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	<title>Virginia Miracle &#187; WOM research</title>
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	<description>Word of Mouth Marketing Practitioner</description>
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		<title>WOM Influence &amp;&#8230;Ethnicity???</title>
		<link>http://www.virginiamiracle.com/2008/10/22/wom-influence-ethnicity/</link>
		<comments>http://www.virginiamiracle.com/2008/10/22/wom-influence-ethnicity/#comments</comments>
		<pubDate>Wed, 22 Oct 2008 18:31:35 +0000</pubDate>
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		<category><![CDATA[WOM research]]></category>

		<guid isPermaLink="false">http://www.virginiamiracle.com/?p=257</guid>
		<description><![CDATA[Today, the Center for Media Research emailed out some BIGResearch from this mouth looking at the % of respondents in various groups who respond that their purchases in certain categories are influenced by Word of Mouth: As a WOM Marketing practitioner and general data hound, I love a good chart.  But why the ethnic overlay?  [...]]]></description>
			<content:encoded><![CDATA[<p>Today, the <a title="Today's Research Brief" href="http://www.mediapost.com/blogs/research_brief/?p=1819" target="_blank">Center for Media Research emailed out some BIGResearch </a>from this mouth looking at the % of respondents in various groups who respond that their purchases in certain categories are influenced by Word of Mouth:</p>
<div id="attachment_259" class="wp-caption alignleft" style="width: 498px"><a href="http://www.virginiamiracle.com/wp-content/uploads/2008/10/wominfluence.jpg"><img class="size-full wp-image-259" title="wominfluence" src="http://www.virginiamiracle.com/wp-content/uploads/2008/10/wominfluence.jpg" alt="BIGResearch on WOM" width="488" height="189" /></a><p class="wp-caption-text">BIGResearch on WOM</p></div>
<p>As a WOM Marketing practitioner and general data hound, I love a good chart.  But why the ethnic overlay?  If we look at the data, there are slight differences in the groups, but so slight that I really can&#8217;t imagine they would compel a marketer to change investment decisions.  Would I be more likely to do a BzzAgent campaign if I am a restaurant with a largely White patronage just because they are 10 points more likely to be influenced by WOM recommentations?  Probably not.  &#8220;Eating out&#8221; was the #1 or a close #2 most influenced category across the board.</p>
<p>So are any of these differences meaningful? What does this data say to you?</p>
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