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    <title>topic Re: determine if certain customer segment(s) are more price sensitive than other(s) in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/determine-if-certain-customer-segment-s-are-more-price-sensitive/m-p/486519#M71939</link>
    <description>&lt;P&gt;You might want to move this topic to the SAS econometrics and Forecasting forum in the "analytics" group.&amp;nbsp; I suspect your most knowledgeable respondents will be over there.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;One comment I would make though.&amp;nbsp; Your models as specified, regardless of post-hoc test choices, presumes a linear effect of price on demand.&amp;nbsp; If you have lots of price points, you probably should consider non-linear effects.&lt;/P&gt;</description>
    <pubDate>Tue, 14 Aug 2018 00:15:05 GMT</pubDate>
    <dc:creator>mkeintz</dc:creator>
    <dc:date>2018-08-14T00:15:05Z</dc:date>
    <item>
      <title>determine if certain customer segment(s) are more price sensitive than other(s)</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/determine-if-certain-customer-segment-s-are-more-price-sensitive/m-p/454383#M69973</link>
      <description>&lt;P&gt;I would like to perform some basic statistical test to establish whether certain customer segments are more price sensitive than other. For each customer segment (CustomerSegmentId) I have samples of how many units were bought of one specific product (NumberOfUnits) at each price (Price). The data structure is as follows:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;CustomerSegmentId Price ProductId NumberOfUnits&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Certain customer segments have much lower samples than others, making it an unbalanced problem. This means that I should use PROC GLM rather than PROC ANOVA using code along those lines: &amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glm data = SomeData;

&amp;nbsp; class CustomerSegmentId ProductId;

&amp;nbsp; model NumberOfUnits

&amp;nbsp;&amp;nbsp;&amp;nbsp; = Price CustomerSegmentId ProductId;

run;

quit;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I know that this community does not exist to answer statistical questions but the only site I am aware of Cross Validated:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://stats.stackexchange.com/" target="_self"&gt;https://stats.stackexchange.com/&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;is not very responsive (please suggest other sites).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is the above a good starting point? Also how do I perform post hoc tests to answer questions as to whether CustomerSegmentId=1 is more price sensitive than CustomerSegmentId=2?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I also had a look at choice set approaches, which use for example logistic regression. Unfortunately, I only have observational data in this format:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;TargetProductId ComparableProductId TargetPriceProductPrice ComparableProductPrice CustomerSegmentId TargetProductBought&lt;/P&gt;&lt;P&gt;1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 23&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 25&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 0&lt;/P&gt;&lt;P&gt;1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 23&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 25.50&amp;nbsp;&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 0&lt;/P&gt;&lt;P&gt;1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 4&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 23&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 21&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here we look at a target product at the time and we can establish if another comparable product of a customer was viewed. We know the price of the target product and the comparable product. We also know if the target product was bought by the customer belonging to a certain segment (TargetProductBought = binary).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Perhaps one could fit a logistic regression model using these product pair data (there would also be independent variables for each customer segment etc.)? I am aware of great publications by Warren F. Kuhfeld, e.g.:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://support.sas.com/techsup/technote/mr2010f.pdf" target="_self"&gt;https://support.sas.com/techsup/technote/mr2010f.pdf&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;but I am not sure whether my data described above could be used.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any feedback would be very much appreciated. Thanks!&lt;/P&gt;</description>
      <pubDate>Mon, 16 Apr 2018 09:41:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/determine-if-certain-customer-segment-s-are-more-price-sensitive/m-p/454383#M69973</guid>
      <dc:creator>csetzkorn</dc:creator>
      <dc:date>2018-04-16T09:41:36Z</dc:date>
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    <item>
      <title>Re: determine if certain customer segment(s) are more price sensitive than other(s)</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/determine-if-certain-customer-segment-s-are-more-price-sensitive/m-p/486519#M71939</link>
      <description>&lt;P&gt;You might want to move this topic to the SAS econometrics and Forecasting forum in the "analytics" group.&amp;nbsp; I suspect your most knowledgeable respondents will be over there.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;One comment I would make though.&amp;nbsp; Your models as specified, regardless of post-hoc test choices, presumes a linear effect of price on demand.&amp;nbsp; If you have lots of price points, you probably should consider non-linear effects.&lt;/P&gt;</description>
      <pubDate>Tue, 14 Aug 2018 00:15:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/determine-if-certain-customer-segment-s-are-more-price-sensitive/m-p/486519#M71939</guid>
      <dc:creator>mkeintz</dc:creator>
      <dc:date>2018-08-14T00:15:05Z</dc:date>
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