In this post I discuss the differences between increasing your game’s revenue and increasing your users’ LTV
Author: Alexandre Macmillan
I'm a sociologist of technology and culture by training, and have been working at the cross of data analytics and product management in mobile games since 2014.
My PhD and following academic work focused on the way communication technology has contributed to different modes of socialization and cultural frameworks. Working with big data in mobile gaming has been a unique opportunity for me to conduct applied social research on a daily basis.
This blog is the opportunity for me to nerd out, bridge the gap between academia and industry, and share some of my insights on mobile games (and hopefully have those insights enriched and challenged)
Some key topics that interest me and that I treat in this blog are:
* What are some key behavior patterns that can be found across most mobile games?
* How can you leverage some of these common behaviors to design a better product?
* How does big data and the increased production of knowledge impact game making and larger organizational processes?
3 reasons to look at the cumulative spend of your active customers
This post discusses what the cumulative spend in your game is, and what that can mean for your day-to-day operations
Keeping track of your customer base
This post discusses ways to track your active customer base
Apple Arcade: first impressions and thoughts
My thought after using the Apple Arcade service for a few days
4 (actionable) ways to look at your daily active customers
4 alternative ways to look at your active customers (and monetize them better)
Thinking about daily active users (and the limitations of this metric)
If you have a live game, you need to be looking at the number of daily active users you have in your game. But that alone is not enough to let you know who your active users are – or how healthy your active userbase is
