Twitter Revisited: Shark Jumping, Apps and Metrics Podcast

On Sunday, Mike Qaissaunee and I recorded a 36 minute and 40 second podcast onTwitter applications, shark jumping and metrics.

Listen to it directly in your web browser by clicking here.

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Here's the intro and list of questions asked during the podcast:

Intro: Twitter has become a household word for many of us - just like Google , YouTube , MySpace and Facebook (among others) have in the past. Chris Brogan (in this video) even calls Twitter his "central nervous system". We first podcast on Twitter almost two years ago. In this podcast we take an updated look at Twitter.

Two years is a long time ago it seems. Probably one of the biggest things in my arsenal is my iPhone today. Two years ago the iPhone did not exist. What's changed in two years with Twitter?

What are some of your favorite apps?

What's up with all this Twitter following - how should we be handling?

I've been hearing the term "jump the shark" recently when some discuss Twitter. What does that mean?

I notice a lot of business people using Twitter, maybe it has jumped the shark. What are they doing? How are business people using it?

So, lots of people seem to be giving Twitter a try but how do we know who has actually drank the kool-aid and has become a daily Twitter user?

Before we talk about numbers, The Influential Marketing Blog has put together something called the 5 stages of Twitter Acceptance.

We talk a lot about impact when it comes to grants - can you explain what that means?

So, what's the interest in things like Twitter?

What are some Twitter measurement tools?

We've come across a couple of tools that attempt to measureTwitter - a web-based application called Twitter Grader and another called Twinfluence .

Twitter Grader is interesting but there is not a lot of detail. Can you discuss Twinfluence?

Didn't Twinfluence at one time try to measure efficiency?

So, Twinfluence attempts to measure more things. How does it compare to Twitter Grader?

What about spam?

So, what did this guy do?

How do metrics applications handle these spammers?

What can be done to prevent Twitter manipulation?

Are there any other Twitter based applications we should be looking at?

We should see applications like these improve?

So, has Twitter jumped the shark yet?

Here's how you can get the answers:

To read show notes and listen to Mike Q and my 36 minute and 40 second podcast titled Twitter Revisited: Shark Jumping, Apps and Metrics, click here .