Traditional advertising methods often rely on experience and intuition, making it difficult to accurately measure the effectiveness of their output, resulting in wasted resources and poor results. As market competition intensifies, advertisers have a higher demand for ad effectiveness evaluation and data-driven decision-making, and are in urgent need of a tool that can provide full-process data analysis.

However, the traditional Excel tool is no longer applicable due to its limited data processing capability. The limitation of data processing has caused problems such as difficulty in synchronizing and updating, complicated procedures, difficult program settings, and low operational efficiency, which has led to more and more inefficiency in advertisement placement management.