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

Add the Google tasks Node
Select the Google tasks node from the app selection panel on the right.


Google tasks

Configure the Google tasks
Click on the Google tasks node to configure it. You can modify the Google tasks URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Analytics Node
Next, click the plus (+) icon on the Google tasks node, select Google Analytics from the list of available apps, and choose the action you need from the list of nodes within Google Analytics.


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Google Analytics

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

Save and Activate the Scenario
After configuring Google tasks, Google Analytics, 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 tasks and Google Analytics integration works as expected. Depending on your setup, data should flow between Google tasks and Google Analytics (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google tasks and Google Analytics
Google Analytics + Google Tasks + Google Calendar: When a Google Analytics report indicates a project is behind schedule, a task is created in Google Tasks to address the issue. Then, Google Calendar creates an event to dedicate time to working on the task.
Google Analytics + Google Tasks + Slack: When website traffic in Google Analytics drops below a certain threshold, a task is created in Google Tasks to investigate the cause. A Slack message is then sent to the marketing team to alert them to the issue.
Google tasks and Google Analytics integration alternatives

About Google tasks
Tired of manually updating task lists? Connect Google Tasks to Latenode. Automatically create, update, or close tasks based on triggers from other apps. Streamline project management and keep teams aligned by connecting tasks to your workflows, avoiding manual updates and ensuring tasks reflect real-time activity.
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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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See how Latenode works
FAQ Google tasks and Google Analytics
How can I connect my Google tasks account to Google Analytics using Latenode?
To connect your Google tasks account to Google Analytics on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google tasks and click on "Connect".
- Authenticate your Google tasks and Google Analytics accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track task completion impact on website traffic?
Yes, you can! Latenode's visual editor simplifies linking Google tasks to Google Analytics, revealing how completed tasks influence website visits, boosting your data-driven insights.
What types of tasks can I perform by integrating Google tasks with Google Analytics?
Integrating Google tasks with Google Analytics allows you to perform various tasks, including:
- Log Google tasks completions as events in Google Analytics.
- Trigger website content updates based on task progress.
- Monitor campaign task completion impact on goal conversions.
- Create custom dashboards visualizing task efficiency.
- Analyze which task types drive the most website engagement.
Can I filter Google tasks data before sending it to Google Analytics?
Yes! Latenode allows filtering task data using JavaScript or AI steps before updating Google Analytics for focused reporting.
Are there any limitations to the Google tasks and Google Analytics integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time data synchronization might experience slight delays.
- Complex data transformations require JavaScript knowledge.
- Historical data import from Google tasks to Google Analytics has limits.