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Webbanalys KTH EES

This analysis explores the visitor engagement patterns on KTH's departmental websites, derived from a dataset of 30,000 pages. It identifies six key visitor personas: Engaged Users, Default Visitors, Departmental Users, Students, Applicants, and Job Seekers. Key insights reveal that 55% of traffic is directed towards departmental content, particularly in education and research. Recommendations include reducing page counts, enhancing analytics implementation, and improving content findability to better serve diverse visitor needs and optimize user experience.

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Webbanalys KTH EES

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Presentation Transcript

  1. Webbanalys KTH EES

  2. Overview 30 000 pages

  3. Who visits? • Engaged – many pages, long time on site • Default – website as start page • Departmentalist – works for and visits dept site • Student – needs to visit for specific tasks • Applicant – potential students • Jobseeker – looking to work at KTH • Skydiver – stumbles on a specific page

  4. What do they visit? • 55% departments (15% people pages) • 10% people search • 20% Education (10% course pages) • 2% Research • 1% Calendar • 1% News • 85 pages = 40% of pageviews

  5. Location

  6. Traffic sources

  7. Department pageviews

  8. Visitor behavior - departments

  9. Education • Template for thesis popular • EL2520 kurshemsida popular • Long tail • about 1000 pages (Spring 2013) had 1 pageview • 1400 had 1 or 2 • About 400 pages had more than 1 pageview a week • Old course websites still live

  10. Calendar • Master thesis presentations most viewed • KERS seminar from 2010 receives traffic due to Wikipedia entry.

  11. Contact • “Labs within EES” page most viewed • “Contact with management and key functions” next most viewed • Nothing else gets 1 pageview a day

  12. Research • Publications are the main visited content (45% of pageviews) • Strategic research areas page account for 20% of pageviews

  13. About EE • The “nätbaserad utbildning” content caused a spike • About 25% of pageviews during period analysed

  14. Recommendations • Reduce number of pages • Research visitor types & create personas • Fix analytics implementation! • Improve findability

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