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Web AnalyticsCONCEPTS & THEORIES MKTG*6226 //CLASS LEADERSHIP PRESENTATION // MATT CASS
agenda  introduction to web analytics why it’s important basic concepts & terms web analytics vs. data mining focus: analyzing engagement output: presentation matters web analytics in practice
what is web analytics? web analytics is the assessment of a variety of data, including web traffic, web-based transactions, web server performance, usability studies, user submitted information and related sources to help create an understanding of the visitor experience online goal:identify and target responsive customers
why it’s important
basic concepts & terms on-site off-site page views conversion & abandonment rate loyalty frequency  recency self-report transaction history online behaviour outside of your site buzz  general  ,[object Object]
cookies
geolocation
sentiment analysis,[object Object]
web analytics vs. data mining data mining identifying patterns and correlations within databases e.g. social network analysis data gathering vs. data mining
data presentation know your audience! dashboard	 visual summary of information persona prototypical user characteristics key performance indicators ratios, percentages, averages reports	 any combination of the above
web analytics in practice define your key performance indicators tie them to your business objectives present your data in a meaningful way know your audience use web analytics as a learning tool targeting and optimizing make your “other media” more social
thank you  twitter: @mattPROv1 facebook:  Social Media Marketing Research – Week 6
basic concepts & terms hits an action on a website, e.g. user views a page or downloads a file page views actual visitor views or requests for information visits unit of activity on a website  unique visitors number of visitors in a given timeframe  unique identified visitors unique visitor that can be tied to specific personal information
conversion funnel
dashboard
key performance indicators

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Web Analytics Concepts & Theories

  • 1. Web AnalyticsCONCEPTS & THEORIES MKTG*6226 //CLASS LEADERSHIP PRESENTATION // MATT CASS
  • 2. agenda introduction to web analytics why it’s important basic concepts & terms web analytics vs. data mining focus: analyzing engagement output: presentation matters web analytics in practice
  • 3. what is web analytics? web analytics is the assessment of a variety of data, including web traffic, web-based transactions, web server performance, usability studies, user submitted information and related sources to help create an understanding of the visitor experience online goal:identify and target responsive customers
  • 5.
  • 6.
  • 7.
  • 10.
  • 11. web analytics vs. data mining data mining identifying patterns and correlations within databases e.g. social network analysis data gathering vs. data mining
  • 12. data presentation know your audience! dashboard visual summary of information persona prototypical user characteristics key performance indicators ratios, percentages, averages reports any combination of the above
  • 13. web analytics in practice define your key performance indicators tie them to your business objectives present your data in a meaningful way know your audience use web analytics as a learning tool targeting and optimizing make your “other media” more social
  • 14. thank you twitter: @mattPROv1 facebook: Social Media Marketing Research – Week 6
  • 15. basic concepts & terms hits an action on a website, e.g. user views a page or downloads a file page views actual visitor views or requests for information visits unit of activity on a website unique visitors number of visitors in a given timeframe unique identified visitors unique visitor that can be tied to specific personal information
  • 20. engagement framework source: Forrester Research

Notes de l'éditeur

  1. conversion & abandonment ratenumber of starters vs. number of completersloyaltynumber of visitsfrequency average amount of time between visitsrecencytime since last desired activity
  2. involvementthe presence of a person at the various brand touchpointsinteractionthe actions people take while present at those touchpointsintimacythe affection/aversion a person holds for a brandinfluence the likelihood a person is to advocate on behalf of a brandclick depthdurationrecencyloyalty brand feedbackinteraction
  3. assess the interaction between internal and external factors