kicking my analytics habit

Before setting up this website and releasing Planet Lettra, I barely existed on the web.  Even now my presence is very modest.  This difference, however, is that the public interaction with that modest presence is highly quantified. Analytics are everywhere and I find it so compelling to stare at that data, slicing and dicing it by territory, time and more.  I can look at page views and downloads of Planet Lettra on iTunes Connect, engagement with Facebook posts, website visits and outbound clicks to iTunes on, clicks on Facebook Ads (or mostly lack thereof), video views on YouTube and Vimeo.

Sales of Planet Lettra fluctuate a lot.  Some days I’ll get only one or two downloads and others 30, which is a good day by my current standards (I’m getting about 60 downloads a week currently)  When that happens, it almost always means a school or teacher has bought the app for a classroom set of iPads. From time to time, however, it means the app was reviewed somewhere new and the reviewer didn’t give me a heads up before posting (which is fine, of course). Either way, that little spike in my sales gives me a tiny kick of joy and sends me off trying to figure out what has happened.  It is fun but totally unproductive.

I’ve started a new app project, a timed word-choosing game for iPhone and Android phone, that I’m developing in Corona SDK.  It’s a sort of warm-up to a much more ambitious app (or probably a small suite of apps) that will also be multi-platform:  with this project, I’m learning Lua and getting familiar with Corona SDK, getting set up for distribution on Google Play, working out some ideas about using XML files in the model layer of my games.  I want to release v1.0 of this app before our family trip to Japan this summer and that will take some focus.  Pouring over my analytics is bad for focus, so I have a new rule:

Thou shalt not look at analytics data before completing 4 hours of new work. Only then canst thou have a 15 minute data snack.

I’ll let you know how it goes.