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	<title>Email Filtering + Business Email Management &#187; Interesting Stats</title>
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	<link>http://www.dicontas.co.uk/blog</link>
	<description>email filtering &#124; email management &#124; email services &#124; email security for business email users</description>
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		<title>Email Marketing &#8211; top slot for marketing ROI</title>
		<link>http://www.dicontas.co.uk/blog/statistics/email-marketing-top-slot-for-marketing-roi/</link>
		<comments>http://www.dicontas.co.uk/blog/statistics/email-marketing-top-slot-for-marketing-roi/#comments</comments>
		<pubDate>Thu, 10 May 2007 13:41:31 +0000</pubDate>
		<dc:creator>Dicontas Blog Admin</dc:creator>
				<category><![CDATA[Interesting Stats]]></category>
		<category><![CDATA[Datran-Media]]></category>
		<category><![CDATA[DMA]]></category>
		<category><![CDATA[EEC]]></category>
		<category><![CDATA[email-marketing]]></category>
		<category><![CDATA[MarketingSherpa]]></category>
		<category><![CDATA[SubscriberMail]]></category>

		<guid isPermaLink="false">http://www.dicontas.co.uk/blog/statistics/email-marketing-top-slot-for-marketing-roi/111/</guid>
		<description><![CDATA[According to the Direct Marketing Association, email marketing generated an ROI of $57.25 for every dollar spent on it in 2005, outperforming all other direct marketing channels. When rated against all other online marketing tactics, 47 percent of marketers said email marketing was their top-performing tactic, according to a survey by MarketingSherpa. For these reasons, [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>MessageLabs report that spam levels hit 76%</title>
		<link>http://www.dicontas.co.uk/blog/statistics/messagelabs-email-spam-march-2007-levels/</link>
		<comments>http://www.dicontas.co.uk/blog/statistics/messagelabs-email-spam-march-2007-levels/#comments</comments>
		<pubDate>Wed, 11 Apr 2007 16:09:15 +0000</pubDate>
		<dc:creator>Dicontas Blog Admin</dc:creator>
				<category><![CDATA[Interesting Stats]]></category>
		<category><![CDATA[email-spam]]></category>
		<category><![CDATA[MessageLabs]]></category>
		<category><![CDATA[spam]]></category>

		<guid isPermaLink="false">http://www.dicontas.co.uk/blog/statistics/messagelabs-email-spam-march-2007-levels/106/</guid>
		<description><![CDATA[MessageLabs, a leading provider of integrated messaging and web security services to businesses worldwide, announced the results of its MessageLabs Intelligence Report for March 2007. Quarter on quarter spam levels have raised to 76.3 percent, their highest in two years. Virus and botnet activity has also increased. The report highlights the impact of increased spam [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Nearly 1 in 4 emails attachments contain porn images</title>
		<link>http://www.dicontas.co.uk/blog/statistics/nearly-1-in-4-emails-attachments-contain-porn-images/</link>
		<comments>http://www.dicontas.co.uk/blog/statistics/nearly-1-in-4-emails-attachments-contain-porn-images/#comments</comments>
		<pubDate>Wed, 20 Sep 2006 12:24:02 +0000</pubDate>
		<dc:creator>Dicontas Blog Admin</dc:creator>
				<category><![CDATA[Interesting Stats]]></category>
		<category><![CDATA[images]]></category>
		<category><![CDATA[legal_compliance]]></category>
		<category><![CDATA[pornographic]]></category>
		<category><![CDATA[SurfControl]]></category>

		<guid isPermaLink="false">http://www.dicontas.co.uk/blog/statistics/nearly-1-in-4-emails-attachment-contain-porn-images/28/</guid>
		<description><![CDATA[SurfControl estimates that nearly one in every four image attachments sent through a business email system may contain explicit adult-rated images and up to 75% of email traffic is non-business related.]]></description>
		<wfw:commentRss>http://www.dicontas.co.uk/blog/statistics/nearly-1-in-4-emails-attachments-contain-porn-images/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>1 in 1000 emails may contain adult materials</title>
		<link>http://www.dicontas.co.uk/blog/statistics/1-in-1000-emails-may-contain-adult-materials/</link>
		<comments>http://www.dicontas.co.uk/blog/statistics/1-in-1000-emails-may-contain-adult-materials/#comments</comments>
		<pubDate>Wed, 20 Sep 2006 12:18:49 +0000</pubDate>
		<dc:creator>Dicontas Blog Admin</dc:creator>
				<category><![CDATA[Interesting Stats]]></category>
		<category><![CDATA[email_monitoring]]></category>
		<category><![CDATA[images]]></category>
		<category><![CDATA[legal_compliance]]></category>
		<category><![CDATA[MessageLabs]]></category>
		<category><![CDATA[pornographic]]></category>

		<guid isPermaLink="false">http://www.dicontas.co.uk/blog/statistics/1-in-1000-emails-may-contain-adult-materials/27/</guid>
		<description><![CDATA[MessageLabs have reported that, on average during 2005, one in just over every thousand email messages going through their filtering system contains potentially offensive, adult-rated pornographic image attachments.]]></description>
		<wfw:commentRss>http://www.dicontas.co.uk/blog/statistics/1-in-1000-emails-may-contain-adult-materials/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Microsofts demographics prediction tool</title>
		<link>http://www.dicontas.co.uk/blog/statistics/microsofts-demographics-prediction-tool/</link>
		<comments>http://www.dicontas.co.uk/blog/statistics/microsofts-demographics-prediction-tool/#comments</comments>
		<pubDate>Tue, 19 Sep 2006 23:04:48 +0000</pubDate>
		<dc:creator>Dicontas Blog Admin</dc:creator>
				<category><![CDATA[Interesting Stats]]></category>
		<category><![CDATA[demographic_information]]></category>
		<category><![CDATA[email_monitoring]]></category>
		<category><![CDATA[microsoft]]></category>

		<guid isPermaLink="false">http://www.dicontas.co.uk/blog/statistics/microsofts-demographics-prediction-tool/26/</guid>
		<description><![CDATA[Based on Microsoft&#8217;s latest prototype Demographics Prediction tool at adCenter Labs Demonstration technology to predict a customer’s age, gender, and other demographic information according to his or her online behavior—that is, from search queries and webpage views. I tried this for both email filtering and email monitoring. The results were as follows: Email Monitoring: Male [...]]]></description>
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		<slash:comments>0</slash:comments>
		</item>
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