Several elements of using microblog marketing data analysis

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Speaking of data analysis, I think many grassroots webmaster is not unfamiliar, because each of us in the use of Webmaster statistical tools to statistical site data. Most of the webmaster through the tool to obtain the site's IP, PV, search engine included, keywords, antecedents and other data. The more high-end webmaster has far not satisfied these basic data, began to analyze the user's operating system, browser, and geographical distribution, and even want to analyze access to the user's gender, but now simply rely on free webmaster tools are difficult to achieve.

The topic to be discussed today is also related to data analysis, and the platform has changed from the website to microblog. All know that micro-bo is still in rapid development, many enterprises and individuals have found the microblogging of the new platform in the promotion of their products or Web site can be a great article, so the concept of micro-blog marketing emerged.

Number of fans, forwarding number, comment number

Do not attempt to change the qualitative change, for a micro-blog, zombie powder basically meaningless. Even if you have 100,000 fans, what can you do? Fans without forwarding or commenting are lifeless. I want to brush a fan of friends know that you only need to spend 10 yuan, you can have thousands of or 10,000 of fans, but it is not worth doing. Only live life with computers, mobile phone fans will be able to forward, comment and continue to focus on your microblog. Of course, there are already many software to achieve the replacement of Avatar, attention, forwarding, comments and other simulated human operations. But without good marketing ideas, relying on a software is not feasible.

Propagation depth and key propagation points

An excellent attractive microblog, the number of forwarding is staggering. If we want to analyze the data more professionally, the two-time forwarding, three-time forwarding, etc., should be monitored. In the process of monitoring, we will find that when a fan forwards your microblog, the resulting two-time forwarding is far above average, I think you will see this fan's microblog. Why forwarding to him here, two times to forward the people up. Is the influence of his microblog, or the technique of forwarding, which is worth your understanding and analysis.

Analysis of the characteristics of vermicelli

Fan trait analysis can have the fan number of fans, concern number, the number of tweets, forwarding times and other basic content, these characteristics can only be analyzed to get the most basic fan information. The good news is that Weibo is a powerful social platform, and we can get more information on these obvious data, such as sex, hobbies, areas, concerns, etc., that can help you get the key information about sex ratios, geographic distribution, and hobbies in your fans. Further, from the fan data, you can tap into your potential fans, because you already know how to like your microblog is a male or female, like your microblog distribution where the people like you Weibo and what they like. These will undoubtedly be valuable information in your development of your fans.

In addition to the above, the micro-blog data analysis can also focus on their own network, fan connections, fan influence and many other aspects. The micro-blog for more detailed data analysis, not only can better develop their own micro-blog, but also further expand the microblogging marketing.

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