PostgreSQL and Salesmate Integration

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Keep your Salesmate CRM data synced with PostgreSQL databases for advanced reporting and analytics. Latenode lets you build custom logic with JavaScript, and scale affordably, paying only for execution time.

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PostgreSQL

Salesmate

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and Salesmate

Create a New Scenario to Connect PostgreSQL and Salesmate

In the workspace, click the β€œCreate 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 PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Salesmate will be your first step. To do this, click "Choose an app," find PostgreSQL or Salesmate, and select the appropriate trigger to start the scenario.

Add the PostgreSQL Node

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

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Configure the PostgreSQL

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

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Run node once

Add the Salesmate Node

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

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Authenticate Salesmate

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

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Configure the PostgreSQL and Salesmate 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 PostgreSQL and Salesmate 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 PostgreSQL, Salesmate, 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 β€œRun once” and triggering an event to check if the PostgreSQL and Salesmate integration works as expected. Depending on your setup, data should flow between PostgreSQL and Salesmate (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PostgreSQL and Salesmate

PostgreSQL + Salesmate + Slack: When a new deal is created in Salesmate, the deal information is inserted into a PostgreSQL database. Subsequently, a congratulatory message is sent to a designated Slack channel to notify the sales team.

Salesmate + PostgreSQL + Google Sheets: When a deal is updated in Salesmate, specifically when the deal is closed, the deal information is updated in the PostgreSQL database and relevant metrics are added as a new row in a Google Sheet for reporting purposes.

PostgreSQL and Salesmate integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

About Salesmate

Automate Salesmate tasks within Latenode to streamline sales processes. Trigger actions like lead creation or deal updates based on events in other apps. Connect Salesmate to your marketing stack, enrich data, and manage follow-ups using visual workflows and custom logic, avoiding manual data entry. Scale your sales automation without code, paying only for execution time.

See how Latenode works

FAQ PostgreSQL and Salesmate

How can I connect my PostgreSQL account to Salesmate using Latenode?

To connect your PostgreSQL account to Salesmate on Latenode, follow these steps:

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

Can I automatically update Salesmate contacts from PostgreSQL data?

Yes, you can! Latenode's visual editor and advanced data mapping ensure seamless contact updates, improving data accuracy and saving valuable time.

What types of tasks can I perform by integrating PostgreSQL with Salesmate?

Integrating PostgreSQL with Salesmate allows you to perform various tasks, including:

  • Automatically creating new Salesmate contacts from PostgreSQL database entries.
  • Updating Salesmate deal stages based on data changes in PostgreSQL.
  • Generating custom reports in Salesmate using data pulled from PostgreSQL.
  • Triggering email campaigns in Salesmate based on PostgreSQL data analysis.
  • Backing up Salesmate data to a PostgreSQL database for enhanced security.

How secure is the PostgreSQL connection in Latenode?

Latenode uses secure connections and encryption protocols to ensure your PostgreSQL data is protected during integration and data transfer.

Are there any limitations to the PostgreSQL and Salesmate integration on Latenode?

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

  • Initial data synchronization may require manual configuration for complex datasets.
  • Real-time data updates depend on the polling interval and API rate limits of both apps.
  • Custom JavaScript code might be needed for extremely complex data transformations.

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