See which organic keywords actually drive conversions
Replace (not provided) with actual keywords and monitor their specific performance metrics in Google Analytics.
Chances are, you’ve used one of the more popular tools such as Ahrefs or Semrush to analyze your site’s backlinks.
These tools trawl the web to get a list of sites linking to your website with a domain rating and other data describing the quality of your backlinks.
It’s no secret that backlinks play a big part in Google’s algorithm, so it makes sense as a minimum to understand your own site before comparing it with the competition.
While using tools gives you insight into specific metrics, learning to analyze backlinks on your own gives you more flexibility into what it is you’re measuring and how it’s presented.
And although you could do most of the analysis on a spreadsheet, Python has certain advantages.
Other than the sheer number of rows it can handle, it can also more readily look at the statistical side, such as distributions.
In this column, you’ll find step-by-step instructions on how to visualize basic backlink analysis and customize your reports by considering different link attributes using Python.
Not Taking A Seat
We’re going to pick a small website from the U.K. furniture sector as an example and walk through some basic analysis using Python.
So what is the value of a site’s backlinks for SEO?
At its simplest, I’d say quality and quantity.
Quality is subjective to the expert yet...
Read Full Story: https://www.searchenginejournal.com/backlink-analysis-using-python/443282/
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