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An overview of the web analytics ecosystem and uncover how web behavior analytics can free you from the status quo of just counting page views. More importantly, you will discover what you need to do to truly leverage the data that is available to you from the website. Ultimately, you will walk away with: • An understanding of the differences between available tools • Insight on what data to collect on your site • Tips to help get your manager to embrace web behavior analytics • Checklist of next steps
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A l i th W b itAnalyzing the WebsiteThe difference between metrics and analytics
24June 201024June 2010
Ivan ChalifDi t f P d t M k tiDirector of Product Marketing
EVOLVE AND GROWEVOLVE AND GROW
Everything Changes
Everything Changes
Agenda
1. A Short History
2. Some Background
3. How Analytics is Changing
4. Moving the Needle in Your Organization
5. Next Steps
6. Q & A
A SHORT HISTORYA SHORT HISTORY
A Brief History of Web Analytics
‘90: Public Internet &
HTTP‘97: Javascriptbroadly used
for data collection
‘06: Visual Sciences buys WebSide Story
‘93: WA is born via log
analysis
collection‘07: Omniture buys Visual
Sciences
‘09: Adobe
‘91: 1st web server
‘05: Google buys Urchin
‘95:
buys Omniture
‘10: Alterian WebJourney
1990 20101995 2000 2005
‘05: Google releases GA
95: Javascriptreleased ‘10: IBM buys
Coremetrics
SOME BACKGROUNDSOME BACKGROUND
Definitions
• Data: a measure of an action that can be tracked
– a click
– a page view
– a download
– a purchase
Definitions
• Metric: a sum or ratio of data
– click rate
Definitions
• Metric: a sum or ratio of data
– click rate
– ratio of new/returning visitors
Definitions
• Metric: a sum or ratio of data
– click rate
– ratio of new/returning visitors
– page views this hour/day/week/month/quarter/yearweek/month/quarter/year
Definitions
• Analytics: understanding what drives the behavior
– Is the content useful?
Definitions
• Analytics: understanding what drives the behavior
– Is the content useful?
– Does this layout work better for this segment?
Definitions
• Analytics: understanding what drives the behavior
– Is the content useful?
– Does this layout work better for this segment?
– Does some combination ofDoes some combination of trackable elements affect behavior?
Definitions
• Analytics: understanding what drives the behavior
– Is the content useful?
– Does this layout work better for this segment?
– Does some combination ofDoes some combination of trackable elements affect behavior?
– Is this the right image to use?
HOW ANALYTICS AREHOW ANALYTICS ARE CHANGING
Google Changed the Game
Number of organizations tracking what’s happening on their website
Before Google
Analytics
After Google Analytics
Looking At the Past or Toward the Future
Looking At the Past
• The metrics of traditional web analytics are used to report on what has already happened
– How many?
– Where did they go?
– How long did they stay?– How long did they stay?
– Did they complete the desired process (sign-up, download, purchase etc)?purchase, etc)?
Aberdeen: Retail E-Commerce Analytics: Cornerstone of the Complete Customer Profile
Looking Toward the Future
• Web behavioral analytics are used to steer the future
– How are the visitors alike
– Are there patterns in the traffic or behavior on a pageAre there patterns in the traffic or behavior on a page
– Which content resonates with visitors
– What else can I determine about the visitor to improve the relationship
Aberdeen: Retail E-Commerce Analytics: Cornerstone of the Complete Customer Profile
Marketers Need More Than Just Web Analytics…
“First and second‐generation analyticFirst and second‐generation analytic vendors are good at what they do, but mining for correlation and
ti ithi i di tcausation within massive, disparate online and offline data sets is simply not what they do.” – Eric T. Petersony
Differences in Analytics Tools
W b A l ti W b B h i A l tiWeb Analytics Web Behavior Analytics
• Focus on source • Focus on the individual• Dashboards
• Track page flow on site
• Capture non-click behavior
• Search term(s)
• Environmental data
• Aggregate data
• Report on metrics
• Track creative assets
• Additional data overlay
data
• Standard reportsp
broadly within an organization
y(corp., demo., profile)
• 1:1 data
• Custom reports
How to use Behavioral Data
• Find out what happens between the clicks
– Scrolling
– HoveringHovering
– Copy/paste
How to use Behavioral Data
• Understand how visitors are interacting with the dynamic content on the website
How to use Behavioral Data
• Combine web behavioral data with other data for deeper analysis, segmentation and content delivery
How to use Behavioral Data
• Link to individual profiles when visitor identifies themselves
How to use Behavioral Data
• Link to individual profiles when visitor identifies themselves
How to use Behavioral Data
U d t d h t it i it DOUnderstand what site visitors DO rather than just where they GO
MOVING THE NEEDLEMOVING THE NEEDLE
Identify Your Goals and Data Needs
• Before embarking on any web behavioral analytics project, consider the following:
– Why are you collecting the data?
– What will you do with the data?
Wh t ti d d t– What questions do you need to answer?
– What data is needed to make informed decisions?
– Who is going to utilize the data?
Taking it to Your Manager
• Determine how web behavior analytics can benefit them
• Determine how analytics can benefit the larger organizationbenefit the larger organization
• Build a story (with case studies)y ( )
• Map out costs and benefits andindentify ROI
• Design a phased deployment• Design a phased deployment
Next Steps for Your Program
1. Look at where you are and where you want to be
2. If it’s not already part of your strategy, include behavioral analytics
3. If you already have a webanalytics tool, evaluatey ,some behavioral ones
4. Identify integration points
RECAPRECAP
What We’ve Covered
• A bit about where we came from
• A bit about how things arethings are changing
• A bit about how you can start making a plan tomaking a plan to move the needle
Resources
• Books– Web Analytics Demystified by Eric T. Peterson– Web Analytics 2.0 by Avinash Kaushik– Actionable Web Analytics by Jason Burby and Shane Atchison
• Webhtt // /– http://www.occamsrazor.com/
– http://www.webanalyticsdemystified.com/– http://www.webanalyticsassociation.org/– http://www.alterian.com/products/web-behavior-analytics/
Q & AQ & A
Alterian WebJourney
http://www.alterian.com/
A l i th W b itAnalyzing the WebsiteThe difference between metrics and analytics
24June 201024June 2010
Ivan ChalifDi t f P d t M k tiDirector of Product Marketing