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

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

Save and Activate the Scenario
After configuring Google Analytics, Miro, 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 Miro integration works as expected. Depending on your setup, data should flow between Google Analytics and Miro (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 Miro
Google Analytics + Slack + Miro: When Google Analytics detects a significant drop in website traffic by running a report, a notification is sent to a Slack channel. This prompts a team review, encouraging them to use a specific Miro board for brainstorming solutions.
Miro + Jira + Google Analytics: When a new item is created or updated on a Miro board (reflecting an actionable task), a Jira issue is automatically created. Subsequently, Google Analytics is updated with a key event to track the impact of this Jira ticket on website performance.
Google Analytics and Miro 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 Miro
Automate Miro board updates based on triggers from other apps. Latenode connects Miro to your workflows, enabling automatic creation of cards, text, or frames. Update Miro based on data from CRMs, databases, or project management tools, reducing manual work. Perfect for agile project tracking and visual process management, inside fully automated scenarios.
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FAQ Google Analytics and Miro
How can I connect my Google Analytics account to Miro using Latenode?
To connect your Google Analytics account to Miro 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 Miro accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I visualize Google Analytics data on Miro boards?
Yes, you can! Latenode allows automated data transfer, enriching Miro boards with real-time Google Analytics insights. Improve your team's strategic overview and facilitate data-driven decisions.
What types of tasks can I perform by integrating Google Analytics with Miro?
Integrating Google Analytics with Miro allows you to perform various tasks, including:
- Automatically create Miro sticky notes for traffic spike alerts.
- Generate Miro cards summarizing Google Analytics weekly reports.
- Update Miro diagrams with real-time conversion rate data.
- Visualize user behavior flows from Google Analytics on Miro boards.
- Share key Google Analytics metrics on dedicated Miro dashboards.
How do I access historical Google Analytics data within Latenode workflows?
Latenode provides full access to historical Google Analytics data via its API integration. Use it to populate Miro boards for trend analysis.
Are there any limitations to the Google Analytics and Miro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The number of API calls to Google Analytics is subject to Google's rate limits.
- Complex Miro board structures may require advanced workflow configurations.
- Real-time data synchronization is subject to the polling interval you configure.