Google has launched a new update to its Google Signals feature. This update now supports cross-device AI conversion modeling. The change helps advertisers better understand how people interact with their ads across different devices. Users often switch between phones, tablets, and computers. Google Signals tracks these actions while keeping user privacy in place.

(Google’s Google Signals Enables Cross Device AI Conversion Modeling.)

The system uses aggregated and anonymized data. It does not identify individual users. Instead, it looks at patterns across many users. This lets marketers see the full path a customer takes before making a purchase. For example, someone might see an ad on a phone, then later buy on a laptop. Google Signals connects those dots.

This update builds on Google’s existing privacy-safe measurement tools. It replaces older methods that relied more on cookies. Cookies are becoming less reliable as browsers block them. Google’s AI-driven approach works without needing to follow a single user across devices. It uses machine learning to predict likely behaviors based on group trends.

Advertisers using Google Ads will see more accurate conversion reports. They can now measure results from campaigns that reach people on multiple screens. This is important because most shopping journeys happen on more than one device. The new modeling gives a clearer picture of what really drives sales.

(Google’s Google Signals Enables Cross Device AI Conversion Modeling.)

Google says this change is part of its long-term plan to support privacy-focused advertising. The company continues to move away from tracking individuals. It focuses instead on protecting user data while still giving useful insights to businesses. The cross-device AI conversion modeling is now available to all Google Ads users who have Google Signals turned on.