Web Analytics Concepts & Theories

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WEB ANALYTICS CONCEPTS & THEORIES MKTG*6226 // CLASS LEADERSHIP PRESENTATION // MATT CASS

description

Presentation for Robert Kozinets' Social Media for Marketing & Management class at the Schulich School of Business

Transcript of Web Analytics Concepts & Theories

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WEB ANALYTICSCONCEPTS & THEORIESMKTG*6226 // CLASS LEADERSHIP PRESENTATION // MATT CASS

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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

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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

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why it’s important

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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

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engagement

source: Forrester Research

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web analytics vs. data miningdata mining» identifying

patterns and correlations within databases

» e.g. social network analysis

» data gathering vs. data mining

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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

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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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THANK YOU TWITTER: @mattPROv1

FACEBOOK: Social Media Marketing Research – Week 6

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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

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conversion funnel

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dashboard

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key performance indicators

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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

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engagement framework

source: Forrester Research