What non-Google Ads signals are used to model store visits?
- Interaction with a location extension or affiliate location extension
- GPS, Wi-Fi, and network data from hundreds of millions of opted-in, signed-in users
- Interaction with an online ad then a visit to the physical store location
- Third party vendors that provide data from hundreds of millions of opted-in, signed-in users
Explanation:
The correct answer for the non-Google Ads signals used to model store visits is ‘GPS, Wi-Fi, and network data from hundreds of millions of opted-in, signed-in users.’ This option accurately describes the data sources leveraged by Google to model store visits, emphasizing the use of location-based signals obtained from users who have opted in and signed in to 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 model store visits in a privacy-safe manner, 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 model store visits aligns with industry best practices for measuring offline conversions and optimizing advertising strategies based on real-world consumer behavior.