Google Vertex AI and HubSpot Integration

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Enrich HubSpot contacts with AI-driven insights from Google Vertex AI using Latenode's visual editor. Build custom logic with JavaScript for nuanced analysis and scale affordably, paying only for execution time.

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Google Vertex AI

HubSpot

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and HubSpot

Create a New Scenario to Connect Google Vertex AI and HubSpot

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 HubSpot will be your first step. To do this, click "Choose an app," find Google Vertex AI or HubSpot, 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.

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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.

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Run node once

Add the HubSpot Node

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

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Authenticate HubSpot

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

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Configure the Google Vertex AI and HubSpot 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 Google Vertex AI and HubSpot 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 Google Vertex AI, HubSpot, 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 HubSpot integration works as expected. Depending on your setup, data should flow between Google Vertex AI and HubSpot (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 HubSpot

HubSpot + Google Vertex AI + Slack: When new feedback is submitted in HubSpot through a form, the content is analyzed by Google Vertex AI to determine sentiment. A summary of the sentiment analysis is then posted to a designated Slack channel.

HubSpot + Google Vertex AI + Google Sheets: When a new contact is created in HubSpot, their information is sent to Google Vertex AI for lead scoring using a pre-defined prompt. The resulting lead score is then updated in a specific row of a Google Sheet.

Google Vertex AI and HubSpot 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.

About HubSpot

Sync HubSpot contacts, deals, and marketing data with other apps in Latenode for automated workflows. Update records, trigger email sequences based on behavior, or generate reports. Use Latenode’s visual editor and affordable pricing to build complex, scalable marketing automation without code or per-step fees. Connect to CRMs, databases, and analytics tools.

See how Latenode works

FAQ Google Vertex AI and HubSpot

How can I connect my Google Vertex AI account to HubSpot using Latenode?

To connect your Google Vertex AI account to HubSpot 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 HubSpot accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically enrich leads with AI-generated insights?

Yes, you can! Latenode allows enriching HubSpot leads with Google Vertex AI-driven insights, improving lead scoring and personalization using AI models and custom logic.

What types of tasks can I perform by integrating Google Vertex AI with HubSpot?

Integrating Google Vertex AI with HubSpot allows you to perform various tasks, including:

  • Analyzing customer sentiment from HubSpot emails using Vertex AI.
  • Generating personalized content for HubSpot marketing campaigns.
  • Automatically classifying support tickets using AI models.
  • Predicting lead conversion rates based on historical data.
  • Creating AI-powered chatbots for HubSpot's live chat feature.

How does Latenode handle Google Vertex AI data transformation?

Latenode offers visual data mapping and JavaScript code blocks to transform data between Google Vertex AI and HubSpot.

Are there any limitations to the Google Vertex AI and HubSpot integration on Latenode?

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

  • Complex AI model training requires careful resource allocation.
  • Data transfer speeds depend on the size of data processed.
  • Integration relies on API availability and rate limits.

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