How to include rare events in modeling?

I am running few XGB , RF models to predict the user spend. I have few features and their occurrence is very small in the sample space(95% of times they are null) but the 5 % times when they are populated the user have high propensity to spend. How can I include this information into the model without doing any sort of imputation?

datascience events features modeling null running sample small space spend