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	<title>Comments on: Custom Ad Split Testing for PPC</title>
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	<link>http://www.denver-ppc.com/ad-split-testing-techniques/</link>
	<description>How to Manage Pay Per Click Advertising</description>
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		<title>By: Chris Lude</title>
		<link>http://www.denver-ppc.com/ad-split-testing-techniques/comment-page-1/#comment-128</link>
		<dc:creator>Chris Lude</dc:creator>
		<pubDate>Wed, 03 Sep 2008 22:44:25 +0000</pubDate>
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		<description>Here are some specific points to consider when performing the ad analysis:

1.  analysis by CTR is the default.  Many clients don&#039;t have sufficient conversions to make a meaningful analysis by conv.  Even if a client does, in such cases, our analysis should be by CTR and by Conv!!
   2. you have to show All Ads line!!  Is a CTR of 1.46% good?  Who knows!!!!!!  Without an All line, we don&#039;t have a basis for comparing the ads! 
   3. You have to find positive attributes as well as negative attributes!!!!  Half the attributes should be shown above the All line, and half below the All line!!
   4. the quality of your analysis will depend on how cleverly you select the attributes!!  Find a logical theme each month, and build your analysis around that.
   5. select the longest possible representative period (sometimes this will be all time) on which to base your analysis.</description>
		<content:encoded><![CDATA[<p>Here are some specific points to consider when performing the ad analysis:</p>
<p>1.  analysis by CTR is the default.  Many clients don&#8217;t have sufficient conversions to make a meaningful analysis by conv.  Even if a client does, in such cases, our analysis should be by CTR and by Conv!!<br />
   2. you have to show All Ads line!!  Is a CTR of 1.46% good?  Who knows!!!!!!  Without an All line, we don&#8217;t have a basis for comparing the ads!<br />
   3. You have to find positive attributes as well as negative attributes!!!!  Half the attributes should be shown above the All line, and half below the All line!!<br />
   4. the quality of your analysis will depend on how cleverly you select the attributes!!  Find a logical theme each month, and build your analysis around that.<br />
   5. select the longest possible representative period (sometimes this will be all time) on which to base your analysis.</p>
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		<title>By: Continuously Improve PPC Ad Text &#124; Denver PPC</title>
		<link>http://www.denver-ppc.com/ad-split-testing-techniques/comment-page-1/#comment-19</link>
		<dc:creator>Continuously Improve PPC Ad Text &#124; Denver PPC</dc:creator>
		<pubDate>Sat, 24 May 2008 11:18:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.denver-ppc.com/?p=11#comment-19</guid>
		<description>[...] are a number of ways to perform ad split testing, and this is explained separately.  The bottom line is, don&#8217;t be too mechanical in your [...]</description>
		<content:encoded><![CDATA[<p>[...] are a number of ways to perform ad split testing, and this is explained separately.  The bottom line is, don&#8217;t be too mechanical in your [...]</p>
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