How to use subdivision tools in Web Analytics

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All along, analysis and reporting have been on a general level, and it will be difficult to see what has an important or critical impact on your specific business. In fact, different types of visitors come to a Web site, they have the same intentions and role models. Obviously "subdivision" is the most important part of the analysis, which I have always kept in mind and have been mentioned in my blog.

So how to subdivide, Google Analytics provides the corresponding function, called "Advanced segmentation."

Click on it and you will see some default breakdown list. There are some pretty useful combinations here: new visitors vs. old visitors, paid search traffic vs. non-paid search traffic. All you have to do is choose what you need. You can immediately see that these metrics appear as pie charts above the report, and they are matched by a percentage of the response. Why does a paid search and a non-paying search add up to 100%? Because direct access to traffic and referral traffic will also be recorded in all traffic. You can compare these 4 indicators, when you do not want to look at the time you can quickly turn off, click on the rightmost X button.

All of this may feel like pediatrics, if you want to conduct a more in-depth analysis of your customer segments. GA also allows you to define metrics to get the data reports you want.

Here's an example: Create a unique subdivision to see "Brand search". Most search combinations are unreasonable, why? Because a number of search keywords have been repeated on their own sites (because certain count of search term for many site are rely on misspelling brand exist.). So this is a way to get a test of how many people are 11545.html "> our valuable visitors."

First add a new custom subdivision, then select the dimension, select "keywords" here, then select the starting conditions, such as including, precision matching, less than, to ... The beginning and so on. Different dimensions have different conditions. Now I enter the name of the brand, this is done. Of course don't forget to give your definition of the subdivision of a name, save. Is it easy?

Well, I can see that the traffic from the non-brand search is less than the average number of pages visited on average. Exclude keywords from brand search. I can see other long tail keywords. Their performance on the site, you can also think of some SEO or sem valuable keywords.

Segmenting your data does not mean focusing on a small subset of data but focusing on meaningful data. This will facilitate the transformation of ideas. Do you see the power of subdivision? This paper turns from www.webop.org