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

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

Google Chat
Configure the Google Chat
Click on the Google Chat node to configure it. You can modify the Google Chat 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 Chat 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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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 Chat 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 Chat 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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Webhook response
Save and Activate the Scenario
After configuring Google Chat, 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 Chat and Google Analytics integration works as expected. Depending on your setup, data should flow between Google Chat 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 Chat and Google Analytics
Google Chat + Google Analytics + Google Sheets: When a new feature announcement is posted in Google Chat, this automation runs a Google Analytics report to measure website traffic related to the feature. The results are then logged in a Google Sheet for tracking and analysis.
Google Analytics + Google Chat + Slack: When a traffic anomaly is detected based on Google Analytics data, triggered potentially by a Google Chat announcement, a notification is sent to the marketing team in a dedicated Slack channel.
Google Chat and Google Analytics integration alternatives
About Google Chat
Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.
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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 Chat and Google Analytics
How can I connect my Google Chat account to Google Analytics using Latenode?
To connect your Google Chat account to Google Analytics on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Chat and click on "Connect".
- Authenticate your Google Chat and Google Analytics accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track Google Chat support requests in Analytics?
Yes, you can! Latenode lets you send chat data to Google Analytics, providing insights into support efficiency and customer behavior. Analyze trends with custom reports.
What types of tasks can I perform by integrating Google Chat with Google Analytics?
Integrating Google Chat with Google Analytics allows you to perform various tasks, including:
- Automatically tracking new Google Chat support channel members.
- Logging new Google Chat messages as events in Google Analytics.
- Monitoring the response time in Google Chat and analyzing trends.
- Sending custom event data to Google Analytics based on chat commands.
- Visualizing Google Chat activity alongside website traffic data.
How do I trigger workflows based on new Google Chat messages?
Use Latenode's Google Chat trigger to start workflows when new messages arrive. Process, analyze, and route data instantly with no-code steps.
Are there any limitations to the Google Chat and Google Analytics integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Historical Google Chat data prior to integration setup isn't accessible.
- Customizable data sampling in Google Analytics might affect accuracy.
- The number of API requests depends on your Google accounts' limits.