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	<title>Customer Experience Optimization</title>
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	<description>Space for the identification and discussion of interesting ways of managing and optimizing customer experience and behavior</description>
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		<title>Customer Experience Optimization</title>
		<link>http://optimizecustomerexperience.wordpress.com</link>
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			<item>
		<title>Customer Decision Management</title>
		<link>http://optimizecustomerexperience.wordpress.com/2008/05/05/customer-decision-management/</link>
		<comments>http://optimizecustomerexperience.wordpress.com/2008/05/05/customer-decision-management/#comments</comments>
		<pubDate>Mon, 05 May 2008 21:37:49 +0000</pubDate>
		<dc:creator>anygren</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://optimizecustomerexperience.wordpress.com/?p=4</guid>
		<description><![CDATA[Here&#8217;s a whitepaper I wrote a year ago.  customer_decision_management1
The primary point is that in order to maximize the efficiency of customer acquisition and retention programs, one must understand and manage the customer decision-making process.
 
       <img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=optimizecustomerexperience.wordpress.com&blog=3654068&post=4&subd=optimizecustomerexperience&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>Here&#8217;s a whitepaper I wrote a year ago.  <a href="http://optimizecustomerexperience.files.wordpress.com/2008/05/customer_decision_management1.pdf">customer_decision_management1</a></p>
<p>The primary point is that in order to maximize the efficiency of customer acquisition and retention programs, one must understand and manage the customer decision-making process.</p>
<p> </p>
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			<media:title type="html">anygren</media:title>
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		<title>Customer Decision Functions</title>
		<link>http://optimizecustomerexperience.wordpress.com/2008/05/05/customer-decision-functions/</link>
		<comments>http://optimizecustomerexperience.wordpress.com/2008/05/05/customer-decision-functions/#comments</comments>
		<pubDate>Mon, 05 May 2008 21:09:04 +0000</pubDate>
		<dc:creator>anygren</dc:creator>
				<category><![CDATA[Managing Customer Behavior]]></category>
		<category><![CDATA[customer decisions]]></category>
		<category><![CDATA[customer motivation]]></category>

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		<description><![CDATA[


Notes on Customer Decision Functions


Customer Decision Functions are function equations that parse out the factors involved in a customer decision. By identifying the factors, and then arranging them into the form of a formula, one is able to understand better the levers for influencing the decision and the trade-offs necessary to secure a successful outcome.For [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=optimizecustomerexperience.wordpress.com&blog=3654068&post=3&subd=optimizecustomerexperience&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><table border="0" cellpadding="5" width="100%" bgcolor="#ffffff">
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<td><span style="color:#990000;"><strong>Notes on Customer Decision Functions</strong></span></td>
</tr>
<tr>
<td class="verdana9black">Customer Decision Functions are function equations that parse out the factors involved in a customer decision. By identifying the factors, and then arranging them into the form of a formula, one is able to understand better the levers for influencing the decision and the trade-offs necessary to secure a successful outcome.For example, in the case of a customer referral program that involves a reward, the function would be:</p>
<p><strong>f[Referral] = (Satisfaction &#8211; Risk(reputation)) * Reward &#8211; (Effort / Attainability)</strong></p>
<p>This means, for example, that if satisfaction is extremely high and the potential risk to reputation low, the reward could be relatively small, provided that there was minimal effort involved in obtaining it and it was readily attainable. If satisfaction were not as high, the reward would need to be greater. If it were difficult to obtain a reward, it would either need to be substantial or satisfaction would need to be significant. An example of this last scenario would be one in which the referer gets some personal satisfaction/cache from telling others about the product/service.</p>
<p>Other functions are below.</p>
<p><strong>f[Loyalty Program Participation] = Reward^Attainability &#8211; Effort^1/Investment</strong></p>
<p><strong>f[Loyalty] = Satisfaction + Benefit(status quo) &#8211; Competitor Value^Ease of switching</strong></p>
<p><strong>f[Satisfaction] = Reality &#8211; Expectations</strong></p>
<p><strong>f[Purchase vs. Status Quo] = Benefit * Benefit Attainability &#8211; Cost + Risk(status quo) &#8211; Risk(change)</strong></p>
<p><strong>f[Referral] = (Satisfaction &#8211; Risk(reputation)) * Reward &#8211; (Effort / Reward Attainability)</strong></p>
<p><strong>f[Renewal Membership/Maintenance Program] = Satisfaction + Need(anticipated) + Risk(non-renewal) &#8211; Cost</strong></td>
</tr>
</tbody>
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			<media:title type="html">anygren</media:title>
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		<item>
		<title>Intro to Customer Experience Optimization</title>
		<link>http://optimizecustomerexperience.wordpress.com/2008/05/05/ceo_intro/</link>
		<comments>http://optimizecustomerexperience.wordpress.com/2008/05/05/ceo_intro/#comments</comments>
		<pubDate>Mon, 05 May 2008 20:53:28 +0000</pubDate>
		<dc:creator>anygren</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[customer analytics]]></category>
		<category><![CDATA[customer experience]]></category>
		<category><![CDATA[customer insight]]></category>
		<category><![CDATA[marketing strategy]]></category>

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		<description><![CDATA[The goal of this blog is to initiate conversations about how to understand, manage, and improve the customer experience across businesses with the end result of increasing customer value.
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			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>The goal of this blog is to initiate conversations about how to understand, manage, and improve the customer experience across businesses with the end result of increasing customer value.</p>
<img alt="" border="0" src="http://feeds.wordpress.com/1.0/categories/optimizecustomerexperience.wordpress.com/1/" /> <img alt="" border="0" src="http://feeds.wordpress.com/1.0/tags/optimizecustomerexperience.wordpress.com/1/" /> <a rel="nofollow" href="http://feeds.wordpress.com/1.0/gocomments/optimizecustomerexperience.wordpress.com/1/"><img alt="" border="0" src="http://feeds.wordpress.com/1.0/comments/optimizecustomerexperience.wordpress.com/1/" /></a> <a rel="nofollow" href="http://feeds.wordpress.com/1.0/godelicious/optimizecustomerexperience.wordpress.com/1/"><img alt="" border="0" src="http://feeds.wordpress.com/1.0/delicious/optimizecustomerexperience.wordpress.com/1/" /></a> <a rel="nofollow" href="http://feeds.wordpress.com/1.0/gostumble/optimizecustomerexperience.wordpress.com/1/"><img alt="" border="0" src="http://feeds.wordpress.com/1.0/stumble/optimizecustomerexperience.wordpress.com/1/" /></a> <a rel="nofollow" href="http://feeds.wordpress.com/1.0/godigg/optimizecustomerexperience.wordpress.com/1/"><img alt="" border="0" src="http://feeds.wordpress.com/1.0/digg/optimizecustomerexperience.wordpress.com/1/" /></a> <a rel="nofollow" href="http://feeds.wordpress.com/1.0/goreddit/optimizecustomerexperience.wordpress.com/1/"><img alt="" border="0" src="http://feeds.wordpress.com/1.0/reddit/optimizecustomerexperience.wordpress.com/1/" /></a> <img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=optimizecustomerexperience.wordpress.com&blog=3654068&post=1&subd=optimizecustomerexperience&ref=&feed=1" /></div>]]></content:encoded>
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