Some discussions about white hat SEO

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Question 4: Matthew effect, the strong get stronger, and the weak get weaker. That is, large sellers or sellers who opened stores earlier are increasingly highlighting their advantages, and small sellers are increasingly at a disadvantage. (Sales volume/evaluation, etc. do not have a competitive level).

2. Simple analysis of future opportunities for cross-border e-commerce

Sellers:

Traders: Flexibly select products, opportunities, and update emerging products, and enter quickly. Therefore, it is necessary to keep a quick grasp of preface information, popular categories, etc., pay attention to market hotspots, discover business opportunities, and develop multiple usage ideas for products to enter the market faster. ====Discover the market: Through offline contact methods, pay attention to the financial reports and other analytical data and dynamics of different platforms, and social media hotspot dynamics.

Manufacturers: Lack of flexibility, establish branding, achieve iran telegram number database branding upgrades, and protect their own brands (platform branding).

The Indian market is worth noting.

3. Where is the way out for independent stations

? Traditional subdivisions, new opportunities. (For example, Dunhuang 2016 footwear explosion highlights). Pay attention to platform development trends and opportunities.

Independent stations: slow traffic/long latency time, comprehensive from all angles, independent stations are the foundation. Independent stations, similar to platforms or clustering, no longer belong to this era and are not desirable. The opportunities of independent stations are more inclined to exist in vertical subdivisions, and do it to the extreme. Do the long-tail words in the subdivision field to the extreme. Independent

stations: old domain names, product classification and long-tail words are more refined.

However, they are also faced with the high investment in drainage costs. In the division of traffic, the total score is SEM/SEO; the cost of SEM is still quite high, and the choice of long-tail words = è small competition and high conversion. Traffic tends to come from (google/sns social media/web alliance/edm...), and the conversion rate of SNS social networking still has a big problem; SEO new site operation difficulty (whether it is ranking or traffic, etc.), and the station group model is regarded as cheating by search engines and is in a gray area. But opportunities still exist. Cultivate new sites for a long period of time, find suitable long-tail words and words that are not covered by the platform, etc. Expand and derive content from such words.


Relevance/external links/keyword density distribution/high-quality content with little repetition/complex and clear internal links are just some of the more important factors. There may be some aspects that are done better and get better results. Moreover, the search engine algorithm is extremely complex. And each content is very profound and rich.

H1 tag: H tag is a tag that emphasizes the text title in the web page, which can attract the attention of the search engine. When the search engine visits the web page for crawling, the content of the H tag is used as the emphasis part. Use it only once for a page, don't use it all the time.

Nofollow: Used to instruct search engines not to follow (i.e. crawl) any outbound links with nofollow attributes on a web page, in order to reduce the scattered website weight of spam links. For example, suppose there is a web page A and a web page B, and then web page A points to web page B, but with the Nofollow attribute, then after the search engine reaches web page A, it will not record A as a backlink to B, in order to reduce the scattered website weight of spam links.

Relevance: Rich content: content relevance/link relevance/semantic relevance/context relevance...

Semantic relevance: etc., you can study it yourself. For example, RankBrain, if RankBrain sees a word or phrase that it is not familiar with, it will guess its similar meaning and filter the results accordingly, thereby effectively processing some search queries that it has never seen before. For example, RankBrain can effectively answer, so as to find the user's true search intent.

Semantically related issues in the content are worth digging deeper.

External link anchor text, continue to dig into this.