After the seller collects search keywords, drop-down box keywords, related keywords, and through-train keywords, he first removes duplicate keywords, then screens the AliExpress seller’s backend search terms, and analyzes the large number of collected keywords. word.
1. The necessity of processing keywords
The brand keywords and minority language keywords in the keyword data collected by sellers through the AliExpress seller terminal cannot be used. Do not use brand words, as this may lead to infringement.
The seller removes the keyword data that is useless to the seller, and finally retains and organizes the keywords, so that the keywords can be selected more accurately later and the title creation can be more convenient.
2. Table processing keyword steps
(1) Delete redundant content. Except for the search popularity data, other data does not have much reference significance for sellers to create titles and can be deleted entirely.
(2) After selecting all tables, cancel the cell merging to organize the keywords in the table.
(3) Delete “view products” in the keyword. There is also a “view product” in the search term content, which will affect the seller’s subsequent processing of translating keywords, so all “view products” need to be deleted.
(4) Use the positioning function to delete blank cells in the table so that the seller can process the table later.
After the above four steps, the table will be neater, it will be very convenient to classify keywords, and the data corresponding to the keywords will be clear at a glance.
3. Delete non-English characters
When sellers create product information titles, the product information titles are mainly displayed in alphabetical characters, and the system will automatically translate them into corresponding text according to different countries and regions.
(1) Select the entire row name in the table, click the “Filter” button, and select the entire row in the first column.
(2) Click the “inverted triangle” in the cell for the search term and select sort in descending order.
(3) All non-English character keywords in small languages will be arranged at the top. Just select and delete all these non-English characters in small languages.
4. Translate all keywords to avoid infringement
After processing all keywords, the seller will get a complete English keyword table. Since many sellers do not understand foreign languages, it is recommended that sellers translate all keywords into Chinese. Since the keywords contain some small languages with English characters, the translation may be incomplete and the seller needs to translate them one by one. During the translation process, there may be some keywords that cannot be translated into Chinese, or keywords that are not related to the product.
Keywords that cannot be translated into Chinese or are not related to the product cannot be translated through translation tools. They are likely to be brand words that have not been included in the system. Sellers can copy the keyword names and display them on Baidu Search on . If it is a brand word, the corresponding brand information will appear, and sellers of these keywords cannot use it.
In the search analysis, there will be some brand words that are not recognized by the system. Sellers must pay attention when screening keywords. Keywords that cannot be translated through translation tools are likely to be brand keywords. Such keywords can be deleted directly when creating the title.
Sellers must carefully screen when sorting out keyword data to avoid incorrect use of some brand words, which may lead to later infringement complaints and losses.
5. Classification keywords
Sellers obtain many keywords through search analysis, such as through train keywords, drop-down box keywords, related keywords, etc. They only need to organize and Classification is convenient for directly calling when creating product information titles.
For example, if the store has 80 dress products, the seller only needs to extract the keywords of the dress category once. When creating titles for the next 79 products, there is no need to collect so many keywords and organize keywords again. Just re-extract keywords that match the product from the keyword classification.
(1) Classification of intentional words. Intentional words are not precise words. Intentional words refer to keywords related to the product, and long-tail words can also be grouped with intentional words.
For example, sellers can first extract intention words such as “clothing”, “women’s clothing”, “ladies’ dresses” and “new women’s clothing”. Although these intent words are not very relevant to the product, sellers need to use these intent words when creating titles because these intent words have a certain search popularity, for example, “women’s long-sleeved dress, new women’s dress, new summer dress” etc., are long-tail words with search popularity.
Select the intention word tag that needs to be classified, and create another table of classified keywords in the intention word table.
Sellers must be careful during the screening process and do not miss some intention words and long-tail words. Each intention word and long-tail word will have a certain impact on the exposure of the product information title, so sellers must Screen carefully and patiently, and finally copy all the intention words marked by the screening into the newly created table for classification.
(2) Classification attribute words. Before learning classification attribute words, sellers must first understand the attributes contained in the product. The attributes of the dress include words such as “color, season, skirt length, style”, which need to be filtered and marked in the keyword data table.
The seller also needs to re-create a sub-table, copy and classify all the marked keywords in the sub-table, and finally carefully check whether there are any missing keywords in the keyword table, and try to use All keywords are divided into categories.