Practical web analytics for user experience: how analytics can help you understand your users
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam [u.a.]
Morgan Kaufman
2013
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XV, 234 S. Ill., graph. Darst. |
ISBN: | 9780124046191 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
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100 | 1 | |a Beasley, Michael |e Verfasser |4 aut | |
245 | 1 | 0 | |a Practical web analytics for user experience |b how analytics can help you understand your users |c Michael Beasley |
264 | 1 | |a Amsterdam [u.a.] |b Morgan Kaufman |c 2013 | |
300 | |a XV, 234 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
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Datensatz im Suchindex
_version_ | 1804150605230374912 |
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adam_text | Contents
ACKNOWLEDGMENTS
...........................................................................xiii
ABOUT THE AUTHOR
.............................................................................xv
CHAPTER
1
Introduction
.......................................................................1
What Is Web Analytics?
...............................................................2
User Experience and Web Analytics Questions
........................3
Web Analytics and User Experience: A Perfect Fit
...................3
About This Book
...........................................................................4
Parti: Introduction to Web Analytics
.................................4
Part
2:
Learning About Users through Web Analytics
......4
Part
3:
Advanced Topics
......................................................5
Google Analytics
...........................................................................6
Part
1
Introduction to Web Analytics
........................9
CHAPTER
2
Web Analytics Approach
................................................11
Introduction
.................................................................................11
Get to Know Your Website
.........................................................11
A Model of Analysis
...................................................................14
Pose the Question
...............................................................15
Gather Data
.........................................................................16
Transform Data
...................................................................16
Analyze
................................................................................16
Answer the Question
..........................................................17
Balancing Time and the Need for Certainty
.....................17
Showing Your Work
....................................................................18
Context Matters
..........................................................................18
Data Over Time
...................................................................19
Proportion is Key
.................................................................20
Sometimes the Data Contradict You
.........................................22
Sometimes the Answer is No
.........................................22
Contents
Make
Your Findings
Repeatable........................................22
KeyTakeaways...........................................................................23
CHAPTER
3
How Web Analytics Works
.............................................25
Introduction
.................................................................................25
Log File Analysis
........................................................................25
Page Tagging
..............................................................................26
Cookies
.................................................................................27
Accuracy
..............................................................................28
Accounts and Profiles
.........................................................29
Click Analytics
.....................................................................30
Metrics and Dimensions
............................................................31
Visits
....................................................................................32
Unique Visitors (Metric)
.....................................................32
Pageviews
(Metric)
.............................................................34
Pages/Visit (Metric)
............................................................35
Average Visit Duration
.......................................................35
Bounce Rate (Metric)
..........................................................36
%
New Visits (Metric)
.........................................................36
Using These Metrics
...........................................................37
Interacting With Data In Google Analytics
..............................37
Plot Rows
.............................................................................39
Secondary Dimension
.........................................................39
Sort Type
..............................................................................
^
Search
...................................................................................41
Beyond Tables
.....................................................................43
KeyTakeaways
...........................................................................47
CHAPTER
4
Goals
.................................................................................49
Introduction
.................................................................................49
What are Goals and Conversions?
............................................49
Unfortunate Colliding Terms
.............................................
51
AU
Websites Should Have Goals
........................................
51
Why Do Goals Matter for User Experience?
.....................
51
Conversion Rate
..........................................................................52
Goal Reports in Google Analytics
.............................................
53
Goal URLs
............................................................................58
Reverse Goal Path
...............................................................
58
Funnel Visualization Report
...............................................
60
Goal Flow
.............................................................................
61
E-commerce
.........................................................................62
Multichannel Funnels
.........................................................^2
Contents
Part
2
CHAPTER
5
CHAPTER
6
When Do You Use These Reports?
............................................63
Finding the Right Things to Measure as Key
Performance Indicators
..............................................................63
What Should You Measure?
...............................................64
Do Users Want To Do These Things?
................................69
What Can You Measure on a Website that Can
Constitute a Goal?
......................................................................69
Reaching a Specific Page
....................................................70
On-Page Action
...................................................................71
Engagement
........................................................................72
Going Beyond the Website
........................................................72
Tying It Together
........................................................................73
KeyTakeaways
...........................................................................74
Learning about Users through Web
Analytics
..........................................................75
Learning about Users
......................................................77
Introduction
.................................................................................77
Visitor Analysis
...........................................................................78
Demographics—Location
...................................................78
Behavior—New vs. Returning
...........................................79
Behavior—Frequency
&
Recency
......................................79
Behavior—Engagement
......................................................80
Technology—Browser
&
OS
...............................................81
Mobile
—
Overview
..............................................................81
Custom (As in Custom Variables)
......................................81
KeyTakeaways
...........................................................................82
Traffic Analysis: Learning How Users Got to
Your Website
....................................................................83
Introduction
.................................................................................83
Source and Medium (Dimensions)
.............................................83
Organic Search
............................................................................85
Why Analyze Keywords?
....................................................87
Search Query Analysis
...............................................................89
Exporting the Data
..............................................................90
Create Candidate Categories
.............................................92
Processing the Data
............................................................93
Analyzing the Data Again
..................................................96
Basic Keyword Analysis
.....................................................98
Export the Data
...................................................................98
Contents
Categorize
the Keywords
...................................................98
Compare Metrics
.................................................................99
Referral Traffic
.............................................................................99
Direct Traffic
..............................................................................102
Paid Search Keywords
..............................................................103
Key Takeaways
.........................................................................104
CHAPTER
7
Analyzing How People Use Your Content
...................105
Introduction
...............................................................................105
Website Content Reports
.........................................................105
High
Pageviews/Low Pageviews....................................107
Pageviews
are Much Higher than Unique
Pageviews ..109
Low Time on Page
............................................................110
High Time on Page
...........................................................112
High Entrances to Unique
Pageviews
Ratio
...................112
High Bounce Rate
.............................................................113
High
%
Exit
........................................................................114
Page Value
.........................................................................114
Comparing Page Metrics to Similar Pages
......................115
More Reports
.....................................................................116
Key Takeaways
.........................................................................120
CHAPTERS Click-Path Analysis
.......................................................121
Introduction
...............................................................................121
Focus on Relationships between Pages
..................................122
Navigation Summary
................................................................123
Visitors Flow Report
.............................................................126
Analyzing How Users Move from One Page
Type to Another
........................................................................128
An Example: AwesomePetToys.com
..............................129
Key Takeaways
.........................................................................134
CHAPTER
9
Segmentation
.................................................................135
Introduction
...............................................................................135
Why Segment Data?
.................................................................135
How To Segment Data
.............................................................140
Google Analytics Advanced Segments
..........................142
What are the Ways You Can Segment Data?
.........................145
AND, OR, and Sequence of Filters
...................................145
Metrics
...............................................................................145
Dimensions
........................................................................146
Useful Ways to Segment for UX Questions
............................147
Segmenting According to a Page
....................................147
Contents
Segmenting According to
User
Traits
.............................150
Segmenting According to Information Need
..................150
Whether or Not Users Completed a Goal
........................152
What Pages Users Landed On
.........................................152
What Pages Users Viewed/Didn t View
..........................153
The Tip of the Iceberg
..............................................................154
KeyTakeaways
.........................................................................154
CHAPTER
10
Pairing Analytics Data with UX Methods
...................157
Introduction
...............................................................................157
Personas
....................................................................................157
Segmenting Based on
Personas
.......................................157
Building Better
Personas
..................................................161
Usability Testing
.......................................................................162
Test Planning
.....................................................................162
Test Analysis
.....................................................................164
Usability Test Reports
......................................................165
Usability Inspection
..................................................................166
Identifying Potential Problems
........................................167
Evidence for Problems
......................................................167
Design and Design Objectives
................................................167
How Much Will You Improve a Number?
........................169
KeyTakeaways
.........................................................................169
CHAPTER
11
Measuring the Effects of Changes
...............................171
Introduction
...............................................................................171
Reframe as a Rate
.....................................................................172
Choose What to Measure
.........................................................172
Choose When to Measure
................................................173
Types of Changes
.....................................................................174
Conversion Rate
................................................................174
Redirect Traffic
..................................................................176
Time on Page and Other Continuous Metrics
................179
Changing Many Things at Once
.............................................180
Reporting
...................................................................................182
New Designs Don t Always Work
....................................183
KeyTakeaways
.........................................................................183
Part
3
Advanced Topics
..........................................185
CHAPTER
12
Measuring Behavior within Pages
...............................187
Introduction
...............................................................................187
Google Analytics In-Page Analytics
........................................187
Contents
Click Analytics
Tools................................................................189
Making Clicks Measureable in Page Tagging
Analytics Tools
..........................................................................190
Defining Events
.................................................................191
Putting It Together
............................................................193
Analyzing Event Data
..............................................................194
Pages and Events—What Happened Where?
................195
Making Rates
.....................................................................198
Segmentation
....................................................................198
Virtual
Pageviews.....................................................................199
KeyTakeaways
.........................................................................199
CHAPTER
13
A/B Testing
....................................................................201
Introduction
...............................................................................201
Designing An Experiment
.......................................................201
Select a Page That You Wish to Improve
........................201
Determine a Metric for Judging Improvement
...............202
Design One or More Alternatives
....................................202
Tracking Code
...................................................................203
Tools
...................................................................................203
Estimating the Length of a Test
......................................205
Monitoring and Winning
......................................................205
Ending a Test Early
...........................................................206
KeyTakeaways
.........................................................................207
CHAPTER
14
Analytics Profiles
...........................................................209
Introduction
...............................................................................209
Profiles
.......................................................................................209
What are Profile Filters?
...........................................................210
Making URLs Easier to Read
............................................211
Easier Click-path Analysis by Combining Pages
...........212
A Profile for UX Data
.........................................................213
KeyTakeaways
.........................................................................213
CHAPTER
15
Regular Reporting and Talking to Stakeholders
.........215
Introduction
...............................................................................215
Reporting Culture
.....................................................................215
Why You Report Analytics Data
......................................216
Why You Monitor Analytics Data
....................................217
Choosing Metrics to Report
.............................................218
Reporting Frequency
........................................................220
Keep It Concise
.................................................................220
Contents
Making the Case for Usability Activities
................................221
Making the Case for Design Changes
.............................221
Making the Case for User Research
................................224
KeyTakeaways
.........................................................................224
CHAPTER
16
Web Analytics in the Near Future
...............................227
Introduction
...............................................................................227
Mobile Application Analytics
..................................................227
Cross-Device Measurement
.....................................................228
Better Measurement of On-Page Behavior
.............................228
Connecting to Other Data Sources
..........................................228
The Continuing Dominance of Google
....................................229
Things Will Keep Changing
.....................................................229
INDEX
......................................................................................................231
|
any_adam_object | 1 |
author | Beasley, Michael |
author_facet | Beasley, Michael |
author_role | aut |
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dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
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spelling | Beasley, Michael Verfasser aut Practical web analytics for user experience how analytics can help you understand your users Michael Beasley Amsterdam [u.a.] Morgan Kaufman 2013 XV, 234 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Web usage mining Internet users / Attitudes Web site development Entwicklung (DE-588)4113450-3 gnd rswk-swf Website (DE-588)4596172-4 gnd rswk-swf Benutzerverhalten (DE-588)4122898-4 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf World Wide Web (DE-588)4363898-3 s Benutzerverhalten (DE-588)4122898-4 s Data Mining (DE-588)4428654-5 s Website (DE-588)4596172-4 s Entwicklung (DE-588)4113450-3 s DE-604 Erscheint auch als Online-Ausgabe 978-0-12-404694-8 Digitalisierung BSB Muenchen 21 - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026161615&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Beasley, Michael Practical web analytics for user experience how analytics can help you understand your users Web usage mining Internet users / Attitudes Web site development Entwicklung (DE-588)4113450-3 gnd Website (DE-588)4596172-4 gnd Benutzerverhalten (DE-588)4122898-4 gnd Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
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title | Practical web analytics for user experience how analytics can help you understand your users |
title_auth | Practical web analytics for user experience how analytics can help you understand your users |
title_exact_search | Practical web analytics for user experience how analytics can help you understand your users |
title_full | Practical web analytics for user experience how analytics can help you understand your users Michael Beasley |
title_fullStr | Practical web analytics for user experience how analytics can help you understand your users Michael Beasley |
title_full_unstemmed | Practical web analytics for user experience how analytics can help you understand your users Michael Beasley |
title_short | Practical web analytics for user experience |
title_sort | practical web analytics for user experience how analytics can help you understand your users |
title_sub | how analytics can help you understand your users |
topic | Web usage mining Internet users / Attitudes Web site development Entwicklung (DE-588)4113450-3 gnd Website (DE-588)4596172-4 gnd Benutzerverhalten (DE-588)4122898-4 gnd Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
topic_facet | Web usage mining Internet users / Attitudes Web site development Entwicklung Website Benutzerverhalten Data Mining World Wide Web |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026161615&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT beasleymichael practicalwebanalyticsforuserexperiencehowanalyticscanhelpyouunderstandyourusers |