Which features make Smart Bidding a durable, privacy-safe solution?

Smart Bidding is a privacy-safe solution because it leverages machine learning to optimize bids in real-time auctions, focusing on conversions or conversion value. This process uses aggregated and anonymized data, rather than relying on individual user-level identifiers that are becoming increasingly restricted. By optimizing at the auction level with machine learning, it adapts to privacy changes by using contextual signals and historical performance trends without needing to track individual users across sites. The other options are incorrect because: While Smart Bidding does use signals, the explanation of "dozens of signals from user interactions" and "segmenting users into value segments" sounds more like general analytics or audience segmentation, not the core privacy-safe mechanism of Smart Bidding itself. "Creative practice" is irrelevant to Smart Bidding's privacy-safe nature; it describes ad creative optimization. "Attribution model" describes how credit is assigned to touchpoints, not the bidding mechanism or its privacy features.