I’ve been working on a variety of tools that use my ReTweet Mapper as a foundation, like The ReTweetability Index. But the coolest one of them all will be ReTweet.net.
I’ve had most of this code written for quite a while, but I’ve been too busy to finish it enough to release it. So I pulled out some of the basic functionality and made a little teaser version just to see what everyone thinks about it.
This version of the tool allows you to enter the URL of a page or blog post you’d like to have ReTweeted and receive suggestions of highly ReTweetable related words to add to your content and use when Tweeting said…
I tend to look at social and viral marketing on a campaign level, evaluating viral marketing campaigns as a whole instead of individual components. For me, viral marketing science is all about figuring out what and how things spread, as opposed to the more general “how communities interact online,” and so the science comes in when various elements are interacting with each other and with the audience.
It is important to note that this does not mean that viral marketing is purely tactical; on the contrary, there is a great deal of strategy present in how these campaigns fit into a brand’s overall marketing mix. The science is in hitting…
Alex Bogusky is co-chairman of Crispin Porter + Bogusky, or CP+B as those in the know like to say, a large advertising agency best known for edge-pushing viral marketing. As such, they’re also one of the few ad agencies whose work I admire. CP+B has won a slew of awards; they were recently named Creativity’s Agency of the Year and have collected a handful of One Club Pencils in just a few years.
After a short stint on Twitter, Alex publicly quit the micro-blogging service, saying it “wasn’t for him.” Intrigued by his thoughts on ReTweeting, I asked him to do an email interview.
Dan Zarrella: I’m a huge fan of the viral work CP+B has done,…
Now that my ReTweet mapping system is functioning, I’m able to start compiling more granular data on the actual dynamics of the spread of ReTweet streams.
First, I’ll start with some simple averages. For the first 3 numbers –depth, users and Tweets, I’m looking at entire ReTweet streams, that is the whole tree, starting with the original Tweet and all of the subsequent ReTweets. What we see here is that the large majority of ReTweet streams only contain 2 levels of depth, that is ReTweets of the initial Tweet do not themselves produce further ReTweets. They also tend to only include two participating users (the original Tweeter and the ReTweeter) and two individual Tweets. From this, we begin…
I started collecting ReTweets a few weeks ago and have collected just over 84,000. I’m working on a system that will allow for mapping and analysis of ReTweet streams (sneak peak below), but in building that, I’ve already uncovered some interesting data.
Contrary to what I initially thought, “RT” is used more than 4 times more often than the full word “retweet”.
ReTweets occur at an average rate of around 258 per hour, and show a distinct increase during the work day and early evening.
Retweets contain the word please over 5 times more often than most tweets.
Retweets are generally longer than…
