• Overview

• Digging Words (Tools)

• Choose a word

• Buried words

• Inferences

Overview

1. Talk about the nature of keyword research 

The keyword definitions in Amazon and Google search engines are different from the keywords in the dictionary, and after years of machine learning, these keywords have developed a one-to-one relationship with user behavior (or user intent). 

示例1：谷歌 Office Space Brooklyn  VS 谷歌 Coworking Space Brooklyn  

Search "Office Space Brooklyn" and the results are all transactional: 10 results are for rental office sites

Searching for Coworking Space Brooklyn resulted in mostly blog posts about the best collaborative offices in the city. On the face of it, the two sets of keywords mean something similar, but the results on Google's first page tell us that these two similar keywords are expressing different user intents.

Example 2: false eyelashes in the Amazon false eyelashes VS dictionary。

The dictionary false eyelashes refer to various types of false eyelashes, such as grafting eyelashes, planting eyelashes, otters pairing eyelashes, chemical fiber pair eyelashes, magnet eyelashes. In Amazon, this refers specifically to low-end chemical fiber pairs of eyelashes, because when you search for false eyelashes, the product's search results pages are several pairs of chemical fiber eyelashes sold at a relatively low price. A deeper level explains that when a user searches for false eyelashes, the search engine will be able to determine what the user wants based on longer machine learning, showing the product that the user needs most, which is also the core of the algorithm: always put the best products that best meet the needs of the user on the page.

2. Talk about the promotion principle of keywords

Digging Words (Tools)

You can mine all the keywords with a certain amount of search and record them in the excel table using the formula of the root plus a-z. For example, if I want to find out some of the key words of the wig, I will: wig a, wig b, wig c....

Advantages: Through this method can be around the product important keywords excavated out, original, keyword sorting order is basically in accordance with the search volume, so you can generally judge the search situation of keywords. Cons: Can't find all the keywords with wag as the root, there is no keyword search data, the whole operation is time-consuming and labor-consuming. 

Pros: Less time and effort than search box mining keywords Some shortcomings: can not meet the need to build the thesalys, it is easy to ignore some important keywords.

Advantages: Filling in the word this part is a good design, on the one hand, according to the frequency of filling in the word to choose a good word into the search term, on the other hand, according to the frequency of filling in the word can also be initially judged the mainstream of the market products. Can dig out a lot of long tail keywords, while supporting 14 sites keyword query. Disadvantages: Can only dig out the "root" keywords, can not dig out the "root" or "root" keywords. Excavated keywords do not have a search volume reference, it is difficult to judge which keywords are more hot search.

Pros: Once you enter the root, you get keywords with Rank, and the search heat decreases from 1 to 10. Qualitative analysis to keyword search volume, while supporting multiple site queries. Disadvantages: Can only dig out the "root" keywords, can not dig out the "root" or "root" keywords. The excavated keywords do not have a search volume reference, it is difficult to quantitatively analyze the search volume of keywords.

Pros: Powerful, amazon/google/youtube/bing/instagram and other platform keywords a network, but also to provide keyword search volume, search trends, CPC reference, has a very big help to the operation. Disadvantages: the cost is high, mining not too much about the "plus root" or "plus root" keywords, in this regard slightly worse.

Among them, A9 keyword data can show this Asin purchase keywords, shopping cart keywords, click keywords and search keywords. At a glance, it's clear what the main keywords for this Asin search traffic are, quickly locating the core words. Among them NAT traffic keywords refers to the buyer to search for the product to use the keywords which CPC keywords refer to the buyer to search to the advertising products to use the keywords 
Where CAS traffic entry Asin refers to customer also shopped for  
其中CWB流量入口Asin是指customer who bought this item also bought
Where CWS traffic entry Asin refers to the compaleed with similar item 
其中CWV流量入口Asin是指customer who viewed this item also viewed 
Where FBT traffic entry Asin refers to Freequently bought together 
Where SPR traffic entry Asin refers to Sponsored product related to this item 
Pros: find the right competition, competition A9 data can quickly locate the core keywords, through the competition association recommended traffic inlet can quickly lock the associated recommendation optimization target ASIN, lazy must. Cons: Charges per ASIN, the price is relatively high.

Pros: You can show a variety of combinations of keywords, all important keywords a net. At the same time with keyword search volume data, can be quantitative analysis of keyword data. Disadvantages; Apart from the high cost, I didn't find much disadvantage. 
In addition to the above tools can be used to dig keywords, there are amz scout, purple bird, captain and so on, it is too much, to find a suitable for their own talent is the most important. The key word tool commonly used by the author is a9 report and magic word, the combination of the two is perfect.

Warm tips 
1. Guess unconfirmed: the search volume shown by third-party tools should be based on their own data model, through crawler technology to obtain data. Non-Amazon real search data, which Amazon should not disclose. 
2. The cost is too high to find Omngo, are spelling.

Choose a word

Buried words

Take the main push word as the entry point of natural search volume to drive sales, and use sales volume to drive the ranking of other traffic words. With a little noodles, everything!

Inferences

Using the above principles and how the two BUGs design the process of keyword promotion, the following will guide the reader's thinking in the form of an outline. In the process of word selection, we have a large number of keyword research work to get the main thrust must be highly relevant keywords, so our next keyword promotion work will focus on click-through rate conversion rate and user feedback. 

1. New products go online directly to open large. All methods within the range of capabilities that are effective for a single order (e.g. automated advertising, such as large COUPON, such as off-site) are not let go, because sales can improve all keyword rankings across the scale. 
2. Do the "main push word" click plus purchase (APP side is the best) 
3. A week after the new product 1 week on the line, open the "main push word" accurate advertising (listing has been evaluated) 
4. Closely monitor traffic and order changes, around the "main push word" to achieve a stable growth of traffic 
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Tips:
The above promotion content is based on a good quality LISTING, ignoring LISTING itself quality only to seek promotion means is not worth the loss.