What's an example of a key benefit of conversion modelling?

Conversion modeling uses machine learning to estimate conversions that cannot be directly observed due to privacy restrictions or technical limitations. By providing a more complete picture of conversion data, it allows advertisers to optimize campaigns and bidding strategies more effectively, leading to improved campaign performance and better return on investment. Incorrect options: Conversion modeling is designed to adapt to changing user behaviors and privacy landscapes, not to rely on a static, one-size-fits-all approach. Conversion modeling is most beneficial when a significant portion of conversions cannot be easily tied to ad interactions, helping to fill those measurement gaps. Conversion modeling is a privacy-enhancing measurement technique that helps maintain privacy-safe measurement, not eliminate the need for it.