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SEO Ranking Factors & Correlation: When a Metric is correlated with Google Rankings


In this opportunity we are going to talk about SEO ranking factors and correlation. In the other words, we want to see how correlation can impact on SEO factors. If you have likely seen, over the course of your career in the SEO services, you will see how much SEO works with correlation stuff and how many companies put these out. Actually there are also so many myths about correlation, but aside from that let’s figure out a few smart ways to use and understand the data at hand.

What is correlation good for?

So, what’s correlation actually good for? We know a bunch of myths, but actually that do not work. So, here are some things that correlation is good for.

1. IDing the elements that more successful pages tend to have

When you look across a correlation, you will find lots of pages are twice as likely to have X and rank highly as the ones that don’t rank highly which you can use this finding as a good piece of data.

2. Watching elements over time to see if they rise or lower in correlation

it is important to keep your eyes on links to see if they raise or lower, and then we can say:”Oh, does it look like links are getting more or less influential in Google’s rankings? Are they more or less correlated than they were last year or two years ago?” If the links drop dramatically, you may test the power of links again and it’s the time for you to try another experiment. Then, see if links still move the needle or if they’re becoming less powerful or if it’s merely because the correlation is dropping.”

3. Comparing Sets of search results against one another we can identify unique attributes that might be true

The example above shows that in a vertical like news, we find that domain authority is much more important than it is in fitness; this is where smaller sites potentially have much more opportunity or dominate. Other thing that we can figure out is that https is not too suitable to stand out in news since everybody has it. On the other hand, it works well in fitness as it produces a more stand out result and people who do have it will do it much better or maybe they also invest more in their sites.

4. Judging Metrics as a Predictive Ranking Ability

One question may come up to your mind when you’re looking at a metric like domain authority, such as how good is that at telling me on average how much better one domain will rank in Google versus another? In fact, you can see the number is a good indication of that. When the number goes down, then domain authority is less predictive less sort of useful for me. Conversely, it will be more useful if it goes up. A study is conducted to look at traffic metrics with Alexa Rank and SimilarWeb and which ones are best correlated with actual traffic. The result shows that Alexa Rank is awful while SimilarWeb is better.

5. Finding Elements to Test

You will be amazed to see large images embedded on a page that’s already ranking on page 1 of search results in the first few. This is why we need correlation, especially in SEO when it comes to ranking factors or ranking elements might be misleading.

So, now that you know the area that correlation is good for. However, you still need to be careful as correlation in SEO can be very misleading, especially when it comes to ranking factors or ranking elements. After all, with this explanation, hopefully you can understand how to use and not to use that data.