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

Add the ReachInbox Node
Select the ReachInbox node from the app selection panel on the right.

ReachInbox
Configure the ReachInbox
Click on the ReachInbox node to configure it. You can modify the ReachInbox URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the ReachInbox 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.
Configure the ReachInbox 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.
Set Up the ReachInbox 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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Webhook response

Save and Activate the Scenario
After configuring ReachInbox, 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 ReachInbox and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between ReachInbox 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 ReachInbox and Microsoft SQL Server
ReachInbox + Microsoft SQL Server + Slack: When a new lead is added in ReachInbox, the lead's information is inserted as a new row in a Microsoft SQL Server table. Then, a notification is sent via Slack to a designated channel to alert the sales team.
Microsoft SQL Server + ReachInbox + Google Sheets: On a new or updated row in Microsoft SQL Server, retrieve lead details from ReachInbox. Then, add a row in Google Sheets with information about the promising ReachInbox lead.
ReachInbox and Microsoft SQL Server integration alternatives
About ReachInbox
ReachInbox + Latenode: Automate cold outreach & personalize follow-ups at scale. Trigger campaigns from new leads, scraped data, or CRM updates. Latenode manages complex logic (filtering, scheduling, AI content creation) while ReachInbox handles email sending. Optimize deliverability and engagement in automated workflows.
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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.
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See how Latenode works
FAQ ReachInbox and Microsoft SQL Server
How can I connect my ReachInbox account to Microsoft SQL Server using Latenode?
To connect your ReachInbox account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select ReachInbox and click on "Connect".
- Authenticate your ReachInbox and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update customer data?
Yes, you can! Latenode's visual editor makes updating customer info seamless. This integration ensures your Microsoft SQL Server database reflects the latest ReachInbox engagement in real time, enhancing data accuracy.
What types of tasks can I perform by integrating ReachInbox with Microsoft SQL Server?
Integrating ReachInbox with Microsoft SQL Server allows you to perform various tasks, including:
- Backing up ReachInbox leads and conversations to Microsoft SQL Server.
- Creating new Microsoft SQL Server records from ReachInbox messages.
- Updating Microsoft SQL Server records with ReachInbox interaction data.
- Triggering ReachInbox campaigns based on Microsoft SQL Server data changes.
- Analyzing ReachInbox data stored in Microsoft SQL Server using custom queries.
Can I use JavaScript to transform ReachInbox data?
Absolutely! Latenode allows you to use JavaScript code blocks to modify ReachInbox data before it's written to Microsoft SQL Server, enabling complex data transformations.
Are there any limitations to the ReachInbox and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial setup requires basic database knowledge.
- Large data transfers may impact workflow execution time.
- Complex SQL queries need careful construction for optimal performance.