The problem with these models is that you have to be careful that your are not modeling something that incorporates a trend. And if you have any kind of season

The problem with these models is that you have to be careful that your are not modeling something that incorporates a trend. And if you have any kind of seasonality you a dataset with a large enough timeframe. (At least more than a year.) Nonetheless, LightGBM and xgboost are also commonly used in the insurance sector. They are still somewhat problematic for conversion rates in a highly dynamic market though.