The document discusses establishing a benchmarking network among Swedish universities to share analytics data. It proposes the network could help universities evaluate their own efforts, identify areas for improvement, share best practices, and raise the overall quality of their websites. The document also provides an overview of how universities currently use analytics to measure things like website usage, goal completion, and marketing campaign success. It suggests some metrics such as unique views, page views, and landing page bounce rates that could potentially be shared through the benchmarking network.
2. Agenda
• Survey results – analytics use in Swedish
Higher Education. 10 minutes
• Presentation. 15 minutes
• Discussion –
Best Practice?
Benchmarking network. 30 minutes
3. Benchmarking Network - Sharing data
• We create a network to share benchmarking
data – subgroup of SUNIWEB
• Place our work into context
– Evaluate our own efforts
– Help management
– Identify areas we can develop
– Share best practice
– Raise general quality of our websites
– Validate our own GA data
19. Analytics
”If we don’t measure it, we can’t manage it”
- Return on investment
- Our value as webmasters,editors,marketeers
- The importance of our websites
20. Analytics
Measurement, collection, analysis and
reporting of Internet data for the purposes of
understanding and optimising website usage.
- visitors journey on the website
- conversions
- benchmarking against KPIs
26. Goals
• Goal setting function – give it a value
• Goals
– Make an application/exit to studera.nu
– Fill out a form
– Make an enquiry
– Download a pdf
– Consume and share news
– Downloads of research papers
– Successful searches
42. Benchmarking Network
• Best Practice
– What should we measure?
– Which goals are relevant?
– What, and why, should we report?
– How can we improve content?
• Benchmarking - Could we share data?
– Unique views/visits
– Page views
– % from search
– Landing page bounce rates
– Validation of data, evaluation of our own efforts
– Confidentiality – personal data, adwords, hacks, strategy?