I have been thinking about the best ways to analyze Twitter this month. While doing so, I have run across several websites that attempt to measure and quantify the activity on Twitter for individuals or brands.
One of the analytics programs that I looked at is Twitalyzer. Twitalyzer claims to “measure your impact and success in social media.” This is a bold claim and Twitalyzer accomplishes part of the claim, and also has some interesting ways of looking at how an individual or brand is viewed in Twitter as noted below in my Twitalyzer analysis:
Tom Humbarger on Twitalyzer
Here are short definitions of each measure that Twitalyzer uses in their analysis:
Influence – in Twitalyzer, influence is measured by the number of followers you have, your relative authority measured by the number of times that you are “retweet”, your relative generosity measured by the number of times you “retweet” others, your relative clout measured by the number of times that you are referenced by others and your relative velocity measured by the number of updates published over a 7-day period.
Signal to Noise Ratio – Twitalyzer defines signal as any update that includes references to other people (use of the @username), links to URLs, hashtags, retweets of other people’s tweets. My signal to noise ratio is astonishingly high because 3/4’s of my tweets generally include a link to an interesting article or blog post that I want to share with others and is a function of how I like to use Twitter.
Generosity – Twitalyzer’s measure of generosity is based on the ratio of retweets you pass along to all updates you publish
Velocity – is simply the rate at which you contribute to Twitter
Clout – Twitalyzer’s definition of clout is simply the number of references to you divided by the total number of possible references
Overall, Twitalyzer provides some great concepts here and interesting ways of looking at Twitter data. I like the format and presentation too, and for now the service is available for free. For now, their product is limited by limitations of the Twitter API and there is not any way to automate the process if you want to view trends other than manually running your analysis on a weekly basis. In any case, Twitalyzer is a good start and definitely worth looking at – but it is not going to meet all of your analytic needs.
For more on the background of Eric Peterson who is developing Twitalyzer, here is an interview of Eric by Rebecca Lieb from last month at the Econsultancy blog.
Let the exploration continue…