In fact, from the article on media operation and efficiency improvement, I simply combed the development wave of the Internet. From the initial games and making friends to the later online merchants and shopping, the traditional gameplay seems to have aroused people's more interest, and the interactive mode has also begun to change from point-to-point interaction to point-to-face interaction. Individuals and enterprises have also begun to focus on creating their own self-media accounts and enhancing brand influence.

In the face of many self-media platforms, Baijiahao is recognized as a leader among many self-media platforms, whether it is traffic support or operating income.

However, there is a good platform, no good content and no good self-media operation.

In the self-media operation, the era of relying on plagiarism and manuscript washing to obtain rich profits has passed. In order to obtain high recommendation and high traffic, it is necessary to continuously create high-quality content. In today's online world, there are all kinds of articles, which are original, spliced and plagiarized. The original reading experience is the best, so the traffic and income are naturally very rich. Plagiarism will eventually lead to a title, while splicing articles depends on the level of editing. High-level people can naturally avoid the robot audit of the platform, but it is inevitable that there will be wet shoes when walking by the river.

So, having said that, how should we operate the media?

Different from mathematics and physics, self-media has formulas and theorems, but it tests the author's creative enthusiasm and continuous content output ability. Especially in today's era, a large number of self-media people have flooded into the market, and the homogenization of content has become more and more serious. So how can we ensure that the platform recommends our own "articles" instead of other authors' "articles"? As the saying goes, "there are many articles copied in the world". If you take it literally and think that you can copy other people's works, it is all wet.

First, build brand core competitiveness.

We often say that "good content is the core competitiveness of the media", so we must first understand what good content is. The good content here can attract users' attention, that is, the content that users are interested in. It is not difficult to find what users are interested in. Just look at the Baidu Billboard and you will know the hot spots in all walks of life that people pay attention to recently.

Of course, it is not only this tool that helps us analyze user data, but also many other platforms can be used. Multi-party query will make the results more accurate. Because the hot search content ranking of this platform will be slightly different from other platforms, but based on big data analysis, the hot search content of other platforms is not necessarily hot search on this platform. Therefore, multi-party query can more accurately grasp the changes of the weather vane that users pay attention to.

Second, fan data analysis.

If the operation only cares about media hotspots and does not pay attention to the data analysis of its existing fans, it will undoubtedly fail. Focusing on hot issues can bring us a lot of traffic and fans, but it is undoubtedly a waste of martial arts to accumulate a certain number of fans in the process of media operation without paying attention to the hot spots that fans pay attention to.

Every platform has the function of fan management, and there is a reason why fan portraits and fan data are listed in separate tables. Reasonable use of this function provided by the platform to analyze the profiles, portraits and data of fans can analyze the attributes of users, their active time and the direction of their favorite content, and then create corresponding content according to users' needs, which will get twice the result with half the effort. It is much easier to make good use of this function to read a lot than to bump around like a headless fly on the Internet.

Third, historical content data analysis.

Many people believe in self-media training classes and spend a lot of money to sign up for "self-media remedial classes", but we know that the author became an author not because of the guidance of a teacher, but because he kept creating and honing his writing style, and he gradually became an influential writer. Just like Lu Xun, he studied medicine at first, but he felt that doctors could only heal other people's bodies but could not save their souls because of the social situation in China at that time. At that time, China needed more sober people to shoulder the responsibility of the nation, so he gave up medicine and continued to write. Only in this way can he play an important role in the future literary world.

Lu Xun, as a literary giant, although we can't compare with him, we can clearly see the level of traffic, the reading completion rate of articles and the user's love for articles by analyzing the background data, and then select topics and prepare materials according to these data. For example, what are the key points and key words of these articles? Filter out the content that is beneficial to you, and then start writing and deep creation.

For the content with low traffic, we can also analyze the quality problems of the content, where there are shortcomings, why the platform does not recommend or recommends less, directly face the problems through background feedback, and then solve these problems in a targeted manner, so as to continuously improve the quality of the article.

As long as friends do a good job in the analysis of the above three aspects, it will be very easy to run the media well, and they will be able to walk on the road of media for a longer time.