How to connect PostgreSQL and Campaign Monitor
Create a New Scenario to Connect PostgreSQL and Campaign Monitor
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Campaign Monitor will be your first step. To do this, click "Choose an app," find PostgreSQL or Campaign Monitor, 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.


PostgreSQL

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


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Authenticate Campaign Monitor
Now, click the Campaign Monitor node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Campaign Monitor settings. Authentication allows you to use Campaign Monitor through Latenode.
Configure the PostgreSQL and Campaign Monitor 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 PostgreSQL and Campaign Monitor 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 donβt 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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AI Anthropic Claude 3
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Campaign Monitor
Trigger on Webhook
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring PostgreSQL, Campaign Monitor, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the PostgreSQL and Campaign Monitor integration works as expected. Depending on your setup, data should flow between PostgreSQL and Campaign Monitor (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 Campaign Monitor
PostgreSQL + Campaign Monitor + Slack: When new user data is added to PostgreSQL, this automation adds the user as a subscriber to a Campaign Monitor list and sends a welcome message to a Slack channel.
Campaign Monitor + PostgreSQL + Google Sheets: This workflow captures new subscribers from Campaign Monitor, inserts them into a PostgreSQL database, and then adds the subscriber information as a new row to a Google Sheet for weekly report generation.
PostgreSQL and Campaign Monitor 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.
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About Campaign Monitor
Use Campaign Monitor in Latenode to automate email marketing based on triggers from other apps. Sync contact lists, personalize campaigns, and track results directly within your workflows. Latenode adds scheduling, conditional logic, and data transformation for sophisticated, automated outreach, bypassing Campaign Monitor's limits.
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See how Latenode works
FAQ PostgreSQL and Campaign Monitor
How can I connect my PostgreSQL account to Campaign Monitor using Latenode?
To connect your PostgreSQL account to Campaign Monitor 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 Campaign Monitor accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically add new PostgreSQL database entries as Campaign Monitor subscribers?
Yes, you can! Latenode enables real-time synchronization, instantly adding new PostgreSQL entries to your Campaign Monitor lists. Benefit from streamlined data flow and automated subscriber management.
What types of tasks can I perform by integrating PostgreSQL with Campaign Monitor?
Integrating PostgreSQL with Campaign Monitor allows you to perform various tasks, including:
- Adding new PostgreSQL entries as subscribers in Campaign Monitor.
- Updating subscriber details in Campaign Monitor from PostgreSQL data.
- Triggering email campaigns based on PostgreSQL database events.
- Segmenting Campaign Monitor lists using PostgreSQL data attributes.
- Creating custom reports by combining data from both PostgreSQL and Campaign Monitor.
How secure is connecting PostgreSQL to Campaign Monitor within Latenode?
Latenode employs robust encryption and secure authentication protocols, ensuring the safe transfer and storage of your data across both PostgreSQL and Campaign Monitor.
Are there any limitations to the PostgreSQL and Campaign Monitor integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data migrations between PostgreSQL and Campaign Monitor may experience rate limits.
- Custom field mapping requires careful configuration to ensure data accuracy.
- Complex PostgreSQL queries might require optimization for efficient data retrieval.