This post considers ways to further evaluate the engagement of your userbase, and suggests ways to leverage that to optimize your game.
Some of your payers will churn after spending for the first time in your game. And payers converting on install day are those who churn the most.
This post tries to make sense of this, and further suggests how you can leverage this to understand conversion and monetization better, and design your monetization strategy accordingly.
Generally, users who convert on install day will be your highest paying customers. This post argues that your best payers don’t convert to be stronger, win more or progress faster. I also suggest ways to design your day 0 monetization with that in mind.
Looking at conversion from the perspective of time since install provides key insights into general conversion patterns. Very consistenly your paying users are converting soon after install. And if you look at average time to convert the data you are seeing might be misleading.
When you are in soft launch, you will be looking at multiple KPIs. But should you be looking at day 1, day30, day90? This post suggests a way to help you decide.
This post considers different ways to look at your active userbase. In particular, looking at how much your active userbase has spent in your game – what your active userbase is worth – can help you identify important changes in your game and think differently about the way your game monetizes.