To make a semantic core faster, distribute search phrases into groups. For example, make 3 lists of keywords in an Excel table, sort them whatsapp data by frequency and highlight the clusters with colors.
Forming a semantic core for a card
To make a semantic core faster .The semantic core is a set of search phrases that accurately describe the product. We discuss improving battery safety training and compliance chemtrec how to collect them above.
Now we ne to select from the many keywords those that will be us to optimize the card in the online store.
You cannot insert all the keywords into the card:
The marketplace will consider it over-optimiz and lower it in the search results. It is optimal to have 10-12 search phrases per product card. They are written in the name, description and characteristics of the product. It is desirable that:
30% were high-frequency queries, that is, those describing the basic properties of the product;
50% fell on mid-frequency queries characterizing unique properties, such as the styling function;
20% was left for low-frequency requests corresponding to unique qualities, for example Using the phrase “buy” doesn’t make sense, because in online stores people only write the names of the products
There are quite a lot of mid-frequency europe email queries, but when we were defining important characteristics, we found that consumers are interest in the styling function and similarity to a well-known brand. It turns out that we ne to select search phrases that are relevant for such indicators.
There are more low-frequency queries than the other two groups combin. For SEO promotion of the Wildberries card, it is necessary to select relatively popular low-frequency queries describing the properties of the product. In this case, it can be not that the hair dryer has an ionization function.
The result will be a table describing the product properties. This is what it might look like:
Create a card title
The product card name is what Wildberries indexes first, so a keyword is always includ in it. As a rule, the most frequent queries are us, but you ne to proce from the category in which the product is locat. To bypass the largest sellers, it is better to use a mid-frequency rather than a high-frequency query and write a USP. In niches where competition is small, high-frequency queries can be indicat in the product name. It is also worth writing unique product parameters through a slash or a comma to attract the attention of consumers. With proper SEO optimization of the product card on Wildberries, it will appear at the top of the search results.
Adding traffic-generating features
The filters that users can use to find a product card depend on the properties specifi. In addition, the parameters affect the placement in the top results for the corresponding queries.