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    <title>topic Re: Clickstream Data Analysis in SAS Enterprise Guide</title>
    <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329727#M21919</link>
    <description>&lt;P&gt;You need to start at the source. Have the web server configured to write the clickstream log (in the apache httpd.conf configuration file, one only has to uncomment the proper directive).&lt;/P&gt;
&lt;P&gt;Once you have that log, I can provide a code example for reading and analysing it.&lt;/P&gt;</description>
    <pubDate>Fri, 03 Feb 2017 09:25:58 GMT</pubDate>
    <dc:creator>Kurt_Bremser</dc:creator>
    <dc:date>2017-02-03T09:25:58Z</dc:date>
    <item>
      <title>Clickstream Data Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329710#M21917</link>
      <description>&lt;P&gt;I am very new to online data analysis. We alredy have a data like session id, cust id, hostname, time spend url in sec,product code, and other important columns&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Could you please guide me how we can explore the online data to understand visitors behivour and at which page vistitor exit or purache and manay more parameters.&lt;/P&gt;</description>
      <pubDate>Fri, 03 Feb 2017 08:31:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329710#M21917</guid>
      <dc:creator>sewa_bal_gmail_com</dc:creator>
      <dc:date>2017-02-03T08:31:45Z</dc:date>
    </item>
    <item>
      <title>Re: Clickstream Data Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329727#M21919</link>
      <description>&lt;P&gt;You need to start at the source. Have the web server configured to write the clickstream log (in the apache httpd.conf configuration file, one only has to uncomment the proper directive).&lt;/P&gt;
&lt;P&gt;Once you have that log, I can provide a code example for reading and analysing it.&lt;/P&gt;</description>
      <pubDate>Fri, 03 Feb 2017 09:25:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329727#M21919</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2017-02-03T09:25:58Z</dc:date>
    </item>
    <item>
      <title>Re: Clickstream Data Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329729#M21920</link>
      <description>&lt;P&gt;Thanks for a reply , We alredy have a clean data on cloud, but i need help how to explore data to understand customer behaviour and at what point visitor leave the page and manay more question...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We have sas va and sas eg software.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 03 Feb 2017 09:31:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329729#M21920</guid>
      <dc:creator>sewa_bal_gmail_com</dc:creator>
      <dc:date>2017-02-03T09:31:49Z</dc:date>
    </item>
    <item>
      <title>Re: Clickstream Data Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329730#M21921</link>
      <description>&lt;P&gt;Then post a thorough description of your data, and some examples (data step!)&lt;/P&gt;</description>
      <pubDate>Fri, 03 Feb 2017 09:33:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329730#M21921</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2017-02-03T09:33:14Z</dc:date>
    </item>
    <item>
      <title>Re: Clickstream Data Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329739#M21922</link>
      <description>&lt;P&gt;Please see below data description&lt;/P&gt;&lt;P&gt;1 milltion rows generated each date. we have also set of columns as well&lt;BR /&gt;custid datetime URL prod_code Event&lt;BR /&gt;1 100 &lt;A href="http://www.zxc.com" target="_blank"&gt;www.zxc.com&lt;/A&gt; A page view&lt;BR /&gt;1 101 &lt;A href="http://www.zxc2.com" target="_blank"&gt;www.zxc2.com&lt;/A&gt; A Add to card&lt;BR /&gt;1 105 &lt;A href="http://www.zxc3.com" target="_blank"&gt;www.zxc3.com&lt;/A&gt; B purchase&lt;BR /&gt;1 107 &lt;A href="http://www.zxc4.com" target="_blank"&gt;www.zxc4.com&lt;/A&gt; B purachse.&lt;/P&gt;</description>
      <pubDate>Fri, 03 Feb 2017 09:50:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329739#M21922</guid>
      <dc:creator>sewa_bal_gmail_com</dc:creator>
      <dc:date>2017-02-03T09:50:35Z</dc:date>
    </item>
    <item>
      <title>Re: Clickstream Data Analysis</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329763#M21925</link>
      <description>&lt;P&gt;Here is a &lt;A href="http://blogs.sas.com/content/sgf/2012/04/24/macro-for-collecting-analyzing-and-reporting-on-clickstream-data/" target="_self"&gt;simple paper on the topic&lt;/A&gt;. &amp;nbsp;And &lt;A href="http://www.sas.com/content/dam/SAS/en_us/doc/whitepaper1/digital-personalization-for-online-offline-data-107742.pdf" target="_self"&gt;this whitepaper on the general approach&lt;/A&gt;&amp;nbsp;that shows more sophisticated tools at work.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 03 Feb 2017 12:47:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Clickstream-Data-Analysis/m-p/329763#M21925</guid>
      <dc:creator>ChrisHemedinger</dc:creator>
      <dc:date>2017-02-03T12:47:13Z</dc:date>
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