Analysis on the important link of bidding data (data Monitoring section)

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Friends who do network marketing know that data analysis is a very important link, data can guide enterprises to formulate promotional strategies and promotional direction, the data analysis is also an essential link, however, how many bidding friends to do a long time to bid only stay at the level of account operation, only know that there is data analysis, But do not know how to land execution, so today is here to Semer friends to share data analysis serial articles, hoping to help more bidding friends, to the point, the following listen to my continued long-winded.

I have also updated some articles on data analysis in my blog before. Data analysis of several core analysis, data analysis steps, and so on, if not read my article friends can go to my blog to look for these articles, today we mainly discuss the topic of data analysis in the data monitoring this link. It is well known that data analysis is based on the assumption of more accurate data, if there is no way to monitor the data (not exactly what the keywords bring to the dialogue or which keywords bring the transformation), then we can only rely on the feeling to judge the "high conversion word" you think this basis accurate? Our promotion strategy through the sense of development, you think our account optimization direction from where? Maybe we have a lot of questions here, so don't worry, I'll tell you how I monitor the data when I do the bidding.

Before we said that there is no data we do the bidding is by feeling, with experience to adjust the direction of the account, then our marketing effect can be imagined. Usually we do in the account of monitoring there are three ways: (tips: This article is Yaorui original Baidu Certification marketing consultant, Division from the "console network Marketing" expert Kun, want to communicate more about Baidu bid to promote friends, please login Yaorui (pinyin) point card mother or Baidu Yaorui. Please retain this copyright information when reproduced. )

Unit mark/Creative Labeling method

The plan tag method is not very useful, why do you say so? We can only mark the plan, but we don't really know what the plan is or what the keyword of the conversation is, or which keyword comes in. So in the subsequent data analysis will also have some limitations, this method I do not like, the following I give you to use the figure to say this method of operation.

The idea is to add the tag letter to the default access URL in the unit's corresponding originality, the default Access url+?+ list Price letter (unit name), this method is very simple, easy to operate, we can in the assistant batch mark and then bulk upload, here is not much nonsense, below we continue to say the second method.

Ii. Digital Labeling Method

Digital labeling method In fact, and the above method is the same as the basic principle, but the object of the operation is the keyword rather than creative, this method I am not very recommended to use, because this method can not be very intuitive to see which keywords bring the dialogue or deal, so do not recommend use. First, we explain to you:

The basic operation of the digital labeling method is to the account of the plan, unit, keyword assigned to the digital tag, and then the corresponding key words to mark, and the above creative mark of the operation is the same, then here will not continue to long-winded, the following we say I think a better way.

Code Construction method

Code construction method and the above digital notation is the same, the operation of the object is also a key word, I use the following diagram to explain:

This method tag can clearly see exactly which plan, unit, keywords bring the dialogue or the deal, then 11545.html "> We have this data will be able to clearly know each plan, unit, keyword ROI (return on investment), Then we are in the development of promotional strategies and optimization direction are available.

Now the method of monitoring is basically these three kinds, today we discuss this topic also so far, I will continue to share data analysis serial articles, if this article in what is not appropriate place, welcome friends to criticize correct!

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