Moz announced an dramatic update to their Domain Authority metric that will improve its ability to catch link sellers and other spammers. Domain Authority (DA) has long been used to calculate prices for links. This change may disrupt the traffic in paid links but it may improve its usefulness for SEOs who have longed for a more accurate measure of quality.
Will Moz DA Devalue Private Blog Networks?
Devaluing links from sites that sell links is an express goal for Moz’s new Domain Authority metric.
One Twitter user acknowledged this in a tweet:
“The problem is that there are so many guys selling DA 30-40 links for 50$ each and so many fall for that, but behind those DA 40 links are GSA spammed domain and later buyers wonder why they received Google Manual action. Tl’dr – DA is an excellent way to cheat newbies.”
Russ Jones, Principal Search Scientist at Moz responded in a tweet:
“Yep, and the new DA addresses that. We are able to devalue link sellers, link buyers, comment spam, link islands, links from untrafficked sites, and a whole bunch more link schemes. It is truly a dramatic change.”
I asked Moz’s Ross Jones if the new Domain Authority will catch Link Sellers. Here is what he said:
We specifically targeted link sellers as one of the groups. We both seeded known link sellers that don’t rank for anything into the bottom of SERPs so that the neural network would learn to classify them lower and added specific ranking factors.
Then he said this about devaluing Private Blog Networks:
PBNs represent a double-edged sword for Domain Authority. If a webmaster creates a PBN that blocks our crawlers, they will artificially decrease their Domain Authority. If they intend to sell links from their PBN, this is a loss.
On the other hand, if they allow us to crawl the PBN, then we have specific variables that target sites that “control their backlinks”. PBNs will remain somewhat elusive, no doubt, but we are certainly better at devaluing them than before.
Moz’s Spam Score Didn’t Catch Link Spam
Moz’s spam score has been called ineffectual by some because it didn’t catch link spam. Russ Jones clarified that the spam score was never meant to catch link spam. The Spam Score is a measurement of on-page factors only.
This is what Moz’s Ross Jones tweeted:
“…the Spam Score is a measurement of likelihood of being deindexed or penalized, and it is totally based on on-site metrics (not links). Most people get confused and think it detects link spam. It doesnt and it isn’t supposed to.”
Moz Fixes a Shortcoming in DA
One of my concerns about Moz Domain Authority has been that it is biased against sites that do not try to rank but are nonetheless high quality websites.
DA is a measurement of factors that make a site rank. That gives it a bias against sites that are important but don’t try to rank and consequently lack the signals particular to competitive sites.
Five years ago I observed:
“While Rank Metric tools can be useful tools to use, they… only measure characteristics of sites that tend to rank well.
This particular site is a non-profit organization that has been around since before the Internet existed. The non-profit site does not try to rank, so consequently it was missing the characteristics of sites that tended to rank well and ended up scoring poorly on that third party metric.”
A company I consulted with had been avoiding working on projects with high quality sites that had low Domain Authority scores. They were missing out on opportunities to spread their message to a relevant audience.
And this is a bias that the new Moz DA has appeared to address.
According to the official announcement by Moz:
“…the new Domain Authority is better at understanding sites which don’t rank for any keywords at all than it has in the past.”
This is an important improvement that may correct a longstanding bias in Domain Authority. Google may already be creating link graphs that are based on topics and niches, which have shown to generate more accurate rankings and also make it easier to find link selling websites.
Will Moz DA Rank Links More Effectively?
The kind of analysis that can better focus on small sites that don’t tend to rank is very similar to the latest link ranking algorithms.
Moz is understandably quiet on the specifics of their new link analysis algorithms. Moz did say they have switched to neural networks for the link calculation.
“Rather than relying on a complex linear model, we’ve made the switch to a neural network. This offers several benefits including a much more nuanced model which can detect link manipulation.”
Spam Score Integrated into Domain Authority Link Analysis
Adding the Spam Score to the DA analysis process is a sophisticated update to DA and could vastly improve the quality of the Domain Authority metric. This means that a DA score could more accurately portray the actual quality of a site, rather than simply link count type metrics.
Here’s what Moz announced:
“In addition to looking at link counts, we’ve now been able to integrate our proprietary Spam Score and complex distributions of links based on quality and traffic, along with a bevy of other factors.”
That’s a considerable improvement to the Moz Domain Authority metric.
Moz Domain Authority May Become More Useful
Moz Domain Authority is a popular metric particularly with link sellers and those who deal in Private Blog Networks. Domain Authority is also popular with SEOs but less popular with SEOs who understand the limitations of the tool.
This update may change that equation by making Domain Authority less relevant to link buyers and more relevant to SEOs.
The reason Moz’s Domain Authority will be more relevant is because it appears to have incorporated link analysis improvements (including moving to a neural network), which makes it more relevant to how links may be analyzed by a modern search engine.
Domain Authority is also incorporating the Spam Score metrics which should improve its analysis of relationships between websites. The new Domain Authority metric will debut next month (March 2019).
Images by Shutterstock, Modified by Author
Screenshots by Author, Modified by Author
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