Age-Specific Model Segmentation

Imagine you are employed by a media organization. You are utilizing a Boosting algorithm on a dataset of user activities to forecast whether users will upgrade to a premium subscription. During the model training process, a colleague proposes dividing the model into two separate models: one tailored for older users and the other for newer users. Would this be a beneficial strategy? Please explain your reasoning.