Do a good job of data analysis to make network promotion easier

Time passed quickly, 28 push 2 stage of public service training unknowingly carried out to the 3rd phase of the task. At the end of last week's 2 data collection and analysis task, I wanted to write a summary review. The result has been dragged on for a variety of reasons, although the 3rd task is now in its 2nd week, but the 2 task should be summed up.

In my previous blog, I have mentioned many times the importance of data analysis to network promotion. But most people who have access to the network to promote the data analysis is a very boring thing, so many do the network to promote people, often do not do a good job of data analysis, and then blindly to carry out the network to promote, it is difficult to obtain better results, efficiency is not high. Because data analysis is very important for network promotion, it is often neglected by the promotion staff. Therefore, the 2nd phase of the 28 push for public service training is the ability to collect and analyze data.

Each public service training of 2 tasks are the most boring, not like the 1 issue of micro-blog task, is 280 people together in the struggle, and the team can also help to complete the task together, more atmosphere, so that some of the consciousness is not very good students also completed the task. But the 2 task because is the training student data collects the analysis the ability, therefore initially did not allow the student to exchange the experience privately, hoped that the student thinks more to think how to collect to analyze. Because of the lack of communication between students and the supervision of the team leader, some students who are not conscious of their own reason to find reasons to postpone the completion of the task, so the 2-period task is to test the consciousness of the trainees, whether the beginning of a good initiative to do the current task.

First: Let everybody understand, the public welfare training 10 groups, collect data direction separately

1 Group: 20 TOP5 websites for female vertical subdivisions

Group 2: More than 3000 of the industry forum posted on the collection day

Group 3: The initial planning direction of the two-phase task of the 3 group is to collect the data of the tourism website of the ranked Top10.

Group 4: Forum for TOP100 women groups

Group 5: The collection of Tencent Micro-blog 10 industry Top10 (the following include the official and grassroots)

6 Group: Collect 20 industry, TOP5 QQ Space

Group 7: More than 3000 local forums for collecting day posts

Group 8: Microblog data from Sina and Tencent micro-blogging Enterprises

9 Group: Collect each domain TOP5 the website data and the profit pattern analysis!

Group 10: Data Task 10 groups of people who collected more than 8000 of the local micro group

Although the purpose of this task is to exercise the ability of students to collect data and analyze data. But since take time to do, the collection of data can not be too chicken, so also have to ensure that the data collected also have a certain significance. At the same time can not be too simple, such as only collecting a top20,top50 data, the data is too small, difficult too low, not to exercise the purpose of the trainees. Therefore, the data collected must be more than 100. For example, the 5th Group of tasks only 10 industry TOP10, the 6th group is 20 industry TOP5. are guaranteed to collect more than 100 of the data.

Second: Analyzing data is harder and more important than collecting data

The experience of how to collect data in a week after the task is to allow students to communicate with each other, because I think the experience of data collection can be applied to any industry and domain. But the experience of data analysis, I do not allow students to communicate with each other until the end of the task. Because if you analyze the data to communicate with each other, eventually a group of 28 of people analyze the same data, the task is meaningless. and the main purpose of the task is to exercise the student's data analysis ability. Because later do network promotion, need to do data analysis, it is impossible to have so many people and you communicate, so how to analyze data must learn to understand their own research.

Why is it more important to analyze data than to collect data? For example, I found that many of the students do the promotion of the Forum is to send out the chain. If one day your company leader said a few interns, let you lead them to find 200 PR4 above the forum hair outside the chain, how will you operate? If it is not difficult to collect more than PR4 forum, just find a site navigation, you can find a lot of. But when the light is collected, will it be blindly sent? In particular, the following interns do not understand. That must first analysis, analysis of this forum can send out the threshold of the chain, in addition to which forum personalized signature effective, theme can send a hyperlink, replies can be sent over the chain. Which website Baidu weight is high, the post collects fast? For example, the collection of 200 PR4 above the forum, through the data analysis out of the 100 most appropriate, and then let the following interns to do, this will be more efficient?

If you do not do these analysis, blind to hair, will be everywhere. For example, be sealed, or strive for a long time to improve the integral, but the outside chain has no effect and so on. However, if you start to do the relevant data analysis, it will be less to walk a lot of unnecessary, this is the data analysis on the value of network promotion.

Three: The purpose is different, the data direction of analysis is different

In this 2-period task, 3 groups are collecting forum data. The forum is the most familiar, so I will take this example. Because the collection of indicators are the same, such as the day Post 3000 posts above the local Forum and Industry Forum. So it's very likely that 1 of the students in the group will collect the same data.

Although the data is the same, but because the purpose is different or the students own understanding, the final analysis of the data will be different. For example, I used to collect more than 3000 posts on the local forum, my purpose was mainly for the company's new products to talk about cooperation. So I do data analysis, more attention to the popularity of this forum, how many active members a day, how many posts. Focus on the content of this forum, the content of the discussion forum members more entertainment gossip, or the same city trading? Maternal？ Wedding, real estate? The other is to collect the contact information of these forum leaders. The collection of these data is to prepare for future cooperation, once the need to talk about cooperation, through these data, you can quickly find the appropriate local forum to talk about the corresponding cooperation.

Conversely, if not to talk about cooperation, just want to exchange links with these forums? Or just to advertise hair outside the chain, analysis of the direction of the data is different. may be to pay attention to these sites Baidu weight, PR value, personality signature, whether there are advertising areas such as data

Four: Outstanding Student Task Data display

Because each group collects the data different, the natural difficulty degree is also different, does not have the comparison sex. Therefore, the 2 task is not like the 1-phase micro-blogging task will have the overall ranking of the students, but within each group, the team leader will be the 28 students to analyze the data to score. I looked at the student data for each group with a higher score. Among them I feel better, also in the blog and share with you.