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

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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

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Authenticate Moosend
Now, click the Moosend node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moosend settings. Authentication allows you to use Moosend through Latenode.
Configure the Google Vertex AI and Moosend 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 Google Vertex AI and Moosend 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, Moosend, 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 Google Vertex AI and Moosend integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Moosend (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Moosend
Moosend + Google Vertex AI + Google Sheets: When a new subscriber is added to a Moosend list, analyze their email content using Vertex AI to determine sentiment. Log the email and sentiment score in Google Sheets for tracking positive feedback.
Moosend + Google Vertex AI + Slack: When a subscriber updates their information in Moosend, their new email is sent to Vertex AI for sentiment analysis. If the sentiment is negative, a notification is sent to a Slack channel to alert the marketing team.
Google Vertex AI and Moosend integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About Moosend
Use Moosend in Latenode to automate email marketing based on real-time data. Trigger campaigns from any app, personalize content with AI, and track results directly in your workflows. Latenode lets you connect Moosend to any data source, adding custom logic and scaling without code.
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See how Latenode works
FAQ Google Vertex AI and Moosend
How can I connect my Google Vertex AI account to Moosend using Latenode?
To connect your Google Vertex AI account to Moosend on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Moosend accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize emails with AI-generated content?
Yes, you can! Latenode lets you use Google Vertex AI to generate personalized content for your Moosend email campaigns, boosting engagement and conversions with minimal effort.
What types of tasks can I perform by integrating Google Vertex AI with Moosend?
Integrating Google Vertex AI with Moosend allows you to perform various tasks, including:
- Automatically creating targeted email segments based on AI-analyzed customer data.
- Generating personalized subject lines and email content with AI.
- Updating contact details in Moosend based on Google Vertex AI insights.
- Using AI to score leads and trigger automated email sequences in Moosend.
- Analyzing campaign performance data with AI to optimize future Moosend sends.
How does Latenode handle Google Vertex AI API authentication?
Latenode uses secure authentication methods, letting you safely connect and manage your Google Vertex AI API credentials directly within workflows.
Are there any limitations to the Google Vertex AI and Moosend integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Vertex AI and Moosend still apply.
- Complex AI models might require more processing time.
- The accuracy of AI-generated content depends on the quality of input data.