Predicting Customer Lifetime Value in Free-to-Play Games
Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › peer-review
This is especially true in the context of free-to-play games, where the absence of a pay wall and the erratic nature of the players' playing and spending behaviour make predictions about the revenue and allocation of budget and resources extremely challenging.
In this chapter we will present and overview of customer lifetime value modelling across different fields, we will introduce the challenges specific to free-to-play games across different platforms and genres and we will discuss the state-of-the-art solutions with practical examples and references to existing implementations.
|Title of host publication||Data Analytics Applications in Gaming and Entertainment|
|Publication date||18 Jun 2019|
|Publication status||Published - 18 Jun 2019|
|Series||Data Analytics Applications|