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Google Analyitcs: Painting by Numbers
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Google Analyitcs: Painting by Numbers



A novice leading other novices...

A novice leading other novices...



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  • Compare pageviews to unique pageviews. Time on page this before redesign to after redesign. Data is only as good as August 1st. Like a new car, gas mileage is not accurate yet.
  • Quantitative = What? / Qualitative=Why?
  • As defined by Google Analytics. *See Web Analytics Association for their standards: http://www.webanalyticsassociation.org/attachments/committees/5/WAA_Web_Analytics_Definitions_20080922_For_Public_Comment.pdf
  • See http://code.google.com/apis/analytics/docs/tracking/eventTrackerGuide.html
  • * What is the type of page? Do you want them to find what they want & move from it quickly?
  • Direct traffic. Keywords are external not internal for public until new version of CMS goes live. Beta possible for Spring semester.
  • These are your storefronts or anchors stores for your site.

Google Analyitcs: Painting by Numbers Google Analyitcs: Painting by Numbers Presentation Transcript

  • Painting by Numbers:Google Analytics
  • So What?
    Ask yourself “so what” 3 times.
    What can you do with this data?
    If you can’t do anything, it’s not useful.
  • Look for Trends
    Numbers in a vacuum do not mean much.
    Can you compare it to something?
    Can you look at the data over time?
  • Don’t Forget Qualitative Data!
    Must know visitors and pages to interpret analytics data (quantitative).
    Use surveys, focus groups, or informal chats with visitors to find out about how they use the site (qualitative).
  • Filter & Segment
    Make sense of the data by looking at a subset: your subject library or department, new visitors, iPhone users, etc.
    Combine to create advanced segments: new visitors with iPhones, etc.
  • What Do All These Numbers Mean?
    %New Visits
    Bounce Rate
    Avg. Time on Site
    Traffic Sources
  • Google Analytics Dashboard
  • Google Analytics Dashboard
  • Visits & % New Visits
    Measured by cookies.
    From the time a site is accessed until browser is closed or user is inactive for 30 minutes.
    % New Visits
    Measured by cookies.
    What about visitors who don’t allow cookies or remove them?
  • Visits & % New Visits
  • Visits & % New Visits
  • Pageviews & Pages/Visit
    An instance of a page being loaded by a browser.
    Relies on changing URL.
    Average number of pages accessed in a visit.
    “Visit” as defined previously.
    Activity on rich media (Flash, etc.) sites will not show up as pageviews without special code.
  • Pageviews & Pages/Visit
  • Pageviews & Pages/Visit
  • Bounce Rate
    Percentage of visits that left your site after a single page
    • Look at what page they are on and where they are going. Did they print the page? Did they go to another Libraries site?
    • Combine Bounce Rate with Keywords or Avg. Time on Site to find out more.
    • Prioritize bounce rate by most popular landing page.
    • Look at particular segments to make sure you aren’t losing visitors you want.
  • Bounce Rate
  • Bounce Rate
  • Avg. Time on Site
    Calculated by timestamps for each page.
    No way to tell how much time was spent on last page.
    Did they find what they want or just give up? What can you really do with this information?
  • Avg. Time on Site
  • Avg. Time on Site
  • Traffic Sources
    Referring Sites
    URL where visitor originated before arriving at your site
    Search terms that led visitors to your site.
    “So what?”
    • Try sorting these to find out which give you higher Bounce Rates, fewer Pages/Visit, etc.
    • Create a segment and look at these areas.
  • Traffic Sources
  • Traffic Sources
  • Content
    why people come to your site & what they are looking for
    Try viewing as Content by Title
    Landing Pages
    core entry points for visitors (not just your home page)
    Try sorting Top Content or Landing Pages on Unique Pageviews, Bounce Rate, Etc.
  • Content
  • Content
  • Site Overlay
    Visual representation of what links are being visited on site
    Puts the data in the context of the site.
    Use it to decide which links can or should be changed.
  • Hands-On Training Sessions
  • Google Analytics Resources
    Kyle James’ Presenations
    Avanish Kaushik's Blog & Web Analytics an Hour a Day
    Shelby Thayer's Blog
    Web Analytics Association
    Google Analytics Blog
    Google Analytics Help:
    Getting Started
    Analytics IQ
    Analytics Help Forum
    ITS Technology Training Community
    https://wikispaces.psu.edu/display/training/Google+Analytics+Training and click Google Analytics Resources.
  • Questions