SEO trick

Survey and Correlation Data

Every two years, Moz surveys the opinions of dozens of the world’s brightest search marketers and runs correlation studies to better understand the workings of search engine algorithms. We gather this data to gain insight into the factors that may help—or hurt—a website’s visibility in search engines. Note that these factors are not “proof” of what search engines use to rank websites, but simply show the characteristics of web pages that tend to rank higher.

This year, Moz surveyed over who provided expert opinions on

Below we present the results of our 2013 Correlation Study. Select one of the 10 categories at the top of the chart to focus on those characteristics.

Search Engine Correlation Data

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Dtrick SEO TRICKS

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Page Authority (PA)
0.39
# of Google +1’s
0.30
# Unique cblocks Linking to the Page
0.29
# of Unique IPs Linking to the Page
0.29
# of Root Domains Linking to the Page
0.29
# of Root Domains Linking to Page w/ Partial Match Anchor Text
0.29
# of Subdomains Linking to the Page
0.28
# of Root Domains Linking to Page w/ Exact Match Anchor Text
0.28
# Unique cblocks w/ Followed Links to the Page
0.28
# Unique IPs with Followed Links to the Page
0.28
# of Unique Domains w/ Followed Links to a Page
0.28
# of External Links to the Page (included Followed And Nofollowed)
0.28
# of Unique Domains w/ Followed Links to the Subdomain
0.27
# of Subdomains w/ Followed Links to the Subdomain
0.27
The MozRank of the Subdomain of the URL
0.27
# of External Pages Linking to Page w/ Partial Match Anchor Text
0.27
# of Root Domains Linking to the Subdomain
0.27
# of Subdomains Linking to the Subdomain
0.27
# of External Pages Linking to Page w/ Exact Match Anchor Text
0.27
Sum of Facebook Shares, Likes, Comment
0.27
Domain Authority (DA)
0.27
# of Juice-Passing External Links to the Page
0.27
# of Facebook Shares
0.27
MozRank of External Links w/ Exact Match Anchor Text
0.27
Subdomain MozTrust
0.27
MozRank Passed by External Links w/ Partial Match Anchor Text
0.26
# of Followed Linking Root Domains to the Domain
0.26
# of Unique IPs w/ Followed Links to the Domain
0.26
# of cblock w/ Followed Links to the Domain
0.26
# of Root Domains Linking to the Domain
0.26
# of Unique IPs Linking to the Domain
0.26
# of Unique cblocks Linking to the Domain
0.26
MozRank of the Root Domain
0.26
The Portion of the Pages’s MozRank Coming From External Links
0.26
Portion Subdomain MozRank From External Links
0.26
MozTrust of the Root Domain
0.25
# of External Links (Followed And Nofollowed) to the Subdomain
0.25
# of Juice-Passing External Links to the Subdomain of the URL
0.25
Portion of Root Domain MozRank from External Links
0.25
Page MozTrust
0.25
# of Total External Links to the Root Domain
0.24
# of Juice-Passing External Links to the Domain
0.24
# of Facebook Comments
0.24
# of Facebook Likes
0.23
MozRank Passed by all Links w/ Exact Match Anchor Text
0.23
MozRank Passed by all Links w/ Partial Match Anchor Text
0.23
# of Links (Juice-Passing Or Not, Internal Or External) to the Page
0.22
Combined MozRank of all Pages on the Domain
0.22
Combined MozRank of all Pages On The Subdomain
0.22
Total Links (including Internal And Nofollow Links) to the Domain
0.22
# of Followed Links (Both Internal And External) to the Domain
0.22
# of Linking Pages to Page w/ Exact Match Anchor Text
0.22
Total Links (including Internal And Nofollow) to the Subdomain
0.22
# of Unique Subdomains w/ Followed Links to the Domain
0.22
# of Juice-Passing Links (Internal Or External) to the Page
0.22
# of Linking Pages to Page w/ Partial Match Anchor Text
0.22
# of Root Domains Linking to Domain w/ Partial Match Anchor Text
0.22
Page MozRank
0.21
# of Links to the Sub-Domain in Last 30 Days in FWE
0.21
# of Tweets From Topsy
0.21
# of External Pages Linking to Domain w/ Partial Match Anchor Text
0.20
# of Full Domain Mentions in the Last 30 Days in FWE
0.20
Exact Match .com Domain
0.20
# of Pages Linking to Domain w/ Partial Match Anchor Text
0.19
# of Links in the Last 30 Days to the Root Domain in FWE
0.19
Page is Topsy Influencial
0.17
# of Mentions in the Last 30 Days of the Domain Name in FWE
0.17
# of Internal Pages Linking to Domain w/ Partial Match Anchor Text
0.16
Exact Match Domain
0.16
# of Links in the Last 30 Days to the URL in FWE
0.15
# of Internal Links on Page
0.14
# of Follow Links on Page
0.14
Body Text Similarity to Keyword (Language Model)
0.13
# of Links on Page
0.13
# of Root Domains Linking to Domain w/ Exact Match Anchor Text
0.13
# of External Linking Pages w/ Exact Match Anchor Text
0.13
Keyword Usage in Title Tag (tf-idf)
0.13
Keyword Usage in H1 (tf-idf)
0.12
Total # of Characters in the HTML Code
0.12
Keyword Usage in Body Text (tf-idf)
0.12
MozRank Passed by all Internal Links w/ Partial Match Anchor Text
0.11
# of Internal Pages Linking to Page w/ Partial Match Anchor Text
0.11
# of Pages Linking to Domain w/ Exact Match Anchor Text
0.10
MozRank Passed by all Internal Links w/ Exact Match Anchor Text
0.10
Keyword Usage in Meta Description (tf-idf)
0.10
# of Internal Pages Linking to Page w/ Exact Match Anchor Text
0.10
# of Characters in Body Copy
0.09
# of Indexed Pages On The Site in The Last 30 Days in FWE
0.09
H1 Similarity to Keyword (Language Model)
0.08
Title Tag Similarity to Keyword (Language Model)
0.08
Meta Description Similarity to Keyword (Language Model)
0.08
# of No Follow Links on Page
0.07
# of Img Tags
0.06
# of Partial Matches in Domain Name (Pmd)
0.06
# of External Nofollow Links on Page
0.06
# of Internal Pages Linking to Domain w/ Exact Match Anchor Text
0.06
# of Partial Matches in Full URL
0.06
# of Internal Nofollow Links on Page
0.05
# of External Links on Page
0.04
Keyword Usage in H2 Tag (tf-idf)
0.03
URL Starts with ‘www’
0.03
URL Contains an Underscore
0.02
H2 Similarity to Keyword (Language Model)
0.02
Page Has Schema.org Markup
0.02
URL Contains a Query (example.com/page?id=1)
0.01
Page Has Google+ Publisher Markup
0.01
Total Area of All Images on Page
0.00
Page Has Open Graph Markup
0.00
Page Has Twitter Card Markup
-0.02
# of Large Images (Greater Than Or Equal to 1024X768px)
-0.02
Folder Depth of URL (# of Trailing Slashes)
-0.02
# of Videos On Page
-0.03
Page Contains Google+ Authorship Markup
-0.03
# of Google Adsense Slots in The Page
-0.03
Domain has Numbers (example123.com)
-0.03
# of Hyphens in Domain Name
-0.03
Total Area of Adsense Slots on Page
-0.04
# of Characters in the Title
-0.04
URL Contains Hyphens
-0.04
Total Length of the Full Domain (www.subdomain.pld.com)
-0.09
URL Length in Characters
-0.10
Response Time of Page in Seconds
-0.10

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Domain Level Anchor Text

These features describe anchor text metrics—both partial and exact match—about the root domain hosting the page. For example, for the page http://www.test.com/A, these features are for anchor text links pointing to *.test.com, not just page A.

Over the past two years, we’ve seen Google crack down on over-optimized anchor text. Despite this, anchor text correlations for both partial and exact match remained quite large across our data set.

Domain Level Brand Metrics

These features describe elements of the root domain that indicate qualities of branding and brand metrics.

For this study we tracked domain name mentions in Fresh Web Explorer. The correlations for mentions are relatively high, falling between 0.17 and 0.20 for mentions of the full domain name.

Domain Level Keyword Agnostic

These features relate to the entire root domain, but don’t directly describe link or keyword-based elements. Instead, they relate to things like the length of the domain name in characters.

Although none of these factors were highly significant, we did find a negative correlation of -0.09 with the length of the domain name.

Domain Level Keyword Usage

These features cover how keywords are used in the root or subdomain name and how much impact this might have on search engine rankings.

The ranking ability of exact- and partial-match domains (EMD/PMD) has been heavily debated by SEOs recently, and it appears Google is still adjusting their ranking ability. In our data, we found EMD correlations to be relatively high at 0.16 and as high as 0.20 if the EMD is also a dot-com.

Domain Link Authority Features

These features describe link metrics about the root domain hosting the page (e.g., for the page http://www.test.com/A, these features are for links pointing to *.test.com, not just page A).

As in 2011, metrics that capture a diversity of link sources (C-blocks, IPs, domains) have high correlations. At the domain/subdomain level, subdomain correlations are larger than domain correlations.

Page Level Anchor Text

These features describe anchor text metrics—both partial- and exact-match—to the individual page (e.g., number of partial-match anchor text links, exact-match links).

Despite Google cracking down on over-optimized anchor text, we found high correlations with both partial and exact match anchor text to the URL, with a 0.29 correlation with the number of root domains linking to the page with partial match anchor text.

Page Level Keyword Agnostic

These elements describe non-keyword usage and non-link metrics features of individual pages such as length of the page, and load speed.

This year’s data showed an interesting negative correlation (-0.10) to page response time.

Page Level Keyword Usage

These features describe use of the keyword term/phrase in particular parts of the HTML code on the page such as the title element, H1s, alt attributes, and more.

The data measures the relationship between the keyword and the document-both with the TF-IDF score and the language model score. We found that the title tag, the body of the HTML, the meta description, and the H1 tags all had relatively high correlation.

Page Level Social Metrics

These features relate to third-party metrics from social media sources such as Facebook, Twitter, and Google+ for the ranking page.

Social signals were some of our highest correlated factors, with Google+ edging out Facebook and Twitter.

Page Link Authority Features

These features describe link metrics to the individual ranking page such as number of links and MozRank.

Page Authority is a machine learning model inside our Mozscape index that predicts ranking ability from links and, at 0.39, it is the highest correlated factor in our study.

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