A Social Media Consultant named Mack Collier holds a weekly blog chat on Twitter. This Sunday evening forum gives users an opportunity to discuss various Social Media issues. Users review content via the #blogchat hashtag.
I took 71 page transcript from an April 2009 blog chat, coded each of 988 tweets among 131 users, and categorized each user into one of four Social Media user segments, based on behavior exhibited during the chat.
Why not give the analysis a read, and let me know your thoughts about the analysis and findings. There are many different ways to analyze Social Media activity, this is one attempt with potentially actionable findings for companies looking to participate.
Click Here For The 71 Page Blog Chat Transcript.
Click Here For My Analysis Of 988 Tweets Among 131 Users.
Helping CEOs Understand How Customers Interact With Advertising, Products, Brands, and Channels
Subscribe to:
Post Comments (Atom)
Switching Up Creative
A large e-commerce brand sent me forty (40) consecutive email marketing messages featuring a percentage off message above the fold. Interest...
-
It is time to find a few smart individuals in the world of e-mail analytics and data mining! And honestly, what follows is a dataset that y...
-
It's the story of 2015 among catalogers. "Our housefile performance is reasonable, but our co-op customer acquisition efforts ar...
-
Ok, we all know that as we spend more we get more customers, but at an ever-diminishing rate of return. The diminishing rate of return is wh...
This is a very interesting analysis - as ever, predictable imbalance rules. But I do like the way you have segmented by behaviour.
ReplyDeleteKevin - An innovative approach to assessing what is really going on in social media. Reminds me of the different types of people you see in focus groups. It also reminds me of this article I saw entitled "8% of Internet Users Account for 85% of all Clicks" at http://www.mediapost.com/publications/?fa=Articles.showArticle&art_aid=115210&lfe=1.
ReplyDelete