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

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


RD Station

Configure the RD Station
Click on the RD Station node to configure it. You can modify the RD Station URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Creatomate Node
Next, click the plus (+) icon on the RD Station node, select Creatomate from the list of available apps, and choose the action you need from the list of nodes within Creatomate.


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Creatomate

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

JavaScript
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AI Anthropic Claude 3
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Creatomate
Trigger on Webhook
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RD Station
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring RD Station, Creatomate, 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 RD Station and Creatomate integration works as expected. Depending on your setup, data should flow between RD Station and Creatomate (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect RD Station and Creatomate
RD Station + Creatomate + Google Sheets: When a new lead conversion occurs in RD Station, a personalized video is generated using Creatomate. The video render details and lead information are then added as a new row in Google Sheets for tracking and analysis.
Creatomate + RD Station + Slack: When a marketing video is rendered by Creatomate, the corresponding lead's record is updated in RD Station with the video URL. The marketing team is then notified in Slack about the completed video and the updated lead information.
RD Station and Creatomate integration alternatives

About RD Station
Use RD Station in Latenode to automate marketing tasks. Update leads, trigger personalized emails, and track campaign performance, all inside automated workflows. Integrate RD Station data with other apps, enrich with AI, and build custom logic without code. Scale your marketing automation affordably and visually.
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About Creatomate
Automate video creation with Creatomate in Latenode. Generate personalized videos from data: product demos, social media content, or reports. Connect Creatomate to any data source and automate complex workflows with Latenode's visual editor, JavaScript support, and flexible API. Scale video production without manual effort.
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FAQ RD Station and Creatomate
How can I connect my RD Station account to Creatomate using Latenode?
To connect your RD Station account to Creatomate on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select RD Station and click on "Connect".
- Authenticate your RD Station and Creatomate accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize Creatomate videos from new RD Station leads?
Yes, you can! Latenode lets you trigger Creatomate video creation when a new lead enters RD Station, automatically tailoring content. This personalized approach boosts engagement, thanks to Latenode's flexibility.
What types of tasks can I perform by integrating RD Station with Creatomate?
Integrating RD Station with Creatomate allows you to perform various tasks, including:
- Automatically generating personalized videos for new RD Station leads.
- Updating video content based on changes in RD Station lead data.
- Sending Creatomate video links to RD Station leads via email marketing.
- Creating dynamic video ads triggered by RD Station marketing automation.
- Generating video reports based on RD Station campaign performance metrics.
Can I use JavaScript to manipulate data between RD Station and Creatomate?
Yes! Latenode allows custom JavaScript code blocks to transform data passing between RD Station and Creatomate, making complex data mapping simple.
Are there any limitations to the RD Station and Creatomate integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex video templates in Creatomate might require advanced knowledge.
- Real-time data synchronization depends on the RD Station API limits.
- Very large datasets might require optimization for efficient processing.