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. 2. Perform year-on-year and month-on-month calculations. 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. By measuring and analyzing various indicators from multiple dimensions and viewing the interactive dashboard, you can understand the real-time status of advertising. With the help of data warning reminders, you can optimize the advertising strategy for the next step. 1. Some key indicators:
2. Abnormal data warning and strategy adjustment It is also very important to support setting data warnings based on indicators and change rates calculated from various dimensions, which can remind us to optimize promotion strategies in a timely manner. Here are two examples where warning values need to be set:
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