Over the last few months Twitter (or the technology of micro-blogging) has marched its way to penetrate the mainstream and just like any new web technology that does this, we see a much wider base of users and then come the spammers. Even prior to this phenomenon there was a race to gain followers. Many felt that having a large number of followers would equate to being considered an “authority” and that messaging sent by these users would carry more weight. While in some cases that could be true, I feel that this is now more the exception than the rule.

This behavior seems to also have spread to other services  such as FriendFeed and Facebook causing a huge followfest along with the blaring volume of messages that accompany being at a huge party. I’m not saying this is a bad thing, but with this new behavior comes the need to find a way to manage how to still effectively listen to the people that matter to you. Luckily there are quite a few tools that allow us to do this fairly effectively by creating lists of people that we can filter by.

For Twitter we luckily have the two most popular tools both supporting lists in Tweetdeck and Seesmic. below I have screenshots of where those lists reside in each of the programs.

tweetdeck seesmic

(click for larger screenshots of Tweetdeck & Seesmic list functionality)


The same ability to create lists is also available in both FriendFeed and Facebook now as well

friendfeed facebook

(click for larger screenshots of FriendFeed & Facebook list functionality)

This post isn’t to show you how to setup lists in each of these tools but I will provide links to help you at the end of the post. So why am I showing you all of this? Because having a humongous follower count brings with it a tidal wave of data. It is becoming pretty clear that being followed alone isn’t enough anymore. If you want to be heard I think it’s going to become increasingly important to make it onto people’s lists.

A few months back I read a great post by Mike Fruchter titled My State of Social Media. In it Mike talks about the race to gain followers and states that “Lists are now the tool of choice for fake following”. While I disagree and feel that list management can be used in a way to follow a larger audience, it does glean perspective on whether or not people who follow you nowadays are listening.

Many folks cite the Dunbar number which states that you can really only effectively follow about 150 people. Others have chosen different approaches and just decided to clean house which is what Robert Scoble recently did by deleting all of his followers and starting from scratch again. Louis Gray found Robert’s tactic to be the wrong approach and provided insight as to why in his post to Jump on the massive unfollowing trend would be a mistake. Louis has shown me how he manages users on FriendFeed and he is a list managment ninja.  As you can tell by the way I’ve configured my tools and services I side more with Louis and also read about how Marshall Kirkpatrick manages people. Sure it takes quite a bit more work to have to create multiple lists and categorize people into them, but I feel it provides a  much more effective way to be able to make sure you can listen to them.

So how can you determine if or how well you are being heard? Well there are several good analytics tools that can help you figure that out. If you use a short URL service that offers the ability to see if people are actually clicking on the links you are sending out. I’m a fan of bit.ly which not only tells you how many clicks you got, but where they came from and over what period of time.

bitly

referrers

(referring sites from Google Analytics)

I can also find out if people are listening to me on various services when I send out notifications about new posts by looking at data in my web analytics program. I use Google Analytics but any of them will provide the info by looking at the referrer data.

Another fun thing that you can do with referrer data that I’ve only been able to glean from the traffic coming from FriendFeed is how people label you on their lists. Below is an image with a breakdown of 30 lists that people have placed me on where they clicked on my links to visit this blog. It has been interesting, enlightening and funny to see how some people have decided to classify me. This alone I believe provides pretty good evidence that I’m getting traffic specifically because people where able to find my links once they filtered my posts on their lists. There’s a good chance that otherwise, they may have never seen my posts come through their stream.

I think that the behavior of creating lists to filter people will continue to become a tactic used by many and as this continues to happen it will become important to make your way onto them or just get lost in their main stream.

ff_lists1

(the lists that people have put me on FriendFeed)

Here’s a few links to help you learn about list management with the tools I discussed:

email

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