AJ Vaynerchuk is a 21 year old blogger who also dabbles in social media, marketing, and SEO. He spends most of his time on twitter (follow him!) and is excited for his internship at Revision3 this summer. If you'd like, learn more about AJ.
Mixing my two favorite things: Web 2.0 and Sneakers. Today is the Wine Library TV Web 2.0 Sneakers:
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Photo via Flickr, more specifically theleetgeeks
Big week for my brother Gary Vaynerchuk
You can find Gary on Twitter, his daily video blog Wine Library TV, and on his personal site Gary Vaynerchuk dot com.
Yesterday my brother appeared on Late Night with Conan O’brien
Today my brother’s first book, Gary Vaynerchuk’s 101 Wines Guaranteed to Inspire, Delight, and Bring Thunder to Your World came out.
Later tonight my brother will be appearing on Mad Money with Jim Cramer. Be sure to check it out on CNBC at 6pm and 11pm.
Again, later tonight my brother will be doing his first book signing in New York City at the Borders on Park Ave. That will be from 7-9pm.
Go Gary, you are the best brother and I, along with everyone else is so proud of you!
This is a follow up post for the Twitter Case Study: How We Click Links
The click breakdown seemed to directly relate to the order of links. “Breaking News” was the first link of the tweet, and thus received the most traffic. “New” was the last link, and thus received the least traffic.
This particular case study seemed to engage Twitter users and readers. After clicking the link, nearly every reader went on to read about the case study. AJ Vaynerchuk dot com’s bounce rate was a mere 29% compared to the average 62% bounce rate.
To truly make any deductions from this concept I would need more data ( a larger twitter following ). On top of that, the method may not have been most effective. The best way to have done this survey was to post one tweet with one buzz word on a certain day at a certain time. Then, repeat this process every week at the same time on the same day. Either way I felt that this would be an interesting mini-project and I definitely learned a thing or two from this!
The concept
I am posting a tweet with four links that point to different landing pages that in turn point to this blog post. From there, I will form a theory regarding link clicking habits on Twitter. Sure the data isn’t 100% perfect, but it shows insight in how individual’s first read buzz words and then in turn click links. Check back for a follow-up post tomorrow!
Update: Here is the Tweet:
