The Complete Guide to Spam Score (Plus 3 Valuable Uses)Spam backlinks are like cancer for SEO.
Sure, a single spam backlink will hardly do any damage.
But once multiple spam backlinks spread to your website, the results can be devastating for your ranking.
In fact, spam links are one of the biggest contributors to loss of rankings, penalties, and deindexing by Google.
So it is essential that you prevent them at all costs .
Fortunately, there is a rating metric that helps keep backlink spam at bay.
It is called Spam Score .
And in today’s post, I’m going to give you everything you need to know about the Spam Score, how it works, and how you can use it to make sure spam doesn’t ruin your SEO efforts.
Spam Score is a rating system released by Moz in 2015 that predicts the likelihood of subdomain spam on a website.
It consists of 16 spam “flags,” and each flag corresponds to a specific spam indicator as defined by the Moz research team.
These flags help you determine whether a subdomain of a backlink pointing to your website is spammy (also known as unnatural) or not.
Don’t worry if this all seems a bit confusing at the moment.
We’ll go into more detail about each spam flag later in this post.
Why is the spam score important for SEO?
This is a metric you should pay vk database attention to.
Because it provides you with two valuable SEO-related pieces of information:
1. The spam potential of your subdomain(s)
2. The spam probability of the subdomains of your backlinks
Both of these pieces of information are crucial for creating pages and generating backlinks that will catapult you to the top of search engines.
But that’s not all the spam score does.
It also provides you with the framework to determine the spammyness of individual pages and ultimately ensure that your website is not penalized by search engines due to spam .
How does the spam score work?
It’s actually pretty simple and straightforward:
Spam Score uses Moz’s own Moz Index to director of marketing courtney hasselbach find subdomains and analyze them based on 16 different spam flags.
For each spam flag found, a number is added to the subdomain’s spam score.
The final spam score is then compiled by adding up all the individual spam flags for a given subdomain, for a total of 0-16.
The higher the score, the more likely it is spam.
But not always.
(I’ll explain why in the next section.)
Some important facts about the spam score
The spam score is cumulative in its relationship to the spam probability
Here’s something you may not know:
Almost all websites on the Internet have at b2c fax least one spam flag.
But that doesn’t guarantee that Google will consider it spam.
You see, the spam score is cumulative.