Windy Day Hat At Google In Rafters

Windy Day Hat At Google


from Search Engine Roundtable https://ift.tt/2VT524M

Facebook Identifies 2021 Topics and Trends via @martinibuster

Facebook published a 40 page report that forecasts important consumer topics and trends for 2021

The post Facebook Identifies 2021 Topics and Trends via @martinibuster appeared first on Search Engine Journal.



from Search Engine Journal https://ift.tt/33VkyS9

The Correlation Between Authoritative Links and Ranking [SEO Study]

Posted by EricEnge

Over the past five years, our team at Perficient has conducted continuous studies to evaluate the lasting impact of links on rankings. These studies consistently show that links matter as a ranking factor, but they also show that Google is dialing up their emphasis on the quality/authority of those links. We can say this because of the strong correlation our most recent studies show between the Domain Authority (DA) and Page Authority (PA) of linking pages and the rankings of pages receiving the links.

Each year, Moz has graciously provided us with access to their Link Explorer index, where we obtain the raw data to perform our analysis. In these studies, we perform Spearman Correlation analyses to show how the following variables correlate with ranking:

  • Number of links to the ranking page
  • DA of links to the ranking page
  • PA of links to the ranking page

Please note that Moz has never compensated us for including, or asked us to include, the DA and PA calculations — we have chosen to do that of our own volition. In fact, Moz staff only learned that we had done so in early October of 2020, even though we published the post with our findings on April 16, 2020 (to be honest, I was too busy to catch up with the Moz team and let them know). In short, there is no quid pro quo here.

Study methodology

Go ahead and jump down to the study results section if you just want to see how things turned out!

We have been conducting this study on a nearly annual basis since May of 2016. In 2016, we started with an initial query set of 6K queries, but have expanded to 32K queries over time. The queries were obtained by pulling keyword ranking reports for web sites in three different target market sectors, and then manually reviewed to remove any queries that were poorly formed or not relevant to that sector. The market sectors we looked at were technology, healthcare, and finance.

Here is the breakout of the size of the query sets across the five studies we have done so far:

  • May 2016: 6K queries
  • Aug 2016: 16K queries
  • May 2017: 16K queries
  • August 2018: 27K queries
  • December 2019: 32K queries

Each of the expanded query sets includes all of the queries from the prior studies, which allows us to track the results on a consistent basis all the way back to 2016.

In putting together this study, I also consulted with two experts in statistics: Paul Berger of Bentley University, and Per Enge, formerly of Stanford University. Because of the nature and structure of the data set, it was decided that the best approach was to calculate the quadratic mean of the Spearman Correlation for all the queries in the study.

I went with this approach because it uses the square of the correlation variables (where the correlation value is R, the quadratic mean uses R squared). This is important because the correlation variable R is useful to know, perhaps, but it does not allow you to make a specific statement about what it means in real world terms.

The R squared value, however, is more interesting. If you have an R squared value of 0.56, for example, we can say that 56% of the variability of the observed behavior Y (in our case, rankings) is caused by the test variable X (in our study, count of links, or DA/PA).

Here’s a visual on how this calculation process works:

How a Quadratic Mean Calculation Works

Summary of the results

As part of the study, we pulled data on the growth of the Link Explorer index over time. Since we have data on the index size over three years for our 16K query set, we looked at this snapshot of the data to show how the Link Explorer index has expanded:

Growth of the Links Explorer Index

One of the core purposes of the study was finding the correlation between the number of links a page has and its ranking. Of course, the relevance and quality of the content are the most important factors in ranking — they have to be. That noted, here is the quadratic mean calculation result for how the quantity of links a page has correlates to its ranking:

Quantity of Links as a Ranking Factor

This score is a bit down from past years (the August 2018 score was 0.293, but still indicates that the number of links to a page correlates in a meaningful way with the ranking of that page).

However, we also took a close look at the correlation of Moz DA and PA with the ranking of a page. Here are the results that we saw for that evaluation:

Authority of Links as a Ranking Factor

This shows that Moz DA and PA are both better predictors of ranking position than the total link count. The scores of 0.328 and 0.307 are both very strong correlation scores in an environment as complex as organic search.

This is an important finding, as it lines up with what many of us in the SEO community have believed for a long time: that the sites you get links from matters more than the sheer number of links. In addition, it's likely that most of the pages ranking in our query set that had a large number of links likely had a significant number of higher authority links as well.

Please note that the Moz team has let me know they are working on an update to the algorithm that powers PA, which will be released in the near future, and they believe that this will improve these results.

Conclusion

This data confirms that obtaining links from more authoritative sites has more value than obtaining a large quantity of links. Google's perspective of what makes better links is likely more nuanced than a simple metric like PageRank (the Google metric that DA and PA are most similar to). This may include evaluation of relevance to the topic, and the overall quality perception of the linking site.

As SEO professionals, increasing our own site quality and authority remains one of our core responsibilities in helping our sites, or our client's sites, grow.

You can see the full original Links as a Ranking Factor study here.

Important Note: Google does not have access to Moz's DA and PA metric data and Google does not use Moz DA or Moz PA as a ranking factor.


Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!



from The Moz Blog https://ift.tt/3mZ8Gpz

Google: Noindexed Pages Can Impact Core Web Vitals via @MattGSouthern

Google affirms that noindexed pages can still be used to evaluate a site’s Core Web Vitals, which will soon become search ranking factors.

The post Google: Noindexed Pages Can Impact Core Web Vitals via @MattGSouthern appeared first on Search Engine Journal.



from Search Engine Journal https://ift.tt/33V940N

Daily Search Forum Recap: December 8, 2020

Here is a recap of what happened in the search forums today, through the eyes of the Search Engine Roundtable and other search forums on the web...



from Search Engine Roundtable https://ift.tt/2VQwvnE

10 Important 2021 SEO Trends You Need to Know via @MrDannyGoodwin

What's 2021 going to be like for SEO professionals? Check out 10 important trends you need to know from 42 top experts in the field.

The post 10 Important 2021 SEO Trends You Need to Know via @MrDannyGoodwin appeared first on Search Engine Journal.



from Search Engine Journal https://ift.tt/2VPoFe9

How Misspelled Keywords Affect SEO via @RyanJones

Algorithms are constantly getting updated to give searchers the best user experience. Is using misspelled keywords still a valid strategy for SEO? Find out here.

The post How Misspelled Keywords Affect SEO via @RyanJones appeared first on Search Engine Journal.



from Search Engine Journal https://ift.tt/380qyKL

Link Building: How to Understand Your Niche With These 10 Questions via @JulieJoyce

A better understanding of who you want to market to will make link building more effective. Asking these 10 questions can help you determine that.

The post Link Building: How to Understand Your Niche With These 10 Questions via @JulieJoyce appeared first on Search Engine Journal.



from Search Engine Journal https://ift.tt/39Oz3uN

Learn from Our Top 10 SEO Sessions & Master Classes at eSummit via @MrDannyGoodwin

Learn actionable SEO insights from top professionals in the industry. SEJ eSummit has keynotes, master classes, interactive sessions, and so much more.

The post Learn from Our Top 10 SEO Sessions & Master Classes at eSummit via @MrDannyGoodwin appeared first on Search Engine Journal.



from Search Engine Journal https://ift.tt/3oBREy6

Google Crawl Priority: Additional Unique & Important Value Of Page

Google's John Mueller said on Twitter that if he had to simplify crawling priority, how Google prioritizes how it crawls the web, it would not do so by the size of a site. Instead, he would prioritizes how it crawls the web based on "the additional unique & important value provided by the pages."


from Search Engine Roundtable https://ift.tt/2Lk1jeD

Google Tests Zero Results On Desktop Again?

Back in March 2018, Google began testing showing no results, aka zero results, in the Google search results. Google then reverted it after the backlash and then launched it only on mobile for only time/date, conversion or math related queries. Well, now it seems Google may be testing showing it on the desktop results.


from Search Engine Roundtable https://ift.tt/2IpPodZ

How to Get More SEO Insights from Google Data Studio with SEMrush via @lorenbaker

Learn advanced ways to use Google Data Studio with SEMrush to better present insights and improve reporting across your SEO activities.

The post How to Get More SEO Insights from Google Data Studio with SEMrush via @lorenbaker appeared first on Search Engine Journal.



from Search Engine Journal https://ift.tt/2VUeTr7