Re-analysis of the user experience in medical editing background statistics

Source: Internet
Author: User
Keywords Data statistics network editing

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How can I write more articles that meet the needs of patients? How to analyze your previous work success point where the failure point? That's what I'm talking about. Background data statistics, which I personally think is more important, it can not only provide material for our article editors, but also let us learn how to analyze problems, Find the crux of the problem. Below we will take a concrete look, the individual compares likes CNZZ and the Baidu Statistics Union to look, the friend may according to own custom. Filter to use, only to add the statistical code in the site, the following to our new online site of Chinese Medicine Treatment Cancer Network to illustrate. I hope my friends can understand the significance of data statistics:

1, the first more important is that we first look at the number of visits, it is best to do a simple daily record. A week to do a comparison, find the flow of large or small traffic on the day, carefully analyze the problem where, find the reason, timely and technical personnel or SEO personnel to communicate, find the problem in a timely manner, do an Excel table, daily statistics, develop habits.

2, look at the number of search engine keywords, see the significance of this statistic is that we can targeted analysis of the site of the problem where, for example, compared to yesterday, Google's keywords less, or less Baidu keyword, then we in the next step of writing or optimization process will be able to do know, There are changes in the direction and so on.

  

3, keyword, check the keyword search rankings. This is one of the sources of our article title, you can also let us see that kind of title is in line with the patient's search habits, according to the ranking, analysis of a better ranking of a single page to achieve a better ranking of the reasons, summing up experience, in the future of writing to maintain.

4, the interview page, this is also very important, we should focus on the number of visits to the higher page bounce rate. Jump rate is too high to explain the user experience is poor, if it is a single page article, the content of the guide to do not enough, statistics for a period of time of the visited page, to find out in the normal range of bounce rate, for research and transformation of the page and the conversion of the article has great benefits For example, if a page access is high, but the bounce rate is too high, on the one hand, the readability of our page is poor, on the other hand, we do not have adequate guidance and related content recommendations. This we will explain in detail later. If this situation is to be addressed and modified.

5, Access details, access details is a visitor to our website browsing situation, analysis of this data can be a good guide to our writing in the article on how to do the relevant content of the recommendations and for PV obviously not enough columns or pages to make changes, can also be a number of columns of the page to analyze the situation of a patient's psychology, that is, when he through a keyword into the page, after reading the article in mind after the idea will also focus on what other content. This helps us to think about the user's heart.

  

Summary: Whether it is to do the copy or edit, we do not try to imagine or guess the psychology of the patient, we have to do is to take the data to speak, have the data, will have a direction, will find out whether to enter the wrong, such as:

SOURCE words, search word chaos, are some irrelevant words, then we need to adjust what next, what needs to be done?

The page jumped out of the high rate, what reason, why, what to do, from the search engine from the word down, less what words, which search engine, how to adjust, hot map, visitors to the site like to click which area of things, why, analysis ...

Through the analysis of data, we can find the direction of work, also can understand where to do bad, and will analyze their own work. You can take one hours a day to organize your data and analyze your data, and then start your day with a targeted effort. For a while, I'm sure I'll see the effect.

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