Consider the creation of guides or long-form content for competitive topics. This can work to create landing pages when you have no clue.
You can test this approach and see what works.
Write first, optimise later. You get more content ideas this way and you can extract GSC data to see what you are missing out.
Look for high Impressions and low Clicks. More in the tweet above linking to my other thread.
Want some solid proof of abstraction and topical authority?
This set of unbranded queries has a CTR of almost 50%, you know why? Low competition and plenty of featured snippets (that I stole).
Tools lack data, be creative with the exercises I illustrated in this topic. This is more effective in non-English speaking countries because you are more likely to face a weaker competition.
This isn't always the case uh
My main suggestions are to use Google Search Console data and creating topical maps for abstraction.
I would suggest you Notion and a mind mapping tool, that's it. For the rest I just use Python and sometimes Google Sheets.
I am currently working on something more advanced in the meanwhile, stay tuned for more content!
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Some personal considerations about the new trends in #SEO and the influence of coding and data in my journey.
This is a personal thread focused on explaining how different subjects can influence you π§΅
I started with #Python relatively early, I was into R before. The concept doesn't change either, they are just tools.
I decided to get into coding because I felt it was my route. I am improving everyday but I am still far from the biggest names in the industry or elsewhere.
I've always noticed that data are still misused by companies and there is a lot of misinformation.
Think about all the people using Excel as a database or SEO case studies with super weak proofs.
Some important #Python concepts that you need to understand, especially if you are anΒ #SEO Specialist and have no clue about this sort of stuff.
You have to do some research, this is just an introduction.
A thread containing the essential that you need for Python π§΅
Lists. Used to contain multiple elements in a single variable, including different types, i.e. numbers with letters etc.
You will often work with lists as they are everywhere.
E.g.
example_list = ["dog", "cat"]
Sets. You probably studied them at school, I am quite sure.
It's a collection of items without duplicates. Therefore, if you want to remove duplicates from a list you can convert to a set first and then retransform into a list.