Tracking the number of unique visits to a website is crucial for measuring and analyzing its performance. A unique visit is defined as a user's first visit to the website and subsequent browsing activity. If a visitor with the same IP address accesses the website again at a later time, this is not counted as another unique visit. This ensures that each visitor is only counted once in the unique visit count, enabling accurate analysis of visitor statistics.

A key metric in website analytics is the definition of users. Users are generally defined as individual people who have visited a website. However, this definition can vary depending on the purpose of the analysis. For example, a user can also be defined as a unique device ID or an IP address.
Another important aspect of the analysis is the time frame. Traffic and user behavior analysis can be conducted for different time periods, such as daily, weekly, or monthly. This makes it possible to track trends and changes in user behavior over time.
An important metric often considered in connection with visitor behavior is the bounce rate. This metric indicates how many visitors leave a website without viewing any further pages. A high bounce rate can suggest that the website's content is not relevant or engaging enough.

The terms "unique visitors," "visits," and "page impressions" are often confused. They are directly related, but each refers to completely different parameters in online marketing:
Number of people visiting a website (multiple visits by the same person are not counted here)
Number of visits to a website (including multiple visits by one person)
Number of page views on a website (each page viewed, including duplicate page views)
The following example should illustrate this. Let's assume that a website receives the following number of visits in one day:
people 1 Visit the website at 10:00 AM, 13:00 PM and 17:00 PM and access two subpages.
Around 19:00 PM visited people 2 the website and accesses 13 subpages.
people 3 Visit the website around 8:00 a.m. and 11:00 a.m., accessing three subpages in one instance and seven in the other.
The evaluation result would look like this:
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