Which benefits does conversion modeling bring to a client's business?

Conversion modeling uses machine learning to fill gaps in observed conversion data, particularly important in privacy-centric environments where direct tracking may be limited. This allows clients to maintain accurate measurement and attribution without compromising user privacy. By providing a more complete picture of conversions, it enables more efficient campaign optimization and bidding strategies, as the models can better predict user behavior and value. The other options are incorrect because: Conversion modeling is about applying existing models for better measurement, not about clients reverse-engineering algorithms to build their own. While it identifies similar users, the primary benefit is not just reaching an entire interest group, but rather improving measurement and optimization in a privacy-safe way. Conversion modeling does not deprioritize users based on reported performance; instead, it aims to provide a more holistic and accurate view of all conversions to improve overall campaign effectiveness.