|Saturday Feb 21 16:59:52 2009 - View on Facebook...|
UPDATE: Success! After 3.5 days, here are the Google results for 'piratizer':
A sneak preview of Piratizer in action is coming soon :).
Wouldn't it be cool if you could take a picture of your friends with your iPhone and it would recognize their faces and automatically turn them into pirates? A couple of my friends and I thought it would, so we got to work on a new iPhone app called Piratizer.
The app is still weeks away from being complete, so the site is currently only a teaser. When it does launch, it's important that the number one web search result for "piratizer" returns our site rather than any of the random things it returns right now. To make that happen we need to seed the web with links to the Piratizer iPhone app web site several weeks in advance.
In case you haven't figured it out, that's what this post is about :). If you're a human reading this, then you can move along - there's not much to see here. If you're a crawlbot, welcome! Please crawl all the links in this post, particularly the ones to piratizer.com.
First, the obligatory chart of App Store sales:
As you’d expect, sales saw a big boost after getting publicity, and then dropped back off afterwards.
Many sites include “via” links as a way to give credit to the people they got some content from. It’s interesting to plot these links in and see how content spreads through the blogosphere. Here’s a link graph, with solid lines indicating confirmed “via” links, and dashed lines representing my best guesses as to how the content spread:
The next interesting bit of data is to look at YouTube’s new “Video Insight” feature, which tracks a lot of data about how your videos are viewed. The view count graph is about what you’d expect: a huge spike and then near-total falloff:
The YouTube viewer demographics are more interesting:
I was surprised at the age range: well more than half of the YouTube viewers were over 35 (I would have expected the majority to be under 30). The gender breakdown is 90% male, 10% female - I am actually a little surprised it was skewed this much. Both of these statistics probably have more to say about Wired & Gizmodo readers than they do about YouTube viewers or iPhone owners (since the vast majority of YouTube views came from embeds on those two sites).
The last bit of interesting data I have is from the hits directly on my CubeCheater web site. Here’s the graph of daily pageviews, which shows a spike similar to the others, though its shape is slightly different:
The HTTP referrers also reveal some interesting tidbits:
Surprisingly, Yahoo is by far the #1 referrer, most likely due to the fact that the Yahoo Games article did not include an embedded YouTube video: it was the only one which prominently linked to the CubeCheater website directly.
The vast majority of search keywords during this period were either cubecheater or cube cheater. For these terms at least, Google Search apparently has about 20 times the traffic of either Yahoo Search or Live Search.