From my personal experience, I feel that WeChat public number is mainly from the following data to analyze, generally weekly, monthly as a unit, of course, days as a unit is also OK, depending on the frequency of each public number needs. WeChat public number mainly focus on:User analysis, graphic analysis, traffic analysis, menu analysis, activity analysis.

1) user analysis: WeChat public number background can export excel data, and then use excel or BDP personal version to analyze this month's weekly data and its ring;

User growth: including attention, take off, the cumulative number of people, etc., to analyze the user's recent changes in the trend of how the distribution, the reasons for the change? You also need to analyze the year-on-year situation in the same cycle as before, and what are the reasons for the changes? Whether it is up or down, you have to analyze the data and find the reasons, this is the valuable experience of operating the public number, for you to provide a lot of ideas and basis for the work after.

User attributes: The data in the background includes information such as gender, province, etc. I think it is very interesting to analyze user attributes. For example, the gender ratio, if your public number is related to automobile, this week suddenly female fans rose a lot, is not the public number recently did some activities? And my public number of men accounted for 72.46%, because my public number is related to the Internet technology, so the attention of the majority of men, which is not surprising, how your public number you have to analyze yourself. Another example is the new users mostly from which provinces, which cities, the distribution of the reason is not also to analyze.

Analyzing user attributes can help a website or product to better position the target user, but also help the operation of the children's shoes a better understanding of their own users, for the future to do marketing, activities, etc. have laid a very good data base.

(This is the fan attribute of microblogging, WeChat's similar)

2) graphic analysis

All graphic:

-Basic: main graphic page reading, the original page reading, interactive data (sharing, retweeting, commenting, favoriting and so on), interactive data, firstly, you can judge the quality of the graphic, secondly, the quality of the graphic, secondly, the interactive data can be used as a basis for the analysis. judge the quality of the graphic, the second is to be able to judge the quality of the interaction of your fans);

-Extension: this month a **** a few articles, article type how to distribute, judge the next work;

each graphic: data indicators refer to all the articles analyzed;

Here is a simple do A reading, forwarding and other basic data of the chart, the other data you analyze on your own! Here simply do a read, forwarding and other basic data of the chart, other data you analyze it on your own!

3) Traffic analysis

Mainly through what channels users pay attention to the public number (mainly can assist you to understand how to promote your public number), read the graphic traffic from which channels.

4) menu analysis

Generally, the public number menu are set up on the website, the platform needs to highlight the content that needs to be displayed to the user to see the content, so the menu of the click situation also seems very important.

How many users clicked on the menu, is it up to expectations? Each menu module click data is how the distribution, at a glance to see what users are more interested in what content, as a basis for menu content can be adjusted to modify.

5) Activity analysis: the background does not have this data, this is my conclusion in conjunction with the actual situation

For us, WeChat's activities are generally in conjunction with the site's activities, as a publicity platform for the site's activities, you can count the WeChat data during the event, and the usual data to do a comparison. Let me give you an example, for example, we have done a campaign, the main analysis of the dimensions is this:

Understand the activities of the single article of the reading volume, exposure, interaction and other data, and weekdays, the average reading volume, exposure, interaction and other data to do a comparison; in addition to the reading volume of those, we are an e-commerce, more concerned about how much the single article brought the purchase of the conversion, and weekdays, the purchase of the situation for comparison;

If the activity is carried out in stages, you also need to compare the data of the activities in the same period, and then go to summarize the experience;

No matter what you do with the public "content", you must learn to analyze the problem from the data point of view, summarize the problem, don't just stupidly send articles, on the activities, every time you do something, you have to understand From the data, from the user feedback on the verification of each time to do things are reasonable, whether it needs to be improved, so that it will continue to progress, the user will continue to become more and more, the leadership will also see your progress and efforts! Don't say you don't know how to analyze data, it's hard to analyze data, it's really hard to analyze complex data analysis work, otherwise how do data analysts mix;

But as a WeChat operation you just need to learn some simple data analysis, analyze common data dimensions is enough. And WeChat background data indicators are fixed, only the specific value in the change, in the BDP personal version of the first time to do the visual dashboard, the second time in the BDP directly to your public data to append/replace the original data (by the way, members, then you can use the local synchronization tool: the first time will be the public backend of the data are imported into excel, and then the excel file package are put into the synchronization) tool, after the public number data changed, the data on the BDP also followed the change), its data results also followed the change, so the data analysis is not so complicated, once the solution, do not need to do it every time, the analysis speed is also very fast.