Real SEO case: using social media

Source: Internet
Author: User

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The last time I introduced the use of social Network marketing, ranking flow do not worry about the article, received a lot of support, but that is based on the Digg site abroad, today to talk about is based on the social network of Fresh fruit marketing, I do not need to introduce it? A domestic Digg site with RSS readers and reading communities.

The biggest quality of fresh fruit is that she has a function called Jevin recommendation, I want to speak today of the use of fresh fruit to do social Network marketing is from this Jevin began.

In order to verify the authenticity of what I call social Network marketing, I demonstrated it in advance and will publish my experimental process (that is, the process of social Network marketing).

Experimental process:

Step one: Watch hot news or content that is interesting to viewers and readers. I aimed at the surreal of the year ago, "no sincerity and no interference";

Step Two: Write the article. For example, after watching the "Non-interference", wrote a "Do not bother ads in the end how many" www.tea6.org/blog/post/200.html, of course, this article is not my complete original, this is a "false original", I was based on the original text, coupled with their own views, and reversed the order. Why false original? This is called occasion, I even suspect that the original film production side of a marketing tool, the use of negative effects to improve the "non-interference" concern, no matter what, my article by the search engine identified as original.

Step three: Recommend fresh fruit. The recommendation of fresh fruit is very simple, anyone can just post a page out on it, pay attention to describe the content.

Fourth step: Find a way to recommend the hot text of fresh Fruit The recommended Jevin is a certain rule, such as the new registered user's recommendation is invalid. How to recommend the fresh fruit, mining his algorithm, I will not be public, even if the public fruit will adjust the official algorithm, you need countless times to find enough people to help you test. So I used some methods to recommend the article to Jevin. The following figure.

  

Fifth step: Further promotion: To do the recommended article to do outside the chain, do keyword, do ranking when recommended into the fresh fruit hot wen, and get enough people agree, will be recommended again, my article was file 33 times. The following figure.

  

Of course, you are recommended higher, to visit the more, through the fruit reader will also be more, at the same time the impact of the greater, my article has been several sites recommended as the "non-interference" advertising authority to supplement.

1 brought me traffic. Please see the 6th of Traffic description chart.

2 added the chain to the website. Outside the chain has not done detailed statistics

3 for me to improve the weight in the search engine. Weight beyond the pole, Sohu, Sina.

At present, I am in Baidu, Google, search "not sincere don't disturb advertisement" keywords are ranked first.

  

Google first

  

Baidu is also the first

Sixth step: such as the flow of door-to-door even non-prudential keyword can row to the front, so the film flow of the fire came.

  

This is the 51.la flow chart.

  

This is my GA statistics.

This is exactly the same as the traffic model I had in the last article on social Network Marketing (link deletion).

  

It's that simple!

A few notes: 1, before recommending to advance the hot point, and your site related points, otherwise it does not do a good job. Even if the traffic comes, the bounce rate will be very high. The bounce rate is high, which means it's not worth much.

2, the user has the time to reply to the message, it is best to have mail prompt reply service. This will greatly improve your return visit level, increase user stickiness.

3, to prepare enough outside the chain, recommended into the hot text to further promote the effect of promotion rankings.

4, the algorithm of fresh fruit to study carefully, she often change the algorithm to prevent emergency failure, more tests.

From www.dengshaowei.com

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