100% of your installs play the first session. Maximizing the user’s first contact with your game is crucial. In this week’s post I argue you should design your tutorial and first session with 2 main goals in mind: get users to come back to play a second session and get users to convert.
Users converting soon after install are your best customers. And those users are your biggest fans. You don’t cause them to convert in your game, and you can’t use difficulty or friction to get them to make their first purchase. The best way to get your conversion numbers up is to be proactive very early after install and showcase aspirational offers. It’s not about utility or a functional understanding of value.
This week I suggest ways to leverage data to get better insights into what is driving your user behavior. In order to build the best games, you need to understand what your users’ motivations are. A hypothesis-driven use of data is the way to go for that.
This post considers different ways to keep your soft currency balances under control – and discusses some interesting features out there that can help you overcome some common challenges.
Ben Reiter’s book on the Houston Astros depicts the culture of data that helped win the 2017 World Series. The Astros are a great example of an organization that knew when to rely on data, and when (and why) to trust their gut. “Astroball” is a great book that provides some interesting insights for baseball fans – and also for anyone wrestling with how and when to use data in their decision process.
Game as service is not just about adding content. It’s about serving the needs of users. And that has implications for the way you design and monetize your game.