Mautic and Microsoft SQL Server Integration

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Mautic

Microsoft SQL Server

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Mautic and Microsoft SQL Server

Create a New Scenario to Connect Mautic and Microsoft SQL Server

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

Add the Mautic Node

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

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Mautic

Configure the Mautic

Click on the Mautic node to configure it. You can modify the Mautic 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 SQL Server Node

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

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Authenticate Microsoft SQL Server

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

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

Most powerful ways to connect Mautic and Microsoft SQL Server

Mautic + Microsoft SQL Server + Slack: When a contact's points change in Mautic, their data is updated in Microsoft SQL Server, and a notification is sent to a Slack channel.

Microsoft SQL Server + Mautic + Google Sheets: When a new or updated row is detected in Microsoft SQL Server, contact data is updated in Mautic, and the event is logged in Google Sheets.

Mautic and Microsoft SQL Server integration alternatives

About Mautic

Automate marketing with Mautic in Latenode. Sync contacts, track campaigns, and trigger actions based on customer behavior. Integrate Mautic with other apps for a 360° view of your customers. Use Latenode's visual editor and code blocks to build custom workflows that adapt to your business needs without complex coding or expensive add-ons.

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.

Mautic + Microsoft SQL Server integration

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FAQ Mautic and Microsoft SQL Server

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

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

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

Can I sync new Mautic contacts to SQL Server?

Yes, you can! Latenode allows real-time contact synchronization using triggers, ensuring your SQL Server database is always up-to-date with new Mautic leads and contact details. Scale your lead management today!

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

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

  • Automatically backing up Mautic contact data to a secure SQL Server database.
  • Creating personalized marketing campaigns based on SQL Server data analysis.
  • Updating Mautic contact properties with information from your SQL Server.
  • Triggering Mautic events when specific data changes occur in SQL Server.
  • Generating custom reports combining Mautic analytics and SQL Server insights.

What Mautic triggers are available on Latenode for automation?

Latenode supports new contact, form submission, and segment membership change triggers, offering immediate automation upon Mautic events.

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

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

  • Initial data migration from Mautic to SQL Server may require manual configuration.
  • Complex SQL queries may require JavaScript knowledge for optimal performance.
  • Rate limits on the Mautic API may affect the speed of data synchronization.

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