Web Site Performance - Library Technology Guides
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Transcript Web Site Performance - Library Technology Guides
Strategies for improving
Web site performance
Google Webmaster Tools +
Google Analytics
Marshall Breeding
Director for Innovative Technologies and Research
Vanderbilt University
http://www.librarytechnology.org/
Abstract
With the investments that libraries make in developing
websites, it is critical to constantly measure use levels,
discern patterns and trends, and spot hotspots and areas
of strengths, as well as areas that aren’t working like
you anticipated. Google Analytics, a free service offering
a very sophisticated approach to website analytics,
enables libraries to use methodologies well tuned in the
ecommerce arena such as action-oriented web
development and search engine optimization. Breeding
demonstrates how he uses Google Analytics to assist in
the management of sites such as Library Technology
Guides, the Vanderbilt Television News Archive, and
components of the Vanderbilt University Library’s web
presence.
Objective
Determine whether your web site meets
its goals
Are there usability issues with the site?
Are parts of the Web site invisible?
Understand normal use patterns
Mode of constant improvement
Action / Goal oriented change
Enterprise approach to analytics
Multiplicity of Resources to track
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Web Servers
OPACS
E-Resources
Databases
Repositories
Important to track the flow of use among all the library’s
Web-based resources
Beyond the library: study flow to and from higher-level
Web sites and portals (University -> Courseware ->
Library)
Collection and Measurement
Multiple techniques
Server logs
Third party collection
Web server logs
Web servers are routinely configured to
record detailed information about each
request. Common elements include:
– File requested
– Date / time stamp
– Status code
– Request directive (get, post, head)
– Referrer (where the user came from)
– User agent (browser and platform data)
Exploiting referral data
The query string component of the referrer can
be parsed to reveal search terms and other
interesting information
http://www.google.com/search?hl=en&lr=&safe
=off&q=september+11+television+archive
– User typed “september 11 television archive” in
Google to find our site
Important to study how users get to your site
[example: TV News Public Web queries vs
OpenWeb)
Google Analytics Data
Does not use Web server logs
Based on data sent dynamically based on
Google Web site
Complete URL
– Including referral data
IP / Domain of requestor
Aggregated patterns of use
Personally identifiable data?
Analysis methodology
Go beyond simply counting pages
Identify Sessions
Categorize users
Determine use patterns
Measure interest
– Time spent on Web site
– Bounce rate
– Page overlay analysis
Move from measurement to
impact
Establish site goals
Benchmark current use
Implement goal oriented improvements
Measure impact
Repeat as needed
(Example: enhancement of TV News
OpenWeb)
Appropriate data filtering
Requests from indexing bots (crawlers) can
skew statistics
Count user requests and bot requests separately
Performance monitors
Link checkers
Monitoring crawler activity is an important
component of SEO and Web site discoverability
strategies.
Note: Different analytics products may involve
different ways of counting bot traffic.
Resource Discovery
Few users begin with library Web sites
How do users get to your site?
Track performance of the Web site relative
to major search engines
SEO – Search engine optimization
Web Discovery
Web
TV News Web site
Sucessful search Terms:
“tv news” “vanderbilt tv archive”
“vanderbilt television news archive”
“news archives”
Search and Retrieval
+ e-commerce request
system
TV-NewsSearch Database
OpenWeb Strategy
Web
TV News Web site
OpenWeb
Mirror Site
Generate 805,000+
Static Pages
Search and Retrieval
+ e-commerce request
system
Successful search Terms:
All words and phrases in
TV-NewsSearch Database
TV-NewsSearch Database
Implementation Details
Create OpenWeb mirror site
– Static Web page for each database record
– Design each page to maximize content terms
exposed to Google
– Funnel users to existing site
– Not meant to be an alternative interface
Search engine optimization
Strategy to make your site more visible in
Internet search engines: Index > page rank
Tune site structure and page content to
maximize exposure in search engines
Systematic harvesting of pages from Web site
Use of XML Sitemap API can help
Monitor with Google Webmaster tools
Monitor with Google Analytics
Action-oriented incremental changes
Sitemap Protocol
XML specification for systematically submitting
URLs that represent a Web site
Makes indexing more efficient but does not
affect PageRank
SiteMap interface provides utilities for
monitoring how the site has been indexed with
some analytical information on terms used to
find your Web site.
Originally proposed by Google, now used by
Yahoo, Microsoft and others
See: sitemap.org
Webmasters Tools
Submit Sitemaps
Monitor harvesting of sitemaps
Robots.txt
Keyword performance
Google Sitemap
Details
Google Sitemap
Sitemap Details
Google Sitemap
Top search queries
Sitemap Protocol
Sitemap.xml
Sitemap Protocol
Measuring Web Site Use
Log-based tools
– Analog (basic / free)
– Web Trends
– NetTracker
– Urchin
– External perspective
– Google Analytics
Google Analytics
Free tool available for measuring Web site
use
Based on data sent from Web server to
Google
No personally identifiable data transmitted
Javascript snippet added to each page
Google Analytics
Visits
Pageviews
Trends over time
Content
Traffic sources
Goal-oriented analytics
Define Goals
Measure site performance through
completed goals
Funnels
Google Analytics
Selection Menu
Google Analytics
Dashboard
Google Analytics
Visitors
Google Analytics
Two Factors
Google Analytics
Visitors by Country
Google Analytics
Keywords
Google Analytics
Referring Sites
Google Analytics
Content by Title
Google Analytics
Goals
Google Analytics
Goal Conversion
Google Analytics
Ecommerce
Questions and Discussion