Google Analytics and Nimble Integration

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Enrich Nimble CRM with Google Analytics data to identify high-value leads based on website behavior. Latenode's visual editor makes custom scoring logic simple, while affordable execution-based pricing allows scaling without cost concerns.

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Google Analytics

Nimble

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Analytics and Nimble

Create a New Scenario to Connect Google Analytics and Nimble

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 Analytics, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Analytics or Nimble will be your first step. To do this, click "Choose an app," find Google Analytics or Nimble, and select the appropriate trigger to start the scenario.

Add the Google Analytics Node

Select the Google Analytics node from the app selection panel on the right.

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Google Analytics

Configure the Google Analytics

Click on the Google Analytics node to configure it. You can modify the Google Analytics URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect Google Analytics

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Run node once

Add the Nimble Node

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

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Authenticate Nimble

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

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Configure the Google Analytics and Nimble 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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The action ID

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Run node once

Set Up the Google Analytics and Nimble 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 Analytics, Nimble, 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 Analytics and Nimble integration works as expected. Depending on your setup, data should flow between Google Analytics and Nimble (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Analytics and Nimble

Google Analytics + Nimble + Slack: Track website traffic using Google Analytics. When a key event occurs, find a contact in Nimble based on the user's email and notify the sales team in Slack.

Nimble + Google Analytics + Google Sheets: When a new contact is created in Nimble, run a report in Google Analytics to track their website interaction and save the data to a Google Sheet.

Google Analytics and Nimble integration alternatives

About Google Analytics

Automate marketing insights using Google Analytics within Latenode. Track user behavior and trigger actions based on key metrics. Send data to CRMs, databases, or ad platforms automatically. Latenode streamlines analysis workflows without code, offering flexible logic and integrations, unlike manual reporting or limited point solutions.

About Nimble

Use Nimble within Latenode to enrich contact data and automate outreach. Update your CRM, personalize emails, and trigger follow-ups based on engagement—all visually. Latenode handles the workflow logic and scale, while Nimble provides targeted contact intelligence for smarter automation.

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FAQ Google Analytics and Nimble

How can I connect my Google Analytics account to Nimble using Latenode?

To connect your Google Analytics account to Nimble on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Analytics and click on "Connect".
  • Authenticate your Google Analytics and Nimble accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I trigger Nimble contact creation from Google Analytics events?

Yes, you can! With Latenode, automatically create Nimble contacts from specific Google Analytics events. This ensures your CRM is always up-to-date, improving sales outreach efficiency.

What types of tasks can I perform by integrating Google Analytics with Nimble?

Integrating Google Analytics with Nimble allows you to perform various tasks, including:

  • Create new Nimble contacts from high-value website visitors.
  • Update Nimble contact details based on Google Analytics data.
  • Trigger email campaigns in Nimble based on website activity.
  • Segment Nimble contacts based on Google Analytics behavior.
  • Log website conversions as activities in Nimble.

What Google Analytics metrics can I access inside Latenode?

Latenode lets you access almost any Google Analytics metric, from sessions and bounce rate to conversions. Use these values to build powerful automations.

Are there any limitations to the Google Analytics and Nimble integration on Latenode?

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

  • Historical data migration requires custom scripting.
  • Sampling may occur in Google Analytics reports for large datasets.
  • Complex custom dimensions in Google Analytics require advanced configuration.

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