How to analyze AliExpress background data analysis?AliExpress background data analysis method

所有E-commerceThe ultimate goal of sellers is to increase transaction volume.

So, are the orders that come in every day quietly telling us some information that cannot be ignored?

Behind the information, which store's winning strategy was revealed to us?

This is what we are going to talk about today - what information can be obtained using AliExpress's background data analysis?

1. AliExpress selection

Sellers can analyze the data on the AliExpress platform to understand the industry supply and demand and the proportion of traffic, so as to gain competition and income in the first market in the industry.

The specific method is that sellers can refer to the national market and industry intelligence data in the context of AliExpress for analysis, so as to select high-quality products for sale.

2. AliExpress transaction data

The transaction data comes from the back-end background export of transaction data analysis.

AliExpress sellers conduct corresponding analysis according to the sales conversion formula.

Sales equals the number of visitors times the conversion rate, times the unit price per customer.

The data changes here are very intuitive and clear.

3. AliExpress store ranking

These data can most intuitively show the position of our store in the industry.

According to the transaction data on the 30th, AliExpress stores can be divided into small and medium sellers and total sellers.

Small and medium-sized sellers have a small number of products, and the main goal is to create popular products;

In addition to maintaining the existing sales volume of the store, the person in charge of the store also needs to create new popular products to usher in a new round of upsurge.

4. AliExpress transaction analysis

Use transaction analysis to determine whether the current product sales are down or up, the increase or decrease of commodities and the corresponding quantity changes. Under sufficient premise, this basis can be very accurate to determine the consumer composition model of a certain item in a certain country. The basis for formulating and improving marketing strategies.

Of course, different combinations of 90 dimensions, such as country, platform, product, price range, new and old buyers, and 7-day purchase volume, will also produce different data fluctuations, including different market information that has a certain reference value.

We need to focus more on analytics and applications.