Accurate delivery is a way of advertising. Through big data and refined user portraits, advertisements are accurately presented to the target audience, thus improving the efficiency of advertising display and audience conversion rate. Accurate delivery needs to use data analysis, artificial intelligence, machine learning and other means to collect user behavior data, analyze user portraits, and deliver advertisements according to the characteristics of user portraits, so as to accurately match user needs and integrate advertisements into users' lives to achieve the best results.

Accurate delivery is an important trend of digital advertising, which can help advertisers to better deliver media and improve the exposure and click-through rate of advertisements. As users' habits of using the Internet tend to be refined, advertisers also need to accurately locate different audiences and improve the efficiency of advertising. In addition, accurate delivery can also reduce advertising waste, avoid ineffective delivery and advertising bombing, improve the ROI of advertisers, and also meet the needs of users interacting with brands.

Accurate delivery is a promising and potential way of advertising, but there are also some challenges and risks. For example, advertisers need to rely on user data provided by third parties, and the data may be inaccurate; User privacy protection is also a problem that needs to be solved, so accurate delivery needs to follow relevant laws and standards to ensure legitimacy and sustainability. In the future, with the continuous innovation of technology and the change of users' usage habits of digital advertisements, accurate delivery is also expected to further improve advertising efficiency and user experience.