What Web Analytics Should Be

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. Part 2
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What Web Analytics Should Be. Part 2
Completo Editorial
Completo Editorial
August 2, 2013
Content
Attraction
Involvement
Conversion
Retention
Example from practice
From the analysis of theory in the previous article, south korea consumer email list we will move on to practice. We will see in practical metrics how it would be possible (and how we ourselves do it), for example, to track some actions of people.


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Attraction
In attraction, in particular, in contextual advertising, everyone knows the CTR metric: how many ads were shown, how many ads were clicked. This is a great metric, but you don’t need to put it at the top of the pyramid. It is incorrect, for example, to say that our contextual advertising was effective because its CTR was 3 and 25. Another example is 11% refusals for contextual advertising - in principle, they mean absolutely nothing for business. There may be problems in further chains that will reduce your 11% refusals and 10% CTR to nothing. At the same time, CTR works great for contextual advertising, it is one of the metrics at the first stage.

For the email category at the initial stage, i.e. the attraction stage, such indicators as the number of subscribers and subscription frequency are important. In the field of Internet PR, both GRP (Gross Rating Point) and the distribution of the most unique message to a certain group, audience work well. If the message contains any tags, links, clicking on them also gives a good result. For Internet PR, the number of unique people who actually saw your message from the entire mass of people, maximally targeted to it, is a normal assessment. In the field of Internet PR, it is quite difficult to make measurements, due to this, indirect metrics can be used in further research along the funnel.