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Echoeing Click Stream as an Algorithm Validator

Online marketing information can change quickly This article is 7 years and 357 days old, and the facts and opinions contained in it may be out of date.

Fun commentary, but technology sometimes sucks…Graywolf and I talked with Greg about click stream analysis and its’ potential impact on search engine results positions. Most people that talk about search engine rankings sometimes forget to realize that there are 100′s if not 1000′s variables to tweak in the search algorithms. Disclaimer: generally when I ramble on the radio, it is nearly all pure speculation.

Grab the podcast download of the show at Webmasterradio.fm

There are at minimum a good 100 + prominent variables or more for influence and rankings.

Qualifying for search click stream validation:
I think there may be the potential need to pass certain variable threshholds in order to validate the findings that a site should be in the top 10,20,50, etc.
Variables I would validate with toolbar data:

Top 8 Ideas for tracking Clickstream to Validate Quality Indicators
What I would do if I search relevancy was my goal:

  • -track clickthroughs on serps
  • -link clickthrough

  • -bookmarks
  • -history

  • -user data
  • -freshness

  • -community data
  • -social trend data

    Graywolf, GoodROI, and I talked on the implications of click data in the mp3 download here for GoodKarma.
    From threadwatch – clickstreams are dirty

    Google patent

    Rand on the historical patent
    Notes:
    Clickstream data is used to validate quality indicators
    Example: influx of links from 10k sites clickstream data must validate that x% of the links are clicked on by users

    Top most likely uses of toolbar data

      Validation that links are for users (monitoring clickthrough)

      Validation of site size to detect cloaking page filesize etc.

      Understanding different types of sites different verticals have different behavior

      Users will spend more time on a reviews site and visit periodically vs. less time on a directory type site

      Number of times results are clicked

    history data relevant to:

      The “number of times that a document is selected from a set of search results

      The “amount of time one or more users spend accessing the document”

      The relative “amount of time” compared to an average that users spend on a particular site/page

    Statdubl says…stat I missed in the radio show.
    MSN messenger is the MS community data at 26 – 28 min. range.

    Dumbest thing out of my mouth: “it’s always gettin’ tougher and tougher…”.

    Sources Cited:
    Google historical data patent
    Roger on community loyalty

    What I learned…
    MG is much smarter than I am.

    Thanks for a great discussion guys.

    More information about Todd Malicoat aka stuntdubl.

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    • http://www.wolf-howl.com graywolf

      nah I’m just much older, yep that was fun.

    • Phantombookman

      A great show, very interesting, as are your posts.

      Many thanks

    • http://www.a2boffice.co.uk Barry Fish

      If they use click data then how would they separate that from AdWords or Yahoo! clicks?

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