It considers signals like clicks, engaged views on YouTube, and interactions across Search, Display, Discover, Gmail, and Maps. The system uses machine learning to assign fractional credit, not just last-click, based on observed contribution to the final conversion. Conversion tracking tags, such as the Google tag and enhanced conversions, feed this data back into attribution models. Query logs show a user journey across channels, where every touchpoint is recorded and weighted. Over time, this helps Google refine which campaign actually influenced the conversion most accurately.