Better%20Living%20Through%20Web%20Metrics - PowerPoint PPT Presentation

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Better%20Living%20Through%20Web%20Metrics

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Title: Better%20Living%20Through%20Web%20Metrics


1
Better Living Through Web Metrics
  • Kathy Farrell, Empire State College
  • Melissa Meehan, Buffalo State College
  • Ned Stankus, Hamilton 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 informationWebtrends example
  • Deceptive results What the logs seem to tell
    you, but really dont

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

12
Log entry for a search query
  • 129.44.6.222 www.esc.edu - 01/sep/2004082841
    -0400 "get /esconline/onlinesi.nsf/index/?searchv
    iewquerybookstoresearchorder1searchwvtruese
    archfuzzyfalse http/1.1" 200 38072 ""
    "mozilla/4.0 (compatible msie 6.0 windows nt
    5.0 .net clr 1.0.3705 .net clr 1.1.4322)" 640
    "siteserverid7b9439c604c5ac4216387fe752447485"
    "e/lotus/domino/data/esconline/onlinesi.nsf"

13
Top 10 No-hit search terms
July 04 July 04 August 04 August 04 September 04 September 04
10 business, management and economics 14 accredidation 18 snl
9 accredidation 12 dpp 12 http and //sln.suny.edu/commons
9 business, management economics 9 finacial and aid 12 onlinecourses
9 fasfa 9 www.coursespace.suny.edu 10 accredidation
8 finacial aid 8 calender 8 athletics
7 business OR and management 8 life credits 8 finacial and aid
6 dpp 7 alfred adler 7 http//sln.suny.edu/commons
6 myrecords 6 aust 6 clepsydra
6 register for coourse 6 sat and scores 6 psycology
5 bps 5 basket 6 snl and commons
14
Server Logs Limitations
  • Common problems with the data
  • Case-sensitivity
  • Others
  • Problems with the analysis software
  • Tips for coping with problems

15
Break for Discussion!
16
Other Data Sources
  • Surveys
  • Webmaster E-mail
  • Usability Studies
  • Focus Groups
  • Help Desk Calls

17
Other Data Sources
  • Reasons to use them
  • Examples
  • Tips for developing them
  • Limitations of these sources

18
Other Data Sources Geneseo
  • Surveys
  • Geneseo Web Usability Survey
  • Webmaster E-mail
  • Help Desk Calls

19
Other Data Sources Buffalo State
  • Buffalo States Metrics Toolbox
  • Usability Studies
  • Focus Groups

20
Break for Discussion!
21
Wrap-up and Future Plans
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