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Chapter 10:
Managing Conflict
Introduction
Workplace conflicts are often not productive
Take time away from one’s job
Take time away from providing customer service
Strained emotion often lingers
Conflict can lead to innovation and creativity
Conflict must be managed – not ignored
Conflict Defined
An expressed struggle between at least two interdependent
parties, who perceive incompatible goals, scarce rewards or
resources or expectations that are not being met, and
interference from the other party or parties in achieving their
goals
Conflict vs. Difference of Opinion
Interdependent parties
Incompatible goals
Interference
If we perceive something, we will often act as if it is true
Managing Conflict
Dimensions of Conflict
History: experiences with the party or other conflicts
Source: can be the other person or something less personal
Perceptions: assumptions and prejudices often make us think
something is true even if it is not
Emotions: controlling emotions in a positive manner can lead to
positive conflict resolution
Behavior: good, controlled behavior can move us toward
positive results
Effective vs. Dysfunctional Responses
Differentiation: “Parties raise the conflict issues and spend
sufficient time and energy clarifying positions, pursuing the
reasons behind those positions, and acknowledging their
differences stage determines differences” (Stutman, 2009, p. 14)
Opportunities to develop understanding during this stage
Case Study: Zest Manufacturing Wars
A small group of managers met for their weekly meeting, and
conflict arose
Two managers were at odds because both failed to ask for
rationale and allowed their emotions to flare
A third manager facilitated a conversation to help both parties
see how to resolve the conflict
Perception was key; both managers perceived that the other was
questioning their ability to do their job
Have their been times when emotion influenced your perception
of something? Did it help or hurt?
Conflict Within the Organization
Personality conflicts: arise out of differences in the collection
of qualities that make people who they are but that also don’t
meet our expectations
Role confusion: lack of clarity over expectations of our position
or fulfilling our job duties
Intragroup conflict: conflict within a group
Intergroup conflict: conflict between two or more groups
Intraorganizational conflict: conflict within an organization
Critical Thinking Questions - Conflict
Why does conflict often escalate so quickly?
In today’s modern society, what other potential sources of
conflict within organization can you think of?
Styles of Dealing with Conflict
Avoiding
Those who prefer avoidance recognize a conflict exists, but tend
to want to withdraw from, ignore, or suppress it
Low concern for satisfying concerns of themselves or others
Can be useful when issues are trivial, there is no chance of
satisfying your concerns, or disruption outweighs benefits of
resolution
Competing
Individuals who use competition place their own concerns as
more important than the concerns of others
“I win, you lose” approach
Can work when quick action is necessary
Can spur creativity and innovation
Can lead to one-sidedness and harmful for building trust
Accommodation
The opposite of competing
Putting one’s needs and concerns aside in order to focus on
concerns and needs of others
Useful when one is wrong about an issue, or an issue is far more
important to others, maintaining cooperation as a goal
Compromise
Often considered the best strategy because it is in the middle of
the grid
Both parties get something without excessive disruption
Balance of loss and gain can be useful and seen as fair
Often leaves both parties feeling dissatisfied
Collaboration
Ideal because of a high concern for needs of all parties involved
Win-win result is the goal
Collaborative people help to solve problems by being creative
and looking for joint gains
Trust is an important component of collaborative processes
Strategic Objectives
We need to consider the importance of the relationship as well
as our goals and desires as we decide which tactic to use
Managing conflict requires the ability to recognize the tactics of
others and adjust our own tactics to complement and/or counter
the other party in an effort to achieve the final goal
Organizational Conflict and Power
Power can determine:
How conflict gets resolved
What goals a group will pursue
How a group’s resources will be distributed
Many conflicts have asymmetrical power
Forms of Power
Formal power is based on an individual’s position in an
organization:
Coercive power
Reward power
Legitimate power
Personal power is derived from one’s unique characteristics:
Expert power
Referent power
Critical Thinking Questions - Power
Consider conflicts in which you have been involved where
power has been used by either yourself or the other party
Was power used in a productive way?
How did the parties to the conflict feel after power was used?
Third Party Intervention
• In the following three special types of organizational
conflicts, it is necessary to bring in a third party.
Whistle-blowing, sexual harassment, discrimination
• To deal with conflicts via third party intervention:
Negotiation
Mediator
Arbitration (conventional interest arbitration, final offer
arbitration)
Judicial approach
Case Study- Email Fiasco
Phil is unhappy with the hiring of new manager Marshall, and
the promotion of Trish
Marshall suggested changing the inventory process, and Trish
supported it while Phil did not
Marshall sent an email to the entire company that derided both
Trish and Phil
What types of conflict exist in this case?
What other issues contributed to this conflict situation?
Conflict Outside: Dealing with an Angry Public
When conflict has moved outside the organization and we are
dealing with a potentially angry public, remember there are
some key variables to consider in our response:
What are the facts of the situation?
What emotions are driving the publics’ perception?
What are the contextual variables that create and sustain the
crisis?
What are/should be the organizational actions taken in response
to the critical event(s)?
Organizations must recognize the various emotions involved
and seek to “step into the shoes” of others and understand their
varying perspectives
Context Matters
For-Profit Organizations
Dealing with conflict takes time, which can be both positive and
negative
Family Entrepreneurship
Conflict can be dealt with more quickly but can also infect an
entire organization faster
Nonprofit Organizations
Presence of volunteers complicates conflict processes
Government Sector
Unique rules and guidelines may produce additional
interorganizational conflicts
1 page
Go to - https://www.alexa.com/siteinfo
Lookup these three websites on the above sit search bar. -
https://www.doordash.com
https://www.ubereats.com
https://www.grubhub.com
-Click on the Traffic Metrics section for each page (you will
need to do this three times and record/write down or screen shot
the metrics)
-Review the Alexa Rank and Site Metrics for each page
-Answer the following two questions in two short paragraphs
Based on the metrics;
1- which site do you think is reaching the most customers
2- Which site needs the most improvement and why
A V I N A S H K A U S H I K
KAUSHIK
SERIOUS SKILLS.
Web Analytics 2.0
Shift to Data-Driven Decision Making and
Leverage the Complete Power of All Web Data
W
eb A
nalytics 2.0
THE ART OF ONLINE ACCOUNTABIL ITY
& SCIENCE OF CUSTOMER CENTRICITY[ ]
TH
E ART O
F O
N
LIN
E ACCO
U
N
TABILITY
&
SCIEN
CE O
F CU
STO
M
ER CEN
TRICITY
[
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Avinash Kaushik is the author of the leading research &
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Evangelist for Google and
the Chief Education Offi cer at Market Motive, Inc. He is a
bestselling author and a frequent speaker at key industry
conferences around
the globe and at leading American universities. He was the
recipient of the 2009 Statistical Advocate of the Year award
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—Dan Ariely, Professor of Behavioral
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29393ffirs.indd 2 9/17/09 1:57:27 AM
Praise for Web Analytics 2.0
When it comes to the digital marketing channels and
understanding what and why people do
things online, there is no one smarter than Avinash Kaushik.
His first book, Web Analytics: An
Hour a Day, should be on every marketer’s desk. Now, with
Web Analytics 2.0, there’s a wor-
thy accompaniment. When people ask, ‘Who is the smartest guy
in the room when it comes to
online marketing?’ only one name comes to mind: Avinash. I’d
tell you to buy this book, but I
would prefer if you didn’t. I’d love to keep these concepts and
theories all to myself and my cli-
ents. Yes, it’s that powerful, awesome, and actionable.
—Mitch Joel, president of Twist Image and author of Six Pixels
of Separation
Analytics is vitally important, and no one (no one) explains it
more elegantly, more simply, or
more power fully than Avinash Kaushik. Consider buying up all
the copies of this book before
your competition gets a copy.
—Seth Godin, author, Tribes
Lots of companies have spent lots of time and money collecting
data—and sadly do little with
it. In Web Analytics 2.0, Avinash Kaushik helps us grasp the
importance of this underused
resource and shows us how to make the most of online data and
experimentation.
— Dan Ariely, professor of Behavioral Economics, Duke
University and author of
Predictably Irrational
Kaushik takes the witchcraft out of analytics. If venture
capitalists read this book, they would
fire half of the CEOs that they’ve funded.
—Guy Kawasaki, co-founder of Alltop & Garage Technology
Ventures
29393ffirs.indd 1 9/17/09 1:57:27 AM
29393ffirs.indd 2 9/17/09 1:57:27 AM
Web Analytics 2.0
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Web Analytics 2.0
The Art of Online Accountability &
Science of Customer Centricity
A v i n a s h K a u s h i k
29393ffirs.indd 5 9/17/09 1:57:27 AM
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Thank you for choosing Web Analytics 2.0: The Art of Online
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Acknowledgments
Were it not for the love, patience, and support of my family, it
would be impossible
to write this book and hold down a few full-time jobs, advise
three companies, write
a blog, and travel the world evangelizing the awesomeness of
data. I’m lucky. My
wife Jennie is my biggest cheerleader and counsel, and for that I
shall remain in debt
to her for several lifetimes. My daughter Damini’s courage and
kindness is a constant
source of inspiration. My son Chirag’s intellect and energy
reminds me to always be
curious and strive for more.
I would like to express my deep appreciation to the readers of
my blog,
Occam’s Razor. In approximately three and a half years I have
written 411,725
words in my 204 blog posts, and the readers of my blog have
written 615,192 words
in comments! Their engagement means the world to me and
motivates me to make
each blog post better than the last. It is impossible to thank each
person, so on their
behalf let me thank three: Ned Kumar, Rick Curtis, and Joe
Teixeira.
As the song goes, I get by with a little help from my friends…
in the last
few years I have benefited from the help of two dear friends in
particular. Bryan
Eisenberg, the author of Always Be Testing, has consistently
shared life lessons about
this business and helped a ton with my own journey. Mitch Joel,
the author of Six
Pixels of Separation, has helped me become a better public
speaker and, as if that
were not enough, connected me with anyone worth connecting
to! Thanks, guys.
A huge motivation behind this book was the incredible work
done by The
Smile Train, Doctors Without Borders, and Ekal Vidyalaya.
They make the world
a better place, and I feel blessed that the money raised by my
books helps me be a
small part of their mission.
Last, but not least, my fantastic team at Wiley. This book was
written and
published at a pace that would drive mere mortals crazy, but not
them. They worked
harder than I did, they pushed deadlines (and me!), and they
made the impossible hap-
pen. Stephanie Barton, Kim Wimpsett, Liz Britten, and Willem
Knibbe, you rock!
To the wind beneath my wings, my inimitable wife Jennie.
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About the Author
Avinash Kaushik is author of the best-selling book Web
Analytics: An Hour a Day (http://www.snipurl.com/wahour).
He is also the analytics evangelist for Google and the
cofounder of Market Motive, Inc.
As a thought leader, Avinash puts a commonsense
framework around the often frenetic world of web analyt-
ics and combines that framework with the philosophy that
investing in talented analysts is the key to long-term success.
He is also a staunch advocate of listening to the consumer
and is committed to helping organizations unlock the value
of web data.
Avinash works with some of the largest companies
in the world to help them evolve their online marketing and
analytics strategies to become data-driven and customer-
centric organizations. He recently received the 2009 Statistical
Advocate of the Year award from
the American Statistical Association.
He is also a frequent speaker at industry conferences in the
United States and Europe, such
as Ad-Tech, Monaco Media Forum, iCitizen, and JMP
Innovators’ Summit, as well as at major
universities, such as Stanford University, University of
Virginia, and University of Utah.
You’ll find Avinash’s web analytics blog, Occam’s Razor, at
www.kaushik.net/avinash.
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Contents
Introduction xxi
Chapter 1 The Bold New World of Web Analytics 2.0 1
State of the Analytics Union . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 2
State of the Industry . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . 3
Rethinking Web Analytics: Meet Web Analytics 2 .0 . . . . .
. . . . . . . . . 4
The What: Clickstream 7
The How Much: Multiple Outcomes Analysis 7
The Why: Experimentation and Testing 8
The Why: Voice of Customer 9
The What Else: Competitive Intelligence 9
Change: Yes We Can! . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . 10
The Strategic Imperative 10
The Tactical Shift 11
Bonus Analytics 13
Chapter 2 The Optimal Strategy for Choosing Your Web
Analytics Soul Mate 15
Predetermining Your Future Success . . . . . . . . . . . . .
. . . . . . . . . . . . . 16
Step 1: Three Critical Questions to Ask Yourself Before
You Seek an Analytics Soul Mate! . . . . . . . . . . . . . . .
. . . . . . . . . . . . . 17
Q1: “Do I want reporting or analysis?” 17
Q2: “Do I have IT strength, business strength, or both?” 19
Q3: “Am I solving just for Clickstream or for Web Analytics 2
.0?” 20
Step 2: Ten Questions to Ask Vendors Before You Marry Them
. . . . . 21
Q1: “What is the difference between your tool/solution and free
tools
from Yahoo! and Google?” 21
Q2: “Are you 100 percent ASP, or do you offer a software
version?
Are you planning a software version?” 22
Q3: “What data capture mechanisms do you use?” 22
Q4: “Can you calculate the total cost of ownership for your
tool?” 23
Q5: “What kind of support do you offer? What do you include
for free,
and what costs more? Is it free 24/7?” 24
Q6: “What features in your tool allow me to segment the data?”
25
Q7: “What options do I have for exporting data from your
system into
our company’s system?” 25
Q8: “What features do you provide for me to integrate data from
other
sources into your tool?” 26
Q9: “Can you name two new features/tools/acquisitions your
company
is cooking up to stay ahead of your competition for the next
three years?” 26
Q10: “Why did the last two clients you lost cancel their
contracts?
Who are they using now? May we call one of these former
clients?” 27
Comparing Web Analytics Vendors: Diversify and Conquer . .
. . . . . . 28
The Three-Bucket Strategy 28
Step 3: Identifying Your Web Analytics Soul Mate
(How to Run an Effective Tool Pilot) . . . . . . . . . . . . .
. . . . . . . . . . . . 29
29393ftoc.indd 13 9/16/09 8:35:19 PM
xiv
C
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n
t
s
■
Step 4: Negotiating the Prenuptials: Check SLAs for Your
Web Analytics Vendor Contract . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . 32
Chapter 3 The Awesome World of Clickstream Analysis:
Metrics 35
Standard Metrics Revisited: Eight Critical Web Metrics . . . .
. . . . . . . 36
Visits and Visitors 37
Time on Page and Time on Site 44
Bounce Rate . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . 51
Exit Rate . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . 53
Conversion Rate . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . 55
Engagement . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . 56
Web Metrics Demystified . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . 59
Four Attributes of Great Metrics 59
Example of a Great Web Metric 62
Three Avinash Life Lessons for Massive Success 62
Strategically-aligned Tactics for Impactful Web Metrics . . . .
. . . . . . . 64
Diagnosing the Root Cause of a Metric’s Performance—
Conversion 64
Leveraging Custom Reporting 66
Starting with Macro Insights 70
Chapter 4 The Awesome World of Clickstream Analysis:
Practical
Solution
s 75
A Web Analytics Primer . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 76
Getting Primitive Indicators Out of the Way 76
Understanding Visitor Acquisition Strengths 78
Fixing Stuff and Saving Money 79
Click Density Analysis 81
Measuring Visits to Purchase 83
The Best Web Analytics Report . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . 85
Sources of Traffic 86
Outcomes 87
Foundational Analytical Strategies . . . . . . . . . . . . . .
. . . . . . . . . . . . . 87
Segment or Go Home 88
Focus on Customer Behavior, Not Aggregates 93
Everyday Clickstream Analyses Made Actionable . . . . . . .
. . . . . . . . . 94
Internal Site Search Analysis 95
Search Engine Optimization (SEO) Analysis 101
Pay Per Click/Paid Search Analysis 110
Direct Traffic Analysis 116
Email Campaign Analysis 119
Rich Experience Analysis: Flash, Video, and Widgets 122
Reality Check: Perspectives on Key Web Analytics Challenges
. . . . . 126
Visitor Tracking Cookies 126
Data Sampling 411 130
The Value of Historical Data 133
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xv
■
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S
The Usefulness of Video Playback of Customer Experience 136
The Ultimate Data Reconciliation Checklist 138
Chapter 5 The Key to Glory: Measuring Success 145
Focus on the “Critical Few” . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . 147
Five Examples of Actionable Outcome KPIs . . . . . . . . . .
. . . . . . . . . 149
Task Completion Rate 149
Share of Search 150
Visitor Loyalty and Recency 150
RSS/Feed Subscribers 150
% of Valuable Exits 151
Moving Beyond Conversion Rates . . . . . . . . . . . . . . .
. . . . . . . . . . . . 151
Cart and Checkout Abandonment 152
Days and Visits to Purchase 153
Average Order Value 153
Primary Purpose (Identify the Convertible) 154
Measuring Macro and Micro Conversions . . . . . . . . . . .
. . . . . . . . . 156
Examples of Macro and Micro Conversions 158
Quantifying Economic Value . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . 159
Measuring Success for a Non-ecommerce Website . . . . . . .
. . . . . . . 162
Visitor Loyalty 162
Visitor Recency 164
Length of Visit 165
Depth of Visit 165
Measuring B2B Websites . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . 166
Chapter 6 Solving the “Why” Puzzle: Leveraging Qualitative
Data 169
Lab Usability Studies: What, Why, and How Much? . . . . . .
. . . . . . 170
What Is Lab Usability? 170
How to Conduct a Test 171
Best Practices for Lab Usability Studies 174
Benefits of Lab Usability Studies 174
Areas of Caution 174
Usability Alternatives: Remote and Online Outsourced . . . .
. . . . . . 175
Live Recruiting and Remote User Research 176
Surveys: Truly Scalable Listening . . . . . . . . . . . . . . .
. . . . . . . . . . . . 179
Types of Surveys 180
The Single Biggest Surveying Mistake 184
Three Greatest Survey Questions Ever 185
Eight Tips for Choosing an Online Survey Provider 187
Web-Enabled Emerging User Research Options . . . . . . . .
. . . . . . . . 190
Competitive Benchmarking Studies 190
Rapid Usability Tests 191
Online Card-Sorting Studies 191
Artificially Intelligent Visual Heat Maps 192
29393ftoc.indd 15 9/16/09 8:35:19 PM
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Chapter 7 Failing Faster: Unleashing the Power of Testing and
Experimentation 195
A Primer on Testing Options: A/B and MVT . . . . . . . . .
. . . . . . . . . 197
A/B Testing 197
Multivariate Testing 198
Actionable Testing Ideas . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . 202
Fix the Big Losers—Landing Pages 202
Focus on Checkout, Registration, and Lead Submission Pages
202
Optimize the Number and Layout of Ads 203
Test Different Prices and Selling Tactics 203
Test Box Layouts, DVD Covers, and Offline Stuff 204
Optimize Your Outbound Marketing Efforts 204
Controlled Experiments: Step Up Your Analytics Game! . . . .
. . . . . 205
Measuring Paid Search Impact on Brand Keywords and
Cannibalization 205
Examples of Controlled Experiments 207
Challenges and Benefits 208
Creating and Nurturing a Testing Culture . . . . . . . . . . .
. . . . . . . . . 209
Tip 1: Your First Test is “Do or Die” 209
Tip 2: Don’t Get Caught in the Tool/Consultant Hype 209
Tip 3: “Open the Kimono”—Get Over Yourself 210
Tip 4: Start with a Hypothesis 210
Tip 5: Make Goals Evaluation Criteria and Up-Front Decisions
210
Tip 6: Test For and Measure Multiple Outcomes 211
Tip 7: Source Your Tests in Customer Pain 211
Tip 8: Analyze Data and Communicate Learnings 212
Tip 9: Two Must-Haves: Evangelism and Expertise 212
Chapter 8 Competitive Intelligence Analysis 213
CI Data Sources, Types, and Secrets . . . . . . . . . . . . .
. . . . . . . . . . . . 214
Toolbar Data 215
Panel Data 216
ISP (Network) Data 217
Search Engine Data 217
Benchmarks from Web Analytics Vendors 218
Self-reported Data 219
Hybrid Data 220
Website Traffic Analysis . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . 221
Comparing Long-Term Traffic Trends 222
Analyzing Competitive Sites Overlap and Opportunities 223
Analyzing Referrals and Destinations 224
Search and Keyword Analysis . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . 225
Top Keywords Performance Trend 226
Geographic Interest and Opportunity Analysis 227
Related and Fast-Rising Searches 230
Share-of-Shelf Analysis 231
Competitive Keyword Advantage Analysis 233
Keyword Expansion Analysis 234
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Audience Identification and Segmentation Analysis . . . . . .
. . . . . . . 235
Demographic Segmentation Analysis 236
Psychographic Segmentation Analysis 238
Search Behavior and Audience Segmentation Analysis 239
Chapter 9 Emerging Analytics: Social, Mobile, and Video 241
Measuring the New Social Web: The Data Challenge . . . . .
. . . . . . . 242
The Content Democracy Evolution 243
The Twitter Revolution 247
Analyzing Offline Customer Experiences (Applications) . . . .
. . . . . . 248
Analyzing Mobile Customer Experiences . . . . . . . . . . .
. . . . . . . . . . 250
Mobile Data Collection: Options 250
Mobile Reporting and Analysis 253
Measuring the Success of Blogs . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . 257
Raw Author Contribution 257
Holistic Audience Growth 258
Citations and Ripple Index 262
Cost of Blogging 263
Benefit (ROI) from Blogging 263
Quantifying the Impact of Twitter . . . . . . . . . . . . . . .
. . . . . . . . . . . 266
Growth in Number of Followers 266
Message Amplification 267
Click-Through Rates and Conversions 268
Conversation Rate 270
Emerging Twitter Metrics 271
Analyzing Performance of Videos . . . . . . . . . . . . . . .
. . . . . . . . . . . . 273
Data Collection for Videos 273
Key Video Metrics and Analysis 274
Advanced Video Analysis 278
Chapter 10 Optimal

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Chapter 10Managing ConflictIntroductionWorkplace co.docx

  • 1. Chapter 10: Managing Conflict Introduction Workplace conflicts are often not productive Take time away from one’s job Take time away from providing customer service Strained emotion often lingers Conflict can lead to innovation and creativity Conflict must be managed – not ignored Conflict Defined An expressed struggle between at least two interdependent parties, who perceive incompatible goals, scarce rewards or resources or expectations that are not being met, and interference from the other party or parties in achieving their goals Conflict vs. Difference of Opinion Interdependent parties Incompatible goals Interference If we perceive something, we will often act as if it is true Managing Conflict
  • 2. Dimensions of Conflict History: experiences with the party or other conflicts Source: can be the other person or something less personal Perceptions: assumptions and prejudices often make us think something is true even if it is not Emotions: controlling emotions in a positive manner can lead to positive conflict resolution Behavior: good, controlled behavior can move us toward positive results Effective vs. Dysfunctional Responses Differentiation: “Parties raise the conflict issues and spend sufficient time and energy clarifying positions, pursuing the reasons behind those positions, and acknowledging their differences stage determines differences” (Stutman, 2009, p. 14) Opportunities to develop understanding during this stage Case Study: Zest Manufacturing Wars A small group of managers met for their weekly meeting, and conflict arose Two managers were at odds because both failed to ask for rationale and allowed their emotions to flare A third manager facilitated a conversation to help both parties see how to resolve the conflict Perception was key; both managers perceived that the other was questioning their ability to do their job Have their been times when emotion influenced your perception of something? Did it help or hurt? Conflict Within the Organization Personality conflicts: arise out of differences in the collection
  • 3. of qualities that make people who they are but that also don’t meet our expectations Role confusion: lack of clarity over expectations of our position or fulfilling our job duties Intragroup conflict: conflict within a group Intergroup conflict: conflict between two or more groups Intraorganizational conflict: conflict within an organization Critical Thinking Questions - Conflict Why does conflict often escalate so quickly? In today’s modern society, what other potential sources of conflict within organization can you think of? Styles of Dealing with Conflict Avoiding Those who prefer avoidance recognize a conflict exists, but tend to want to withdraw from, ignore, or suppress it Low concern for satisfying concerns of themselves or others Can be useful when issues are trivial, there is no chance of satisfying your concerns, or disruption outweighs benefits of resolution Competing Individuals who use competition place their own concerns as more important than the concerns of others “I win, you lose” approach Can work when quick action is necessary Can spur creativity and innovation Can lead to one-sidedness and harmful for building trust
  • 4. Accommodation The opposite of competing Putting one’s needs and concerns aside in order to focus on concerns and needs of others Useful when one is wrong about an issue, or an issue is far more important to others, maintaining cooperation as a goal Compromise Often considered the best strategy because it is in the middle of the grid Both parties get something without excessive disruption Balance of loss and gain can be useful and seen as fair Often leaves both parties feeling dissatisfied Collaboration Ideal because of a high concern for needs of all parties involved Win-win result is the goal Collaborative people help to solve problems by being creative and looking for joint gains Trust is an important component of collaborative processes Strategic Objectives We need to consider the importance of the relationship as well as our goals and desires as we decide which tactic to use Managing conflict requires the ability to recognize the tactics of others and adjust our own tactics to complement and/or counter the other party in an effort to achieve the final goal
  • 5. Organizational Conflict and Power Power can determine: How conflict gets resolved What goals a group will pursue How a group’s resources will be distributed Many conflicts have asymmetrical power Forms of Power Formal power is based on an individual’s position in an organization: Coercive power Reward power Legitimate power Personal power is derived from one’s unique characteristics: Expert power Referent power Critical Thinking Questions - Power Consider conflicts in which you have been involved where power has been used by either yourself or the other party Was power used in a productive way? How did the parties to the conflict feel after power was used? Third Party Intervention • In the following three special types of organizational conflicts, it is necessary to bring in a third party. Whistle-blowing, sexual harassment, discrimination • To deal with conflicts via third party intervention: Negotiation Mediator
  • 6. Arbitration (conventional interest arbitration, final offer arbitration) Judicial approach Case Study- Email Fiasco Phil is unhappy with the hiring of new manager Marshall, and the promotion of Trish Marshall suggested changing the inventory process, and Trish supported it while Phil did not Marshall sent an email to the entire company that derided both Trish and Phil What types of conflict exist in this case? What other issues contributed to this conflict situation? Conflict Outside: Dealing with an Angry Public When conflict has moved outside the organization and we are dealing with a potentially angry public, remember there are some key variables to consider in our response: What are the facts of the situation? What emotions are driving the publics’ perception? What are the contextual variables that create and sustain the crisis? What are/should be the organizational actions taken in response to the critical event(s)? Organizations must recognize the various emotions involved and seek to “step into the shoes” of others and understand their varying perspectives Context Matters For-Profit Organizations Dealing with conflict takes time, which can be both positive and
  • 7. negative Family Entrepreneurship Conflict can be dealt with more quickly but can also infect an entire organization faster Nonprofit Organizations Presence of volunteers complicates conflict processes Government Sector Unique rules and guidelines may produce additional interorganizational conflicts 1 page Go to - https://www.alexa.com/siteinfo Lookup these three websites on the above sit search bar. - https://www.doordash.com https://www.ubereats.com https://www.grubhub.com -Click on the Traffic Metrics section for each page (you will need to do this three times and record/write down or screen shot the metrics) -Review the Alexa Rank and Site Metrics for each page -Answer the following two questions in two short paragraphs Based on the metrics; 1- which site do you think is reaching the most customers 2- Which site needs the most improvement and why A V I N A S H K A U S H I K KAUSHIK
  • 8. SERIOUS SKILLS. Web Analytics 2.0 Shift to Data-Driven Decision Making and Leverage the Complete Power of All Web Data W eb A nalytics 2.0 THE ART OF ONLINE ACCOUNTABIL ITY & SCIENCE OF CUSTOMER CENTRICITY[ ] TH E ART O F O N LIN E ACCO U N TABILITY & SCIEN CE O F CU STO M
  • 9. ER CEN TRICITY [ ] INSIDE Your Google AdWords™ Gift Card Worth $25 The Web, online marketing, and advertising have been revolutionized in the last few years, yet the approach to using data has remained largely the same as a decade ago. Web analytics thought leader Avinash Kaushik presents the next-generation framework of web analytics in this exciting book that will dramatically enhance the ability of your organization to think smart and move fast. In this book, Avinash lays out specifi c strategies and execution models to evolve from simply lever- aging clickstream tools to incorporating the insightful elixir of qualitative data, experimentation and testing, and competitive intelligence tools. While expanding upon the industry-shaping lessons from his bestselling book Web Analytics: An Hour a Day, Avinash explains how to measure, analyze, and act upon today’s quickly evolving web technologies and trends—including social media, video, mobile, and online user-centric design options. As he updates traditional approaches, Avinash debunks myths, identifi es traps, and reveals specifi c, simple and advanced methodologies to transform your thinking, making this book the
  • 10. ultimate guide for all web professionals. Avinash Kaushik is the author of the leading research & analytics blog Occam’s Razor. He is also the Analytics Evangelist for Google and the Chief Education Offi cer at Market Motive, Inc. He is a bestselling author and a frequent speaker at key industry conferences around the globe and at leading American universities. He was the recipient of the 2009 Statistical Advocate of the Year award from the American Statistical Association. The author donates all proceeds from his books to two charities, The Smile Train and The Ekal Vidyalaya Foundation. www.sybex.com www.webanalytics20.com COMPUTERS/Internet/ecommerce $39.99 US $47.99 CAN • Discover the solutions for the hardest challenges, including multichannel analytics and multitouch campaign attribution analysis • Quantify the holistic economic value of your website and measure macro and micro conversions for ecommerce, non-ecommerce, and B2B websites • Profi t from analytical methodologies that attack the holy trinity of search: internal site search, pay-per-click marketing, and search engine optimization • Pinpoint the most relevant Key Performance Indicators for
  • 11. your organization and create actionable dashboards that drive change • Master crucial emerging analytics fi elds including Twitter®, YouTube®, blogs, mobile, and rich-media analytics • Leverage experimentation and testing to create truly customer- centric websites and innovate by failing faster • Create data-driven bosses and organizations, and cultivate the skills and background you need for a successful analytics career • Continue learning with four hours of video, an hour of audio, and valuable presentations, templates, and models on the CD ISBN 978-0-470-52939-3 “Analytics is vitally important, and no one explains it more elegantly, more simply, or more powerfully than Avinash Kaushik. Consider buying up all the copies of this book before your competition gets a copy.” —Seth Godin, author, Tribes “Lots of companies have spent lots of time and money collecting data—and sadly do little with it. In Web Analytics 2.0, Avinash Kaushik helps us grasp the importance of this underused resource and shows
  • 12. us how to make the most of on- line data and experimentation.” —Dan Ariely, Professor of Behavioral Economics, Duke University, and author of Predictably Irrational “Kaushik takes the witchcraft out of analytics. If venture capitalists read this book, they would fi re half of the CEOs that they’ve funded.” —Guy Kawasaki, Co-founder of Alltop & Garage Technology Ventures 29393ffirs.indd 2 9/17/09 1:57:27 AM Praise for Web Analytics 2.0 When it comes to the digital marketing channels and understanding what and why people do things online, there is no one smarter than Avinash Kaushik. His first book, Web Analytics: An Hour a Day, should be on every marketer’s desk. Now, with Web Analytics 2.0, there’s a wor- thy accompaniment. When people ask, ‘Who is the smartest guy in the room when it comes to online marketing?’ only one name comes to mind: Avinash. I’d tell you to buy this book, but I would prefer if you didn’t. I’d love to keep these concepts and theories all to myself and my cli- ents. Yes, it’s that powerful, awesome, and actionable.
  • 13. —Mitch Joel, president of Twist Image and author of Six Pixels of Separation Analytics is vitally important, and no one (no one) explains it more elegantly, more simply, or more power fully than Avinash Kaushik. Consider buying up all the copies of this book before your competition gets a copy. —Seth Godin, author, Tribes Lots of companies have spent lots of time and money collecting data—and sadly do little with it. In Web Analytics 2.0, Avinash Kaushik helps us grasp the importance of this underused resource and shows us how to make the most of online data and experimentation. — Dan Ariely, professor of Behavioral Economics, Duke University and author of Predictably Irrational Kaushik takes the witchcraft out of analytics. If venture capitalists read this book, they would fire half of the CEOs that they’ve funded. —Guy Kawasaki, co-founder of Alltop & Garage Technology Ventures 29393ffirs.indd 1 9/17/09 1:57:27 AM 29393ffirs.indd 2 9/17/09 1:57:27 AM
  • 14. Web Analytics 2.0 29393ffirs.indd 3 9/17/09 1:57:27 AM 29393ffirs.indd 4 9/17/09 1:57:27 AM Web Analytics 2.0 The Art of Online Accountability & Science of Customer Centricity A v i n a s h K a u s h i k 29393ffirs.indd 5 9/17/09 1:57:27 AM Senior Acquisitions Editor: Willem Knibbe Development Editor: Stephanie Barton Production Editor: Elizabeth Ginns Britten Copy Editor: Kim Wimpsett Editorial Manager: Pete Gaughan Production Manager: Tim Tate Vice President and Executive Group Publisher: Richard Swadley Vice President and Publisher: Neil Edde Media Assistant Project Manager: Jenny Swisher Media Associate Producers: Doug Kuhn and Josh Frank Media Quality Assurance: Marilyn Hummel Book Designer: Franz Baumhackl Compositor: Maureen Forys, Happenstance Type-O-Rama Proofreader: Word One, New York Indexer: Ted Laux
  • 15. Project Coordinator, Cover: Lynsey Stanford Cover Designer: Ryan Sneed Cover Image: iStockPhoto Copyright © 2010 by Wiley Publishing, Inc., Indianapolis, Indiana Published simultaneously in Canada ISBN: 978-0-470-52939-3 No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appro- priate per-copy fee to the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646- 8600. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions. Limit of Liability/Disclaimer of Warranty: The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warran- ties of fitness for a particular purpose. No warranty may be
  • 16. created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a compe- tent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Web site is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or Web site may provide or recommendations it may make. Further, readers should be aware that Internet Web sites listed in this work may have changed or disappeared between when this work was written and when it is read. For general information on our other products and services or to obtain technical support, please contact our Customer Care Department within the U.S. at (877) 762-2974, outside the U.S. at (317) 572-3993 or fax (317) 572-4002. Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in elec- tronic books. Library of Congress Cataloging-in-Publication Data is available from the publisher. TRADEMARKS: Wiley, the Wiley logo, and the Sybex logo are
  • 17. trademarks or registered trademarks of John Wiley & Sons, Inc. and/ or its affiliates, in the United States and other countries, and may not be used without written permission. All other trademarks are the property of their respective owners. Wiley Publishing, Inc., is not associated with any product or vendor mentioned in this book. 10 9 8 7 6 5 4 3 2 1 29393ffirs.indd 6 9/17/09 1:57:27 AM Dear Reader, Thank you for choosing Web Analytics 2.0: The Art of Online Accountability & Science of Customer Centricity. This book is part of a family of premium-quality Sybex books, all of which are written by outstanding authors who combine practical experience with a gift for teaching. Sybex was founded in 1976. More than 30 years later, we’re still committed to producing consistently exceptional books. With each of our titles we’re working hard to set a new standard for the industry. From the paper we print on to the authors we work with, our goal is to bring you the best books available. I hope you see all that reflected in these pages. I’d be very interested to hear your com- ments and get your feedback on how we’re doing. Feel free to
  • 18. let me know what you think about this or any other Sybex book by sending me an email at [email protected], or if you think you’ve found a technical error in this book, please visit http://sybex.custhelp.com. Customer feedback is critical to our efforts at Sybex. Best regards, Neil Edde Vice President and Publisher Sybex, an Imprint of Wiley 29393ffirs.indd 7 9/17/09 1:57:27 AM 29393ffirs.indd 8 9/17/09 1:57:27 AM Acknowledgments Were it not for the love, patience, and support of my family, it would be impossible to write this book and hold down a few full-time jobs, advise three companies, write a blog, and travel the world evangelizing the awesomeness of data. I’m lucky. My wife Jennie is my biggest cheerleader and counsel, and for that I shall remain in debt to her for several lifetimes. My daughter Damini’s courage and kindness is a constant source of inspiration. My son Chirag’s intellect and energy reminds me to always be curious and strive for more.
  • 19. I would like to express my deep appreciation to the readers of my blog, Occam’s Razor. In approximately three and a half years I have written 411,725 words in my 204 blog posts, and the readers of my blog have written 615,192 words in comments! Their engagement means the world to me and motivates me to make each blog post better than the last. It is impossible to thank each person, so on their behalf let me thank three: Ned Kumar, Rick Curtis, and Joe Teixeira. As the song goes, I get by with a little help from my friends… in the last few years I have benefited from the help of two dear friends in particular. Bryan Eisenberg, the author of Always Be Testing, has consistently shared life lessons about this business and helped a ton with my own journey. Mitch Joel, the author of Six Pixels of Separation, has helped me become a better public speaker and, as if that were not enough, connected me with anyone worth connecting to! Thanks, guys. A huge motivation behind this book was the incredible work done by The Smile Train, Doctors Without Borders, and Ekal Vidyalaya. They make the world a better place, and I feel blessed that the money raised by my books helps me be a small part of their mission. Last, but not least, my fantastic team at Wiley. This book was written and
  • 20. published at a pace that would drive mere mortals crazy, but not them. They worked harder than I did, they pushed deadlines (and me!), and they made the impossible hap- pen. Stephanie Barton, Kim Wimpsett, Liz Britten, and Willem Knibbe, you rock! To the wind beneath my wings, my inimitable wife Jennie. 29393ffirs.indd 9 9/17/09 1:57:27 AM 29393ffirs.indd 10 9/17/09 1:57:27 AM About the Author Avinash Kaushik is author of the best-selling book Web Analytics: An Hour a Day (http://www.snipurl.com/wahour). He is also the analytics evangelist for Google and the cofounder of Market Motive, Inc. As a thought leader, Avinash puts a commonsense framework around the often frenetic world of web analyt- ics and combines that framework with the philosophy that investing in talented analysts is the key to long-term success. He is also a staunch advocate of listening to the consumer and is committed to helping organizations unlock the value of web data. Avinash works with some of the largest companies in the world to help them evolve their online marketing and analytics strategies to become data-driven and customer- centric organizations. He recently received the 2009 Statistical
  • 21. Advocate of the Year award from the American Statistical Association. He is also a frequent speaker at industry conferences in the United States and Europe, such as Ad-Tech, Monaco Media Forum, iCitizen, and JMP Innovators’ Summit, as well as at major universities, such as Stanford University, University of Virginia, and University of Utah. You’ll find Avinash’s web analytics blog, Occam’s Razor, at www.kaushik.net/avinash. 29393ffirs.indd 11 9/17/09 1:57:28 AM 29393ffirs.indd 12 9/17/09 1:57:28 AM Contents Introduction xxi Chapter 1 The Bold New World of Web Analytics 2.0 1 State of the Analytics Union . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 State of the Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Rethinking Web Analytics: Meet Web Analytics 2 .0 . . . . . . . . . . . . . . 4 The What: Clickstream 7 The How Much: Multiple Outcomes Analysis 7
  • 22. The Why: Experimentation and Testing 8 The Why: Voice of Customer 9 The What Else: Competitive Intelligence 9 Change: Yes We Can! . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 The Strategic Imperative 10 The Tactical Shift 11 Bonus Analytics 13 Chapter 2 The Optimal Strategy for Choosing Your Web Analytics Soul Mate 15 Predetermining Your Future Success . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Step 1: Three Critical Questions to Ask Yourself Before You Seek an Analytics Soul Mate! . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Q1: “Do I want reporting or analysis?” 17 Q2: “Do I have IT strength, business strength, or both?” 19 Q3: “Am I solving just for Clickstream or for Web Analytics 2 .0?” 20 Step 2: Ten Questions to Ask Vendors Before You Marry Them . . . . . 21 Q1: “What is the difference between your tool/solution and free tools from Yahoo! and Google?” 21 Q2: “Are you 100 percent ASP, or do you offer a software version? Are you planning a software version?” 22 Q3: “What data capture mechanisms do you use?” 22 Q4: “Can you calculate the total cost of ownership for your tool?” 23 Q5: “What kind of support do you offer? What do you include
  • 23. for free, and what costs more? Is it free 24/7?” 24 Q6: “What features in your tool allow me to segment the data?” 25 Q7: “What options do I have for exporting data from your system into our company’s system?” 25 Q8: “What features do you provide for me to integrate data from other sources into your tool?” 26 Q9: “Can you name two new features/tools/acquisitions your company is cooking up to stay ahead of your competition for the next three years?” 26 Q10: “Why did the last two clients you lost cancel their contracts? Who are they using now? May we call one of these former clients?” 27 Comparing Web Analytics Vendors: Diversify and Conquer . . . . . . . . 28 The Three-Bucket Strategy 28 Step 3: Identifying Your Web Analytics Soul Mate (How to Run an Effective Tool Pilot) . . . . . . . . . . . . . . . . . . . . . . . . . 29 29393ftoc.indd 13 9/16/09 8:35:19 PM xiv C o
  • 24. n t e n t s ■ Step 4: Negotiating the Prenuptials: Check SLAs for Your Web Analytics Vendor Contract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Chapter 3 The Awesome World of Clickstream Analysis: Metrics 35 Standard Metrics Revisited: Eight Critical Web Metrics . . . . . . . . . . . 36 Visits and Visitors 37 Time on Page and Time on Site 44 Bounce Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 Exit Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Conversion Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Engagement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
  • 25. Web Metrics Demystified . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Four Attributes of Great Metrics 59 Example of a Great Web Metric 62 Three Avinash Life Lessons for Massive Success 62 Strategically-aligned Tactics for Impactful Web Metrics . . . . . . . . . . . 64 Diagnosing the Root Cause of a Metric’s Performance— Conversion 64 Leveraging Custom Reporting 66 Starting with Macro Insights 70 Chapter 4 The Awesome World of Clickstream Analysis: Practical Solution s 75 A Web Analytics Primer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 Getting Primitive Indicators Out of the Way 76 Understanding Visitor Acquisition Strengths 78 Fixing Stuff and Saving Money 79 Click Density Analysis 81 Measuring Visits to Purchase 83
  • 26. The Best Web Analytics Report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 Sources of Traffic 86 Outcomes 87 Foundational Analytical Strategies . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 Segment or Go Home 88 Focus on Customer Behavior, Not Aggregates 93 Everyday Clickstream Analyses Made Actionable . . . . . . . . . . . . . . . . 94 Internal Site Search Analysis 95 Search Engine Optimization (SEO) Analysis 101 Pay Per Click/Paid Search Analysis 110 Direct Traffic Analysis 116 Email Campaign Analysis 119 Rich Experience Analysis: Flash, Video, and Widgets 122 Reality Check: Perspectives on Key Web Analytics Challenges . . . . . 126 Visitor Tracking Cookies 126 Data Sampling 411 130 The Value of Historical Data 133
  • 27. 29393ftoc.indd 14 9/16/09 8:35:19 PM xv ■ C O N T E N T S The Usefulness of Video Playback of Customer Experience 136 The Ultimate Data Reconciliation Checklist 138 Chapter 5 The Key to Glory: Measuring Success 145
  • 28. Focus on the “Critical Few” . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 Five Examples of Actionable Outcome KPIs . . . . . . . . . . . . . . . . . . . 149 Task Completion Rate 149 Share of Search 150 Visitor Loyalty and Recency 150 RSS/Feed Subscribers 150 % of Valuable Exits 151 Moving Beyond Conversion Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 Cart and Checkout Abandonment 152 Days and Visits to Purchase 153 Average Order Value 153 Primary Purpose (Identify the Convertible) 154 Measuring Macro and Micro Conversions . . . . . . . . . . . . . . . . . . . . 156 Examples of Macro and Micro Conversions 158 Quantifying Economic Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159
  • 29. Measuring Success for a Non-ecommerce Website . . . . . . . . . . . . . . 162 Visitor Loyalty 162 Visitor Recency 164 Length of Visit 165 Depth of Visit 165 Measuring B2B Websites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 Chapter 6 Solving the “Why” Puzzle: Leveraging Qualitative Data 169 Lab Usability Studies: What, Why, and How Much? . . . . . . . . . . . . 170 What Is Lab Usability? 170 How to Conduct a Test 171 Best Practices for Lab Usability Studies 174 Benefits of Lab Usability Studies 174 Areas of Caution 174 Usability Alternatives: Remote and Online Outsourced . . . . . . . . . . 175 Live Recruiting and Remote User Research 176
  • 30. Surveys: Truly Scalable Listening . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 Types of Surveys 180 The Single Biggest Surveying Mistake 184 Three Greatest Survey Questions Ever 185 Eight Tips for Choosing an Online Survey Provider 187 Web-Enabled Emerging User Research Options . . . . . . . . . . . . . . . . 190 Competitive Benchmarking Studies 190 Rapid Usability Tests 191 Online Card-Sorting Studies 191 Artificially Intelligent Visual Heat Maps 192 29393ftoc.indd 15 9/16/09 8:35:19 PM xvi C o n
  • 31. t e n t s ■ Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation 195 A Primer on Testing Options: A/B and MVT . . . . . . . . . . . . . . . . . . 197 A/B Testing 197 Multivariate Testing 198 Actionable Testing Ideas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202 Fix the Big Losers—Landing Pages 202 Focus on Checkout, Registration, and Lead Submission Pages 202 Optimize the Number and Layout of Ads 203
  • 32. Test Different Prices and Selling Tactics 203 Test Box Layouts, DVD Covers, and Offline Stuff 204 Optimize Your Outbound Marketing Efforts 204 Controlled Experiments: Step Up Your Analytics Game! . . . . . . . . . 205 Measuring Paid Search Impact on Brand Keywords and Cannibalization 205 Examples of Controlled Experiments 207 Challenges and Benefits 208 Creating and Nurturing a Testing Culture . . . . . . . . . . . . . . . . . . . . 209 Tip 1: Your First Test is “Do or Die” 209 Tip 2: Don’t Get Caught in the Tool/Consultant Hype 209 Tip 3: “Open the Kimono”—Get Over Yourself 210 Tip 4: Start with a Hypothesis 210 Tip 5: Make Goals Evaluation Criteria and Up-Front Decisions 210 Tip 6: Test For and Measure Multiple Outcomes 211 Tip 7: Source Your Tests in Customer Pain 211 Tip 8: Analyze Data and Communicate Learnings 212 Tip 9: Two Must-Haves: Evangelism and Expertise 212 Chapter 8 Competitive Intelligence Analysis 213
  • 33. CI Data Sources, Types, and Secrets . . . . . . . . . . . . . . . . . . . . . . . . . 214 Toolbar Data 215 Panel Data 216 ISP (Network) Data 217 Search Engine Data 217 Benchmarks from Web Analytics Vendors 218 Self-reported Data 219 Hybrid Data 220 Website Traffic Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 Comparing Long-Term Traffic Trends 222 Analyzing Competitive Sites Overlap and Opportunities 223 Analyzing Referrals and Destinations 224 Search and Keyword Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225 Top Keywords Performance Trend 226 Geographic Interest and Opportunity Analysis 227 Related and Fast-Rising Searches 230 Share-of-Shelf Analysis 231 Competitive Keyword Advantage Analysis 233 Keyword Expansion Analysis 234
  • 34. 29393ftoc.indd 16 9/16/09 8:35:19 PM xvii ■ C O N T E N T S Audience Identification and Segmentation Analysis . . . . . . . . . . . . . 235 Demographic Segmentation Analysis 236
  • 35. Psychographic Segmentation Analysis 238 Search Behavior and Audience Segmentation Analysis 239 Chapter 9 Emerging Analytics: Social, Mobile, and Video 241 Measuring the New Social Web: The Data Challenge . . . . . . . . . . . . 242 The Content Democracy Evolution 243 The Twitter Revolution 247 Analyzing Offline Customer Experiences (Applications) . . . . . . . . . . 248 Analyzing Mobile Customer Experiences . . . . . . . . . . . . . . . . . . . . . 250 Mobile Data Collection: Options 250 Mobile Reporting and Analysis 253 Measuring the Success of Blogs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 Raw Author Contribution 257 Holistic Audience Growth 258 Citations and Ripple Index 262 Cost of Blogging 263 Benefit (ROI) from Blogging 263
  • 36. Quantifying the Impact of Twitter . . . . . . . . . . . . . . . . . . . . . . . . . . 266 Growth in Number of Followers 266 Message Amplification 267 Click-Through Rates and Conversions 268 Conversation Rate 270 Emerging Twitter Metrics 271 Analyzing Performance of Videos . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 Data Collection for Videos 273 Key Video Metrics and Analysis 274 Advanced Video Analysis 278 Chapter 10 Optimal