Since the advent of the media such as the WeChat public account, the way of marketing by law firms has undergone significant changes from the past. The use of self-media marketing by law firms has become a trend that has brought tremendous help in shaping the brand and exploring the source of the case.

tecdat Researchers analyzed the data of some of the public articles in the red circle in December 2017 and used the data to explore the distribution of red circles and outline the reading preferences of users.

The concept of "Red Circle" was first put forward by ALB (Asia Law Journal) as the annual revenue of the firm in 2013. The red circle includes Jun He, Kindu, Zhong Lun, Fonda, Business, Global, Sea asked, honest days of competition (in no particular order).

Newsletter mainly at the same time dry goods and industry interpretation and sharing

Judging from the number of publications issued by various public agencies, Jun He has the largest number of legal comments, accounting for 35%, followed by Kindu, accounting for 32% of the total.

From the public issue of the type of article number, the article is mostly communication draft, accounting for 41%, far more than other types, followed by dry goods sharing, accounting for 26.1%, and then comment reading, industry analysis and other articles. Therefore, it can be seen that the male article is dominated by communication scripts, and at the same time, there are dry goods and industry interpretations and sharing.

Users keen on dry goods and industry analysis, but also concerned about the news

In addition to understanding public issues, we want to know which type of articles readers prefer, through user behavior (read, like).

Judging from the number of likes and the number of likes (likes / reads) for different types of articles, we found that users had the highest number of likes for the newsletter, followed by dry goods. From the point-to-point rate perspective, we find that users have a high number of likes for communications, essays, industry analysis, and dry types. Combining the two aspects, we can think of users as very concerned about the news of the law firm, but also very interested in the contents of upturned industry analysis, dry goods released by the public.

Through the analysis of the distribution of different male characters, user reading behavior and other dimensions, we can make a simple comparison of the similarity between them. From the figure, we can find that Han Kun and Jun He are more similar in terms of hair styling, user preference, and so on. There is a high degree of similarity between Zhonglun and Kingdoms.

The theme of the article is presented

Through the keyword extraction of the public articles, we found that the high frequency words appearing in the article include investment, lawyer, enterprise, overseas, viewpoint and help. At that time, the issue of public articles was related to these topics.

Through the theme mining, we found that all the words can be broadly divided into several topics, including overseas investment, capital market, national policy interpretation.