App revenue forecasting is a tough task involving complicated data pre-processing and analysis and choosing the proper models and metrics.

In this guide, we will discuss and suggest a number of ways to predict revenue, looking at models for several use cases:

• a CatBoost model;
• a linear regression model;
• a coefficient model; and
• an extrapolation model based on a logarithm.

You will learn to use raw data, pre-process it and prepare it for analysis, as well as choose models and properly assess them using your metrics.