Posts tagged as:

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Why Joining 38,943 People is Bad

Nov. 5, 2009

Copyblogger is among the blogs I’ve read for about 18 months. Not every day, not every week; but it’s always among my list of subscribed and go-to sites for useful advice. I’m a Brian Clark groupie.
His writing aside, I don’t approve of his focusing on the number of people following him on Twitter as a [...]

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Twitter Grading Over 30 Days

Nov. 1, 2009

One month ago, I explained why applications like Twitter Grader were meaningless, including the following example:
Returning to twitter.grader.com/ariherzog now, I see:
Let’s see what happens in another month.

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Social Media: Banning vs Blocking

Oct. 29, 2009

I am sorry I have to write this but it appears some of the leading technology journals are unable to agree on the difference between a ban and a block. If I didn’t know better, some editors might think the two verbs are synonyms.

The facts
On October 6, 2009, IT staffing firm Robert Half International released [...]

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Proof Why Twitter Statistical Applications Fail

Oct. 14, 2009

There are dozens–hundreds?–of Twitter statistical applications, but they all fail.
The presumption with every statistical program is the username being tracked is a new name, but in my reincarnated Twitter example, I have a new name that is the same as an older name–and the applications assume I never changed.
For instance, Tweet Stats shows me this [...]

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How to Increase Google Results 35% in 20 Months

Oct. 7, 2009

Twenty months ago (in this blog post), I ego searched my name on Google and discovered 621 results.
I spy 21,900 results today.

It wasn’t an overnight sensation, but a time honored tradition of commenting and being interviewed on other people’s blogs and frequently churning fresh content here.
Randomly glancing through the months…
Aug. 20, 2008: A comment I [...]

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Curious Why Twitter Rank is Meaningless?

Oct. 2, 2009

My last blog post summarized why I deleted my Twitter account and started fresh. To follow-up, here’s why Twitter ranking tools are meaningless–with a comparative focus on HubSpot’s Twitter Grader application.
According to HubSpot’s blog, the grade is algorithmically determined by six factors:
1. Number of Followers: More followers leads to a higher Twitter Grade [...]

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Poll Indicates Tweeters Prefer Attribution

Sep. 26, 2009

If you wrote something and @Mary tweets about your content without mentioning your name, do you care?
Such was a question I posed on a Twitter poll yesterday. The results speak for themselves.

The poll was the result of a 24-hour Twitter conversation I had with Josh Peters. You can read it here in reverse chronological order:

Initiating [...]

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