How to connect Google Analytics and LearnDash
Create a New Scenario to Connect Google Analytics and LearnDash
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 LearnDash will be your first step. To do this, click "Choose an app," find Google Analytics or LearnDash, 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.

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

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

JavaScript
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AI Anthropic Claude 3
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LearnDash
Trigger on Webhook
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Google Analytics
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Analytics, LearnDash, 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 LearnDash integration works as expected. Depending on your setup, data should flow between Google Analytics and LearnDash (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 LearnDash
Google Analytics + LearnDash + Slack: This automation monitors Google Analytics for user behavior on LearnDash courses. When Analytics detects a significant drop in engagement on a specific course page, a notification is sent to the relevant instructor in Slack to investigate the issue.
LearnDash + Google Analytics + Google Sheets: This automation logs course completion data from LearnDash and user engagement data from Google Analytics into a Google Sheet. Whenever a user completes a course in LearnDash, the user's engagement data from Google Analytics, related to that course, is retrieved and added as a new row to a specified Google Sheet, providing a comprehensive report for analysis.
Google Analytics and LearnDash 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.
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About LearnDash
Automate LearnDash course management in Latenode. Enroll users automatically, send progress updates, and trigger actions in other apps based on course completion. Keep student data in sync with your CRM and marketing tools. Build custom learning paths visually; scale processes without code or per-step fees.
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See how Latenode works
FAQ Google Analytics and LearnDash
How can I connect my Google Analytics account to LearnDash using Latenode?
To connect your Google Analytics account to LearnDash 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 LearnDash accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track LearnDash course completions in Google Analytics?
Yes, you can! Latenode's visual editor allows you to easily send LearnDash completion data to Google Analytics. Analyze course performance and user engagement without coding.
What types of tasks can I perform by integrating Google Analytics with LearnDash?
Integrating Google Analytics with LearnDash allows you to perform various tasks, including:
- Track user enrollment in specific LearnDash courses.
- Analyze the effectiveness of different course modules.
- Send event data on lesson completion to Google Analytics.
- Automatically generate reports on student progress.
- Personalize learning paths based on analytics data.
Can I automate anomaly detection for Google Analytics data?
Yes! Use Latenode's AI blocks to detect unusual traffic patterns in Google Analytics and trigger alerts or actions in LearnDash to address potential issues proactively.
Are there any limitations to the Google Analytics and LearnDash integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Historical data from before the integration won't be automatically synced.
- Real-time data updates may be subject to API rate limits of both platforms.
- Custom events require careful planning to align data structures.