Duplicated content and thin content are issues that can seriously impact a site’s ranking. Clustering allows us to prioritize the resolution of these issues in blocks rather than URL by URL, making the process much more efficient and manageable.
In an ecommerce site that offers different types of products
Such as clothing and accessories, we could create clusters for “product pages,” “category pages,” and “informational content pages.” If we identify that “product pages” have a high rate of duplication due to repeated descriptions or that content is sparse in viber database some categories, we could prioritize creating unique and more detailed content for those pages, thus improving the performance of the entire site.
To understand the crawl budget of the business
Crawl budget is a valuable resource that we need to manage carefully. By analyzing the percentage of URLs crawled by group, we can gain a better understanding of where Google is spending its time and, more importantly, identify the areas that the use of automation tools and data analysis are being under-crawled and understand why.
Imagine a news portal with thousands of published articles
By clustering URLs into “recent news,” “archive articles,” and “opinion pages,” we might see that Google is spending too much crawl budget on “archive articles,” leaving less resources for “recent news,” which actually needs to be crawled more frequently. This would indicate the need to adjust our crawl guidelines to better prioritize the most relevant content.
To evaluate crashes and core updates
Google core updates often have varying effects on different parts of a website. Instead of looking at aggregate traffic, breaking it down into clusters tg data allows us to more clearly see. A which areas are being positively or negatively impacted. Even if the entire site appears to be heading. S in the same direction, this technique can reveal underlying issues or provide valuable insights into algorithm behavior.
