SendPulse and Microsoft Power BI Integration

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SendPulse + Microsoft Power BI integration

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect SendPulse and Microsoft Power BI

Create a New Scenario to Connect SendPulse and Microsoft Power BI

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

Add the SendPulse Node

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

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Configure the SendPulse

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

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Add the Microsoft Power BI Node

Next, click the plus (+) icon on the SendPulse node, select Microsoft Power BI from the list of available apps, and choose the action you need from the list of nodes within Microsoft Power BI.

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Authenticate Microsoft Power BI

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

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Configure the SendPulse and Microsoft Power BI 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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Set Up the SendPulse and Microsoft Power BI 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 SendPulse, Microsoft Power BI, 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 SendPulse and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between SendPulse and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect SendPulse and Microsoft Power BI

SendPulse + Google Sheets + Microsoft Power BI: When a subscriber event occurs in SendPulse, add a new row with the event details to a Google Sheet. Power BI can then use this Google Sheet as a data source to analyze email campaign performance.

Microsoft Power BI + SendPulse + Slack: Power BI monitors email engagement. If Power BI detects a drop in engagement based on its datasets, it triggers a Slack notification to the marketing team containing SendPulse campaign statistics.

SendPulse and Microsoft Power BI integration alternatives

About SendPulse

Use SendPulse in Latenode for automated email & SMS marketing. Trigger campaigns based on real-time events, segment contacts dynamically, and personalize messages using data from any app. Automate list cleaning and optimize send times in response to user behavior. Connect SendPulse to any data source for smarter, event-driven communication workflows.

About Microsoft Power BI

Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.

See how Latenode works

FAQ SendPulse and Microsoft Power BI

How can I connect my SendPulse account to Microsoft Power BI using Latenode?

To connect your SendPulse account to Microsoft Power BI on Latenode, follow these steps:

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

Can I visualize email campaign performance in Power BI?

Yes, you can! Latenode lets you automate data transfers from SendPulse to Power BI, creating custom dashboards. Gain instant insights into deliverability and engagement.

What types of tasks can I perform by integrating SendPulse with Microsoft Power BI?

Integrating SendPulse with Microsoft Power BI allows you to perform various tasks, including:

  • Automatically updating Power BI datasets with new SendPulse data.
  • Creating reports on email campaign performance in real-time.
  • Tracking subscriber growth and engagement metrics.
  • Analyzing email deliverability rates with custom visualizations.
  • Combining email data with other business data for holistic insights.

How does Latenode enhance SendPulse's reporting features?

Latenode enables advanced data manipulation and real-time data transfer, surpassing standard SendPulse reporting via custom Power BI dashboards.

Are there any limitations to the SendPulse and Microsoft Power BI integration on Latenode?

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

  • Historical data transfer may require initial manual setup.
  • Complex data transformations might require JavaScript coding.
  • Power BI API limits may impact very large data volumes.

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