根据模型估算转化对客户的公司有何益处？

Model-estimated conversions allow advertisers to measure campaign performance effectively even with data limitations due to privacy restrictions. This ensures that advertising efforts remain measurable and optimizable while respecting user privacy. By filling in measurement gaps, model-estimated conversions improve the accuracy of campaign reporting, enabling more efficient bidding strategies and better overall campaign optimization. The other options are incorrect because model estimation focuses on filling measurement gaps, not de-prioritizing users, directly identifying similar audiences (though it can inform audience insights), or enabling reverse engineering of algorithms.