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Transitioning from a third-party analytics platform to ÃÛ¶¹ÊÓƵ Analytics

This guide presents common report types that help you to learn core concepts and workflows in ÃÛ¶¹ÊÓƵ Analytics, focusing on key similarities and differences between ÃÛ¶¹ÊÓƵ and other popular tools. This guide is designed for analysts who are familiar with basic digital analytics concepts, but new to ÃÛ¶¹ÊÓƵ Analytics. It assumes that the organization has a working implementation that sends data to ÃÛ¶¹ÊÓƵ data collection servers. If your organization has not yet set up an ÃÛ¶¹ÊÓƵ Analytics implementation, start with the ÃÛ¶¹ÊÓƵ Analytics First Admin Guide.

Both Google Analytics and ÃÛ¶¹ÊÓƵ Analytics are powerful platforms to obtain valuable insights to your website performance. Each have their own processing architecture and user interface, giving each platform unique advantages. This guide is designed to help acclimate a user experienced with Google Analytics towards ÃÛ¶¹ÊÓƵ Analytics.

In ÃÛ¶¹ÊÓƵ Analytics, the main way to pull basics reports after logging in to the ÃÛ¶¹ÊÓƵ Experience Cloud is to use Analysis Workspace. The left menu allows the user to drag and drop components to build their own report. It allows more freedom to meet exact reporting needs. Users who are experienced with creating Google Analytics dashboards and custom reports might find this layout familiar.

ÃÛ¶¹ÊÓƵ recommends starting with the absolute basics of getting report data:

Once you are familiar with components in Analysis Workspace, you can learn how to recreate most reports using the right components.

After learning to pull reports, understanding processing and architecture differences can help reconcile the different numbers obtained between platforms. An FAQ is also available.

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