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	<title>Comments on: Email Marketing: List Retention Analysis</title>
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	<link>http://marketingtechblog.com/2007/06/16/retention-analysis/</link>
	<description>new media strategies and other marketing gems</description>
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		<title>By: Autotarget: A Behavioral Marketing Engine for Email &#124; The Marketing Technology Blog, Indianapolis</title>
		<link>http://marketingtechblog.com/2007/06/16/retention-analysis/comment-page-1/#comment-245737</link>
		<dc:creator>Autotarget: A Behavioral Marketing Engine for Email &#124; The Marketing Technology Blog, Indianapolis</dc:creator>
		<pubDate>Mon, 17 Nov 2008 15:24:14 +0000</pubDate>
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		<description>[...] also find my other business blog helpful, Social Media Domination.Database marketing is all about indexing behaviors, demographics and doing predictive analytics on your prospects in order to market to them more [...]</description>
		<content:encoded><![CDATA[<p>[...] also find my other business blog helpful, Social Media Domination.Database marketing is all about indexing behaviors, demographics and doing predictive analytics on your prospects in order to market to them more [...]</p>
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	<item>
		<title>By: &#187; Почтовые метрики 2 Вначале была почта - дневник Почтового Куба</title>
		<link>http://marketingtechblog.com/2007/06/16/retention-analysis/comment-page-1/#comment-50468</link>
		<dc:creator>&#187; Почтовые метрики 2 Вначале была почта - дневник Почтового Куба</dc:creator>
		<pubDate>Sun, 01 Jul 2007 21:58:02 +0000</pubDate>
		<guid isPermaLink="false">http://marketingtechblog.com/2007/06/16/retention-analysis/#comment-50468</guid>
		<description>[...] подписчиков. Подробности читайте в&#160;оригинале: List Retention Analysis [...]</description>
		<content:encoded><![CDATA[<p>[...] подписчиков. Подробности читайте в&nbsp;оригинале: List Retention Analysis [...]</p>
]]></content:encoded>
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		<title>By: List Retention Analysis at eMedia Daily</title>
		<link>http://marketingtechblog.com/2007/06/16/retention-analysis/comment-page-1/#comment-50051</link>
		<dc:creator>List Retention Analysis at eMedia Daily</dc:creator>
		<pubDate>Wed, 27 Jun 2007 01:33:47 +0000</pubDate>
		<guid isPermaLink="false">http://marketingtechblog.com/2007/06/16/retention-analysis/#comment-50051</guid>
		<description>[...] To read more and to download the spreadsheet sample, visit The Marketing Technology Blog. [...]</description>
		<content:encoded><![CDATA[<p>[...] To read more and to download the spreadsheet sample, visit The Marketing Technology Blog. [...]</p>
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		<title>By: Email Marketing Formulas and Key Indicators &#124; The Marketing Technology Blog</title>
		<link>http://marketingtechblog.com/2007/06/16/retention-analysis/comment-page-1/#comment-49495</link>
		<dc:creator>Email Marketing Formulas and Key Indicators &#124; The Marketing Technology Blog</dc:creator>
		<pubDate>Sat, 23 Jun 2007 17:23:24 +0000</pubDate>
		<guid isPermaLink="false">http://marketingtechblog.com/2007/06/16/retention-analysis/#comment-49495</guid>
		<description>[...] Unsubscribe Rate: This is the number of unique email addresses that &#8216;bailed&#8217;. They didn&#8217;t have an interest in your message so they unsubscribed. Unsubscribe rates are key to recognizing whether or not your content sucks. Just as important, though, is calculating when people unsubscribe. Perhaps it&#8217;s on the 2nd email or perhaps it&#8217;s the 4th&#8230; you need to figure that out and ensure that you provide some great content, especially at danger points when people are more likely to unsubscribe. You can find this by doing some Retention Analysis. [...]</description>
		<content:encoded><![CDATA[<p>[...] Unsubscribe Rate: This is the number of unique email addresses that &#8216;bailed&#8217;. They didn&#8217;t have an interest in your message so they unsubscribed. Unsubscribe rates are key to recognizing whether or not your content sucks. Just as important, though, is calculating when people unsubscribe. Perhaps it&#8217;s on the 2nd email or perhaps it&#8217;s the 4th&#8230; you need to figure that out and ensure that you provide some great content, especially at danger points when people are more likely to unsubscribe. You can find this by doing some Retention Analysis. [...]</p>
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