What is a probabilistic conversion model?

A conversion rate model is a model that estimates the probability that a user will perform a target action (conversion), such as making a purchase or registration, based on various features and data.

In the context of machine learning and data analysis, such models use statistical methods to predict conversions, taking into account uncertainty and variability in user behavior. This helps optimize marketing campaigns, ad auctions, and personalization, increasing efficiency through more accurate targeting.

Example: a logistic regression model that takes user characteristics as input and returns the probability of conversion.