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What type of data does Smart Bidding use to optimize toward business goals?

• Second-party data
• Third-party data
• Google data
• First-party data

 

Explanation:

Smart Bidding uses first-party data to optimize toward business goals. This type of data, which includes conversion data such as sales or leads, is collected directly from interactions with a business’s own properties. By leveraging first-party data, combined with Google’s machine learning algorithms, Smart Bidding can set precise bids in each auction, enhancing performance while maintaining privacy compliance.

 

Which of the following describes FLEDGE most accurately?

• Calculates users’ top five most frequented topics based on the participating sites they’ve visited.
• Matches conversion events to the initial ad logged, giving it partial credit.
• Measures user behavior online and replaces third-party cookies.
• Supports re-engagement with users based on their actions on a website or app.

 

Explanation:

FLEDGE (First Locally-Executed Decision over Groups Experiment) supports re-engagement with users based on their actions on a website or app. It allows advertisers to show ads to users who have previously expressed interest in a product without tracking their behavior across different websites. This privacy-preserving technology stores remarketing list membership locally on the user’s browser or device and uses on-device auctions to determine which ads to display, ensuring user privacy.

 

Which of the following are three use cases for the Privacy Sandbox?

• Gaining customer consent
• Re-engaging audiences
• Performance measurement
• Interest-based advertising

 

Explanation:

The Privacy Sandbox supports several key advertising use cases. It helps in re-engaging audiences through the FLEDGE API, measures performance with the Attribution Reporting API, and facilitates interest-based advertising via the Topics API. These technologies are designed to protect user privacy while enabling effective advertising strategies by providing tools that replace traditional third-party cookies.

 

What are the key trust levers to gain user’s trust?

• Personalization
• Security
• Usefulness
• Control
• Transparency

 

Explanation:

To gain users’ trust, it is essential to focus on security, transparency, control, and usefulness. Security involves protecting personal information and ensuring data safety. Transparency means being clear about data usage practices. Control allows users to manage their data preferences easily. Usefulness ensures that data usage translates into relevant and beneficial experiences for users. These levers help build a trustworthy relationship between businesses and users.