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- Is it easy to Rank if Pinterest Result is in top 10?
- Hi, Explained preety much in title,
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- I am doing keyword research for my new blog, I see Pinterest is in top 10,
- Can I go for the Keyword and write 1000 words article or Just go for another keyword?
- Thank you.
- I think having a Pinterest page in the top 10 is like having a forum thread in the SERP's. A good sign.
- I would probably go for the keyword, especially if it entails only having to write an article. Go for it!
- Yes its a good sign. Not only pinterest but other parasites as well
- That's not a good sign..
- That's a great sign..
- Go for it.
- Websitewww.authorityboost.net
- Agreed, if that was my KW, I would be happy :D Go for it.
- ?
- yes, you can probably work on that keyword. It's a great sign of low competitive niche :)
- NGram Analysis & Co-Occurrence
- This first and most simple approach that we can apply to our SERP content is an analysis of nGram co-occurrence. This means we’re counting the number of times a word or combination of words appears within our corpus.
- Why is this useful?
- Analyzing our SERPs for co-occurring sequences of words can provide a snapshot of what words or phrases Google deems most relevant to the set of keywords we are analyzing.
- For example, to create the corpus I’ll be using through this post, I have pulled the top 100 results for 100 keywords around yoga
- This is just for illustrative purposes; if I was doing this exercise with more quality control, the structure of this corpus might look slightly different.
- All I’m going to use now is the Python counter function, which is going to look for the most commonly occurring combinations of two- and three-word phrases in my corpus.
- The output looks like this:
- Ngram counts from a Yoga SERP
- You can already start to see some interesting trends appearing around topics that searchers might be interested in. I could also collect MSV for some of these phrases that I could target as additional campaign keywords.
- At this point, you might think that it’s obvious all these co-occurring phrases contain the word yoga as that is the main focus of my dataset.
- This would be an astute observation – it’s known as a ‘corpus-specific stopword’, and because I’m working with Python it’s simple to create either a filter or a function that can remove those words.
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