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	<title>Web Analytics Blog by Sameer Khan &#187; Usability</title>
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		<title>Life Cycle Analytics: Shortening Sales Cycle Using Web Analytics Part I</title>
		<link>http://www.keywebmetrics.com/2011/11/life-cycle-analytics-shortening-sales-cycle-using-web-analytics-part-i/</link>
		<comments>http://www.keywebmetrics.com/2011/11/life-cycle-analytics-shortening-sales-cycle-using-web-analytics-part-i/#comments</comments>
		<pubDate>Mon, 21 Nov 2011 00:47:32 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Customer Engagement]]></category>
		<category><![CDATA[Human Element]]></category>
		<category><![CDATA[Usability]]></category>
		<category><![CDATA[Visitor Behavior]]></category>
		<category><![CDATA[Web Analytics Integration]]></category>
		<category><![CDATA[Web Analytics Segments]]></category>
		<category><![CDATA[Web Analytics Tools]]></category>
		<category><![CDATA[Web Analytics Training]]></category>
		<category><![CDATA[customer journey analysis]]></category>
		<category><![CDATA[enterprise analytics]]></category>
		<category><![CDATA[life cycle]]></category>
		<category><![CDATA[path to conversion]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=1068</guid>
		<description><![CDATA[Web analysis in most cases has always been about analyzing the web data. You can have all the powerful enterprise analytics tools you want and still be limited by the boundaries of most widely used analysis such as clickstream analytics, pathing analysis, and funnel visualization. It&#8217;s time for the web analyst to think beyond the<a href="http://www.keywebmetrics.com/2011/11/life-cycle-analytics-shortening-sales-cycle-using-web-analytics-part-i/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2011/11/life-cycle-analytics-shortening-sales-cycle-using-web-analytics-part-i/">Life Cycle Analytics: Shortening Sales Cycle Using Web Analytics Part I</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
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		<slash:comments>0</slash:comments>
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		<title>Page Speed Analytics: How to Improve Web Page Load Time &#8211; Part II</title>
		<link>http://www.keywebmetrics.com/2011/05/page-speed-analytics-how-to-improve-web-page-load-time-part-ii/</link>
		<comments>http://www.keywebmetrics.com/2011/05/page-speed-analytics-how-to-improve-web-page-load-time-part-ii/#comments</comments>
		<pubDate>Thu, 19 May 2011 03:53:33 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Misc.]]></category>
		<category><![CDATA[Tips & Tricks]]></category>
		<category><![CDATA[Usability]]></category>
		<category><![CDATA[page speed analytics]]></category>
		<category><![CDATA[site load time]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=947</guid>
		<description><![CDATA[In the last post, we talked about page speed tools and analytics. In this post, we will dig deeper and discuss how to improve page load time. If you are getting started with page speed analytics then Google&#8217;s page speed web app is the simplest tool to identify key underlying issue with your website load<a href="http://www.keywebmetrics.com/2011/05/page-speed-analytics-how-to-improve-web-page-load-time-part-ii/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2011/05/page-speed-analytics-how-to-improve-web-page-load-time-part-ii/">Page Speed Analytics: How to Improve Web Page Load Time &#8211; Part II</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Page Speed Analytics: How to Improve Web Page Load Time &#8211; Part I</title>
		<link>http://www.keywebmetrics.com/2011/04/page-speed-analytics-how-to-improve-web-page-load-time-part-i/</link>
		<comments>http://www.keywebmetrics.com/2011/04/page-speed-analytics-how-to-improve-web-page-load-time-part-i/#comments</comments>
		<pubDate>Sun, 03 Apr 2011 21:51:31 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Misc.]]></category>
		<category><![CDATA[Tips & Tricks]]></category>
		<category><![CDATA[Usability]]></category>
		<category><![CDATA[Web Analytics Basic]]></category>
		<category><![CDATA[Web Analytics Integration]]></category>
		<category><![CDATA[Web Analytics Tools]]></category>
		<category><![CDATA[Web Analytics Training]]></category>
		<category><![CDATA[page speed analytics]]></category>
		<category><![CDATA[page speed optimization]]></category>
		<category><![CDATA[seo]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=939</guid>
		<description><![CDATA[Web page speed optimization has become one of the most important components of the website optimization process. Google incorporates web page load time as one of the factors for organic rankings. Web Analysts should also include page speed KPIs in analytics reports and review the changes atleast twice a month. Page speed is the time<a href="http://www.keywebmetrics.com/2011/04/page-speed-analytics-how-to-improve-web-page-load-time-part-i/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2011/04/page-speed-analytics-how-to-improve-web-page-load-time-part-i/">Page Speed Analytics: How to Improve Web Page Load Time &#8211; Part I</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
]]></description>
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		<slash:comments>1</slash:comments>
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		<item>
		<title>Google vs Bing: Advanced SEO Analytics</title>
		<link>http://www.keywebmetrics.com/2010/06/google-vs-bing-advanced-seo-analytics/</link>
		<comments>http://www.keywebmetrics.com/2010/06/google-vs-bing-advanced-seo-analytics/#comments</comments>
		<pubDate>Wed, 09 Jun 2010 21:41:52 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Search Marketing]]></category>
		<category><![CDATA[Usability]]></category>
		<category><![CDATA[Visitor Behavior]]></category>
		<category><![CDATA[Web Analytics Basic]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=685</guid>
		<description><![CDATA[Search marketing is my second passion after web analytics and getting analytics insights on search/seo is pretty cool. Rand Fishkin (seomoz CEO), did a great presentation on search analytics comparison of Google and Bing at SMX Advanced Seattle. The session was about using data to show what are some of the key influencers of ranking<a href="http://www.keywebmetrics.com/2010/06/google-vs-bing-advanced-seo-analytics/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2010/06/google-vs-bing-advanced-seo-analytics/">Google vs Bing: Advanced SEO Analytics</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Measuring Content Effectiveness with Omniture SiteCatalyst</title>
		<link>http://www.keywebmetrics.com/2010/03/measuring-content-engagement-with-omniture-plugin/</link>
		<comments>http://www.keywebmetrics.com/2010/03/measuring-content-engagement-with-omniture-plugin/#comments</comments>
		<pubDate>Fri, 12 Mar 2010 23:44:16 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Customer Engagement]]></category>
		<category><![CDATA[Usability]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=569</guid>
		<description><![CDATA[Producing a ton of content and not knowing if web site visitors are consuming it can sometimes be really frustrating. Avg. time on site and time on page metrics can provide some insights into how engaging the web content is. These metrics are good to get a high level view of content usage and are<a href="http://www.keywebmetrics.com/2010/03/measuring-content-engagement-with-omniture-plugin/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2010/03/measuring-content-engagement-with-omniture-plugin/">Measuring Content Effectiveness with Omniture SiteCatalyst</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
]]></description>
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		<slash:comments>1</slash:comments>
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		<item>
		<title>Art of Measuring and Analyzing the Voice of Visitor/Customer Data</title>
		<link>http://www.keywebmetrics.com/2009/08/measuring-and-analyzing-voice-of-visitor-customer-data/</link>
		<comments>http://www.keywebmetrics.com/2009/08/measuring-and-analyzing-voice-of-visitor-customer-data/#comments</comments>
		<pubDate>Mon, 03 Aug 2009 00:42:48 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Customer Engagement]]></category>
		<category><![CDATA[Usability]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=275</guid>
		<description><![CDATA[The concept of Voice of the Visitor / Customer data analysis was originally developed by the promoters of Total Quality Management (TQM) back in early 1990s. VOC measurement involves analyzing qualitative data obtained from the customer’s through various methods such as feedback forms, questionnaires, surveys and polls and using this data to optimize product/services and<a href="http://www.keywebmetrics.com/2009/08/measuring-and-analyzing-voice-of-visitor-customer-data/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2009/08/measuring-and-analyzing-voice-of-visitor-customer-data/">Art of Measuring and Analyzing the Voice of Visitor/Customer Data</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
]]></description>
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		<slash:comments>0</slash:comments>
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		<title>5 Kick Ass Free/Cheap Voice of Visitor &amp; Usability Tools</title>
		<link>http://www.keywebmetrics.com/2009/05/five-promising-voice-of-visitor-usability-tools/</link>
		<comments>http://www.keywebmetrics.com/2009/05/five-promising-voice-of-visitor-usability-tools/#comments</comments>
		<pubDate>Fri, 29 May 2009 03:09:48 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Usability]]></category>
		<category><![CDATA[visitor voice]]></category>
		<category><![CDATA[voice of customer]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=162</guid>
		<description><![CDATA[Web Analytics can provide you all the information you need about the “what” and “how” piece of the visitor interaction on your website. Reports like goal completion, internal search keywords can tell you what visitors do on your website. Similarly, pathing report, next page and fallout report can be used to determine how visitors interact<a href="http://www.keywebmetrics.com/2009/05/five-promising-voice-of-visitor-usability-tools/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2009/05/five-promising-voice-of-visitor-usability-tools/">5 Kick Ass Free/Cheap Voice of Visitor &#038; Usability Tools</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
]]></description>
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		<slash:comments>2</slash:comments>
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		<item>
		<title>Using Web Analytics to Improve Web Content Quality and Usability</title>
		<link>http://www.keywebmetrics.com/2009/04/using-web-analytics-to-improve-web-content-quality-and-usability/</link>
		<comments>http://www.keywebmetrics.com/2009/04/using-web-analytics-to-improve-web-content-quality-and-usability/#comments</comments>
		<pubDate>Fri, 17 Apr 2009 22:53:10 +0000</pubDate>
		<dc:creator>Sameer</dc:creator>
				<category><![CDATA[Usability]]></category>

		<guid isPermaLink="false">http://www.keywebmetrics.com/?p=122</guid>
		<description><![CDATA[Content is the king on the Internet and there is no second thought about it. The web technology has changed a lot in last 2 decades but core theme of Internet is still the same…to provide value information using web content. Social media is becoming the new source of information and web masters are shifting<a href="http://www.keywebmetrics.com/2009/04/using-web-analytics-to-improve-web-content-quality-and-usability/">&#160;&#160;[ Read More ]</a><p><a href="http://www.keywebmetrics.com/2009/04/using-web-analytics-to-improve-web-content-quality-and-usability/">Using Web Analytics to Improve Web Content Quality and Usability</a> is a post from: <a href="http://www.keywebmetrics.com">Key Web Metrics &amp; Web Analytics Blog</a></p>
]]></description>
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		<slash:comments>2</slash:comments>
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