The objective of this thesis is to develop a tool for marketing specialists in a game studio to improve the prediction of revenue generated by players acquired through marketing campaigns. The thesis will involve retrieving and analysing player data from a database, as well as its preprocessing, alongside an analysis of the game to identify key factors influencing player behaviour. The outcome will be an interactive tool which assists marketing specialists in making decisions regarding campaign optimisation and budget allocation. The tool will present the data to the marketing specialist in a useful way. The thesis also involves training of a predictive model that, based on early player behaviour, tries to estimate their potential to generate revenue (through adverts and in-app purchases).