Site Search Analytics eMetrics Madrid 2009
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Site Search Analytics eMetrics Madrid 2009

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My eMetrics Madrid Spain 2009 Keynote presentation on Search Analytics: Conversations With Your Customers. (Presentation is in English)

My eMetrics Madrid Spain 2009 Keynote presentation on Search Analytics: Conversations With Your Customers. (Presentation is in English)

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Site Search Analytics eMetrics Madrid 2009 Site Search Analytics eMetrics Madrid 2009 Presentation Transcript

  • Search Analytics For Your Site: Una Conversación Con Tus Consumidores eMetrics Madrid, Espana 2009 Keynote: Marko Hurst
  • Me
    • Book: Search Analytics - Conversations With Your Customers
      • Anticipated release: December 2009
      • Book website: RosenfeldMedia . com/books/SearchAnalytics
      • Co-Author: Lou Rosenfeld
    • Consultant, Author, & Speaker
      • User Experience
      • Web Analytics
      • Behavioral Targeting: (Machine Learning & Neuroscience)
    • Blog: MarkoHurst .com “Insightful Analytics”
    • Twitter: MarkoHurst
    • Contact: [email_address]
  • Before We Begin Audience Survey & Search Info
  • Audience Survey
    • Question 1
    • Who currently has ‘search’ on your company website or on your intranet/extranet?
  • Audience Survey
    • Question 2
    • How would you rate your experience with your onsite search engine?
      • Criteria of success for a well performing search engine means that it delivers relevant results you expected on the first page without refining
      • Defies statistical probability
      • You are pleasantly delighted and use it often
      • Less dangerous, but about the same odds as Russian Roulette
      • There is a greater chance of finding a new continent than content
      • You’d rather contract an incurable disease than use it again
  • Finding Information Online
    • Three (3) ways to find information
      • Browse (navigation, links)
      • Ask (help - automated, live person)
      • Search (query input field/box)
    • SEARCH due to the popularity of search engines (Google, Yahoo!) is the #1 most used feature to find information online
      • BUT, once a visitor gets to your site, ‘browse’ is the #1 method ( with some exceptions)
        • About 1/3 of all visitors use search, but sites range from 5 - 70% *
      • Why does the information seeking behavior change onsite?
    * Observations from client engagements
  • Over Promising and Under Delivering On Search Results
    • Onsite search ‘mildly’ sucks. Why?
    • I.T. only project
    • Implemented without consideration of the user
    • No optimization program in place
    • Lack of experience
    • Search is believed to be a ‘turnkey’ solution that is simply ‘plugged in’
      • <evil grin> admit it, you thought it was that easy <evil grin/>
      • Getting search right is hard work and ongoing
      • Be weary of anyone who says anything to the contrary, they are probably trying to sell you something
  • Unfortunately For You As A…
    • VISITOR that means you are….
      • left unsatisfied
      • annoyed
      • unfulfilled
      • sometimes feeling stupid
    • BUSINESS that means you…
      • didn’t think about your entire visitor/customer experience
      • lost a potential customer, perhaps forever
      • have reduced your customer satisfaction rate
      • your site isn’t a usable as you ‘think it is’
      • you are not listening to your what your customers are telling you
  • A Shining Light of Hope
    • Book Objective
    • Provide simple and effective Site Search analysis techniques for user experience & web analytic professionals of all levels to better understand their visitors in order to deliver a superior experience
  • Benefits & Expectations
    • SSA * produces actionable insights
      • Techniques used are about analysis, NOT reporting (and there was much rejoicing!)
        • For some, this like reaching Nirvana
        • For others, this is like opening Pandora’s Box
    • To achieve the benefits of SSA expect to:
      • Change site design/layout
      • Change keywords, copy, metadata, labels, navigation, taxonomy, etc.
      • Add &/or remove pages
      • Change your SEO & SEM
      • And much more!
    * SSA = Site Search Analytics
  • Agenda What Is Site Search Analytics? How We Find Information Anatomy of Search SSA Techniques Q&A
  • What Is Site Search Analytics? And What It’s Not
  • SSA Is Not About Improving…
  • SSA Is About Improving… Public facing websites, intranets/extranets, mobile, etc.
  • A Few Onsite Search Engines You May Encounter
  • How We Find Information Information Foraging
  • Information Trail
    • Humans forge for information similar to how animals forage for food
      • Move outwards in a direction we think ( predict ) will provide the expected results
      • Continue on a path as long as we ‘smell’ signs that we are still on the correct path ( information scent )
      • When we no longer smell those signs we retrace our path or find a new path entirely where the ‘smell’ is stronger, which we remember for next time ( recursive learning ) to better predict where/where not to go
    Flickr Photogrpher : a walk on the wild side
  • Information Scent
    • Information scent is how people evaluate options they encounter looking for information on a site
      • S trong information scents are good at guiding users to the content they want/need
      • W eak information scents cause visitors to spend more time evaluating options and increase the chance that they will select the wrong option and be forced to backtrack or leave entirely
    Flickr Photogrpher : RaffertyEvans
  • How Humans Find Information Online
    • Three ways of finding information
      • Browse
      • Ask
      • Search
  • Browse (Navigate)
  • Ask
  • Search
  • Where To Begin Getting Started
  • The Basics
    • Analyzing data
      • Zipf Distribution
      • Excel (spreadsheet) skills
        • Low / no budget software
        • No need for code or higher mathematics
    • Where to get data
      • Log files
      • Search / Web Analytics
    • A mindset / desire to improve your site, increase ROI, and deliver a better user experience
      • Outside the scope of book :)
    • NOTE: everything I show you is 100% technology agnostic
  • Zipf Distribution (The Long Tail)
    • 3 characteristics: head, torso, & tail
    Thick head Middle Torso Long Tail Flickr Photogrpher : hjallig
  • Data: Search Logs (Google Search Appliance)
    • Critical elements in red
    • IP address, time/date stamp, query, and # of results
    XXX.XXX.XX.130 - - [ 10/Jul/2006:10:24:38 -0800 ] &quot;GET /search? access=p&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL %3Ad1&ud=1&site=AllSites&ie=UTF-8&client=www&oe=UTF-8&proxystyleshe et=www&q= regional+transportation+governance +commission&ip=XXX.XXX.X.130 HTTP/1.1&quot; 200 9718 62 0.17 XXX.XXX.X.104 - - [ 10/Jul/2006:10:25:46 -0800 ] &quot;GET /search? access=p&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL %3Ad1&ud=1&site=AllSites&ie=UTF-8&client=www&oe=UTF-8&proxystyleshe et=www&q= lincense+plate &ip=XXX.XXX.X.104 HTTP/1.1&quot; 200 971 0 0.02 XXX.XXX.X.104 - - [ 10/Jul/2006:10:25:48 -0800 ] &quot;GET /search? access=p&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL %3Ad1&ie=UTF-8&client=www&q= license+plate &ud=1&site=AllSites&spell=1&oe=UTF-8&proxystylesheet=www&ip=XXX.XXX. X.104 HTTP/1.1&quot; 200 8283 146 0.16
  • Data: Search Engine / Analytics
    • Data collection & options vary by vendor
    • Data collection is typically a separate step if you want to combine it with web analytics
      • Google & Omniture are the only major analytic vendors to have built-in search data capabilities
      • (NOTE: Omniture’s Search is an add-on product)
  • Improving Your Site Search SSA Techniques & Search Behavior
  • The Anatomy of Search: Search Components
    • Six (6) components comprise a single experience
    Flickr Image : Peter Morville Based on original image from “In Defense of Search” by Peter Morville 1 2 3 4 5 6
  • Component 1: Visitor (User)
    • When / Where Do Visitors Search?
    • Most often when a visitor becomes frustrated with browsing (i.e. your design, navigation, information architecture, whatever)
    • eCommerce and Government websites search is often the first choice
      • This behavior also occurs when a visitor ‘knows’ what they are looking for
    • Some visitors use search as their first / main method
    For more on this, see Peter Morville’s “ Search Patterns ” IA Summit 2008
  • Component 1: Visitor (User) Search Analysis
    • When /where did your visitors initiate search from?
  • Component 2: Query (Keywords)
    • When a visitor users onsite search they are speaking to you their Natural Language
      • They are confessing their needs & desires to you hoping you can help them
    • This is your chance to have “ Una Conversación Con Tus Consumidores ”
      • REMINDER: Conversation = Good . Monolog = BAD !
  • Component 2: Keyword Analysis
    • What are your visitors looking for?
  • Component 2: Keyword Analysis
    • Trends
  • Component 3: Search Interface
    • Minimum: search query box & search button
    • Sometimes a filter will also be used
  • Component 3: Search Interface Analysis
    • How many characters should your query box display?
  • Component 4: Search Engine
    • While the Search Engine is an essential component…
      • Options and details vary by vendor
        • Common features: Ranking, best bets, stemming, facets, weighting, most frequent, etc.
      • Opening the ‘black box’ is beyond scope of book -- and I promised you didn’t need to code & be a mathematician
  • Component 5: Content
    • Search is about getting visitors to CONTENT
    • What type of content can you improve? (Hint: all of it)
        • Metadata
        • Navigation
        • Labeling
        • Ontology
        • Taxonomy
    • SEO / SEM people LISTEN UP
      • SEO is NO LONGER about being #1. It’s about getting visitors to your content!
      • This is great place for UX & SEO to work together NOT against each other
        • Perceived differences should be fixed
        • Usability testing, copywriting, & SEO are about content bring them together
  • Component 5: Content Analysis
    • Power of CONVERSATION: Are you listening or ignoring your visitors?
    • What content / products your visitors are looking for?
      • Do you not have it? Or can’t they find it? Maybe you should add / remove products?
      • Your visitors may be speaking a language you don’t understand
        • Worse you may be trying to speak to them in a language they don’t understand
          • Labels, navigation, taxonomy, metadata, SEO, SEM
    • Surveys: tie attitudinal & behavioral data together
    • Look for relationships between content
      • Informs you ontology & metadata, as well as SEO / SEM
    • You can look at the data, but this is a GREAT place to explore and play with your data
    http://4q.iperceptions.com
  • Component 6: Results (SERP)
    • SERP (Search Engine Result Page)
    • The (inferred) quality of your results can be determined by:
      • Refinement
      • Null results
      • Bounce Rate
      • Where did they go?
    • There are lots of great reports out there, here are a few I find critical for successful analysis…
    Component 6: Results (SERP) Analysis
  • Single Greatest Piece of Advice I Can Give Today…
    • Reports & data are fantastic and essential for analysis. But if you REALLY REALLY want to find out how well or poor your search engine is working all you have to do is… “walk a mile in your visitors shoes”.
    • MEANING: Take your visitors’ keywords and manually input them YOURSELF and experience what they did
  • Internal Site Search KPIs
    • Top searches
    • Zero / null results
    • Search conversion
    • Search usage
    • Total Unique Searches
    • Results Pageviews / Search
    • # of Visits with Search
    • Search Exits (Bounce Rate)
    • Search Refinements
    • Time After Search
    • Search Depth
  • Summary Remember this…
  • Summary
    • Search is not a ‘turnkey’ solution, it takes ongoing effort to get it write
    • Improving search improves customer satisfaction, site usability, SEO, SEM, ROI, and & overall user experience
    • Combine & use both qualitative & quantitative data for your analysis
    • 6 components to search
      • Visitor
      • Keywords
      • Search interface
      • Search engine
      • Content
      • SERP (results)
    • Site Search book will be out in December
    • Muchas Gracias!
    Book: RosenfeldMedia . com/books/SearchAnalytics Blog: MarkoHurst .com Contact: [email_address] .com Twitter: MarkoHurst