Skip to All NYU Navigation Skip to Main Content

Analytics

Google Analytics is a self-service tool that provides analytical data on content pages of NYU.edu and its subdomains.

NYU also uses a statistics analysis program called Urchin that provides additional reports about who is visiting your website. Learn more about the Urchin service.

Account Eligibility

Full-time faculty and staff with active CMS accounts are automatically granted access to the shared NYU view in Google Analytics.

Considerations will be made for faculty, staff or graduate student staff who do not have active CMS accounts but hold positions involving data analysis for units who manage pages in the CMS. Employees sponsoring accounts for graduate student staff must take full responsibility for the student's actions within the service, including data exports and creation of shared assets. For questions on eligibility, please contact the Analytics Support team.

Helpful Resources

If you are new to Google Analytics, start by familiarizing yourself with the main reporting tools and controls available.

We also recommend viewing Google’s Analytics Academy videos, which are available free of charge and provide a comprehensive overview of how to use Google Analytics.

Refer to the Analytics Help Center for tutorials and guidelines for how to use Google Analytics.

Accessing Your Page Data

  • Step 1: Log in with your NYU NetID and Password.
    • When you first log in, you will see an aggregate view of data for all of www.nyu.edu.
    • Use the left-hand menu to view reports on audience demographics, user aquisition, and page interaction data.
  • Step 2: Adjust the date range using the dropdown menu in the top right corner to your desired timeframe.
  • Step 3: Click the tab labeled BEHAVIOR on the left-hand menu.
  • Step 4: From the Behavior tab:
    • Click on Site Content > All Pages. Insert your page path into the search bar on the right-hand side. OR:
    • Click on Site Content > Content Drilldown. Navigate through the directory to your desired page.

If you have questions on how to locate or interpret your page data, please contact the Analytics Support team.