One of the common mistakes you should avoid is creating rules that are as this could result in incorrect URL classification. Make sure that each rule is well-defin and focuses on a clear and representative part of the business. For example, a rule for product pages should be able to identify all URL variants that could correspond to products, without mixing other types of pages.
The order of the rules is another crucial aspect
The most specific rules should be at the top, follow by the most general ones. This is important because when applying the rules, each URL will be validat against the first rule; if it doesn’t match, it will move on to the next one, and so on. This process ensures that each URL is correctly classifi into the cluster that best represents it.
Where can we apply URL clustering?
URL clustering is a versatile technique that can be appli to almost any technology that handles data. Here are some of the most common options:
Spreadsheets : Using advanc functions like IFS in Google Sheets or Excel.
SQL : Implementing clustering using the CASE function in SQL queries.
JavaScript: Using conditional structures like switches to classify URLs in tools like Google Tag Manager or Node.js.
Looker Studio Using the CASE function
To create clusters within custom reports.
Python: Using regular expressions in scripts to process and classify URLs.
PHP: Applying regex in PHP code to categorize URLs.
Java: Implementing clustering logic in Java applications using regex and conditional constructs.
Each of these technologies offers different benefits depending on the context in which you use them. The choice of tool depends on your specific nes, but the important thing is that URL clustering can be integrat into any environment that requires SEO data analysis.
Example of URL clustering in Google Sheets
One of the easiest ways to start clustering URLs is by using Google Sheets. The IFS function is perfect for this purpose. Here is a simple example of how you could implement URL clustering in Google Sheets.
