Web Analytics Concepts & Theories
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Transcript of Web Analytics Concepts & Theories
WEB ANALYTICSCONCEPTS & THEORIESMKTG*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» page views» conversion &
abandonment rate» loyalty» frequency » recency» self-report» transaction history
off-site» online behaviour
outside of your site» buzz
general » page tagging» cookies» geolocation» sentiment analysis
engagement
source: Forrester Research
web analytics vs. data miningdata 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
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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
key performance indicators
type of site recommended kpi’s
content avg. page views per visit, percentage of high frequency visitors
marketing lead generation conversion rate, avg. cost per lead, revenue per visit
customer support avg response time, distribution of new vs. return customers
online retail buyer conversion rates, avg revenue per visit, percentage of happy customers
engagement framework
source: Forrester Research