For new sellers, in addition to mastering how to upload listings and doing basic product listing work, they should also pay attention to the exposure and conversion rate of the store. The conversion rate involves the number of visitors to the product and the store, and sellers need to actively improve the ranking of products and optimize the listing. eBay’s default search result sorting method is the best four matches (Best Match). Sellers will study how to improve rankings under this rule.

【Required information】

Create a basic product listing.

【Operation skills】

1. Understand the best match (Best Match) item sorting rules.

After buyers enter keywords in eBay, the best match algorithm will be used to sort the search results. In simple terms, eBay’s ranking calculation rules can be divided into the following steps:

(1) Collecting qualified listings – When buyers enter the product name to search, the eBay server will collect qualified listings and divide these results into auction listings and fixed price listings, and finally present the most valuable listings to buyers.

(2) Arrange the listings – Items listed in the auction format are sorted by the end time of the items, with the items with the nearest end time being ranked first. Items listed in the fixed price format are sorted by the value of the items. It is generally believed that the number of times an item appears in the search results is positively correlated with the number of items sold.

(3) Promote search results – Some sellers’ products will appear on the homepage because they are super sellers or their products are free shipping.

(4) Final sorting – Determine the ranking of auction items and fixed price items. eBay will merge and sort these two types of rankings and finally present them to buyers.

The key factors that affect the ranking of sellers’ items on Best March are: accurate titles, precise classification and positioning, exquisite pictures, competitive prices and professional seller services.

2. Understand the considerations of listing methods in best matching.

Single items, items with low starting prices and uncertain prices, unique or hard-to-find items are suitable for auction listings. Item relevance, seller detailed reviews/DSR and item remaining time are important factors affecting the ranking of auction items in search results. Multiple items, large-scale goods, goods with known prices, and items that need to be online for a long time are suitable for fixed-price listings. The time the item is on the shelf is the main factor affecting the ranking of fixed-price items.