Analysis of USER BEHAVIOUR                www.about.me/eashwar
Some of thefamous tools in market for theanalysis of user   behavior
What Is available with us                   Real-time user behavior data on the website                   Server behavior ...
HOW?                WEB LOGS                Access patterns   Our JS   SCRIPTUser behaviorWith the page
CLICK TALE JS script           User Behavior on the page             Data collected:             User mouse movement      ...
Web log Number of visits and number of unique visitors Visits duration and last visits Authenticated users, and last authe...
Web logData collectedLogFormat "%h %l %u %t "%r" %>s %b" common109.230.246.148 - - [07/Sep/2011:00:00:00 +0800] "POST /ucp...
What can be done with the            information?See everything visitors do on a website!Discover what page elements, imag...
What are we capable of doing with      available resources?         Search         Mobile OS(touch tracking)         Multi...
Data Analysis Methods                                                            Funnel visualization                     ...
Funnel visualization
Click          vs            View Clicks vs. Visits             Visits vs. Visitors                        Pageviews vs. U...
Measuring Visitors                  Loyalty                                           Recency                             ...
Measuring VisitorsLoyalty   Recency   Length of Visit   Depth of Visit
Measuring VisitorsLoyalty   Recency   Length of Visit   Depth of Visit
Measuring Visitors     Loyalty                 Recency                  Length of Visit                     Depth of Visit...
OnPage Analysis                                     Titles                              Meta descriptions                 ...
Visitor path       A               B                    C    DA      1000              250                 90BC        100...
prospective & retrospective                                                                        STUDY                A ...
FilterText string or regular expression that is appliedto incoming traffic data. Filters are used tomanipulate this data b...
Predictive AnalyticsImprove Our Future Based On What We Know From Our Past    Business Intelligence    1) Data cleaning ta...
INTERNAL SITE SEARCHhttp://www.kaushik.net/avinash/kick-butt-with-        internal-site-search-analytics/
What is our plus?No information loss because all original data is recorded and storedEvery analysis and every filter is ex...
What is splunk?Splunk is software to search, monitor andanalyze machine-generated data byapplications, systems and IT infr...
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User behaviour

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Analysis of web User Behavior by effectively using the web server logs, and other web analytics tool.

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  • More reference:http://www.kaushik.net/avinash/data-mining-and-predictive-analytics-on-web-data-works-nyet/ http://cio.co.nz/cio.nsf/news/8896836F10BBEC61CC25765D006A5561http://www.asterdata.com/blog/2012/04/13/connecting-big-data-with-big-analytics-ensuring-business-success/
  • User behaviour

    1. 1. Analysis of USER BEHAVIOUR www.about.me/eashwar
    2. 2. Some of thefamous tools in market for theanalysis of user behavior
    3. 3. What Is available with us Real-time user behavior data on the website Server behavior towards the userour technology with click tale:Will get the user behavior from the webpagesupported by Splunk’st technology:Will get the server(one) OR servers(many) behavior towards the user on the webpage
    4. 4. HOW? WEB LOGS Access patterns Our JS SCRIPTUser behaviorWith the page
    5. 5. CLICK TALE JS script User Behavior on the page Data collected: User mouse movement Scroll reach Hot zone in the page
    6. 6. Web log Number of visits and number of unique visitors Visits duration and last visits Authenticated users, and last authenticated visits Days of week and rush hours Domains/countries of hosts visitors Hosts list Number total page views Most viewed, entry and exit pages Files type OS used Browsers used Robots HTTP referrer Search engines, key phrases and keywords used to find the analyzed web site HTTP errors Some of the log analyzers also report on whos on the site, conversion tracking, visit time and page navigation.
    7. 7. Web logData collectedLogFormat "%h %l %u %t "%r" %>s %b" common109.230.246.148 - - [07/Sep/2011:00:00:00 +0800] "POST /ucp.php?mode=register HTTP/1.0"200 27873"http://www.sgevoclub.com/ucp.php?mode=register&sid=ea40bb9c24c6fe0b237a98d89335a2c7" "Mozilla/4.0 (compatible; MSIE 5.5; Windows 95; BCD2000)"94.228.34.207 - - [07/Sep/2011:00:00:02 +0800] "GET/forum/read_msg.php?tid=349&forumid=seriousth HTTP/1.1" 200 3751 "-" "magpie-crawler/1.1 (U; Linux amd64; en-GB; +http://www.brandwatch.net)"
    8. 8. What can be done with the information?See everything visitors do on a website!Discover what page elements, images and content visitors like and pay attentionto.Troubleshoot a site quickly and effectively to find frustration points, improvevisitor engagement and help visitors get what they want.Analyze the performance of the online forms, and all kind of input elements
    9. 9. What are we capable of doing with available resources? Search Mobile OS(touch tracking) Multi-domain tracking Website speed Event tracking E-commerce User-defined variables Forms and fields analytics
    10. 10. Data Analysis Methods Funnel visualization Click vs View Measuring Visitors On-page analysis Visitor path prospective & retrospective Filters Trends Predictive Internal search Alerts and flagging Custom reports Multi-user dashboards Customizable dashboardsSource: http://www.aboutanalytics.com/select-tools Red titles not completed
    11. 11. Funnel visualization
    12. 12. Click vs View Clicks vs. Visits Visits vs. Visitors Pageviews vs. Unique Pageviews
    13. 13. Measuring Visitors Loyalty Recency Length of Visit Depth of Visithttp://www.siliconbeachtraining.co.uk/free-resources/google-analytics-measuring-success-using-visitor-loyalty/
    14. 14. Measuring VisitorsLoyalty Recency Length of Visit Depth of Visit
    15. 15. Measuring VisitorsLoyalty Recency Length of Visit Depth of Visit
    16. 16. Measuring Visitors Loyalty Recency Length of Visit Depth of VisitUnderstanding your customer, listening to them, talking with them, and giving them what they want = Visitor Loyalty
    17. 17. OnPage Analysis Titles Meta descriptions Meta keywords Page relevant keywords keyword phrases URL extensions Headings Phrase elementsMeasures the performance of a website in a commercial perspective, as data ischaracteristically compared against key performance indicators for performance, andused to advance a web site. This usually includes its drivers and conversions to attaina high search engine status. To achieve this you actually need to undertake someonpage analysis and verify each page to guarantee it is correctly optimized for atargeted keyword.
    18. 18. Visitor path A B C DA 1000 250 90BC 100D 500 A is Home page D is contact us page
    19. 19. prospective & retrospective STUDY A retrospective study is a study that A prospective study looks forward in time. For looks backwards in time. For example, we select a group of subjects and sit example, we find people that are already around and watch them for a decade. A dead and try to figure out why they died. prospective study is slow. Unless you are A retrospective study is fast. Since the studying a rapidly fatal disease, you have to subjects are already dead; we just have wait years or even decades to accumulate to tabulate all the results. The one sufficient data to draw any strong conclusions. problem is that its hard to interview a On the other hand, live subjects make for a dead person. more informative interview.http://www.childrensmercy.org/stats/definitions/retrospective.htm
    20. 20. FilterText string or regular expression that is appliedto incoming traffic data. Filters are used tomanipulate this data before it appears inAnalytics reports, either by excluding certainpage views or by rewriting data to makereports more readable or relevant.
    21. 21. Predictive AnalyticsImprove Our Future Based On What We Know From Our Past Business Intelligence 1) Data cleaning takes 80% of the time -- Analyzing takes 20% 2) BE aware of GIGO (garbage in, garbage out).Data cleaning Analyzing GIGOIt an important procedure It is done with the Selective about theduring which the data are unique our analysis Theory data you feed intoinspected, and erroneous your modeldata are corrected(ifnecessary, preferable, andpossible) “Give me the grace to accept the things I cannot measure, the courage to measure the things I can, and the wisdom to know the difference”"If we do this then we start small, see what we find, if it is actionable then build on it some more and then check again for actionability. If we dont find actionability then scrap it and do other things."
    22. 22. INTERNAL SITE SEARCHhttp://www.kaushik.net/avinash/kick-butt-with- internal-site-search-analytics/
    23. 23. What is our plus?No information loss because all original data is recorded and storedEvery analysis and every filter is executed based on the complete data set andalways in real time. This means that the data is not aggregated (summarized) andnot sampled.Retrospective segmentation is possible at any time. All data and analyses can beevaluated retrospectively, on-the-fly, andat any time with any correlations and links that you wish, and can be filteredusing multiple filters.Change filter criteria whenever you want and take account of otheranalyses, e.g., for the previous month or a different keyword. Drill down analytics to the lowest granular level, the individual user, i.e., analytics data can be evaluated in terms of individual user behavior.
    24. 24. What is splunk?Splunk is software to search, monitor andanalyze machine-generated data byapplications, systems and IT infrastructure atscale via a web-style interface. Splunk captures,indexes and correlates real-time data in asearchable repository from which it cangenerate graphs, reports, alerts, dashboardsand visualizations.
    25. 25. THANK YOU

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