Web analytics


Off-site web analytics[edit]



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Off-site web analytics[edit]




This section needs expansion. You can help by adding to it. (September 2014)

Off-site web analytics is based on open data analysis, social media exploration, share of voice on web properties. It is usually used to understand how to market a site by identifying the keywords tagged to this site, either from social media or from other websites.

By using HTTP Referer, webpage owners will be able to trace which are the referrer sites that helps bring in traffic to their own site.


Common sources of confusion in web analytics[edit]

The hotel problem[edit]


The hotel problem is generally the first problem encountered by a user of web analytics. The problem is that the unique visitors for each day in a month do not add up to the same total as the unique visitors for that month. This appears to an inexperienced user to be a problem in whatever analytics software they are using. In fact it is a simple property of the metric definitions.

The way to picture the situation is by imagining a hotel. The hotel has two rooms (Room A and Room B).






Day 01

Day 02

Day 03

Total

Room A

John

John

Mark

2 Unique Users

Room B

Mark

Anne

Anne

2 Unique Users

Total

2

2

2

?

As the table shows, the hotel has two unique users each day over three days. The sum of the totals with respect to the days is therefore six.

During the period each room has had two unique users. The sum of the totals with respect to the rooms is therefore four.

Actually only three visitors have been in the hotel over this period. The problem is that a person who stays in a room for two nights will get counted twice if you count them once on each day, but is only counted once if you are looking at the total for the period. Any software for web analytics will sum these correctly for the chosen time period, thus leading to the problem when a user tries to compare the totals.


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