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	<title>ChristopherBerry.ca &#187; Social Media Measurement</title>
	<link>http://christopherberry.ca</link>
	<description></description>
	<lastBuildDate>Thu, 29 Jul 2010 18:09:34 +0000</lastBuildDate>
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		<title>WAW Toronto, July 28</title>
		<description><![CDATA[The next WAW Toronto will be on July 28. It&#8217;s being held on the second floor of Bar Wellington. It&#8217;s free to attend and You can sign up to attend here.
The invite:
&#8220;Developers make it possible to measure anything, statisticians and  dataminers work models, IAs finesse interfaces, analysts mash and  managers action. Effective Analytics [...]]]></description>
		<link>http://christopherberry.ca/2010/07/waw-toronto-july-28/</link>
			</item>
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		<title>Calculating the Value of a Facebook Fan</title>
		<description><![CDATA[I&#8217;ve been heads down with the team for awhile pounding out a study examining the value of a Facebook Fan.
The results of that study were presented at Internet Week on Friday morning and can be downloaded here.
I have hopes.
I hope it throws some wind into the sails of people who are doing good social media [...]]]></description>
		<link>http://christopherberry.ca/2010/06/value-of-a-facebook-fan/</link>
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		<title>Product Development and Evidence Based Marketing</title>
		<description><![CDATA[So just what have I been up to?

I&#8217;ve been dividing my time between a major initiative and product development. Much of my involvement revolves around Evidence Based Marketing &#8211; and it&#8217;s literally that deadly. It&#8217;s that level of sustainable competitive advantage. It&#8217;s like a Philosoraptor armed with an RPG, riding a shark. Yeaaaaaaaaaaah.
The most interesting [...]]]></description>
		<link>http://christopherberry.ca/2010/05/product-and-evidence-based-marketing/</link>
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		<title>Topic Bearing WOM</title>
		<description><![CDATA[I&#8217;m increasingly disturbed by the accuracy of Topic Bearing Word of Mouth (WOM) algorithms.
A previous study, published in this space, expressed dissatisfaction with standard sentiment analysis. My mind has since turned to the difficulty in expressing massive amounts of WOM into simple metrics that are actionable and decomposable.
So let&#8217;s just go beyond the realm of [...]]]></description>
		<link>http://christopherberry.ca/2010/04/topic-bearing-wom/</link>
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		<title>Making Sense of the Volume and Structure in Social Media Measurement</title>
		<description><![CDATA[Social media data. Huge amount of volume. Huge amount of complexity and simplicity in structure.
Time for a radical metaphor.
It&#8217;s like the night sky.
With the naked eye, you can see thousands individual dots of light.
And, humans being human, if you look long and hard enough, you&#8217;ll see patterns and start associating events with those patterns.
See below. [...]]]></description>
		<link>http://christopherberry.ca/2010/03/making-sense-of-the-volume-and-structure-in-social-media-measurement/</link>
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		<title>Sentiment Analysis</title>
		<description><![CDATA[The Syncapse Measurement Science team put together an experiment on sentiment analysis, as applied to social media measurement.
As promised:
Link to the White Paper:
syncapse-sentiment-analysis
Link to the Data Set:
The Geurilla Analytics Project _ Sentiment
The paper will speak for itself.
We can discuss it here and on Twitter.
]]></description>
		<link>http://christopherberry.ca/2010/03/sentiment-analysis/</link>
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		<title>The Complex Quest For Simplicity in Social Media Measurement</title>
		<description><![CDATA[The Quest for Simplicity in Social Media Measurement (#smm) is one that will dominate the year.
Trying to produce something simple out of something complex is&#8230;complex.
There are seven axioms that are guiding a lot of my thought in dealing with that complexity:
1. The purpose of analytics is to derive competitive advantage for the organization / firm [...]]]></description>
		<link>http://christopherberry.ca/2010/03/the-complex-quest-for-simplicity-in-social-media-measurement/</link>
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		<title>Community Seeking and Online Gaming in the Early 2000&#8217;s</title>
		<description><![CDATA[Communities played an important part in the online gaming experience during the early 2000&#8217;s, and I think there are lessons in there for today.
Time for a story. It&#8217;ll be fun and egregiously self-deprecating.
My first Real Time Simulation (RTS) game was Age of Empires I, back in 1998 or so. And I loved playing it online. [...]]]></description>
		<link>http://christopherberry.ca/2010/02/community-seeking-and-online-gaming-in-the-early-2000s/</link>
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		<title>Social Media Return on Investment &#8211; A reply to Jim Novo</title>
		<description><![CDATA[Jim Novo wrote in response to the last post:
This is an interesting line of thought Christopher, perhaps I can help with a bit of a framework. And you’re right, product is the root of Marketing decision making. I hope my attmept at a chart below makes it through the CMS without breaking…
Brand for any product [...]]]></description>
		<link>http://christopherberry.ca/2010/02/social-media-return-on-investment-a-reply-to-jim-novo/</link>
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		<title>Social Media Return On Investment</title>
		<description><![CDATA[I&#8217;ve been fairly obsessed as of late with quantifying Social Media Return on Investment, or sROI for short.
At the root of the issue is a clash of belief systems.
Marketing thought is dominated by two rather large models of thinking. You have the Direct Paradigm and you have the Brand Paradigm. By Paradigm, I mean simply [...]]]></description>
		<link>http://christopherberry.ca/2010/01/social-media-return-on-investment/</link>
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