Google analytics / Seo Camp Montreal
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Web Analytics: The Search For Meaning
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PROFESSIONAL BACKGROUND
Adapt or Die Marketing (Founder: 2009-present)
NVI 2007-2009
Canalytics / Acquisio (now known as W.illi.am) 2007
Efundraising 2006
CARBON 60 DESIGN / Tchirts.com 2003-2005
Ebay Power Seller 2001-2002
EMAIL SPAM (2000: Hey, it was legal back then!)
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AGENDA
Why do you have a website? Website KPIs
Dashboards and their mis-use
REPORTS: The importance of drilldown
Advanced segmentation
Custom Variables
Conclusion
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Website KPIs
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Definine desired outcomes for your website
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• Inform/Create Brand or Public Awareness • User Interaction/Community Building
• Subscriptions/Free or Paid Memberships
• Generate Qualified Leads
• Online Sales
Possible Desired Outcomes
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What Tools do You Really Need To Track Your Desired Outcomes?
Vs.
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Have they been properly implemented?
Complex Implementations and Non-qualified Staff Inaccurate Tracking
=
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This is where the fun Begins!
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The Perfect Dashboard For Your Business!
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The Perfect Dashboard For Your Business!
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Web Reporting Vs. Web Analysis
Web Analysis: Delivers next steps for your business based on data. Web Reporting: Just numbers
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Web Reporting Vs. Web Analysis
Web Analysis: Delivers next steps for your business based on data. Web Reporting: Just numbers
Web Analysis: Requires expertise and Segmentation and insight Web Reporting: Requires a computer and a printer
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Compare KPIs between segments
• Visitor Type (logged in Vs Non-member, male vs female
• Referring Source (Type, Keyword, Campaign)
• Geographic locations
• Content Viewed (landing pages, English Vs French)
• Actions taken (Goal completions) • Metrics (Bounce rate, Pageviews)
• Products (If eCommerce)
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Stop printing reports! DRILLDOWN
Segmented by referrer
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Stop printing reports! DRILLDOWN
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Actionable Data!
Sales performance by refferer
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Segmenting language content with advanced segments
French content only
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Segmenting language content with advanced segments
English content only
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Segmenting language content with advanced segments
Choose your desired segments to compare against each other.
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Most reports and graphs will now show both segments
Not many sales in English as compared to French
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There are Obvious Performance Differences
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Most reports and graphs will now show both segments
Not many sales in English as compared to French *All stats have been modified to protect anonymity.
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Create Custom Variables at 3 levels
• Tag Visitor across multiple sessions
• Tag Content (Specific Pages)
• Tag Sessions (Login=True?)
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Ideas to Tag at Visitor Level
Once user is cookied they will never see this page again. Tagging user with a Custom Variable at the visitor level on first visit will track subsequent visit appropriately even though they have not chosen "Male" or Female".
Tag all signups of a subscription membership so that they are tagged every visit
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Another Idea to Tag at Visitor Level
Once user signs up they will never see "sign-up" page again. The visitor is already converted. Tagging user with a Custom Variable at the visitor level on first visit will track subsequent visits as "member" even though they have not logged in or repurchased a membership.
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Ideas to Tag at Session Level
Tagging "log-in" vs. "not-logged-in" Are users tagged as "members" at the visitor level bothering to log in on each session? Is this alarming?
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Ideas to Tag Content/Pages
Tag author article pages with author's name:
• Who are the most popular authors?
• Which authors drive traffic to the site?
• Which author pages attract more user participation?
• Etc.
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Optimizing Performance With Web Analysis
In traditional marketing, 50% of your investment goes to waste. How do we know which half was not qualified? Segment and view differences of your KPIs. Reduce investment in less performing campaigns, increase spending in high performance campaigns
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Use Demographic Info Whenever Possible
Some advertisers like Facebook allow you to create campaigns through demographics (Gender, Marital status, Education level, etc.):
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Use Demographic Info Whenever Possible
Create campaigns with different demographics. Brainstorm potential demographic of your targets and create separate campaigns for each. So for example if you sell school supplies and you are having a "Back to School Sale," on computers, possible targets could include:
• Married Women aged 45-60 (potential mothers of High school and college kids)
• Married Men aged 45-60 (potential fathers of High school and college kids)
• Males and/or Females currently in College
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Tracking Demographic Info with GA
Tag your referral links from Facebook with the demographic information using Google's URL Builder: http://www.google.com/support/analytics/bin/answer.py?answer=55578
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Compare Performance of campaigns
• Are married women with kids more likely to buy a computer than currently enrolled college students?
If so, can how can you target married women outside of Facebook and through other advertising sources?
• Compare dates: Are college kids more "last minute" with their purchases? How can you leverage that for the next "back to school" season?
• Is there a difference between the male and female students?
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Conclusion
• Stop Web Reporting. Do Web Analysis.
• Be creative: Segment. Don't be afraid to test and brainstorm new ways to drill down through the reports.
• Invest: If you're on the web, Web Analysis is a crucial part of your business. Not investing in the expertise and the tools can be costly.
• Have a plan to measure before launching a campaign
• Be Flexible and Move quickly: Your competitors have access to the same advanced tools. If you're not using them you'll be left behind.
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Its a competitive world out there.
It's time to...
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Q&A: Ask Away!