Web site performance
Download
1 / 34

Web Site Performance - PowerPoint PPT Presentation


  • 276 Views
  • Updated On :

Web Site Performance. An analytical approach for benchmarking and tuning. Objective. Determine whether your web site meets its goals Is the Web site usable? Are parts of the Web site invisible? Understand normal use patterns Mode of constant improvement Action / Goal oriented change.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Web Site Performance' - MartaAdara


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Web site performance l.jpg

Web Site Performance

An analytical approach for benchmarking and tuning


Objective l.jpg
Objective

  • Determine whether your web site meets its goals

  • Is the Web site usable?

  • Are parts of the Web site invisible?

  • Understand normal use patterns

  • Mode of constant improvement

  • Action / Goal oriented change


Enterprise approach to analytics l.jpg
Enterprise approach to analytics

  • Multiplicity of Resources to track

    • 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)


Web server logs l.jpg
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)


Example web log l.jpg
Example Web log

  • Raw data for analysis process

    2006-06-20 05:01:43 129.59.150.105 GET /index.pl - 80 - c-69-250-131-199.hsd1.md.comcast.net Mozilla/4.0+(compatible;+MSIE+6.0;+Windows+NT+5.1;+SV1;+.NET+CLR+1.1.4322)http://www.google.com/search?hl=en&lr=&safe=off&q=september+11+television+archive 200 0 0 11752


Exploiting referral data l.jpg
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)


Analysis methodology l.jpg
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 l.jpg
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 l.jpg
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.


Resource discovery l.jpg
Resource Discovery

  • How do users get to your site?

  • Track performance of the Web site relative to major search engines

  • SEO – Search engine optimization

  • Few users begin with library Web sites


Search engine optimization l.jpg
Search engine optimization

  • Systematic harvesting of pages from Web site

  • XML Sitemap API

  • Tune pages to maximize exposure in search engines

  • Monitor with Google Webmaster tools

  • Monitor with Google Analytics

  • Action-oriented incremental changes


Google sitemaps l.jpg
Google SiteMaps

  • 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.


Webmasters tools l.jpg
Webmasters Tools

  • Submit Sitemaps

  • Monitor harvesting of sitemaps

  • Robots.txt

  • Keyword performance



Google sitemap15 l.jpg
Google Sitemap

  • Sitemap Details


Google sitemap16 l.jpg
Google Sitemap

  • Top search queries


Sitemap protocol l.jpg
Sitemap Protocol

  • Sitemap.xml



Measuring web site use l.jpg
Measuring Web Site Use

  • Log-based tools

    • Analog (basic / free)

    • Web Trends

    • NetTracker

    • Urchin

    • External perspective

    • Google Analytics


Google analytics l.jpg
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 analytics21 l.jpg
Google Analytics

  • Visits

  • Pageviews

  • Trends over time

  • Content

  • Traffic sources


Goal oriented analytics l.jpg
Goal-oriented analytics

  • Define Goals

  • Measure site performance through completed goals

  • Funnels


Google analytics23 l.jpg
Google Analytics

  • Selection Menu


Google analytics24 l.jpg
Google Analytics

  • Dashboard



Google analytics26 l.jpg
Google Analytics

  • Two Factors


Google analytics27 l.jpg
Google Analytics

  • Visitors by Country



Google analytics29 l.jpg
Google Analytics

  • Referring Sites


Google analytics30 l.jpg
Google Analytics

  • Content by Title



Google analytics32 l.jpg
Google Analytics

  • Goal Conversion


Google analytics33 l.jpg
Google Analytics

  • Ecommerce



ad