Looking at engagement from a Live Ops perspective requires a specific set of tools. This post covers a few different thigs to keep in mind when assessing the engagement rate of your active users.
Category: Game KPIs and performance
In this section I discuss some behavior patterns common to most mobiles, and elaborate on some KPIs I’ve found useful to observe and analyze game performance. All graphs and numbers displayed here are for illustration purposes only, and are not actual numbers of any specific title.
Engagement, retention and commitment: how demanding is your game (or how committed are your users)?
This post considers ways to further evaluate the engagement of your userbase, and suggests ways to leverage that to optimize your game.
Spending is not always committing: day 0 conversion and churn
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.
How to monetize your users on install day?
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.
Your payers are converting fast (and you shouldn’t be looking at average time to convert)
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.
What timeframes should you be looking at?
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.
Alexandre Macmillan 