Artificial intelligence and machine learning are fundamentally reshaping bid strategies, enabling more sophisticated real-time optimization based on predictive analytics of user intent and conversion likelihood. The demand for hyper-personalization across the customer journey now dictates bids, prioritizing users more likely to complete a purchase based on their history and context. Furthermore, evolving privacy regulations and the shift towards first-party data are compelling advertisers to adapt bid strategies to value proprietary audience insights more highly for effective targeting and retargeting. Cross-channel attribution models are becoming more advanced, moving beyond last-click to understand the full impact of various touchpoints, thus influencing bids across different platforms and ad formats. Finally, a growing emphasis on customer lifetime value (CLTV) is prompting advertisers to adjust bids not solely for immediate checkout success, but for acquiring customers with higher long-term potential. More details: https://www.tsma.org.tw/c/news_add.asp?news_no=5365&htm=https://abcname.com.ua