Twitter Agency

Updates from garyphayes RSS

  • 10:12:07 pm on October 29, 2008 | 3 | # |
    Tags: , , , , , ,

    Here is a little formula I just cooked up called the Tweet-GQ (Tweet Gary Quotient) that works out a Twitter rating. To be considered as a valuable system to be used on top 100s etc. Before I go into explanation, here is the secret formula

    ( ((Following/3)+Followers) x (Followers/Updates) ) / 10

    This takes into account the raw numbers of followers weighted over following. More importantly it then has an critical multiplier – that of how many updates you do in relation to the followers you generate. So simply, it rewards high numbers of followers but also takes into account how many tweets or updates it took you to get that many followers.

    So a few examples at moment – SilkCharm 72, Trib 31, Lee 34, NickHodge 17, Gary 22, malburns 4, mpesce 45, andrewbarnett 6, stilgherrian 6, kcarruthers 11 and JonoH 5 …

    To do this yourself without needing a degree in pure math (or an online calculator – to be done by someone). Here is a simple 3 step DIY version…

    1. Divide followings by 3 and then add this to followers – write the number down
    2. Divide followers by updates – write the number down
    3. Multiply the two numbers above and divide by ten – et voila. Your very own TweetGQ

    Shoot me down in flames or raise me on your shoulders :)

     

  • 09:03:37 pm on October 2, 2008 | 1 | # |
    Tags: , , , , , , ,

    Twitter, like any ‘live’ web (3.0) environment (http://twurl.nl/ccwlr2), is about being real, in real time and realistic about it’s capability in the overall mix. Twitter is the 100m in the Social Media Olympics, there are many other events if you are to be a web 2.0 decathlete. Furthermore…

    Agencies and corporations need to develop individuals with integrity and personality (http://twurl.nl/4folsb) who transparently represent their company, are persistent and consistent but are also capable of being human and not afraid to make mistakes.

    I am always amazed at the evolution of the web and how now the ‘community’ can identify artificiality from a 100 paces. The worse thing any individual or corporation can be is, not themselves as it will come back to bite you. The rewards for doing the opposite are spectacular.