Information & Intent: Optimizing Content and the User Search Experience

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    Information & Intent: Optimizing Content and the User Search Experience - Presentation Transcript

    1. Information & Intent Optimizing Content and the User Search Experience
    2. "What information consumes is rather obvious: it consumes the attention of its recipients. A wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it." (Computers, Communications and the Public Interest, pages 40-41, Martin Greenberger, ed., The Johns Hopkins Press, 1971.)
    3. “ What information consumes is rather obvious: it consumes the attention of its recipients. A wealth of information creates a poverty of attention .” Less Attention…
    4. “… a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” … Demands More Relevance
    5. How do we get attention? Intelligently changing content based on intent
    6. How do we get attention? Intelligently changing content based on intent How do we determine relevance? Testing
    7. How do we get attention? Intelligently changing content based on intent How do we determine relevance? Testing How do we deliver relevance? Targeting
      • Optimization of Content
      • Discovery…they have to find you, or you them
      • Relevance…they have to connect with you
      • Engagement…you have to connect with them
    8. Discovery
    9. Discovery What I don’t know Goal Intent Recovery What I know or knew Navigational “ Ford Motor Co” List “ US Presidents” Locate “ Hilton Hotel Chicago” Obtain “ U2 tickets” Entertain “ web cams” Download “ U2 mp3s” Interact “ loan calculator” Closed “ NFL Schedule” Opened “ How does hair fall out” Directed About a particular topic Undirected About a general topic Directed About a particular topic Closed “ 2004 electoral vote” Informational I want to learn __ Locate “ NJ waste dumps” List “ Top Ad Agencies” Advice “ lose weight fast” Resource Something other than info on a web page Opened “ refrigerators” Searcher Goals
    10. “ Vladimir Putin” Recovery or Discovery
    11. “ Vladimir Putin” Recovery (newstracker)
    12. “ Vladimir Putin” Discovery (Social Wiki)
    13. “ Vladimir Putin” Paid Link - Demanding Attention!
    14. “ Vladimir Putin” Organic: Links, Authority & Age
    15. Attention Factors: Links, Authority & Age Links pointing to full URL: 1,598 Links pointing to domain: 2,162,742 Age of Domain: 4773 days old Links from domains with .edu TLDs: 1,690 Links from domains with .gov TLDs: 55 Links found in Wikipedia: 388 Page Rank: 8
    16. Google PageRank - Links of Attention “ PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page's value . In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at more than the sheer volume of votes, or links a page receives; it also analyzes the page that casts the vote. Votes cast by pages that are themselves "important" weigh more heavily and help to make other pages "important.”
    17.  
    18. Sphere of Information Distribution & Consumption
      • Information Distribution & Consumption Tools
      • search - Google
      • syndication - RSS, API
      • tracking - news.yahoo.com, news.google.com
      • web 2.0 tracking - NewsVine, Topix, etc.
      • memediggers - Reddit, Digg
      • memetrackers - Tailrank, Techmeme
      • Meme: A unit of cultural information, such as a practice or idea, that is transmitted by repeated action from one mind to one another*
              • * http://en.wiktionary.org/wiki/meme
    19. The Power of Social Media Links for SEO Links to article 14 days after getting on first page* Digg.com ~ 2,500 Del.icio.us ~ 800 Reddit.com ~ 500 Netscape.com ~ 400 *SEOmoz.org Social Media’s Snowball Effect
    20. Making Link Love Who’s tagging a photo, a news story or a blog post?* 29% of online American men 27% of online American women 32% of online Americans 18-29 years old 31% of online Americans 30-49 years old 23% of online Americans 50-64 years old 31% have a college degree 28% have some college 24% have a high school degree 26% are white, non-Hispanic 36% are black, non-Hispanic 33% are English-speaking Hispanic *PEW Online Activities and Pursuits 1/31/07
    21. Is use fueling adoption or adoption fueling use?
    22. Personalized Search Leverages Your Sphere of Information Consumption
    23. Relevance
      • Relevance starts with understanding your audience
      • Relevance is determined by their goal (not yours).
      • Every click has a goal and an expectation.
      • Every page is a landing page! -- “ Content Merchandising”
        • Anticipate and message to goals
        • Meet and exceed expectations to engage
      • Users have “tunnel vision” engaging
      • What is tunnel vision?
      • Users don’t think of features, messaging or sections the way you do
      • Users engage in what they are interested, little else.
      • If it’s not in context to the users focus it’s likely invisible
      • Users scan for relevance, they don’t read or pay attention to detail
    24. Treat Every Page Like a Landing Page
    25. Relevance & Engagement CBS does great job ABC leaves lots on the table
    26. Content Merchandising - Learn from Retailers!
      • Give users control
      • Refine content based on preference
      • Deliver obvious relevance
      • Users understand “brands”
      • Easy self segmentation
      • No user control of delivery.
      • No way to refine content based on preference.
      • No obvious relevance. Why are the “Talk to the Newsroom” relevant? TV, Film, Internet are relevant.
      • Users understand “brands.” Where is Google, Viacom, Disney?
      • No easy self-segmentation Publishing, Advertising, Internet
      Content Merchandising - “Show Me the Relevance!”
    27. Understanding the way your users think about content NYT.com Users
    28. 31 Navigation Messages Top 50 Internal Search Queries (Sept 2006) Speak User’s Language to Deliver Relevance
    29. 31 Navigation Messages Top 50 Internal Search Queries September 2006 February 2007 Still Searching for the Same Content…
    30. Relevance Leads to Engagement
      • Engagement - Content Merchandising
      • Links
      • Recovery
      • Discovery
      • Reinforcement Intent
    31. Engagement: Group Behavior Optimize Links More Relevant Content 150% More Clicks!
    32. Engagement: Optimize Discovery Goals
    33. Engagement Optimize Recovery Goals
      • Getting more relevant over time
      • Tags
      • Saved
      • Viewed
      • Searched
    34. Engagement Reinforce Goals
    35. Reinforcement - Testing
    36. KW/Source Reinforcement - Test Results 71.38% 48.35% 1.99 43,973 SRP - Reinforce -- -- 1.27 37,987 SRP - Control Lift RPV Lift CR Visitors Recipe

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