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	<title>Comments on: Social Media Analytics: Twitter: Quantitative &amp; Qualitative Metrics</title>
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	<link>http://www.kaushik.net/avinash/social-media-analytics-twitter-quantitative-qualitative-analysis/</link>
	<description>Digital Marketing and Analtyics Blog</description>
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		<title>By: Avinash Kaushik</title>
		<link>http://www.kaushik.net/avinash/social-media-analytics-twitter-quantitative-qualitative-analysis/#comment-515861</link>
		<dc:creator>Avinash Kaushik</dc:creator>
		<pubDate>Wed, 11 Jan 2012 18:57:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/?p=2150#comment-515861</guid>
		<description>&lt;strong&gt;&lt;font color=blue&gt;Kunal: &lt;/font&gt;&lt;/strong&gt;There is a very famous quote: &quot;If you can&#039;t measure it, you can&#039;t manage it.&quot;

There might be some corner cases where committing resources to a channel, any channel, without measurement might be ok. I&#039;m afraid I don&#039;t see a lot of those. Especially in our current world where some basic measurement is fast and cheap (from both a resource and tool perspective).

So you don&#039;t have to have the most sophisticated measurement plan before you jump into social, but not having some plan might not be prudent. Even for the smallest company.

Avinash.</description>
		<content:encoded><![CDATA[<p><strong><font color=blue>Kunal: </font></strong>There is a very famous quote: &#034;If you can&#039;t measure it, you can&#039;t manage it.&#034;</p>
<p>There might be some corner cases where committing resources to a channel, any channel, without measurement might be ok. I&#039;m afraid I don&#039;t see a lot of those. Especially in our current world where some basic measurement is fast and cheap (from both a resource and tool perspective).</p>
<p>So you don&#039;t have to have the most sophisticated measurement plan before you jump into social, but not having some plan might not be prudent. Even for the smallest company.</p>
<p>Avinash.</p>
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		<title>By: Kunal Kapoor</title>
		<link>http://www.kaushik.net/avinash/social-media-analytics-twitter-quantitative-qualitative-analysis/#comment-515783</link>
		<dc:creator>Kunal Kapoor</dc:creator>
		<pubDate>Tue, 10 Jan 2012 10:22:12 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/?p=2150#comment-515783</guid>
		<description>Suppose I do not have the money to invest on any tools to measure my org&#039;s engagement on social media (let us assume, twitter)... is it then worth the investment to &#039;market&#039; using this channel. 

I think your answer may be a big No, in case it is a partial yes, can you tell us a little more about &#039;how to&#039;?</description>
		<content:encoded><![CDATA[<p>Suppose I do not have the money to invest on any tools to measure my org&#039;s engagement on social media (let us assume, twitter)&#8230; is it then worth the investment to &#039;market&#039; using this channel. </p>
<p>I think your answer may be a big No, in case it is a partial yes, can you tell us a little more about &#039;how to&#039;?</p>
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		<title>By: Five top tips for a new Social Media ‘practitioner’ &#124; The Wall Blog</title>
		<link>http://www.kaushik.net/avinash/social-media-analytics-twitter-quantitative-qualitative-analysis/#comment-514519</link>
		<dc:creator>Five top tips for a new Social Media ‘practitioner’ &#124; The Wall Blog</dc:creator>
		<pubDate>Mon, 05 Dec 2011 09:00:19 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/?p=2150#comment-514519</guid>
		<description>[...] 
3.  Learn how to measure Success (and Failure)
Unfortunately we all have limited resources.  Fortunately we can measure, enabling us to learn what works (do more!) and what doesn’t (do less or modify).  Web analytics itself is a HUGE topic.  I’d start with two key blog posts from Occam’s Razor (one of the best blogs in the industry): Beginners guide to Web Analytics and Social Media Analytics. Remember, although it’s important to follow your ‘gut instinct’, it never hurts to measure and track what works for your community (tying back to your business objectives).
[...]</description>
		<content:encoded><![CDATA[<p>[...]<br />
3.  Learn how to measure Success (and Failure)<br />
Unfortunately we all have limited resources.  Fortunately we can measure, enabling us to learn what works (do more!) and what doesn’t (do less or modify).  Web analytics itself is a HUGE topic.  I’d start with two key blog posts from Occam’s Razor (one of the best blogs in the industry): Beginners guide to Web Analytics and Social Media Analytics. Remember, although it’s important to follow your ‘gut instinct’, it never hurts to measure and track what works for your community (tying back to your business objectives).<br />
[...]</p>
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		<title>By: Tracking the KPIs of Social Media &#124; SEOmoz</title>
		<link>http://www.kaushik.net/avinash/social-media-analytics-twitter-quantitative-qualitative-analysis/#comment-509604</link>
		<dc:creator>Tracking the KPIs of Social Media &#124; SEOmoz</dc:creator>
		<pubDate>Wed, 07 Sep 2011 11:07:57 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/?p=2150#comment-509604</guid>
		<description>[...] 
All of these metrics are showing the growth, reach and traffic-level impact of my Twitter activity, but none of them help with the full-lifecycle tracking shown above. In an ideal world, I&#039;d want to see the bottom-line impact of my Twitter interactions, but this is very challenging to achieve. Luckily, Google&#039;s Analytics evangelist, Avinash Kaushik, wrote a great post on tracking Twitter here, which can serve as further reference. 
[...]</description>
		<content:encoded><![CDATA[<p>[...]<br />
All of these metrics are showing the growth, reach and traffic-level impact of my Twitter activity, but none of them help with the full-lifecycle tracking shown above. In an ideal world, I&#039;d want to see the bottom-line impact of my Twitter interactions, but this is very challenging to achieve. Luckily, Google&#039;s Analytics evangelist, Avinash Kaushik, wrote a great post on tracking Twitter here, which can serve as further reference.<br />
[...]</p>
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	<item>
		<title>By: How to reach 700 Facebook fans for one person company? — Journal</title>
		<link>http://www.kaushik.net/avinash/social-media-analytics-twitter-quantitative-qualitative-analysis/#comment-506774</link>
		<dc:creator>How to reach 700 Facebook fans for one person company? — Journal</dc:creator>
		<pubDate>Thu, 16 Jun 2011 12:39:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/?p=2150#comment-506774</guid>
		<description>[...] 
 The more you listen, the more people contribute and engage. Eventually, for my wife’s page, we spend maybe couple hundred dollars and reached to 700 people overtime, and increased the awareness twice compared to without the Facebook effect. Site visits are taking into account for this metrics. For you, it may be totally different depending on your strategy. For Twitter metrics, read what Avinash has to say. (read his blog for many other important stuff as well)
[...]</description>
		<content:encoded><![CDATA[<p>[...]<br />
 The more you listen, the more people contribute and engage. Eventually, for my wife’s page, we spend maybe couple hundred dollars and reached to 700 people overtime, and increased the awareness twice compared to without the Facebook effect. Site visits are taking into account for this metrics. For you, it may be totally different depending on your strategy. For Twitter metrics, read what Avinash has to say. (read his blog for many other important stuff as well)<br />
[...]</p>
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		<title>By: Métricas útiles en twitter « Davidjguru's Weblog</title>
		<link>http://www.kaushik.net/avinash/social-media-analytics-twitter-quantitative-qualitative-analysis/#comment-504991</link>
		<dc:creator>Métricas útiles en twitter « Davidjguru's Weblog</dc:creator>
		<pubDate>Fri, 06 May 2011 19:57:16 +0000</pubDate>
		<guid isPermaLink="false">http://www.kaushik.net/avinash/?p=2150#comment-504991</guid>
		<description>[...] 
[5]http://klout.com 
[6]http://export.ly and http://www.kaushik.net/avinash/2009/11/social-media-analytics-twitter-quantitative-qualitative-analy... http://en.wikipedia.org/wiki/Twitter 
[...]</description>
		<content:encoded><![CDATA[<p>[...]<br />
[5]http://klout.com<br />
[6]http://export.ly and <a href="http://www.kaushik.net/avinash/2009/11/social-media-analytics-twitter-quantitative-qualitative-analy.." rel="nofollow">http://www.kaushik.net/avinash/2009/11/social-media-analytics-twitter-quantitative-qualitative-analy..</a>. <a href="http://en.wikipedia.org/wiki/Twitter" rel="nofollow">http://en.wikipedia.org/wiki/Twitter</a><br />
[...]</p>
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