Sendinblue and Google Cloud BigQuery (REST) Integration

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Sync Sendinblue email data to Google Cloud BigQuery (REST) for advanced analytics. Latenode's visual editor makes complex data pipelines simple, while pay-by-execution pricing ensures affordability as your marketing scales, with support for custom JavaScript transforms.

Sendinblue + Google Cloud BigQuery (REST) integration

Connect Sendinblue and Google Cloud BigQuery (REST) in minutes with Latenode.

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Sendinblue

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Sendinblue and Google Cloud BigQuery (REST)

Create a New Scenario to Connect Sendinblue and Google Cloud BigQuery (REST)

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

Add the Sendinblue Node

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

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Configure the Sendinblue

Click on the Sendinblue node to configure it. You can modify the Sendinblue 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 (REST) Node

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

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Authenticate Google Cloud BigQuery (REST)

Now, click the Google Cloud BigQuery (REST) 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 (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.

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Configure the Sendinblue and Google Cloud BigQuery (REST) 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 Sendinblue and Google Cloud BigQuery (REST) 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 Sendinblue, Google Cloud BigQuery (REST), 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 Sendinblue and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Sendinblue and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Sendinblue and Google Cloud BigQuery (REST)

Shopify + Google Cloud BigQuery (REST) + Sendinblue: When a new order is placed in Shopify, order data is sent to Google Cloud BigQuery (REST) to update order analytics. Based on order analysis in BigQuery using a scheduled query, contacts are added or updated in Sendinblue to target customers with personalized campaigns.

Sendinblue + Google Cloud BigQuery (REST) + Google Sheets: Track Sendinblue campaign performance in Google Cloud BigQuery (REST) by inserting campaign data. Use Google Cloud BigQuery (REST) to process and query campaign results and load aggregated data into Google Sheets. Visualize campaign performance using Google Sheets reports.

Sendinblue and Google Cloud BigQuery (REST) integration alternatives

About Sendinblue

Automate email marketing and SMS campaigns using Sendinblue in Latenode. Trigger targeted communications based on data from any source. Easily manage contacts, personalize messages, and track results within automated workflows. Connect it to your CRM or database and optimize lead nurturing without complex coding.

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.

See how Latenode works

FAQ Sendinblue and Google Cloud BigQuery (REST)

How can I connect my Sendinblue account to Google Cloud BigQuery (REST) using Latenode?

To connect your Sendinblue account to Google Cloud BigQuery (REST) on Latenode, follow these steps:

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

Can I analyze email campaign results in BigQuery?

Yes, you can! Latenode lets you automate data transfers, so you can analyze Sendinblue campaign results in Google Cloud BigQuery, unlocking powerful insights with custom queries and dashboards.

What types of tasks can I perform by integrating Sendinblue with Google Cloud BigQuery (REST)?

Integrating Sendinblue with Google Cloud BigQuery (REST) allows you to perform various tasks, including:

  • Automatically backing up Sendinblue contact lists to BigQuery for data security.
  • Enriching BigQuery customer data with Sendinblue email engagement metrics.
  • Triggering personalized email campaigns based on BigQuery data analysis results.
  • Visualizing Sendinblue campaign performance using BigQuery’s data analysis tools.
  • Creating custom reports combining email data with other business intelligence in BigQuery.

Can I use JavaScript to transform data between these apps?

Yes! Latenode supports JavaScript code blocks, enabling complex data transformations during Sendinblue to Google Cloud BigQuery (REST) data flows.

Are there any limitations to the Sendinblue and Google Cloud BigQuery (REST) 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 data transformations may require advanced JavaScript knowledge.
  • API rate limits of Sendinblue and Google Cloud BigQuery (REST) still apply.

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