This post discusses the moral debate that still permeates the industry, and suggests ways to look past that (and be a bit more modest in the process).
The way you understand monetization and the impact of monetization efforts has a direct impact on the way you go about optimizing your game. You don’t make players spend. You capitalize on an existing level of enthusiasm and engagement that exists among your players. That in turn means that when you are trying to improve your monetization, your main task should be to identify and recreate the situations that are the most conducive to spending.
In this post I explain why having a set of game-centric metrics is crucial to understanding how users are interacting with your game and tying your high-level product objectives with gameplay specific targets.
This post discusses how restricting access of some of the content in your game to customers can be a monetization strategy that is both rewarding for your users and pays off for you.
Knowing which questions analytics can and cannot answer is not a theoretical consideration. It has very practical consequences. Having a data-driven culture means knowing what type of questions data can answer, and what type of questions it can’t answer.
When your soft launch data is clear and you have a high degree of confidence in it, things are easy. But there are many factors that can make it difficult to have a clear reading of the performance of your game. This post discusses ways to deal with fuzzy soft launch data.