Erin Steinbruegge Market STL Fall 2010 Free Yourself From Analysis Paralysis
[email_address] @steinburglar linkedin.com/in/erinsteinbruegge facebook.com/erin.steinbruegge How You Can Reach Me Partner and Lead Marketing Strategist @theloudfew. SEO and PPC Consultant and Instructor at Buzzhound Learning Labs.
Why Website Analytics is Important Measure ROI Troubleshoot issues Gain business intelligence Testing Optimize performance
This is an EXCITING time for website analytics Many great  free  options available Programs are more robust and integrated than  before. Website analytics isn’t just for websites anymore…
Everything from your phone to your TV is becoming more measurable
The Analytics Geek is Evolving into a Hero
events referring websites visits exits campaigns bounce rate conversions traffic sources subscriptions keywords abandoned funnels landing pages PPC newsletter blog SEO banners affiliates mobile But How Do You Make Sense of All of This Data?
5 Causes of Analysis Paralysis Goals are not clearly defined You’re using “out of the box” reports You aren’t focusing on actionable metrics You aren’t testing or you are afraid to fail Analytics was installed improperly or you selected the wrong analytics program.
So How Do We Go from Analytics Zero to Hero? Goals for Today: Organize your analytics program Focus on actionable metrics Start testing and failing
Step 1: Get Organized
Define Website Goals EVERY website has goals, EVERY campaign has goals Set both short-term and long-term goals Be  specific  and write them down
Define Key Performance Indicators (KPI’s) KPI’s are unique to each company Interview business leaders and decision makers Create a list of all KPI’s
Create a Measurement Dashboard Track your progress towards goals Set defined checkpoints for measurement You can download a free analytics dashboard here:  http://www.theloudfew.com/blog/web-analytics-dashboard/
Validate Your Installation & Analytics Program Incorrect or incomplete installs are very common. Compare reports with internal data such as server logs, sales reports, etc. Have you selected the  right  analytics program?
Analytics Programs Are Not 1-Size-Fits-All
Configure Custom Reports Standard “out of the box” reports are not useful Custom reports give you a quick view of actionable metrics and important KPIs.
Google Analytics Custom Reports Example
Step 2: Learn to Focus on Actionable Metrics
3 Characteristics of Actionable Metrics Don’t require an opinion Highly relevant to your business goals Required action is instantly obvious and useful
Stop Focusing on Visits Hits, Visits and Sessions are all fairly useless metrics  Measure what  people  are doing on your website
Understand Conversions Rates Default conversion formula = conversions/ visits But should it be conversions/ unique visitors ?
Conversion Rates Example Many first visit conversions Short buying cycle Low commitment Little research required Small investment Takes several visits to convert Long buying cycle High commitment Much research required Large investment conversions / visits conversions / unique visitors
Use Event Tracking Measure user events such as watching videos or downloading whitepapers Gain insight into the type of content your target audience prefers
Event Tracking: Insight to Audience Behavior
Use Advanced Segments Quickly isolate subsets of traffic for deeper insight Slice data by organic vs paid traffic, visits worth a certain $ value, etc. Quickly answer questions from upper management
Creating Advanced Segments
Advanced Segments Example
Bounce Rate is Beautiful Bounce rate of top landing pages Bounce rate by keywords  Bounce rate by campaign = Massive Optimization Opportunity
Fix This Page!
Step 3: Test and Fail
Start A/B Testing Now! A/B testing is critical to improving conversion rates It’s a  must  that you test conversion pages and landing pages for paid campaigns.
Less than 40% of Marketers Currently A/B Test Hubspot: What’s Worth A/B Testing? Webinar 2010
What Elements Should You A/B Test? Buttons and “call to action” links Headlines Copy Offers Images Hubspot: What’s Worth A/B Testing? Webinar 2010
Examples of Some Tools That Help You A/B Test Google Website Optimizer SiteSpect Omniture  Test&Target Your email marketing program
Final Tip: Fail Faster The faster you fail, the faster you succeed Give each test adequate budget and traffic Understanding a fail is a  victory
Additional Learning and Recommended Reading Google Conversion University Web Analytics 2.0  by Avinash Kaushik Occum’s Razor  by Avinash Kaushik (blog) Google Analytics Youtube Channel
Thanks! [email_address] @steinburglar linkedin.com/in/erinsteinbruegge facebook.com/erin.steinbruegge

Analysis Paralysis

  • 1.
    Erin Steinbruegge MarketSTL Fall 2010 Free Yourself From Analysis Paralysis
  • 2.
    [email_address] @steinburglar linkedin.com/in/erinsteinbrueggefacebook.com/erin.steinbruegge How You Can Reach Me Partner and Lead Marketing Strategist @theloudfew. SEO and PPC Consultant and Instructor at Buzzhound Learning Labs.
  • 3.
    Why Website Analyticsis Important Measure ROI Troubleshoot issues Gain business intelligence Testing Optimize performance
  • 4.
    This is anEXCITING time for website analytics Many great free options available Programs are more robust and integrated than before. Website analytics isn’t just for websites anymore…
  • 5.
    Everything from yourphone to your TV is becoming more measurable
  • 6.
    The Analytics Geekis Evolving into a Hero
  • 7.
    events referring websitesvisits exits campaigns bounce rate conversions traffic sources subscriptions keywords abandoned funnels landing pages PPC newsletter blog SEO banners affiliates mobile But How Do You Make Sense of All of This Data?
  • 8.
    5 Causes ofAnalysis Paralysis Goals are not clearly defined You’re using “out of the box” reports You aren’t focusing on actionable metrics You aren’t testing or you are afraid to fail Analytics was installed improperly or you selected the wrong analytics program.
  • 9.
    So How DoWe Go from Analytics Zero to Hero? Goals for Today: Organize your analytics program Focus on actionable metrics Start testing and failing
  • 10.
    Step 1: GetOrganized
  • 11.
    Define Website GoalsEVERY website has goals, EVERY campaign has goals Set both short-term and long-term goals Be specific and write them down
  • 12.
    Define Key PerformanceIndicators (KPI’s) KPI’s are unique to each company Interview business leaders and decision makers Create a list of all KPI’s
  • 13.
    Create a MeasurementDashboard Track your progress towards goals Set defined checkpoints for measurement You can download a free analytics dashboard here: http://www.theloudfew.com/blog/web-analytics-dashboard/
  • 14.
    Validate Your Installation& Analytics Program Incorrect or incomplete installs are very common. Compare reports with internal data such as server logs, sales reports, etc. Have you selected the right analytics program?
  • 15.
    Analytics Programs AreNot 1-Size-Fits-All
  • 16.
    Configure Custom ReportsStandard “out of the box” reports are not useful Custom reports give you a quick view of actionable metrics and important KPIs.
  • 17.
    Google Analytics CustomReports Example
  • 18.
    Step 2: Learnto Focus on Actionable Metrics
  • 19.
    3 Characteristics ofActionable Metrics Don’t require an opinion Highly relevant to your business goals Required action is instantly obvious and useful
  • 20.
    Stop Focusing onVisits Hits, Visits and Sessions are all fairly useless metrics Measure what people are doing on your website
  • 21.
    Understand Conversions RatesDefault conversion formula = conversions/ visits But should it be conversions/ unique visitors ?
  • 22.
    Conversion Rates ExampleMany first visit conversions Short buying cycle Low commitment Little research required Small investment Takes several visits to convert Long buying cycle High commitment Much research required Large investment conversions / visits conversions / unique visitors
  • 23.
    Use Event TrackingMeasure user events such as watching videos or downloading whitepapers Gain insight into the type of content your target audience prefers
  • 24.
    Event Tracking: Insightto Audience Behavior
  • 25.
    Use Advanced SegmentsQuickly isolate subsets of traffic for deeper insight Slice data by organic vs paid traffic, visits worth a certain $ value, etc. Quickly answer questions from upper management
  • 26.
  • 27.
  • 28.
    Bounce Rate isBeautiful Bounce rate of top landing pages Bounce rate by keywords Bounce rate by campaign = Massive Optimization Opportunity
  • 29.
  • 30.
    Step 3: Testand Fail
  • 31.
    Start A/B TestingNow! A/B testing is critical to improving conversion rates It’s a must that you test conversion pages and landing pages for paid campaigns.
  • 32.
    Less than 40%of Marketers Currently A/B Test Hubspot: What’s Worth A/B Testing? Webinar 2010
  • 33.
    What Elements ShouldYou A/B Test? Buttons and “call to action” links Headlines Copy Offers Images Hubspot: What’s Worth A/B Testing? Webinar 2010
  • 34.
    Examples of SomeTools That Help You A/B Test Google Website Optimizer SiteSpect Omniture Test&Target Your email marketing program
  • 35.
    Final Tip: FailFaster The faster you fail, the faster you succeed Give each test adequate budget and traffic Understanding a fail is a victory
  • 36.
    Additional Learning andRecommended Reading Google Conversion University Web Analytics 2.0 by Avinash Kaushik Occum’s Razor by Avinash Kaushik (blog) Google Analytics Youtube Channel
  • 37.
    Thanks! [email_address] @steinburglarlinkedin.com/in/erinsteinbruegge facebook.com/erin.steinbruegge

Editor's Notes

  • #22 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #23 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #24 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #25 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #26 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #27 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #28 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #29 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #30 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #31 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #32 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #33 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #34 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #35 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #36 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts
  • #37 Note that many blogs should look at bounce rate of NEW visitors, since it’s expected that recurring visitors will view the latest post and not a lot of older posts