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Better Living Through Web Metrics

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Title: Better Living Through Web Metrics


1
Better Living Through Web Metrics
  • Kathy Farrell, Empire State College
  • Ned Stankus, Hamilton College
  • Melissa Meehan, Buffalo State College
  • MaryAnn Stopha, SUNY Geneseo

2
Overview
  • Introduction
  • What ARE web metrics?
  • Why Use Them?
  • Server Logs
  • Other Data Sources
  • Wrap-up

3
What ARE Web Metrics?
  • Metric
  • A measurement of a characteristic of an object
    or activity. The measurement is done using a
    consistent method, at consistent intervals, in
    order to assess, monitor and/or communicate
    information about the object or activity. Metrics
    may be quantitative or qualitative.

4
What ARE Web Metrics?
  • Web Metrics
  • Metrics used to assess and monitor activity on a
    web site, usually to study how well the site
    meets its objectives. Sometimes also called "web
    analytics," although some writers make
    distinctions between metrics and analytics.

5
Why Use Web Metrics?
  • Monitor activity on the site
  • Improve understanding of user behavior
  • Identify and prioritize apparent problems
  • Improve the sites usability
  • Help us test whether what we believe about the
    web site is real
  • Make decisions about the site based on data
    rather than beliefs

6
Server Logs The Basics
  • What is a server log?
  • Why bother analyzing the server log?
  • Common analysis tools

7
Server Logs A Sample Entry
  • 64.12.102.33 www.esc.edu - 16/dec/2003000409
    -0500 "get /esconline/online2.nsf/eschome?openfor
    m http/1.1" 200 21691 "http//www.google.com/searc
    h?hlenieiso-8859-1qempirestatecollege"
    "mozilla/4.0 (compatible msie 5.0 aol 8.0
    windows 98 digext)" 203 "" "e/lotus/domino/data/
    esconline/online2.nsf"

8
Server Logs Fields in the Sample Entry
  • remotehost 64.12.102.33
  • rfc931 www.esc.edu
  • authuser -
  • date 16/dec/2003000409 -0500
  • request "get /esconline/online2.nsf/eschome?ope
    nform
  • http/1.1"
  • status 200
  • bytes 21691

9
Server Logs Fields in the Sample Entry
  • referrer "http//www.google.com/search?hlen
  • ieiso-8859-1qempirestatecollege"
  • user-agent "mozilla/4.0 (compatible msie 5.0
    aol 8.0
  • windows 98 digext)"
  • processing time 203
  • cookies ""
  • translated URL "e/lotus/domino/data/esconline/on
    line2.nsf"

10
Server Logs Common Analysis Tools
  • Basic results What the logs can tell you, and
    how you can use the information
  • Deceptive results What the logs seem to tell
    you, but really dont

11
Server Logs Beyond the Basics
  • Configuring your analysis software
  • Extracting specific types of entries from the log
  • Homemade tools
  • Examples
  • Click-through
  • Comparing two navigation schemes
  • Search Queries (both successful and unsuccessful)

12
Server Logs Limitations
  • Common problems with the data
  • Case-sensitivity
  • Others
  • Problems with the analysis software
  • Tips for coping with problems

13
Break for Discussion!
14
Other Data Sources
  • Usability Studies
  • Focus Groups
  • Surveys
  • Help Desk Calls
  • Webmaster E-mails
  • Others

15
Other Data Sources
  • Reasons to use them
  • Examples
  • Tips for developing them
  • Limitations of these sources

16
Break for Discussion!
17
Wrap-up and Future Plans
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