Whatnon-Google Ads signals are used to models to revisits?

The correct answer for the non-Google Ads signals used to models to revisits is"GPS,Wi-Fi,and network data from hundreds of millions of opted-in,signed-inusers."This option accurately describes the data sources leveraged by Google to models to revisits,emphasizing the use of location-based signals obtained from users who have opted in and signed into Google services.By analyzing GPS,Wi-Fi,and network data from these users,Google can track their physical movements and infer store visits based on their proximity to specific physical locations.This approach enables Google to generate insights into store visitation behavior at scale,providing advertisers with valuable information about the offline impact of their online advertising campaigns.By leveraging non-Google Ads signals such as GPS,Wi-Fi,and network data,Google can accurately models to revisits in a privacy-safemanner,ensuring that user privacy and data security are maintained while still delivering actionable insights for advertisers.Therefore,selecting GPS,Wi-Fi,and network data from opted-in,signed-in users as the non-Google Ads signals used to models to revisits aligns with industry best practices for measuring offline conversions and optimizing advertising strategies based on real-world consumer behavior.