We created a domain cleanliness score called ‘SpamZilla Score’ or ‘SZ Score’.  The purpose of the SZ Score is to establish a single metric to measure how clean each domain is.  When we use the term ‘Spam’ and how ‘Clean’ a domain is, this is in relation to the SEO industry.

We should also note that when doing SEO domain spam checking it can be quite subjective and each person might have more strict rules than another.  With our 2+ year history of selling domains within the SEO industry, we’ve used our knowledge to create what we think is the best data analysis, though we’re always tweaking and improving.

The SpamZilla Score uses a proprietary weighted algorithm created to measure the level of spam for a domain. Range is 1-100. ‘1’ represents a low level of spam.

Example of data points used:

  • Domain Age: An older domain receives a higher score.
  • Active History: The more activity found in a domains history relates to a higher score.
  • Redirects: A lower amount of redirects relates to a higher score.
  • Parked Pages: A lower amount of redirects relates to a higher score.

Good and Bad SZ Scores

  • Super Clean: 0-5
  • Very Clean: 6-15
  • Clean: 16-20
  • Questionable: 20+

Note that you’ll still find clean domains with a SZ 20+ score, but there will be fewer when compared to domains with a SZ 5 score.

Producing the SZ Score

When you start a SpamZilla job, all domains will be checked for spam, if SpamZilla locates spam on a domain it stops all other processing for that domain.  This also results in domains marked as Spam to not have a SZ Score.  The reason for this is to create a consistent SZ Score the same dataset must be used for all domains.  This also makes SpamZilla faster at processing a list of domains.

If you would like to generate the SZ Score for a domain, there are two buttons in the SpamZilla interface you can use (please see the image below).