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

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Authenticate Moco
Now, click the Moco node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moco settings. Authentication allows you to use Moco through Latenode.
Configure the Google Analytics and Moco 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 Moco 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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Moco
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, Moco, 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 Moco integration works as expected. Depending on your setup, data should flow between Google Analytics and Moco (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 Moco
Google Analytics + Moco + Slack: Monitors website traffic from Google Analytics using the 'Watch Events (Instant)' trigger. When a key event occurs, it finds project data in Moco via 'Find Companies', then sends a customized notification to a Slack channel using 'Send Public Channel Message'.
Moco + Google Analytics + Google Sheets: Tracks project time entries in Moco, fetches website traffic data from Google Analytics by running a report, and then compiles the combined data into a Google Sheet using 'Add Multiple Rows' to generate reports.
Google Analytics and Moco 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 Moco
Use Moco in Latenode to track time and expenses. Automate reporting, invoice creation, and project budget monitoring. Connect Moco to accounting or CRM systems for streamlined financial workflows. Build flexible, customized solutions without code, and scale automations as your business grows inside Latenode's visual environment.
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FAQ Google Analytics and Moco
How can I connect my Google Analytics account to Moco using Latenode?
To connect your Google Analytics account to Moco 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 Moco accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track ad spend ROI using Google Analytics and Moco?
Yes, easily! Latenode allows you to automate ROI calculations by syncing ad campaign costs from Moco with conversion data from Google Analytics, providing real-time performance insights.
What types of tasks can I perform by integrating Google Analytics with Moco?
Integrating Google Analytics with Moco allows you to perform various tasks, including:
- Automatically generate project performance reports with Google Analytics data.
- Sync Moco project hours to Google Analytics as custom events.
- Create custom dashboards combining project and website analytics.
- Trigger Moco project updates based on Google Analytics conversion goals.
- Automate alerts for underperforming campaigns using AI-powered insights.
Can I filter Google Analytics data before sending to Moco?
Yes, Latenode’s data transformers and JavaScript code blocks allow you to filter and reshape Google Analytics data before it reaches Moco.
Are there any limitations to the Google Analytics and Moco integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Historical data migration requires custom scripting due to API limits.
- Real-time data updates depend on the Google Analytics and Moco API refresh rates.
- Complex data transformations might require advanced JavaScript knowledge.