As you can see, this clustering is capable of giving you important information in almost any analysis scenario. It will allow you to go beyond the global data without getting to the granular data.
How do we cluster URLs?
Although there are auto clustering systems bas on finding patterns in the data detail, usually the first URL clusterings are done by using regular expressions (regex) , a powerful tool to define search patterns that classify your URLs into different categories or clusters. Regular expressions allow you to create precise rules that identify which URLs belong to each group, ensuring that each cluster is as accurate and representative of the business as possible.
To implement clustering
You must first define a set of order rules that classify your URLs in a hierarchical fashion. It is critical that the order of these rules goes from the most specific to the most general. For example, if you have a rule that identifies product pages and another band database that identifies category pages, the first rule must be more specific than the second, ensuring that each URL is validat in the correct sequence. This approach prevents errors and ensures that each URL ends up in the correct cluster.
Here is an example of
A list of regex rules for a fictitious website (one that is especially easy to cluster, yes, but it is for better understanding):
These expressions will allow you to group کدام یک برای Lead Gen بهترین است؟ your URLs efficiently, making it easier to analyze each group according to the metrics that interest you most.
Things to consider when creating your clustering rules
When creating your clustering rules, it’s essential that they are as accurate as possible. Each rule should be design to capture a specific segment of your tg data business, with each cluster clearly representing a part of your site. This approach ensures that the data is reliable and that each cluster provides accurate insights into its corresponding category.
