Introduction to Keyword Mining 2.0 of Cross-border E-commerce Learning Class

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The “Keyword Mining 2.0” tool is a newly launched function of the seller wizard. The completeness of the system, the professionalism of the function, the granularity of the data, and the fineness of the operation guide are undoubtedly very cost-effective among the comprehensive service tools. Below, the cross-border e-commerce learning class will give you a brief introduction to the newly launched “Keyword Mining 2.0” function of Seller Wizard.

  1. Why is the Keyword Mining 2.0 tool important?

An accurate and effective keyword database is the basis for the construction of Listing. Whether it is the pre-launch of the Listing or the subsequent advertising optimization, it needs to focus on keywords. It can be said that the keyword database of a product runs through the entire Amazon operation process. core resources.

  1. What is the business logic of the Keyword Mining 2.0 tool?

By locating the products under the keywords, and then mining the keywords associated with these products, digging down layer by layer, and finally constructing a huge keyword database associated with the query keywords, adding more keyword search traffic entrances for the products , occupy more keyword pits.

  1. What problems can the Keyword Mining 2.0 tool solve?

  2. Expand words with words: Find relevant keywords and long-tail words, and quickly build a precise keyword database.

  3. Word frequency analysis: It is convenient for sellers to classify keyword attributes and mine product segmentation scenarios.

  4. Advertising: Screen effective keywords, create high-scoring Listings, and optimize PPC advertising.

  5. Big words expand small words: dig deep into long-tail words.

The cross-border e-commerce learning class provides overseas multi-platform operation training courses, from product selection to keyword database construction, from optimization to advertising drainage, and the whole process of professional guidance services, hurry up and register!

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