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Help CenterData IntegrationIntegrating with Google Analytics API

Integrating with Google Analytics API

Last updated April 17, 2024

Introduction: Google Analytics is a powerful tool for tracking website and app traffic, and integrating it with Chartbrew allows you to visualize and analyze your analytics data in one place. In this guide, we'll walk you through the simple steps to integrate Google Analytics with Chartbrew using the Google Analytics API.

Step-by-Step Guide:

  1. Navigate to Data Sources: Log in to your Chartbrew account and navigate to the "Data Sources" page from the dashboard menu.
  2. Click on "Connect Data Source": On the Data Sources page, click on the "Connect Data Source" button to initiate the process of adding a new data source.
  3. Select Google Analytics API: From the list of supported data source types, select "Google Analytics API" as the type of data source you want to connect to Chartbrew.
  4. Authenticate with Google Account: You'll be prompted to authenticate with your Google account to grant Chartbrew access to your Google Analytics data. Follow the on-screen instructions to sign in to your Google account and authorize access.
  5. Select Google Analytics Property: After authenticating, select the Google Analytics property you want to integrate with Chartbrew from the list of properties associated with your Google account.
  6. Configure Data Parameters: Define the parameters for fetching data from Google Analytics, such as the metrics (e.g., sessions, pageviews) and dimensions (e.g., date, source) you want to retrieve.
  7. Set Date Range: Specify the date range for the data you want to import into Chartbrew. You can choose from predefined date ranges or specify custom start and end dates.
  8. Optional: Apply Filters and Segments: Optionally, apply filters and segments to your Google Analytics data to narrow down the data you want to import based on specific criteria such as traffic sources, user demographics, or behavior.
  9. Configure Import Settings: Configure any additional import settings such as data refresh intervals, query parameters, or data sampling options to suit your requirements.
  10. Save and Import Data: Once you've configured all the necessary settings, click on the "Save and Import Data" button to initiate the data import process from Google Analytics.
  11. Monitor Import Progress: Chartbrew will start importing data from Google Analytics into your Chartbrew project. Monitor the import progress to ensure that all data is imported successfully.
  12. Explore Imported Data: Congratulations! You've successfully integrated Google Analytics with Chartbrew. Take some time to explore the imported data and start creating visualizations and dashboards to analyze it.
  13. Seek Help if Needed: If you encounter any difficulties during the integration process, don't hesitate to consult the Chartbrew Help Center or reach out to our support team for assistance.

That's it! You're now ready to leverage the power of Chartbrew to visualize and analyze your Google Analytics data alongside other data sources.

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