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You can see that the column on the right can also be used to search for a certain sub-entity, or directly query the keywords of all sub-entities in batches. At this time, we do not want to export the table directly. We first select keyword analysis and jump to the more detailed keyword analysis page. keyword data, and even the ad bidding of each keyword (you can preliminarily determine the degree of competition of the keyword through the ad bidding.
) Click Export and we will get a table Phone Number List like this: Follow the same method to extract the keyword data of another competing product. Through keyword analysis, our product is men's business backpack. So let’s first check the keywords related to our products. Men's business backpacks. These are the four attributes of keywords, which are relatively accurate keywords. We retrieved the first-level or second-level keywords of the keywords through the table.
Through these first-level keywords, we then extend the keywords related to our products. Level 4 core long-tail words. We initially determine the first-level keywords of the product: backpack for men work backpack mens backpack 1.2 Static and dynamic expansion of keywords After we have the big words, our next step is to expand the keywords: More precise long-tail words can be mined through static analysis. This model is similar to phrase expansion in advertising.
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