Store visits are modeled using which non-Google Ads signals?

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

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


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: Store visits are modeled using which non-Google Ads signals?


Explanation: The correct answer is **the fourth option**: **GPS, Wi-Fi, and network data from hundreds of millions of opted-in, signed-in users**. This answer is correct because it accurately describes the non-Google Ads signals used to model store visits. Google employs advanced technology to track users' physical movements through GPS, Wi-Fi signals, and network data from users who have opted in and signed in to Google services. By leveraging this anonymized and aggregated location data from a vast user base, Google can estimate when individuals who have interacted with online ads subsequently visit physical store locations. This modeling process helps advertisers understand the offline impact of their online advertising efforts and provides valuable insights into the effectiveness of their campaigns in driving foot traffic and offline conversions. Additionally, Google prioritizes user privacy and ensures that all data collection and modeling processes are conducted in compliance with privacy regulations, safeguarding user information while still delivering valuable measurement insights to advertisers. Therefore, relying on GPS, Wi-Fi, and network data from opted-in, signed-in users is a reliable and privacy-conscious method for modeling store visits and assessing the offline impact of online advertising activities.

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