What Google Analytics feature uses machine learning to measure unseen conversions?

The correct response is based on the understanding that conversion modeling leverages machine learning to enhance data collection regarding unseen conversions. In Google Analytics 4, conversion modeling employs advanced algorithms to predict conversion behavior, particularly in instances where direct measurement might not be possible, such as when users block cookies or when there are gaps in tracking due to privacy regulations.

By utilizing historical data, conversion modeling helps to estimate the total number of conversions that are likely occurring, thus providing marketers with a more accurate understanding of their conversion rates. This capability is particularly beneficial in an evolving digital landscape where privacy concerns limit traditional tracking methods.

In contrast, the other features mentioned do not utilize machine learning for measuring unseen conversions. Behavior flow primarily visualizes user paths through a website, while goal tracking and event tracking focus on specific actions within established parameters without including predictive capabilities inherent in machine learning.