Comment on page
- 1.Select an app in the top left corner from the Switcher
- 2.Navigate to App Settings by clicking the gear icon (⚙️) at the top of the Timeline sidebar
- 3.Click on Integrations in the sidebar
- 1.Find the Google Analytics integration module under the Observability & analytics section
- 2.Click the Connect button
- 3.Enter the Property ID for your Google Analytics configuration and upload a Service Account key .json file corresponding to a service account that's properly configured to access Google Analytics.
When configuring a service account to access Google Analytics data, there are a few steps to take note of:
- 1.The service account can be set up with the Service Account User role.
- 2.The Google Cloud project your service account is part of must have the Google Analytics Admin API (required to fetch data streams) and Google Analytics Data API (required to fetch event data) enabled. You can enable these APIs from your Google Cloud project by going to APIs & Services > Enable APIs & Services and searching for the corresponding APIs.
- 3.The service account's email address must be added to your Google Analytics account. You can do this by going to Admin > Account Access Management > Add access permissions to new users (+ button) and then adding the service account's email address with the Viewer role.
- 1.Select a Data Stream ID from the list of available data streams associated with your Google Analytics property.
- 2.Select up to 8 events from your Google Analytics account and property to monitor from Runway. Additionally, you can specify event metrics (e.g.
checkouts) to track metric-specific metrics such as averages, medians, and percentiles.
When selected events include an associated metric, Runway will compute additional metrics automatically, such as Average value, Median value, and Percentile metrics. For more information on Google Analytics metrics including default metrics collected, visit their documentation. Reminder that custom metrics must be added to your account and property in Google Analytics before they can be queried. For more information on custom metrics, go here.