then trigger personalized campaigns. Stop overspending on rigid marketing tools. Latenode's visual editor and flexible logic create scalable automation at a fraction of the cost.

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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FAQ Omnisend and Google Cloud BigQuery

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

To connect your Omnisend account to Google Cloud BigQuery on Latenode, follow these steps:

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

Can I analyze Omnisend campaign performance in BigQuery?

Yes, you can! Latenode automates data transfer, enabling powerful analysis and reporting in Google Cloud BigQuery. Gain deeper insights into your Omnisend campaigns.

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

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

  • Sync Omnisend contact data to Google Cloud BigQuery for analysis.
  • Automate reporting of email campaign performance.
  • Enrich customer profiles in BigQuery with Omnisend data.
  • Trigger personalized Omnisend campaigns based on BigQuery insights.
  • Create custom dashboards visualizing email marketing metrics.

How does Latenode handle large Omnisend contact lists?

Latenode efficiently processes large Omnisend lists using scalable architecture. Build automations without performance concerns.

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

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

  • Initial data synchronization can take time depending on data volume.
  • Advanced custom queries in Google Cloud BigQuery require SQL knowledge.
  • Omnisend API rate limits may affect the frequency of data updates.

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