Dynamic residential traffic can simulate the browsing behavior of real users, including clicks, scrolling, dwell time, etc., which allows AD verification systems to more accurately detect if an AD is seen by real users, rather than being disturbed by bots or fake traffic.This simulation helps to identify and filter invalid traffic and ensure that advertisers get real AD effectiveness data.

By using dynamic residential traffic, AD validation systems can test how ads are displayed across different geographic locations, devices, and network environments.This diversity of test environment helps advertisers understand advertising under different conditions, and optimizing advertising strategy, to improve the precision and the effect of advertising.

Dynamic residential traffic can help AD verification systems identify and prevent AD fraud. By analyzing the source and behavior patterns of traffic, the system can detect unusual traffic patterns, such as sudden traffic surges or unusual click-through rates, which are often signs of AD fraud.By finding and dealing with these problems in time, advertisers can avoid financial losses.

The detailed data and analysis results provided by dynamic residential traffic can help advertisers better understand AD effectiveness and user reaction.This information is crucial to optimize the allocation of advertising budgets. Advertisers can adjust their advertising strategies according to the actual results and focus their budgets on the most effective advertising channels and content, thus improving the return on advertising investment.