When operating goods, product data analysis is something that many merchants have to do, especially the management level. It is impossible for them to check each account every day. They can only understand the operation of the store through daily data reports, but they will encounter the following problems. The daily sales volume of a single product is ten. Is this number too much or too little? The transaction volume of goods within a week reaches more than one thousand. Is this result good or bad? When should we increase the investment in advertising? When should we put it into storage? All these require merchants to judge, so how to judge? At this time, it is necessary to analyze the data of the product. So how should Amazon merchants analyze the data of products?
What data do Amazon sellers need to accumulate, and how to compare different data for analysis?
1. Determine the categories for comparison and accumulate horizontal data
The basis for accumulating data is to find the items for comparison. For e-commerce, sales volume and sales revenue are what every merchant needs to check every day. Putting aside the transaction volume, profit is the most important. The accumulation of horizontal dimensions refers to the dimension of time. The sales situation at different time points and time periods can only be compared to obtain effective data. For e-commerce, it is usually compared between this month and last month, and this week and last week.
Second, connect the data of different time dimensions in series and analyze the problem from the trend
For merchants, data is only a basis. The essence of the product should be analyzed through the phenomenon displayed by the data, and the correct decision should be made through the correct speculation of the data trend. A single data cannot show the situation of the product. It is necessary to connect multiple data in series and display them in the form of charts, preferably curve charts.
Third, link different project data and compare and draw conclusions
When comparing multiple data, there may be a growth trend, but at this time, it depends on how the increase is. The increase of a single product is compared with the increase of sales. Sometimes the increase in sales may be caused by price reduction, a larger profit margin for consumers, and more advertising investment. By comparing different data, useful results can be obtained.