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    <title>topic Calculating probability of churn in year 2 and year 3 in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/Calculating-probability-of-churn-in-year-2-and-year-3/m-p/488215#M7311</link>
    <description>&lt;P&gt;I am trying to find customer future value. I am using a very simple formula here. cfv for year 1 = yearly gross margin or profit * probability of retention. Now if I want to find cfv for year 2, then its the same formula but I want to find out probability of retention of customer in year 2. How do I do it?&lt;BR /&gt;I could assume probability of retention is constant but in my survival analysis it follows a non linear curve. So its definitely not constant. Most customers drop by year 1, 2 , 3 and then it becomes constant.&lt;BR /&gt;Here my target variable is if customer churned or not. I got probability of retention from modelling results.&lt;/P&gt;</description>
    <pubDate>Mon, 20 Aug 2018 16:24:55 GMT</pubDate>
    <dc:creator>harsh0404</dc:creator>
    <dc:date>2018-08-20T16:24:55Z</dc:date>
    <item>
      <title>Calculating probability of churn in year 2 and year 3</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Calculating-probability-of-churn-in-year-2-and-year-3/m-p/488215#M7311</link>
      <description>&lt;P&gt;I am trying to find customer future value. I am using a very simple formula here. cfv for year 1 = yearly gross margin or profit * probability of retention. Now if I want to find cfv for year 2, then its the same formula but I want to find out probability of retention of customer in year 2. How do I do it?&lt;BR /&gt;I could assume probability of retention is constant but in my survival analysis it follows a non linear curve. So its definitely not constant. Most customers drop by year 1, 2 , 3 and then it becomes constant.&lt;BR /&gt;Here my target variable is if customer churned or not. I got probability of retention from modelling results.&lt;/P&gt;</description>
      <pubDate>Mon, 20 Aug 2018 16:24:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Calculating-probability-of-churn-in-year-2-and-year-3/m-p/488215#M7311</guid>
      <dc:creator>harsh0404</dc:creator>
      <dc:date>2018-08-20T16:24:55Z</dc:date>
    </item>
    <item>
      <title>Re: Calculating probability of churn in year 2 and year 3</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/Calculating-probability-of-churn-in-year-2-and-year-3/m-p/488226#M7312</link>
      <description>&lt;P&gt;Wouldn't you get the retention (survival/failure rate) from your survival analysis and apply it to your data? PROC LIFETEST or PROC PHREG can give you the survival rates depending on the complexity of the model.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;A lot of this depends on your data structure so if you show what you have and what you've done so far, we can probably recommend the next steps from there.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/146403"&gt;@harsh0404&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;I am trying to find customer future value. I am using a very simple formula here. cfv for year 1 = yearly gross margin or profit * probability of retention. Now if I want to find cfv for year 2, then its the same formula but I want to find out probability of customer in year 2. How do I do it?&lt;BR /&gt;I could assume probability of retention is constant but in my survival analysis it follows a non linear curve. So its definitely not constant. Most customers drop by year 1, 2 , 3 and then it becomes constant.&lt;BR /&gt;Here my target variable is if customer churned or not. I got probability of retention from modelling results.&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 20 Aug 2018 14:51:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/Calculating-probability-of-churn-in-year-2-and-year-3/m-p/488226#M7312</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2018-08-20T14:51:13Z</dc:date>
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