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Google Analytics Development

The topic tells how to make the Google Analytics interface even more convenient.

Introductions
The best usability indicator for the Internet statistics service, in my opinion, is self-sufficiency. That is, the less additional funds that have to be used to process the data collected by the system, the better. In this regard, from among the number of free statservices, I like Google Analytics most of all. Compared to the popular “Internet”, which I use for “safety net”, the analytics interface is more visual and advanced. Its key feature is, of course, a time filter that allows you to set any date interval and become familiar with the dynamics of indicators within it. All the data thus obtained can be copied or exported for further use, for example, in reports on the effectiveness of an advertising campaign. This is where my idea comes from.


Details of the essence
Seriously engaged in the development of websites, webmasters, SEOs and Internet agencies use many methods to attract new visitors: promotion in search and social networks, contextual and display advertising, flash mobs, e-mails and so on. Accordingly, in order to track the effect of all this, they need to remember the start date of an advertising campaign or event, so that later, after checking the analytics charts, they could draw conclusions that would help / not help. The more funds involved in the promotion of an Internet resource, the more starting points you need to remember. There is a need to write them down somewhere: in the media plan, a separate sign in Excel, in the problem book of Autluk, a diary, or simply on the first piece of paper that was saved from the rubble on the desktop. Personally, it infinitely annoys me.
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Rational offer
I suggest that analytics developers consider assigning labels for dates on a timeline. With this innovation, service users would be able to mark when a particular event started, and an express analysis of the effectiveness of the promotion would be much more convenient and clearer.

Google Analytics
Illustration

Source: https://habr.com/ru/post/43658/


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