dizzysoft softwareFree Twitter Marketing Statistics
FeedTwit has recently made its Twitter statistics available for free.
FeedTwit is a free Twitter app that sends Twitter replies to its users as text messages. As it sends these messages, FeedTwit records statistics about them. These stats, updated on a weekly basis, show the most popular time of day and day of week people are using Twitter.
This is valuable information for anyone who is marketing on Twitter. From it you can time your marketing message to be most effective.
From these stats you can see that there are a couple of peaks throughout each day (all times are Eastern Time, US): Noon, 4pm, 8pm and Midnight.
Google Keywords and March Madness
I am a huge college basketball fan so naturally this is my favorite time of the year. This is probably because I went to the University of Kansas- a school who’s only coach with a losing record is James Naismith. My love of all things Jayhawk Basketball makes it hard to fill out my brackets in any objective way- somehow I always end up with Kansas winning the championship. That means I only predicted the national champion once since I was in Junior High School (the last time the Jayhawks won the National Championship).
Will Twitter make SEO obsolete?
Previously I mentioned how Twitter has helped me do SEO. But, in addition to link building, another advantage of Twitter for SEO is in the connections I’ve made. I have met a lot of people in my city who are involved in SEO through Twitter. With these connections I have learned a lot, helped a little, and even made a couple friends. The other day I went to an SEO meet-up (that I heard about through Twitter) and met a couple Twitter friends. One asked the other why he didn’t show up at a lunch meeting earlier in the day and I was able to answer the question. It’s not that I am stalking SEOs through Twitter- its just that Twitter keeps me connected with other SEOs.
Twitter, Social Bookmarking and SEO
A couple weeks ago I wrote a couple articles about Twitter and SEO. The first article was an overview of Twitter and SEO. The second article discussed link building using Twitter.
Since I wrote those articles I tried an additional SEO experiment with an article that introduced my Twitter statistics. I mentioned the same article on Twitter three times- once as a regular tweet, the second by using Digg’s url shortener, and the third using Sphinn. In each case I used my Twitter statistics and posted the article on Twitter during the ideal time of day. I wanted to know which would give me the most exposure to my page and give me the most SEO benefit.