Those clever sparks over at MobileOrchard are at it again: there’s a fascinating new series in progress on App Store data mining which is worth checking out. Two articles in it so far:
App Store Data Mining Techniques Revealed – Part 1
The App Store is a treasure trove of data. App Store data can help you pick a category/segment, track trends, find the right price point, chart the total number of apps, track the rate of app approval and much more…
As is almost always the case, this is best explained with an example. I’ll use a straightforward example to: let’s calculate the average selling price (ASP) for the top grossing apps…
Part 2: Scripting App Store XML Downloads
In part one, we used a proxy as a man in the middle to save a copy of some interesting data from an iTunes session to disk. Using a proxy is handy for ad-hoc data mining tasks. However, for recurring tasks, it’s handier to leave the proxy and iTunes behind and grab the XML directly. This article will show you how…
So hey, if there’s something you want to know, there’s how to go get it!
And while we’re on the subject of MobileOrchard, we’d like to draw to the attention of your holiday spirit their current blegging campaign, which leading by example we’ve kicked in $50 to — hey, the amount of their content we nick for posts here, that’s the least we could do!
OK, so what actually got us to shell out was looking at all the goodies on offer for your donation, and noting that $50 was significantly less than the cost of Accessorizer and the eddit icon set both of which we’d been meaning to get around to buying sometime; and that’s just the start of it. So skip the high-minded sentiments or sense of obligation, if your tool chest needs rounding out the $50 is a great deal on its own merits!
DEC