Social Media Return On Investment

What kind of Return can you expect from Social Media? The legitimacy of the answer has a lot to do with your mental model of the world. When I talked first in this space about it in January, I made the distinction between how Direct people and Brand people would answer the question. It turns [...]

Sep

27

The Twitter of Things

I started tweeting right around when I started blogging on analytics – between May 8 and May 18, 2008. It kicked off professional public speaking, intensified my contributions to the WAA, and pushed me even more into a weak tie among diverse communities. I knew most of my followers by name, and met with most [...]

Sep

21

An Original Contribution and DRY

There’s a DRY principle in programming, and one that is pervasive in RAILS-land: Don’t Repeat Yourself. The same should go for everybody. From commenting, blogging, to writing books. Repeating somebody’s work in its entirety is pretty unnecessary when a citation would do. What you build off others, how you do intellectual parkour and create something [...]

Sep

07

Calculating the Value of a Facebook Fan

I’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 [...]

Jun

11

Product Development and Evidence Based Marketing

So just what have I been up to? I’ve been dividing my time between a major initiative and product development. Much of my involvement revolves around Evidence Based Marketing – and it’s literally that deadly. It’s that level of sustainable competitive advantage. It’s like a Philosoraptor armed with an RPG, riding a shark. Yeaaaaaaaaaaah. The [...]

May

20

Topic Bearing WOM

I’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’s just go beyond the [...]

Apr

19

Making Sense of the Volume and Structure in Social Media Measurement

Social media data. Huge amount of volume. Huge amount of complexity and simplicity in structure. Time for a radical metaphor. It’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’ll see patterns and start associating events [...]

Mar

23

Sentiment Analysis

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.

Mar

08

The Complex Quest For Simplicity in Social Media Measurement

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…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 [...]

Mar

01

Community Seeking and Online Gaming in the Early 2000′s

Communities played an important part in the online gaming experience during the early 2000′s, and I think there are lessons in there for today. Time for a story. It’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 [...]

Feb

09

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