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The most time-consuming part of our job as SEO specialists remains Turkey Phone Number keyword research. Almost every SEO strategy starts with it, but also during the process, researching the organic playing field remains a must. However, if we look at the practice, it is rare that we really get the necessary time to do everything accurately.
That must be easier, right?
Fortunately, keyword research is an area that we can automate much of to make our work easier and data-driven. For example, Python can help us determine which keywords match each other so that we can cluster them. I’ll explain exactly how this works and at the end of the article I’ll give you the code in a Google Colab so you can use it yourself.
Keyword clustering, a major time killer
After drawing up a longlist, the largest part of keyword research Afghanistan WhatsApp Number List into play: merging these keywords to ensure that it is clear which keywords you can combine to build the most complete page possible. But clustering also remains an essential part of preventing cannibalism.
You can hardly get it right