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	<title>Comments on: Match-Type Analysis</title>
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	<link>http://www.clickequations.com/blog/2008/12/match-type-analysis/</link>
	<description>A Long Hard Look At Paid Search Marketing Strategies, Tactics, and Tools</description>
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		<title>By: Craig Danuloff</title>
		<link>http://www.clickequations.com/blog/2008/12/match-type-analysis/comment-page-1/#comment-826</link>
		<dc:creator>Craig Danuloff</dc:creator>
		<pubDate>Fri, 19 Dec 2008 23:42:46 +0000</pubDate>
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		<description><![CDATA[Yes Martin, I&#039;ve thought of that. Trending these aggregate statistics is a bit of a challenge, but worth figuring out. Probably before trending will be a simple compare to prior period - this month vs last month. That&#039;s pretty easy to add to these current versions.&lt;br&gt;&lt;br&gt;The next set we&#039;re building do change alerts - so you can see day/day or week/week where you&#039;ve had moves in quality score, AveCPC, ave POS and other metrics. Also working to combine the best of all these into a few pages of dashboards for quick-rich-status views.]]></description>
		<content:encoded><![CDATA[<p>Yes Martin, I&#39;ve thought of that. Trending these aggregate statistics is a bit of a challenge, but worth figuring out. Probably before trending will be a simple compare to prior period &#8211; this month vs last month. That&#39;s pretty easy to add to these current versions.</p>
<p>The next set we&#39;re building do change alerts &#8211; so you can see day/day or week/week where you&#39;ve had moves in quality score, AveCPC, ave POS and other metrics. Also working to combine the best of all these into a few pages of dashboards for quick-rich-status views.</p>
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		<title>By: Martin Perron</title>
		<link>http://www.clickequations.com/blog/2008/12/match-type-analysis/comment-page-1/#comment-825</link>
		<dc:creator>Martin Perron</dc:creator>
		<pubDate>Fri, 19 Dec 2008 22:42:23 +0000</pubDate>
		<guid isPermaLink="false">http://www.clickequations.com/blog/?p=680#comment-825</guid>
		<description><![CDATA[Hi Craig - &lt;br&gt;&lt;br&gt;Nice visual display of match type distribution across a campaign. I wonder if trending the % on daily basis would be interesting to see if a campaign has a growing dependance on a specific match type. &lt;br&gt;&lt;br&gt;Well done!&lt;br&gt;&lt;br&gt;Martin]]></description>
		<content:encoded><![CDATA[<p>Hi Craig &#8211; </p>
<p>Nice visual display of match type distribution across a campaign. I wonder if trending the % on daily basis would be interesting to see if a campaign has a growing dependance on a specific match type. </p>
<p>Well done!</p>
<p>Martin</p>
]]></content:encoded>
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		<title>By: Craig Danuloff</title>
		<link>http://www.clickequations.com/blog/2008/12/match-type-analysis/comment-page-1/#comment-239</link>
		<dc:creator>Craig Danuloff</dc:creator>
		<pubDate>Fri, 19 Dec 2008 18:42:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.clickequations.com/blog/?p=680#comment-239</guid>
		<description><![CDATA[Yes Martin, I&#039;ve thought of that. Trending these aggregate statistics is a bit of a challenge, but worth figuring out. Probably before trending will be a simple compare to prior period - this month vs last month. That&#039;s pretty easy to add to these current versions.&lt;br&gt;&lt;br&gt;The next set we&#039;re building do change alerts - so you can see day/day or week/week where you&#039;ve had moves in quality score, AveCPC, ave POS and other metrics. Also working to combine the best of all these into a few pages of dashboards for quick-rich-status views.]]></description>
		<content:encoded><![CDATA[<p>Yes Martin, I&#39;ve thought of that. Trending these aggregate statistics is a bit of a challenge, but worth figuring out. Probably before trending will be a simple compare to prior period &#8211; this month vs last month. That&#39;s pretty easy to add to these current versions.</p>
<p>The next set we&#39;re building do change alerts &#8211; so you can see day/day or week/week where you&#39;ve had moves in quality score, AveCPC, ave POS and other metrics. Also working to combine the best of all these into a few pages of dashboards for quick-rich-status views.</p>
]]></content:encoded>
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		<title>By: Martin Perron</title>
		<link>http://www.clickequations.com/blog/2008/12/match-type-analysis/comment-page-1/#comment-238</link>
		<dc:creator>Martin Perron</dc:creator>
		<pubDate>Fri, 19 Dec 2008 17:42:23 +0000</pubDate>
		<guid isPermaLink="false">http://www.clickequations.com/blog/?p=680#comment-238</guid>
		<description><![CDATA[Hi Craig - &lt;br&gt;&lt;br&gt;Nice visual display of match type distribution across a campaign. I wonder if trending the % on daily basis would be interesting to see if a campaign has a growing dependance on a specific match type. &lt;br&gt;&lt;br&gt;Well done!&lt;br&gt;&lt;br&gt;Martin]]></description>
		<content:encoded><![CDATA[<p>Hi Craig &#8211; </p>
<p>Nice visual display of match type distribution across a campaign. I wonder if trending the % on daily basis would be interesting to see if a campaign has a growing dependance on a specific match type. </p>
<p>Well done!</p>
<p>Martin</p>
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