Amazon keyword selection and embedding

Buqiuren believes that there are two common mistakes in word selection:

One is to find keywords by blindly studying competitor copywriting.

The second is to create your own words. It is not very scientific to sort out the high-frequency single words from the competitor's copywriting and freely combine them, or to add words before and after the core words to create long-tail words, because you cannot guarantee that the words you create will be searched by buyers. Since there is no guarantee that someone will search, how much traffic can you get even if you push it to the homepage or get the Amazon's Choice logo?

Buqiuren believes that word selection is to select keywords with large search volume, high relevance and low competition by analyzing keyword data and user behavior, that is, to select the main recommended words. The combination of magic words and A9 can well complete the word selection work.

Buqiuren lists the important research dimensions of keywords as follows:

Now I will share with you a practical process and steps for word selection.

Find competing products in the BSR rankings of the industry category of the product you are selling, enter the competing product ASN (usually 1-2 are enough) into the A9 tool and wait for the A9 traffic data report

Confirm the root word of the product you are selling. The root word is usually a single word. Only by finding the root word correctly can you find all the keywords related to the product. (For example, the root words of fishing rod are rod and pole, and the root words of lamp are light and lamp)

Enter the word roots into magic words separately, download and aggregate them together (sort by search volume in descending order)

Mark the brand words in red.

Put each keyword into the search box, fill in the number of results, and check the relevance. Irrelevant keywords are marked in red

Compare and analyze the sorted magic word data with A9 data (as shown in the figure)

In the entire keyword embedding idea, the most important position is given to the main recommended word, the weight of the main recommended word is guaranteed to the maximum extent, and then the main recommended word is promoted in the later stage. The ranking of the main recommended word will drive natural search traffic and sales, and sales will drive the ranking of other traffic words and long-tail words.

The principle of embedding core words: