I predicted churn using 3 models: log regression, random forest and xgboost. The most accurate model at 81% is xgboost, post hyperparameter tuning. The idea is to identify at-risk individuals then e.g. upsell them via longer contract lock-ins, given that it's 5x more costly to acquire than to retain a customer.