Rules of SHEIN Ranking List

I. Introduction of SHEIN Ranking List
SHEIN ranking list is a leaderboard calculated based on real consumer data of a massive amount of products within the platform. Through an authoritative algorithm model, high-quality and cost-effective products on SHEIN are selected to provide consumers with the most credible consumption guidance, reduce decision-making costs, and make shopping choices simpler.
II. Data positioning of SHEIN Ranking List
Real: Real consumer data of a massive amount of products on SHEIN
Fair: Comprehensive ranking based on multi-dimensional algorithm models, rejecting competitive ranking
III. Sorting rules of SHEIN Ranking List
1.Best Sellers: Calculated based on sales volume, sales revenue, and other indicators, updated daily
2.Top Rated: Calculated according to the comment score and sales volume of products, updated daily
3.Most Favorited: Calculated based on the number of collections and sales volume of products, updated daily
4.Most Popular: Calculated according to the sales volume trends of products in the recent 7-14 days, updated daily
5.Best Seller Of New Arrival: Calculated based on new products' sales volume, sales revenue, and other indicators, updated daily
IV. Supplementary explanation
Q: What is the data basis for the label data on each type of ranking list?
Days at the top of the list for XX consecutive days: The number of days that the product has ranked at the top of the list during the recent 10 natural days;
Top three for XX consecutive days: The number of days that the product has ranked in the top three of the list during the recent 10 natural days;
Q: Why do best-selling products with a higher ranking on the list have lower sales volumes than those with a lower ranking?
A: All types of SHEIN ranking lists are scored comprehensively based on multiple indicators, and sales volume is just one of them.
Q: Why is the same product's ranking on different lists not the same?
A: The same product's ranking on different lists may be different due to the following reasons:
(1) Ranking list data is updated daily. You might have seen different pages at the time when the data was updated.
(2) The same product might be included in different types of lists, and the ranking rules in different types might be different. You might have seen the product ranked on multiple different types of lists.