The big seller operations manager teaches you how to effectively analyze Amazon advertising in the new cross-border track!

The big seller operations manager teaches you how to effectively analyze Amazon advertising in the new cross-border track!

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.

1. Data Cleaning and Analysis

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.
2. Data visualization for real-time monitoring

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.
3. Optimize advertising strategies
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:
  • Advertising data: Focus on analyzing advertising exposure, click-through rate, conversion rate, cpc price changes and changes in the overall proportion of advertising orders.

  • Exposure: Exposure is the basis of our clicks and conversions. There is no need to say more. This is also the indicator we focus on.

  • Clicks and click-through rate (ctr): Clicks are closely related to our orders. Assuming that our product conversion rate is 10%, then one order is generated for every 10 clicks. We need to have enough clicks to reach our target advertising order volume.

  • Click-through rate: Click-through rate is one of the most core indicators of our advertising. The click-through rate of most products needs to be above 0.4%. If our product’s click-through rate does not reach this effect, it will be unqualified.

  • Conversion rate: Conversion rate is our ultimate goal, that is, according to the previous analysis of category issues through ranking, we increase our influence by observing QA, as well as product exposure and optimization of conversion rate, all of which ultimately serve the conversion rate.


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:
  • A data alert needs to be set when the conversion rate drops by more than a certain percentage, or the advertising cost increases by more than a certain percentage.


  • In terms of search term delivery, filter out search terms that have not been delivered but have reached a certain number of orders, conduct additional delivery, and observe their delivery effects in a targeted manner.

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