When operators solve business difficulties through “experience-based operation”, they will encounter the first problem: should they maintain the current business scale and make stable profits, or expand the team to improve the business ceiling? If the answer is the latter, then operators or managers will inevitably encounter problems with personnel training and business process standardization.…
When a store is just opened or a team is just established, an experience-driven operation method is the only choice to solve the sales dilemma. This is because in the early stages of business development, operators simply cannot obtain a large number of order data for reference and analysis, nor can they implement product selection,…
Amazon’s cross-border e-commerce industry has been developing for many years. In the initial stage of the industry, there was no systematic content and tutorials in the industry, which led to many practitioners only being able to “cross the river by feeling the stones” and slowly accumulate experience. After a period of time, some of these…
When analyzing the ranking distribution trend of products, if the ranking values under the search results are directly visualized, it is difficult to obtain effective information from the generated chart (because the ranking values of different products fluctuate too much, some products have very good sales and the ranking is in the single digits, and…
Manual collection, as the name implies, is the operator collecting data on the Amazon platform through the basic “copy and paste” method. It is generally used for Amazon search exposure page data and product detail page data. The advantages of manual collection are no technical threshold, flexibility and convenience, and the disadvantage is low efficiency.…
Although operators can directly obtain a large amount of product information through the Amazon platform, the historical dynamic data of each listing can only be obtained by relying on third-party tools. The so-called dynamic data can be understood by operators as “time series data”, which refers to data collected at different times. This type of…
Before conducting data analysis, operators need to clean the collected data sets, otherwise the results of data analysis will be inaccurate due to the presence of outliers. Taking the data in the “Product Portrait” Excel file as an example, operators can use the “Filter” function of Excel to check whether there are outliers in the…
Product portraits can be simply understood as labels for massive amounts of data. According to the differences in the attributes of the products, they are divided into different types, and then typical features are extracted from each type, giving them descriptions such as name, price, and category. Product portraits have important application value in multiple…
The differentiation of the US market is first reflected in the population structure and consumption capacity. As early as the 1940s, the United States began to enter an aging society. From 1959 to 2018, the proportion of the elderly population over 65 years old in the United States increased from 9.08% to 15.81%, and the…
Open the Excel file named “Product Portrait”. The data table has 13 dimensions, including “Sequence”, “Product Title”, “Rating”, and “Number of Ratings”, with a total of 19,152 ASIN data. These ASINs are the top 400 pages of products under the search keyword “Sort by: Featured” in the “Clothing, Shoes & Jewelry” category “dress” on the…