Microsoft SQL Server and SendPulse Integration

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Sync Microsoft SQL Server data to SendPulse for personalized campaigns. Latenode's visual editor simplifies complex logic and custom JavaScript transforms, while affordable execution-based pricing optimizes costs for database-driven marketing.

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Microsoft SQL Server

SendPulse

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft SQL Server and SendPulse

Create a New Scenario to Connect Microsoft SQL Server and SendPulse

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

Add the Microsoft SQL Server Node

Select the Microsoft SQL Server node from the app selection panel on the right.

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Microsoft SQL Server

Configure the Microsoft SQL Server

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

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Add the SendPulse Node

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

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SendPulse

Authenticate SendPulse

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

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

Most powerful ways to connect Microsoft SQL Server and SendPulse

Microsoft SQL Server + SendPulse + Slack: When a new or updated row is added to the Microsoft SQL Server database, if the email address in that row matches an email address that was sent an email via SendPulse, a message is sent to a Slack channel.

SendPulse + Microsoft SQL Server + Zoho CRM: When a new subscriber event occurs in SendPulse (e.g., subscription), the subscriber's information is added as a new row to a Microsoft SQL Server database, and a new contact is created in Zoho CRM.

Microsoft SQL Server and SendPulse integration alternatives

About Microsoft SQL Server

Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.

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.

See how Latenode works

FAQ Microsoft SQL Server and SendPulse

How can I connect my Microsoft SQL Server account to SendPulse using Latenode?

To connect your Microsoft SQL Server account to SendPulse on Latenode, follow these steps:

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

Can I update SendPulse contacts from SQL Server data?

Yes, you can! Latenode's flexible data mapping allows automatic updates to SendPulse contacts based on changes in your Microsoft SQL Server database, keeping your marketing lists current and accurate.

What types of tasks can I perform by integrating Microsoft SQL Server with SendPulse?

Integrating Microsoft SQL Server with SendPulse allows you to perform various tasks, including:

  • Adding new contacts to SendPulse from new SQL Server records.
  • Updating contact properties in SendPulse based on SQL Server data changes.
  • Triggering automated email campaigns from SQL Server database events.
  • Segmenting SendPulse contacts based on SQL Server query results.
  • Syncing unsubscribe events from SendPulse back to your SQL Server database.

Can I use custom SQL queries within Latenode flows?

Yes, Latenode allows you to execute custom SQL queries, providing granular control over your data and enabling advanced filtering and transformations within your automations.

Are there any limitations to the Microsoft SQL Server and SendPulse integration on Latenode?

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

  • Large data transfers may impact workflow execution speed.
  • Complex SQL queries require knowledge of SQL syntax.
  • SendPulse API limits may affect the volume of actions performed.

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