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	<title>Comments on: LifeCycle Marketing</title>
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	<link>http://blog.jimnovo.com/2007/01/14/lifecycle-marketing/</link>
	<description>Moving from a Low Accountability to a High Accountability Business Model</description>
	<pubDate>Wed,  8 Oct 2008 00:07:01 +0000</pubDate>
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		<item>
		<title>By: Kostis Panayotakis</title>
		<link>http://blog.jimnovo.com/2007/01/14/lifecycle-marketing/#comment-52</link>
		<dc:creator>Kostis Panayotakis</dc:creator>
		<pubDate>Mon, 05 Feb 2007 17:07:55 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jimnovo.com/2007/01/14/lifecycle-marketing/#comment-52</guid>
		<description>Obviously, I am blogging and interested on the Customer intelligence subject.  
I have a relevant project starting. More on your mailbox.</description>
		<content:encoded><![CDATA[<p>Obviously, I am blogging and interested on the Customer intelligence subject.<br />
I have a relevant project starting. More on your mailbox.</p>
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		<title>By: Jim Novo</title>
		<link>http://blog.jimnovo.com/2007/01/14/lifecycle-marketing/#comment-50</link>
		<dc:creator>Jim Novo</dc:creator>
		<pubDate>Sun, 04 Feb 2007 13:23:23 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jimnovo.com/2007/01/14/lifecycle-marketing/#comment-50</guid>
		<description>If I answer this question, will a loosely edited version of my answer end up on your web site?  Just curious...

If the revenue transactions are not expressive of customer behavior, for example, as in many utility businesses, then you look to data that is expressive of behavior.  In many cases this data is in the customer service, help desk, or "dispatch" areas.  In a service-oriented business, you look to service-oriented data for predictive power.

More here:

http://www.jimnovo.com/Utility-Profiling.htm</description>
		<content:encoded><![CDATA[<p>If I answer this question, will a loosely edited version of my answer end up on your web site?  Just curious&#8230;</p>
<p>If the revenue transactions are not expressive of customer behavior, for example, as in many utility businesses, then you look to data that is expressive of behavior.  In many cases this data is in the customer service, help desk, or &#8220;dispatch&#8221; areas.  In a service-oriented business, you look to service-oriented data for predictive power.</p>
<p>More here:</p>
<p><a href="http://www.jimnovo.com/Utility-Profiling.htm" rel="nofollow">http://www.jimnovo.com/Utility-Profiling.htm</a></p>
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		<title>By: Kostis Panayotakis</title>
		<link>http://blog.jimnovo.com/2007/01/14/lifecycle-marketing/#comment-49</link>
		<dc:creator>Kostis Panayotakis</dc:creator>
		<pubDate>Sat, 03 Feb 2007 17:23:23 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jimnovo.com/2007/01/14/lifecycle-marketing/#comment-49</guid>
		<description>Hi Jim,
I would be interested to have your opinion on the application of lifecycle and recency principles in the field of continuity services, like a telephone or ADSL subscription. 
Is service usage an event which can be used to measure recency or not ? Should one use only customer order events or other interaction events in order to measure recency ?
I guess you will answer that any recency metric should be tested in order to assess its predictive power. 
Is the recency principle applicable only to certain product types with short lifecycle ?

Thanks 
K</description>
		<content:encoded><![CDATA[<p>Hi Jim,<br />
I would be interested to have your opinion on the application of lifecycle and recency principles in the field of continuity services, like a telephone or ADSL subscription.<br />
Is service usage an event which can be used to measure recency or not ? Should one use only customer order events or other interaction events in order to measure recency ?<br />
I guess you will answer that any recency metric should be tested in order to assess its predictive power.<br />
Is the recency principle applicable only to certain product types with short lifecycle ?</p>
<p>Thanks<br />
K</p>
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