Presented by Eric T. Peterson, Web Analytics Demystified and Elissa Fink, Tableau Software Web Analytics: A Day a Month
Presented byEric T. Peterson, Web Analytics Demystified and
Elissa Fink, Tableau Software
Web Analytics: A Day a Month
Customers:MicrosoftCharles SchwabWells FargoCisco SystemsFirst American RE Solutions1,000s more….
Partnerships:Microsoft Gold Certified Oracle Worldwide OEM
Overview:Leaders in fast analytics and visualizationStanford University originsDepartment of Defense project
Professor Pat HanrahanDr. Chris Stolte
Leadership:Executives from Microsoft, Oracle, Pixar and VisioCTO holds two Academy AwardsStanford researchers
About Tableau SoftwareMission: Help people see & understand data
Presenting Eric T. Peterson
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Evaluation Software is availablewww.tableausoftware.com/ama
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WebAnalyticsDemystifiedWebAnalyticsDemystified
Web Analytics:
A Day a Month
Web Analytics:
A Day a MonthEric T. PetersonWeb Analytics Demystified
www.webanalyticsdemystified.comWebAnalyticsDemystifiedWebAnalyticsDemystified www.webanalyticsdemystified.comwww.webanalyticsdemystified.comWebAnalyticsDemystifiedWebAnalyticsDemystified www.webanalyticsdemystified.comWebAnalyticsDemystified
Web Analytics Demystified
www.webanalyticsdemystified.com
Introduction
• Founder, Web Analytics Demystified, Inc.
• Blogger and researcher at www.webanalyticsdemystified.com
• Author of three books and a popular blog on web measurement
• Web Analytics Demystified
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• Web Analytics Demystified
• Web Site Measurement Hacks
• The Big Book of Key Performance Indicators
• Web Analytics Demystified, Inc. is a web analytics consulting group based in
Portland, Oregon
Web Analytics is Hard!
• Fifty-six percent of web analytics professionals with 3 or more years experience
say that “web analytics is difficult”
• Twenty-eight percent of this same group say that web analytics is currently
answering less than half of relevant business questions
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• This number skyrockets to 53% for practitioners having less than
six months of experience!
• You need a strategic roadmap for success with web analytics
• Plan to execute quarter over quarter, month over month,
one month at a time
First Quarter:First Quarter:
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First Quarter:
Refine Management of Analytics
First Quarter:
Refine Management of Analytics
JANUARY: Clarify Ownership of Analytics
• Too often ownership of web analytics is murky
• Being successful requires clear, senior ownership
• Senior owners have budget
• Senior owners have resources
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• Senior owners have appropriate relationships
• Senior owners have a clear understanding of the business
• Business, finance, I.T.? Doesn’t matter!
• In Januarymake sure someone senior is willing to assume
responsibility for making web analytics a profit center!
FEBRUARY: Document Business Objectives
• You cannot efficiently and effectively measure everything
• You need a refining lens through which you can plan, collect, measure, and report
• In Februarymake sure you’ve clearly defined your
business objectives
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FEBRUARY: Document Business Objectives
• You cannot efficiently and effectively measure everything
• You need a refining lens through which you can plan, collect, measure, and report
• In Februarymake sure you’ve clearly defined your
business objectivesForm CompletionVisitor Activities
Success Indicators
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Gather Qualified Leads Online
Visitor Completes Form
Form CompletionRate
Form Start Rate
Visitor EmailsDirectly
Email Gather Rate
Business Objective
Visitor Activities
Generate Book Sales
Gather Qualified Leads Online
Gather Qualified Leads Online
Business Objectives
MARCH: Optimize Your Analysis Processes
• Do you know how “web analytics” gets done at your company?
• Who is responsible for managing the technology?
• Who is responsible for generating reports?
• Who is responsible for providing analysis?
• Who is responsible for multivariate testing of pages and campaigns?
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• Who is responsible for multivariate testing of pages and campaigns?
• Who is responsible for acting on the data?
• Simply “hoping” you have a process sometimes doesn’t work
• In March take the time to document how web analytics is
implemented and used throughout your organization
MARCH: Optimize Your Analysis Processes
• Do you know how “web analytics” gets done at your company?
• Who is responsible for managing the technology?
• Who is responsible for generating reports?
• Who is responsible for providing analysis?
• Who is responsible for multivariate testing of pages and campaigns?
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• Who is responsible for multivariate testing of pages and campaigns?
• Who is responsible for acting on the data?
• Simply “hoping” you have a process sometimes doesn’t work
• In March take the time to document how web analytics is implemented and used
throughout your organization
Second Quarter:Second Quarter:
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Second Quarter:
Evaluate Your Inputs and Outputs
Second Quarter:
Evaluate Your Inputs and Outputs
APRIL: Evaluate Your Data Collection
• Companies have a tendency to either over-collect or under-collect data
• “Web 2.0” and “Web 3.0” aggravate this problem
• Event-based data from AJAX, Flash, and other Rich Internet Applications
• Data from widgets, social networking campaigns, RSS usage
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• Mobile-specific sites and mobile content
• The challenge is determining which data will help you better understand your
visitors and optimize your marketing efforts
• In April conduct a data source review and combinability reconciliation project to
ensure you have the right data for the job
APRIL: Evaluate Your Data Collection
• Data reconciliation is a three step process:
1. List your business objectives, activities, and key questions you have about each
2. List all sources of data that impact individual business objectives
3. Build a matrix of questions and data, carefully noting which data is currently available and
which is integrated to answer each type of question
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which is integrated to answer each type of question
• BONUS STEP: Data integration
4. Use a data analysis environment to explore the
combinability of data prior to starting complex
web analytics data integration projects
APRIL: Evaluate Your Data Collection
• Data reconciliation is a three step process:
1. List your business objectives, activities, and key questions you have about each
2. List all sources of data that impact individual business objectives
3. Build a matrix of questions and data, carefully noting which data is currently available and
which is integrated to answer each type of question
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which is integrated to answer each type of question
• BONUS STEP: Data integration
4. Use a data analysis environment to explore the
combinability of data prior to starting complex
web analytics data integration projects
MAY: Review Your Existing Technology
• Is your solution powerful enough for your needs?
• Does it support data integration?
• Does it support multi-dimensional analysis and complex visitor segmentation?
• Does it support dashboards, robust reporting and analysis?
• Does it take appropriate resources to maintain?
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• Does it take appropriate resources to maintain?
• Does it come from a strong, stable company?
• The marketplace is rapidly changing …
• In May conduct a vendor suitability review to determine the
long-term viability of your current measurement solution
JUNE: Optimize Your Communication Strategy
• There are many ways to communicate web analytics data
• Different types of people respond to different strategies
• In June review your web analytics communication strategy and look for ways to
optimize your organization’s internal use of web data
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JUNE: Optimize Your Communication Strategy
• Do people read and understand your reports? Take the test!
1. Deliver the reports on Monday; call Tuesday and ask a question about the data
2. Deliver last week’s report again; see if the recipient notices
3. Change all the colors in the report; see if the recipient comments
4. Stop delivering the report; see if the recipient complains
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4. Stop delivering the report; see if the recipient complains
5. Stop delivering all reports; see if anyone complains
• If you don’t get the right response it’s time to evaluate your
data communication strategy
• PowerPoint? Wiki? Podcast? Internal Blog? Newsletter?
Third Quarter:Third Quarter:
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Third Quarter:
Examine Your Commitment
Third Quarter:
Examine Your Commitment
JULY: Examine Your Resource Commitment
• No great surprise, web analytics is hard
• People make web analytics work in any complex organization
• Unfortunately, experienced people are pretty hard to find
• Indeed.com has 275% more postings for “web analytics” now
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• Indeed.com has 275% more postings for “web analytics” now
than in February 2005
• Salaries for experienced people reflect this demand
• Some HR departments are slow to realize this
• In July get realistic about hiring someone to manage
your web analytics efforts
JULY: Examine Your Resource Commitment
• How to find the best people to manage your web analytics efforts:
1. Be realistic about how much salary you’re willing/able to pay (graph on left)
2. Be realistic about how much experience you need (graph on right)
3. Sell the company and the opportunity in your job posting
4. Consider outside help (recruiters, niche job boards)
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4. Consider outside help (recruiters, niche job boards)
AUGUST: Evaluate Your Ability to Analyze Data
• Too many companies confuse “reports” with “analysis”
• Both are important, but analysis is more important; analysis drives action
• Big secret: most senior executives prefer thoughtful analysis
• In August start to produce and use analysis of your visitor’s behavior
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+ + =Good Data Good Technology Smart People Good Analysis
SEPTEMBER: Determine Your Ability to Test
• Testing is fundamental to web analytics
• Can be simple A/B or multivariate, doesn’t really matter
• You don’t know, the HiPPO doesn’t know, your customer knows
• Test your buttons, messages, pages, campaigns, Web 2.0 applications, etc.
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• Testing is the only good way to calculate your ROI from web analytics
• In September implement
some type of marketing and
content testing framework
SEPTEMBER: Determine Your Ability to Test
• Testing is fundamental to web analytics
• Can be simple A/B or multivariate, doesn’t really matter
• You don’t know, the HiPPO doesn’t know, your customer knows
• Test your buttons, messages, pages, campaigns, Web 2.0 applications, etc.
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• Testing is the only good way to calculate your ROI from web analytics
• In September implement
technology and start putting
your analysis to work by testing
your brilliant people’s
recommendations
Fourth Quarter:Fourth Quarter:
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Fourth Quarter:
Challenge Yourself
Fourth Quarter:
Challenge Yourself
OCTOBER: Extend Your Use of Visitor Segments
• There is no “average” customer
• Segmenting your visitors ties the data back to your business objectives
• Behavioral segments, to understand people who fail to complete critical activities
• Technographic segments, to understand whether browsers or hardware affects success
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• Customer segments, to understand whether you’re serving your most valuable audience
• Segmentation is often arduous but the benefit is well worth the effort
• In October put your visitor segmentation
technology to work by segmenting your
key reports, KPIs, and analysis
Gather Qualified Leads Online
OCTOBER: Extend Your Use of Visitor Segments
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NOVEMBER: Expand Your Use of Customer Data
• Quantitative click-stream data alone is not enough
• Eventually you’ll need robust qualitative inputs
• The Web Site Optimization Ecosystem has two additional measurement
technologies
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• Voice of Customer
• Customer Experience Management
• In November evaluate your ability to capture,
integrate, and drill-down into qualitative
data
NOVEMBER: Expand Your Use of Customer Data
• The integrated use of these
technologies powers drives
analytical insight!
• Fewer “we don’t know” moments
• More robust metrics and
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• More robust metrics and
indicators
• Faster response times
• Greater ability to conduct rich
analysis of visitor behavior
• Better analysis leads to better customer
relationships and marketing efforts
DECEMBER: Evaluate Your Progress
• Oddly, few companies regularly review their measurement efforts
• But web analytics is hard, and a lot can go wrong over a year
• Priorities change
• Resources come and go
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• Vendors consolidate and fail
• New data emerges, old data stales
• New marketing technology is deployed
• In December bring everyone analytics touches together
and ask “how is it going?” and “what can we do better?”
Still Have Energy?Still Have Energy?
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Still Have Energy?
Expand Your Horizons
Still Have Energy?
Expand Your Horizons
Expand Your (Web Analytics) Horizons
• There are a few events and opportunities you should know about:
• Web Analytics Wednesdays (www.webanalyticsdemystified.com)
• Web Analytics Association (www.webanalyticsassociation.org)
• The Marketing Optimization Summit (www.emetrics.org)
• The SEMphonic X Change (www.semphonic.com)
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• The SEMphonic X Change (www.semphonic.com)
• Also, a few very good blogs:
• Gary Angel, Judah Phillips, Daniel Shields, Dennis Mortensen,
Aurelie Pols, June Dershewitz, Anil Batra, Phil Kemelor, Lars
Johansson
Summary
• There is actually a lot involved in being successful with web analytics
• A thoughtful examination of the current state will do wonders for you
• There is something I call RAMP that describes your core needs for success:
• Resources,which are technology and people
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• Resources,which are technology and people
• Analysis, not just reports and key performance indicators
• Multivariate testing, to prove the analysis the people do is right or wrong
• Process, to make your resources, analysis, and testing work together efficiently
• If you take it one month at a time, I am confident you will be very successful
• More information at www.webanalyticsdemystified.com
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