Detailed explanation of the merchant star level and customer classification rules of Alibaba International Station

Merchant star level analysis

Star level classification

Alibaba International Station provides merchants with two star rating displays: rated star rating and predicted star rating.

• Rating star rating: Displays the star rating for the current month, corresponding to the data at the end of the previous calendar month. This data will remain unchanged within the first five days of the next month.
• Predicted star level: The level shown is the current day, the data is updated daily, and the website statistics will be delayed for about two days.

Transaction amount requirements

In order to improve the star rating of the transaction conversion section, the credit protection transaction volume needs to reach a certain amount. The transaction volume requirements corresponding to each star rating are as follows:

• One star: at least $25,000
• Two stars: at least $100,000
• Samsung: at least US$300,000

Statistical logic

The statistical logic of credit protection transaction volume in the last 90 days includes:

• The calculation date is 90 days backward from the statistical date. Considering the delay in data statistics, the actual calculation range will be two days in advance.
• Exclude false trading orders.
• Orders whose pending balance ratio does not meet the requirements will not be counted.

Customer segmentation rules

Canton Fair Customer Classification

The Canton Fair divides customers into several main categories:

• Priority service targets (old customers): Customers who have already established cooperative relationships should give priority to their orders and project confirmations.
• Key follow-up targets (potential customers): Customers who have participated in the exhibition multiple times but have not concluded a transaction must continue to communicate and provide relevant information.
• Taking advantage of the situation: Customers who come to the booth to inquire about prices or observe competitors should actively contact them to seek cooperation opportunities.
• Design partners: Partners looking for design inspiration or promotional gifts need to demonstrate their design capabilities to attract such customers.

Classification of cross-border e-commerce customers

Cross-border e-commerce companies usually divide them into different levels based on customer behavior and feedback:

• Level 1: Customers who have completed transactions or are about to complete transactions.
• Level 2: Customers who are interested in the product and have clear intentions.
• Level 3: Customers who have expressed only general interest.
• Level 4: Customers with no clear intentions or incomplete information.

RFM model application

RFM model is used to evaluate customer value, based on the three dimensions of last purchase time (Recency), purchase frequency (Frequency) and consumption amount (Monetary):

• Recency: Divide the levels according to the length of time since the latest purchase, such as <15 days is R1 level, 16~30 days is R2 level, etc.
• Frequency: Determine the level based on the number of purchases, for example, >10 times is F1 level, 5~9 times is F2 level, etc.
• Monetary: Classification based on the total consumption within a period of time, such as ≥180 US dollars for M1 level, 100~180 US dollars for M2 level, etc.

Through the combination of the above dimensions, customers can be segmented into multiple groups for targeted marketing strategies.

The above information integrates relevant content about Alibaba International Station Star Rating, Canton Fair customer classification and cross-border e-commerce RFM model application, aiming to help enterprises better understand and manage their customer resources.