Post by account_disabled on Feb 25, 2024 2:53:01 GMT -7
The to confirm when is it the right time to be using something like DA or PA or a raw link count metric like number of linking root domains or something like Spam Score or a traffic estimation these types of metrics. So Im going to walk you through kind of these three Page Authority Domain Authority and linking root domains just to get a refresher course on what they are. Page Authority and Domain Authority are actually a little complicated. So I think thats worthwhile.
Then well chat about when to use which metrics. So Ive got Czech Republic Mobile Number List sort of the three primary things that people use link metrics for in the SEO world and well walk through those. Page Authority So to start Page Authority is basically you can seemetrics in here linking URLs linking root domains anchor text linking pages followed links nofollowed links s s new versus old links TLD domain name branded domain mentions Spam Score and many many other metrics. Basically what PA is is its every metric that we could possibly come up with from our link index all taken together and then thrown into a model with some training data.
So the training data in this case quite obviously is Google search results because what we want the Page Authority score to ultimately be is a predictor of how well a given page is going to rank in Google search results assuming we know nothing else about it except link data. So this is using no onpage data no content data no engagement or visit data none of the patterns or branding or entity matches just link data. So this is everything we possibly know about a page from its link profile and the domain that page is on and then we insert that in as the input alongside the training data. We.
Then well chat about when to use which metrics. So Ive got Czech Republic Mobile Number List sort of the three primary things that people use link metrics for in the SEO world and well walk through those. Page Authority So to start Page Authority is basically you can seemetrics in here linking URLs linking root domains anchor text linking pages followed links nofollowed links s s new versus old links TLD domain name branded domain mentions Spam Score and many many other metrics. Basically what PA is is its every metric that we could possibly come up with from our link index all taken together and then thrown into a model with some training data.
So the training data in this case quite obviously is Google search results because what we want the Page Authority score to ultimately be is a predictor of how well a given page is going to rank in Google search results assuming we know nothing else about it except link data. So this is using no onpage data no content data no engagement or visit data none of the patterns or branding or entity matches just link data. So this is everything we possibly know about a page from its link profile and the domain that page is on and then we insert that in as the input alongside the training data. We.