It is said that as an "old operator" who has been deeply involved in the cross-border e-commerce industry for many years, it is not only necessary to accurately and efficiently place Amazon advertisements, but also to have a very important skill, which is to effectively analyze the placement and see the results through data. The purpose of analyzing the effect of advertising is to better understand the entire advertising cycle and assist operations in adjusting advertising strategies. Data analysis can be used to solve the problem of "extensive advertising" and promote the process of refined operations. Therefore, it is necessary to merge data from all types of Amazon advertisements, calculate advertising operation indicators of different dimensions, and observe the changing trends of various indicators on the timeline, so as to judge the effectiveness of advertising delivery and improvement, and form early warning for abnormal indicators in a timely manner. The most important thing to analyze the effectiveness of advertising is to measure various dimensional indicators, such as: 1. Summarize data such as impressions, clicks, spending, orders, sales, etc. according to advertising campaigns, and use the summarized data to calculate multiple indicators such as CTR, CR, ACOS, ROSA, etc. After analyzing the data, the dashboard and filter configurations enable flexible switching of data viewing dimensions, so that key indicators and changing trends are clear at a glance, providing a lot of convenience for subsequent judgment work. 1. Some key indicators:
2. Abnormal data warning and strategy adjustment
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