Specific analyses that we can perform with URL clusters clustering is not only useful for organizing and analyzing data, but it also becomes an indispensable tool for performing specific analysis in different SEO contexts. At Ikaue, we apply this technique in a variety of situations to optimize our approach and obtain more precise insights. Below are some concrete examples of how we use clustering in our projects:
In the initial analysis of a project or audit
When we start a new project or perform an SEO audit, one of our first actions is to display the total URLs, clicks and conversions by group. This gives us a clear view of the weights and distribution of the business, allowing us to quickly identify the most critical areas and optimization opportunities.
For example, in a shoe ecommerce site
We might find clusters for “category pages,” “product pages,” “blog,” and “corporate information pages.” By looking at clicks and conversions for each cluster, we might discover that category pages generate a lot of impressions but few conversions, which twitter data would indicate a potential problem with the navigation or call to action on those pages.
When analyzing crawling or indexing issues
Crawling and indexing issues never affect the entire site uniformly. They typically impact some areas more than others. By applying URL clustering, we can investing in lead nurturing tools more accurately identify which parts of the site are being affected, making it easier to implement targeted solutions.
An example would be an online course classifieds site
By clustering URLs into “course listing pages,” “course details,” and “category pages,” we might find that the “course details pages” are tg data having indexing issues while the others are crawling correctly. This could indicate specific technical issues on that part of the site, such as a misconfiguration of the robots.txt file or an error in the indexing tags.
