Calculating Click-through Rate in Search Performance Graphs

The click-through rate is a measure of the number of clicks divided by the number of total searches in a search performance graph. But what constitutes a search in this context?

To determine what counts as a search, the software looks for patterns in the user's search history to determine if the current search is an extension or abbreviation of a previous search. If the search is an extension or abbreviation of the previous search, then it is not counted as a new search.

The time frame in which this calculation takes place is 60 seconds. So, if a user performs a search and then performs another search within 60 seconds, the software will determine if the second search is an extension or abbreviation of the first search and only count the search if it is deemed to be a new search.

For example, if a user performs the following searches:

lou

loung

In this case, the second search "loung" will be counted as a new search since it was performed after 60 seconds had passed since the first search "lou".

Another example is:

lou

loung

lou

In this case, only the search "loung" will be counted as a new search, since "lou" is an abbreviation of the previous search "loung".

The main purpose of this calculation is to provide a more accurate representation of the user's search behavior. By avoiding tracking searches that are extensions or abbreviations of previous searches, the software provides a better understanding of the user's true intent when searching.

In conclusion, the calculation of click-through rate in search performance graphs is a complex process that involves a detailed analysis of the user's search history. By considering the time frame between searches and the relationship between each search, the software is able to provide a more accurate representation of the user's intent.