Tagged optuna
User churn model
Predicting inactivity using activity, and the lack thereof
Digital media rely on user activity to determine marketable audiences. Being able to predict churning users allow for retention efforts to be put in place. In this project, I defined churn as a 30-day streak of a logged-out state, or 30-day streak of non-listenership.
Ad Request Optimisation
Increased profit margins by limiting ad requests to profitable observations.
Supply-Side Platforms manage ad space by deciding which instances of web traffic would be good to show ads to; however, not all traffic is profitable, and sending these instances to the auction (real-time bidding) can be costly.