How to connect Google Vertex AI and SendPulse
Create a New Scenario to Connect Google Vertex AI and SendPulse
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 SendPulse will be your first step. To do this, click "Choose an app," find Google Vertex AI or SendPulse, 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 SendPulse Node
Next, click the plus (+) icon on the Google Vertex AI node, select SendPulse from the list of available apps, and choose the action you need from the list of nodes within SendPulse.

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SendPulse

Authenticate SendPulse
Now, click the SendPulse node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your SendPulse settings. Authentication allows you to use SendPulse through Latenode.
Configure the Google Vertex AI and SendPulse 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 SendPulse 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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SendPulse
Trigger on Webhook
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Google Vertex AI
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, SendPulse, 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 SendPulse integration works as expected. Depending on your setup, data should flow between Google Vertex AI and SendPulse (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 SendPulse
SendPulse + Google Vertex AI + Google Sheets: When a subscriber event occurs in SendPulse (e.g., subscription, unsubscription), the subscriber's email is used to retrieve related emails. Google Vertex AI analyzes the sentiment of these emails. The sentiment score, along with subscriber data, is then added to a new row in Google Sheets.
SendPulse + Google Vertex AI + Slack: When a SendPulse campaign performs poorly (defined by user in SendPulse or through some metric), use Google Vertex AI to generate improved subject lines for the campaign. Send a notification to a Slack channel with the suggested subject lines for the marketing team's review.
Google Vertex AI and SendPulse 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 SendPulse
Use SendPulse in Latenode for automated email & SMS marketing. Trigger campaigns based on real-time events, segment contacts dynamically, and personalize messages using data from any app. Automate list cleaning and optimize send times in response to user behavior. Connect SendPulse to any data source for smarter, event-driven communication workflows.
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FAQ Google Vertex AI and SendPulse
How can I connect my Google Vertex AI account to SendPulse using Latenode?
To connect your Google Vertex AI account to SendPulse 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 SendPulse accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize email marketing using AI-generated content?
Yes, you can! Latenode lets you use Vertex AI to generate personalized content, then automatically send it via SendPulse. Improve engagement with unique, data-driven messaging.
What types of tasks can I perform by integrating Google Vertex AI with SendPulse?
Integrating Google Vertex AI with SendPulse allows you to perform various tasks, including:
- Generate personalized email subject lines with AI.
- Analyze customer sentiment and trigger targeted campaigns.
- Create AI-powered chatbots to qualify leads.
- Automatically update contact lists based on AI insights.
- Craft unique promotional content tailored to customer segments.
How do I use Vertex AI models within my Latenode SendPulse workflows?
Simply add a Vertex AI block, configure your model, and map data from previous steps. Latenode handles authentication and data transfer securely.
Are there any limitations to the Google Vertex AI and SendPulse integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from both Google Vertex AI and SendPulse apply.
- Complex AI models may require significant processing time.
- Custom code might be needed for highly specific use cases.