My last article, “digging the keystory”, details how to collect the key words we need, yet it is only a primary key words, not a key words that we ultimately need to optimize. We also need to analyse this primary key vocabulary in order to finally identify the key vocabulary that we need to optimize, and the seo is going in the right direction and is going to do a lot more。
1. Selection principles for the keyword database
(1) whether the keyword is of commercial value, such as where chengdu is being trained by seo, which is a very commercially valuable term, and what has a commercial value must be optimized as a matter of priority, since such terms represent a small and competitive proportion of the total search
(2) whether the keyword is relevant to the website theme, product, and if the keyword is not very relevant to the website theme, we will have to abandon the optimization of such keywords and add a column. For example, my company is doing a photo shoot, and the key word "star photo" can be abandoned, because it doesn't work out。
(3) the difficulty of optimizing keywords by selecting, to the extent possible, less competitive, search-intensive and relevant keywords, which are key words that we need to update。
2. Optimizing difficulty analysis of keywords
(1) searching for the keyword to see the number of results, which is very competitive if it is hundreds of millions; if the number of outcomes is less than 1 million, the keyword is easier to optimize, and if the keyword is of commercial value, the difficulty of optimization increases
(2) a hundred degrees search for the keyword, looking at the results of the search on the front page, is difficult to optimize if the front page is full of the front page of the industry platform website, 100 degrees news source, 100 degrees library, 100 degrees knowledge, 100 degrees experience, etc。
The analysis of the keyword library resulted in the selection of commercially valuable, high search volumes (100 degree indices, 100 degree bid keyword planners tool to view keyword searches), and the optimization of the small competitive keyword library。
