轉換模擬對客戶的業務有什麼好處？

Conversion modeling benefits clients by ensuring privacy-preserving measurement while enhancing campaign optimization and bidding efficiency. In scenarios where direct user tracking is limited (due to privacy regulations or user consent), conversion modeling uses aggregate data and machine learning to estimate conversions that cannot be directly observed. This allows advertisers to maintain a more complete understanding of campaign performance without compromising user privacy. The other options are incorrect because: "協助客戶將演算法進行反向工程並自行建立模型，進而從模型中學習" (Helping clients reverse-engineer algorithms and build their own models to learn from them) is not the primary purpose; conversion modeling provides insights, not tools for reverse engineering. "協助行銷人找出類似於轉換者的客戶，以便觸及整個興趣群組" (Helping marketers find customers similar to converters to reach entire interest groups) describes audience expansion or lookalike modeling, not the core function of conversion modeling. "將成效偏低的使用者降低順位，確保廣告活動在改善後能帶來卓越成效" (Demoting underperforming users to ensure excellent campaign performance after improvement) is related to audience segmentation or bidding strategies, not the fundamental benefit of conversion modeling.