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How Wildberries ranks product cards

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發表於 2024-2-20 16:28:20 | 顯示全部樓層 |閱讀模式
The site operates an algorithm (neural network) similar to search engines. It checks the relevance of the cards to the query entered by the user and places them in positions. If the visitor did not search for a keyword, but went to a section of the catalog, the algorithm evaluates how relevant the card is to the category. In doing so, it takes into account various factors, for example: CTR in search results; the number of orders; redemption percentage; rating; completeness of characteristics; seasonality of demand; remaining goods in the warehouse. The platform is interested in having more transactions concluded on it, as it receives income from them. Therefore, it is beneficial for her to display higher the cards whose views are better converted into sales. Because of this, it is difficult for new stores to break into the top free issuance. They use paid promotion to get the first orders.


How buyers search for deals According to AdvantShop, 90% of buyers look for Canada Phone Number Data products to order in the search bar of the marketplace, and not in Yandex or Google. It's faster, especially if you use mobile apps. According to our study “The Buyer's Journey in Online Retailing” , 43% of participants use only a smartphone or tablet, 23% use both a gadget and a desktop. Wildberries internal search is also good because it offers hints. Therefore, compliance of a product card with the requirements of the WB neural network will give the business: expanded coverage and high positions in search after the start of sales; good click-through rate in free and paid search results; increased conversion to orders and redemption percentage. If you improve your ranking in internal search, this will help increase sales and avoid wasting resources on more expensive SEO promotion in search engines.



How to optimize a product card For this, the same SEO tools are used as for promoting a store in search results, but taking into account the features of Wildberries. How to collect a semantic core (SC) For SEO optimization, you need to determine the unique characteristics of the product. For example, “women’s high-waisted stretch skinny jeans” or “men’s oversized mom jeans.” These are marker requests on the basis of which the USP is formed and the remaining keys are collected. You can expand your FL through the following sources: Wildberries internal tool “Popular Search Queries”, which is available in the seller’s personal account. This is a key database that contains about a million words with an indication of frequency and is constantly updated. External tools - Yandex Wordstat, Yandex and Google search suggestions, paid databases of key phrases. To collect a complete TL for SEO, it is worth using both types of sources.


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