Author profile
Julian Runge
Head of Analytics & Data Science at Wooga.
8 min read
#Data & Analytics
Predictive analytics set to become more valuable in light of rising CPIs
Say you produce and market mobile apps for iPhones. You have 1 million active users in the US. Now what are these users economically worth to you? Let’s do a little thought experiment: Say you were to sell them all at market cost-per-install (CPI) to other mobile developers. In January 2012 that would have yielded 1.3 million USD – very roughly speaking and abstracting from transaction cost and economies of scale. The same thought experiment would have generated around 2 million USD in December 2012. And by now, it would generate a staggering 3.4 million USD for you [1]. That’s quite a change, isn’t it? The industry is consolidating. A few main players generate big revenues and spend big on user acquisition. The market is crowded with pretty good apps, marginalizing viral and organic growth. For developers with thin capital...
8 min read
#Data & Analytics
The Golden Curve: Determining Player Value in Freemium Apps
It is impossible to perfectly know the value of a user before they stop playing the game. You can only estimate it, i.e. make a statement about the probable value of a user. This is where the Golden Curve comes in, and Julian Runge tells you all about it in this article.