1.
pow ering your presence on the internet AIM: Measuring your online effort

2.
<ul><li>Introduction to Web Analytics </li></ul><ul><li>Implementation: Tools </li></ul><ul><li>Ongoing Analysis Examples </li></ul><ul><ul><li>Traffic </li></ul></ul><ul><ul><li>Site Efficiency </li></ul></ul><ul><ul><li>Audience & Reporting </li></ul></ul><ul><li>Additional Measurement Notes </li></ul><ul><li>Summary </li></ul>What We’ll Cover

3.
Introduction to Web Analytics

4.
Course Description A bit about me… <ul><li>President and Founder of Semphonic – one of the leading web analytics consultancies in the United States. </li></ul><ul><li>More than 10 years doing web analytics and helping companies measure online properties. </li></ul><ul><li>More than 20 years in statistical analysis, BI, and measurement. </li></ul><ul><li>Semphonic clients are primarily large enterprises. Focus is on industries that don’t have ecommerce conversion. </li></ul><ul><li>Clients: American Express, the BBC, Charles Schwab, Genentech, Intuit, Kohler, NCI, Nokia, Turner Broadcasting and many other top U.S. and global companies. </li></ul><ul><li>Frequent speaker at eMetrics, SMX, X Change, etc. and regular columnist on web analytics. Blog at http://semphonic.blogs.com/semangel/ </li></ul>

5.
Course Description What is Web Analytics? <ul><li>What is Web Analytics? </li></ul><ul><ul><li>Web Analytics is the study of how visitors on your web site actually behave. </li></ul></ul><ul><li>What is it for? </li></ul><ul><ul><li>Figuring out how to change your web site to make it better, </li></ul></ul><ul><ul><li>Understanding which marketing methods are working and which aren’t, </li></ul></ul><ul><ul><li>Finding better ways to use your web site and the online world in general, </li></ul></ul><ul><ul><li>Giving you insight into your readers, what they care about and what gets and keeps them interested. </li></ul></ul>

6.
Course Description How Does it Work? <ul><li>Web Analytics tools track each and every page visited on your site. </li></ul><ul><ul><li>These tools let you know everything that was done and the order in which it was done on the web, </li></ul></ul><ul><ul><li>BUT – web analytic tools typically know ABSOLUTELY nothing about WHO did these actions. </li></ul></ul><ul><li>Therefore, Web Analytics is almost always focused on the behavior of visitors – not facts (like gender or age) about them. </li></ul><ul><li>Behavioral Analysis has three main components </li></ul><ul><ul><li>Where visitors came from and how they arrived </li></ul></ul><ul><ul><li>What content they viewed </li></ul></ul><ul><ul><li>What they accomplished </li></ul></ul>

7.
Sourcing Content Outcomes <ul><li>Your Campaigns </li></ul><ul><li>Search Engines </li></ul><ul><ul><li>Paid </li></ul></ul><ul><ul><li>Organic </li></ul></ul><ul><li>Directories </li></ul><ul><li>Partners </li></ul><ul><li>Linked Sites </li></ul><ul><li>Direct </li></ul><ul><li>Pages Viewed </li></ul><ul><li>Site Areas </li></ul><ul><li>Viewed </li></ul><ul><li>Path </li></ul><ul><li>Engagement </li></ul><ul><ul><li>Visits </li></ul></ul><ul><ul><li>Destinations </li></ul></ul><ul><ul><li>Interactions </li></ul></ul><ul><ul><li>Commerce </li></ul></ul><ul><ul><li>Purchases </li></ul></ul><ul><ul><li>Baskets </li></ul></ul>How did they get here? What did they do? How did it work? The Behavioral Trinity

8.
Web Analytics <ul><li>Web analytics is about relating Source and Content to Outcomes. </li></ul><ul><li>Key Concept </li></ul>

9.
The Road to Excellence <ul><li>A process of measurement and incremental improvement provides the only reasonable and consistent path to excellence. </li></ul>

10.
<ul><li>Effective measurement requires a complete program and a continuing effort – not a single initiative or tool purchase - to be highly impactful. </li></ul>Think About a Program

11.
Implementation Vendor Profiles

12.
Course Description Vendor Profile: Omniture <ul><li>Type of Offering </li></ul><ul><ul><li>Tag-Based </li></ul></ul><ul><ul><li>Analytics very robust </li></ul></ul><ul><ul><li>Rich 3 rd Party integration </li></ul></ul><ul><ul><li>Current Market Leader </li></ul></ul><ul><ul><li>Complex implementation </li></ul></ul><ul><li>Appropriate For: </li></ul><ul><ul><li>Larger companies looking for the safest-bet in analytics. </li></ul></ul><ul><ul><li>Combines solid reporting and analytics – strength in almost every area. </li></ul></ul><ul><ul><li>Analytically inclined companies. </li></ul></ul><ul><ul><li>Expensive & support is not considered good. </li></ul></ul>www.omniture.com

13.
Course Description Vendor Profile: Google Analytics <ul><li>Type of Offering: </li></ul><ul><ul><li>Tag-Based </li></ul></ul><ul><ul><li>Modest Reporting and Limited Analytics </li></ul></ul><ul><ul><li>Low-range offering with easy implementation and very attractive GUI. </li></ul></ul><ul><li>Appropriate For: </li></ul><ul><ul><li>Modest web sites not requiring lots of vendor support. </li></ul></ul><ul><ul><li>Sites that are limited in their analytic needs or heavily focused on PPC. </li></ul></ul><ul><ul><li>Companies new to web measurement. </li></ul></ul>www.google.com/analytics/

14.
Course Description Vendor Profile: Unica <ul><li>Type of Offering: </li></ul><ul><ul><li>Tag-Based/Log-based/Mixed </li></ul></ul><ul><ul><li>Good reporting and Analytic Capabilities </li></ul></ul><ul><ul><li>Weak 3 rd Party integration </li></ul></ul><ul><ul><li>New from this company (acquired product) </li></ul></ul><ul><ul><li>Very nice tagging scheme – easy implementation </li></ul></ul><ul><ul><li>Weak distributed reporting </li></ul></ul><ul><li>Appropriate For: </li></ul><ul><ul><li>Organizations wanting to keep data in-house </li></ul></ul><ul><ul><li>Companies wanting open-access to DB data </li></ul></ul><ul><ul><li>Companies blending analytics and marketing usage </li></ul></ul><ul><ul><li>Sites without enormous volumes (eBay,AOL,Schwab) </li></ul></ul>netinsight.unica.com/

15.
Course Description Vendor Profile: Webtrends <ul><li>Type of Offering: </li></ul><ul><ul><li>Tag-Based/Log-based/Mixed </li></ul></ul><ul><ul><li>Good reporting and Analytic Capabilities </li></ul></ul><ul><ul><li>Open Warehouse Structure </li></ul></ul><ul><ul><li>Perception is negative – company is struggling in marketplace. </li></ul></ul><ul><ul><li>Version issues. </li></ul></ul><ul><li>Appropriate For: </li></ul><ul><ul><li>Organizations wanting to keep data in-house. </li></ul></ul><ul><ul><li>Sites not requiring much Professional Services from the vendor. </li></ul></ul>www.webtrends.com

16.
Web Analytics Tools <ul><li>There is no one “BEST” tool. Pick a tool that fits your real needs and budget. </li></ul><ul><li>Key Concept </li></ul>

17.
Sample Analytics Driving Traffic

18.
Course Description SEO: Finding Opportunities <ul><li>Tracking source by engine by site area using Omniture revealed areas that were significantly under-represented – both across all engines and with particular engines.. . </li></ul><ul><li>Measurement can help you find SEO opportunities and discipline an SEO program. </li></ul>Where should I focus SEO efforts? Pages in Group Search Engine Source Google % Yahoo % MSN % Database Pages 6,210 81,534 78.0% 12.2% 0.5% Index Page 1 8,037 40.9% 22.5% 20.5% Overall Site 100,000+ 7,670,974 41.1% 32.8% 7.9%

19.
Course Description PPC: Organic Cannibalization <ul><li>We measured the difference in total SEM traffic between the PPC-on and PPC-off periods. </li></ul><ul><li>Study revealed significant (as much as 50%) cannibalization of organic traffic – correlated to both organic position and “brand” term. </li></ul><ul><li>Client wanted to measure the impact of a long-standing PPC program on Organic Traffic. The PPC program went dark for a two-week period. </li></ul>Should I buy these words? Light Period (PPC On) Dark Period Search Engines Total SEM Visits Paid Visits Organic Visits Organic % Cannibalization Google 13,999 6,662 7,337 9,424 31% Yahoo 6,926 3,052 3,874 5,191 43% MSN 5,935 2,617 3,318 4,628 51% AOL Search 1,199 770 429 582 20%

20.
Course Description PPC: Optimizing to the Right Measures <ul><li>This client was optimizing by click-through – and shifting more and more dollars to key words that drove very poor customers. Almost 90% of visitors from Type 1 Words on this site “bounced” – meaning they left the site immediately. </li></ul>What keywords actually produce? <ul><li>Paying for many clicks (and SEO optimizations) is a total waste. Measuring the quality of visitors is the only way to understand what really works. </li></ul>

21.
Course Description PPC: Showing the Right Creative <ul><li>Optimizing Ad Creative by click-through is like a flipping a coin. You’ll be wrong half-the-time. </li></ul><ul><li>Ad Text is as important in qualifying visitors as search term. Measurement can help you find the truly optimal combinations. </li></ul>Which Ad should I really use? Google Ad Optimization versus Proxy Conversion Optimization AdGroup Ad CTR Conversion Rate % of time shown by Google A 3 0.49% 2.80% 35.46% 4 0.51% 1.72% 55.49% B 2 0.31% 16.67% 1.01% 4 0.43% 0.42% 57.17% C 3 0.05% 1.39% 46.04% 4 0.05% 3.39% 46.31% D 3 0.30% 0.00% 32.41% 4 0.29% 5.56% 33.37% F 3 0.37% 2.67% 14.03% 4 0.44% 1.46% 49.52% 5 0.47% 2.52% 17.82%

22.
Sample Analytics Improving Site Function

23.
Functional Efficiency Do my Router pages get visitors where they need to go <ul><li>Each type of page on your site can be measured with respect to it’s function. Comparing functional performance helps you target site improvements. </li></ul>

24.
Functional Efficiency: Analysis <ul><li>Analysis helps guide what to put on the page, where to put it and how to understand its actual usage. </li></ul><ul><li>This page had significant real-estate devoted to useless purposes. </li></ul>Can I eliminate a page or improve page real-estate usage?

25.
Course Description Lead Optimization <ul><li>This analysis identified places on the site where visitors clicked on lead-gen opportunities even without a strong driver. Adding more direct calls-to-action greatly enhances this behavior. </li></ul>When and where should I ask for a lead?

26.
Course Description Internal Search Optimization <ul><li>On-Site (internal) Search is a critical component of actual site performance. But it’s analysis is complex because it routes to so many places. </li></ul>What do visitors search on and where do they go from search?

27.
Course Description Internal Search Optimization <ul><li>Part of this analysis identified site navigation options that were under-represented. Visitors had to search for some key options. </li></ul>What is missing from my current navigation?

28.
Sample Analytics Reporting and Audience

29.
Course Description Voice of Customer (VOC) <ul><li>Online Survey data is illuminating in and of itself – and especially useful when integrated with behavioral data. </li></ul><ul><li>Here, it became clear that the more immediate the need the less effective the search tool. </li></ul>What do customers really think about the site/features?

30.
Course Description Intelligent Reporting <ul><li>Part of online measurement is just describing what’s happening to your management. </li></ul><ul><li>Reporting should answer basic questions not raise them. Here, key changes are automatically identified and highlighted. </li></ul>How do I tell management what happened?

31.
Course Description Knowing Your Audience <ul><li>Visitor Segmentation can use web site and online survey data to build powerful, interesting profiles that can help you market more effectively. </li></ul><ul><li>This is especially useful in driving direct response messaging. </li></ul>Who really uses my web site?

32.
Some Additional Measurement Notes

33.
<ul><li>Campaign Measurement </li></ul><ul><ul><li>Make sure you code each online campaign distinctly (especially PPC) </li></ul></ul><ul><ul><li>Make sure you track campaigns at the appropriate level (AdGroup/Keyword not Engine) </li></ul></ul><ul><ul><li>Track SEO as a campaign – concentrate on quantity and quality of traffic not position </li></ul></ul><ul><li>Lead Generation </li></ul><ul><ul><li>Use site-specific phone numbers. Use multiple phone numbers for each possible contact point </li></ul></ul><ul><ul><li>Always measure lead quality – even if it’s anecdotal </li></ul></ul><ul><ul><li>Make sure you carry through a lead-code in all your online measurement. </li></ul></ul>Measurement Notes

34.
Summary

35.
<ul><li>How important is web analytics to you? </li></ul><ul><ul><li>It’s a function of how important the web site is. </li></ul></ul><ul><ul><li>You can’t have a great website without analytics but you can have a satisfactory one. </li></ul></ul><ul><li>How to get started </li></ul><ul><ul><li>Think about your organization, culture and knowledge </li></ul></ul><ul><ul><li>Choose a tool / resource direction that is realistic </li></ul></ul><ul><ul><li>Take the time to build a roadmap of what you want to accomplish </li></ul></ul><ul><li>What you should worry about </li></ul><ul><ul><li>Getting People is hard </li></ul></ul><ul><ul><li>Web Analytics won’t happen without both Tool & Resources </li></ul></ul><ul><ul><li>Have a plan – don’t just get a tool. Figure out what you want to analyze and why. </li></ul></ul>Summary

36.
<ul><li>Bringing over twenty years of experience in decision support, CRM, and software development, Gary co-founded Semphonic and is President and Chief Technology Officer. He's responsible for leading Semphonic's development of Web analytics services and analysis. In addition, he helps companies like Morgan Stanley, WebMD, O’Reilly Publishing, Care2, Turner Broadcasting, Readers Digest, National Geographic, Intuit, Nokia, American Express and Charles Schwab maximize their web channel marketing through intelligent use of Enterprise Web Analytics. </li></ul><ul><li>Gary is a regular columnist on ADOTAS and has published articles on Web and SEM Analytics in DM News, American Demographics, CRM Guru, CRM Buyer, IMediaConnection, Business Geographics, WebProNews, Targeted Marketing, BtoB Guide and Business Insurance. He graduated, with honors, from Duke University and lives in San Francisco with his wife and two young girls. </li></ul><ul><li>415 493-2582 </li></ul><ul><li>[email_address] </li></ul><ul><li>Blog: http://semphonic.blogs.com/semangel/ </li></ul><ul><li>http://www.semphonic.com </li></ul>About Gary Angel