library web statistics mncn, oct 9, 2007 library web statistics – true or false morten...

Library web statistics MnCn, Oct 9, 2007

Library Web statistics– true or false

Morten ChristoffersenNovo Nordisk Library

Library web statistics Slide no 2MnCn, Oct 9, 2007

Agenda

• Why use web statistics?• Our set-up and interpretation of data• Findings; what we can extract from web statistics


Should you care?

• Is there anybody out there?• or are you wasting money?

• What are they doing?• using the expected services,

following the expected paths?

• When is it used?• 24/7 service needed?

• What is not used?• pages that should be

deleted/promoted?


Knowing is first step in improvement

• Statistical data are useful when preparing and maintaining a web site.

• Goal: Happy users!

Thanks to Despair.com


Users – usage – usability

• Complementary• Hints, NOT facts

Daily contactmail, phone, etc.

Usability testsobservation

Web statisticsanalyse


Purpose

• Monitor page usage• Who is using us• What is used• When it is used

• Monitor navigational trends• From where do users enter the site• How do users navigate our site

Measure impact of new pages/initiatives

Monitor search engines (mis-)use of website

Track popular pages


Our set-up

• Page examples• Home made “statistics package”

• SQL tables, asp-code

• Web interface• usage, users, click patterns• over time

• Focus is mostly on set-up, not actual results


How do we relate numbers to users, usage, and usability?

• Users• named users, not IP• exclude search robots and system users

• Usage• “real” clicks, not sessions, files or Mb• reported by user/department and/or day/month• trends and changes are important, not actual numbers!

• Usability• promote most used services• remove unused click patterns• remove unused services


Novo Nordisk Library

• Serving the Novo group of companies

• Novo Nordisk, Novozymes, NNIT, NNE Pharmaplan, etc.

• All users are named and linked to internal phonebook• 29.000 potential users, 79 potential contries

• The Library Web is the most used Intranet site


Library front page


Page example – Books


Page example – Consult us


Usage table

Where Who When Sum


Navigation table

From where To current page Who SumWhen


Saving user clicks

• Search engines• they tend to be VERY active thus corrupting user trends

• Search pages create more clicks than browse pages• be careful comparing number of clicks on different type

of pages/services

• Back button-navigation is not counted• 42% of all navigation

• Be careful when benchmarking web pages and websites• and even more if they use different statistical software• “most used”=?, “user”=?


Saving user data

• Be sure that you are allowed to store and utilise personal data!

• Be careful not to present personal data

• Limit access to raw data to a few system users, let Library staff see anonymous data only

• Do not use data to tell users how to behave, users have the right to click as they wish


Expected findings

• Entry• users enters via the front page

• Most used• search the Library catalogue

• Most active users• scientists

• Usage• most active users visit once or twice a week

• Navigational paths• Intranet portal Library Web Catalogue etc.


Interface – analyse page usage


Interface – usage overview


Actual findings – who is using us?

• 14921 different users (52%) since January 1st

• 10% most active users counts for 72% of all views

• 58 different countries (79 possible)

Views by search engines

0%10%20%30%40%50%60%70%80%90%

100%

Jan Feb Mar Apr May Jun Jul Aug Sept

• Search engine very active• 90%, now 30% of all views• Internal SiteSearch, Google,

SPS, amo.• (excluded from data in this

presentation)


Actual findings – How, where, when?

• Entry• not only the front page

• Most used• search the Internet

• Most active users• scientists, but also production... everybody

• Usage• most active users visit every day, even weekends

• Navigational paths• bookmarks: Directly to services


Page example – Search the Internet


Wisdom of the crowd

• Our users• are “everyone”, using different services• use the specific service that helps them doing their tasks• are very precise when navigating • don’t browse the web site


Conclusion

• Web statistics• know how to interpret your data• part of the truth, if you focus on trends and changes• false, if you focus on separate numbers

• Remember to use it actively• and change you web site accordingly


Questions?

• Morten ChristoffersenSystem Developer, PhD, Novo Nordisk Library

• [email protected]

library web statistics mncn, oct 9, 2007 library web statistics – true or false morten...

Documents

library web statisticsslide

library web statistics

web pages

web site

library web statistics

use web statistics

page slide

whowhensum slide