Tweet Visualizations, Panda 2.2, and The Perfect Landing Page – The Monday June 20th Roundup | Cardinal Path Blog
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Tweet Visualizations, Panda 2.2, and The Perfect Landing Page – The Monday June 20th Roundup

So we had a bit of a kerfuffle in Vancouver last Wednesday. A little riot.  Fortunately few people were hurt, and the only critical case was a guy who jumped (not thrown nor pushed) off the viaduct. However it brought out a lot of anger from Vancouverites, sad to see their city self immolate with a raging heat of drunkenness, dissatisfaction, and general will to destroy.

Then, like waking from a heavy night out, the city rose, cleaned itself, and went to work. Our day of destruction over, and barely a hangover to go with it.

Welcome to Vancouver, folks. Where even our darkest is just another shade of grey.

Anyhow, this week also brought some excitement from the web, with Inspired Mag showing how to create visualization maps out of tweets (something I wish I had the forethought to do before the riot), suggestions of Google’s Panda 2.2 update, tracking repeat customers, and how to make a perfect landing page.

Create

  • We start the week with a super cool how to from Inspired Mag on creating geovisualization web apps from tweets. Twitter, it seems, collects and geocodes tweets, so with some minor coding you can pull this data out and display tweets on a Google Maps based map. Very, very cool.

Attract

  • Social media Today has a  “right on”  post today entitled Your Facebook “Friend Requests”: Bad for Business… Annoying to Me! which, rightfully, complains about  businesses who are still using personal pages instead of organization pages, then trying to “friend” users in order to get them on board. This is so totally the wrong way to do it, it’s wrong in every which way, shape, or form. There are so many advantages to using corporate pages, including not annoying me with friend requests.
  • Search Engine Roundtable believes that this weekend we saw the Panda 2.2 rollout last week, and has summaries of a bunch of peoples reactions to it. Some people are seeing their traffic back, others  seeing further drops.

Analyze

Optimize

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