Based on the data of the project management system planfix.com, we predict customers’ churn after the end of the trial version of the service. The selection of features significantly influencing the target variable has been made. To solve this problem, algorithms are used: logistic regression, decision trees, random forest; the characteristics of mathematical models are compared; preprocessing and model building is done in the programming language of R.