<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
		>
<channel>
	<title>Comments on: Hacking the RFM Model</title>
	<atom:link href="http://blog.jimnovo.com/2009/05/29/hacking-the-rfm-model/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.jimnovo.com/2009/05/29/hacking-the-rfm-model/</link>
	<description>Moving from a Low Accountability to a High Accountability Business Model</description>
	<lastBuildDate>Tue, 24 Jan 2012 15:46:38 -0500</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.4</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: Manthan</title>
		<link>http://blog.jimnovo.com/2009/05/29/hacking-the-rfm-model/comment-page-1/#comment-136912</link>
		<dc:creator>Manthan</dc:creator>
		<pubDate>Fri, 17 Dec 2010 08:45:39 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jimnovo.com/?p=306#comment-136912</guid>
		<description>Good article here. While retailers end up spending large amounts creating and executing elaborate loyalty programs and promotional campaigns, the response may be disappointing. Accurate knowledge of customers who are more likely to buy the second time can help retailers focus their efforts on this concentrated target group and derive higher benefits from promotions and loyalty marketing. This can be done through RFM model retail analytics. More info here: http://thoughts.manthansystems.com/rfmmodel_business_analytics.php</description>
		<content:encoded><![CDATA[<p>Good article here. While retailers end up spending large amounts creating and executing elaborate loyalty programs and promotional campaigns, the response may be disappointing. Accurate knowledge of customers who are more likely to buy the second time can help retailers focus their efforts on this concentrated target group and derive higher benefits from promotions and loyalty marketing. This can be done through RFM model retail analytics. More info here: <a href="http://thoughts.manthansystems.com/rfmmodel_business_analytics.php" rel="nofollow">http://thoughts.manthansystems.com/rfmmodel_business_analytics.php</a></p>
]]></content:encoded>
	</item>
	<item>
		<title>By: John Boudreau</title>
		<link>http://blog.jimnovo.com/2009/05/29/hacking-the-rfm-model/comment-page-1/#comment-72319</link>
		<dc:creator>John Boudreau</dc:creator>
		<pubDate>Sat, 04 Jul 2009 21:47:00 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jimnovo.com/?p=306#comment-72319</guid>
		<description>Jim - great blog. I also purchased your book and read it on vacation (believe it or not). I&#039;m looking to apply these concepts into our products which will allow our clients to rank their customers and be more efficient with email marketing...thanks again

P.S. I&#039;ve linked to you on my blog! Great content.</description>
		<content:encoded><![CDATA[<p>Jim &#8211; great blog. I also purchased your book and read it on vacation (believe it or not). I&#8217;m looking to apply these concepts into our products which will allow our clients to rank their customers and be more efficient with email marketing&#8230;thanks again</p>
<p>P.S. I&#8217;ve linked to you on my blog! Great content.</p>
]]></content:encoded>
	</item>
</channel>
</rss>

