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Vizion SEO is the leading SEO agency in Rhode Island. We provide SEO services for all local businesses in RI. We have a proven track record with guarantee results. We also provide other services such as pay per click advertisement, Search Engine Marketing, local SEO, social media marketing, web design, web development, mobile website, website hosting and more.
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Google Ranking Factors: Correlations,
Testing, & Hypotheses
What does it mean? How should
we apply the data?
Correlation
Correlation does NOT
say why these results
rank higher than these
results
More on
http://moz.com/rand/what-do-correlation-metrics-really-tell-us-about-search-rankings/Correlation tells us what
features, on average, the
results that rank higher have
which the lower ranking results
do not have.
More on
http://moz.com/rand/what-do-correlation-metrics-really-tell-us-about-search-rankings/Correlation tells us what
features, on average, the
results that rank higher have
which the lower ranking results
do not have.
More on
actually using to rank the results!
http://moz.com/rand/what-do-correlation-metrics-really-tell-us-about-search-rankings/Via 2013 Search Ranking Factors
http://moz.com/search-ranking-factorsVia 2013 Search Ranking Factors
To me, this says individual pages still
hosting domain.
http://moz.com/search-ranking-factorsVia 2013 Search Ranking Factors
MozRank used to be higher, and so did
getting more complex.
http://moz.com/search-ranking-factorsVia 2013 Search Ranking Factors
$100 says that if we could get more comprehensive
brand mention data, this correlation would start to
look a lot like links
http://moz.com/search-ranking-factorsGood discussion about Google+ correlations in this post
Google+ is just too damn high.
http://moz.com/blog/google-plus-correlationsGood discussion about Google+ correlations in this post
Google:
the blog post the idea that more Google +1s led to higher web ranking. I
http://moz.com/blog/google-plus-correlationsGood discussion about Google+ correlations in this post
from Google+ (directly or indirectly) at all in our ranking algorithms.
be very surprised if they said that.
http://moz.com/blog/google-plus-correlationsGood discussion about Google+ correlations in this post
That said, all of the correlations with social are high. That tells me the things
that make content have success on social probably have a lot of overlap
with what makes content successful in Google.
http://moz.com/blog/google-plus-correlationsGood discussion about Google+ correlations in this post
Domain name keyword matching continues to show decline.
http://moz.com/blog/google-plus-correlationsVia Mozcast
PMD was as high as 5%
two years ago. EMD was
almost 6%. Both have
fallen precipitously.
http://mozcast.com/metricsBasic introduction to LDA and topic-modeling systems here.
We were able to build a better keyword-modeling system in 2013, and
correlations were higher than in past studies looking at raw keyword
repetition or use in title elements.
http://moz.com/blog/lda-and-googles-rankings-well-correlatedhttp://moz.com/blog/lda-and-googles-rankings-well-correlatedhttp://moz.com/blog/lda-and-googles-rankings-well-correlatedMore on rankings and page load time here.
relatively big indirect factor (i.e. users like fast-loading pages, and people
link to/share what they like)
http://moz.com/blog/how-website-speed-actually-impacts-search-rankingSee How Unique Does Content Need to Be.
Last, more content still seems to, on average, slightly overperform vs. less
http://moz.com/blog/how-unique-does-content-need-to-be-to-perform-well-in-search-engines-whiteboard-fridayI hope to see many, many more correlation tests
and more things considered! Causal or not,
correlation data is incredibly useful.
What can we learn from a recent
SEO test?
Testing
Hypothesis:
It seems like Google is starting to ignore or
discount anchor text in links.
Here were the test conditions:
#1: Three-word keyword phrase in Google.com US
#3: We pointed links with NO query-matching anchor text from
20 unique, not-particularly-on-topic, high DA domains at result
A and EXACT-anchor-text match links from the same pages at
result A.
#2: At start of test, result A ranked #20, B ranked #13.
After 3 Weeks:
All of the links had been indexed by Google
Result B (with exact-match anchor text) ranked #9 in
Google.com US
Result A (with non-query-matching anchor text) ranked
#18 in Google.com US
Of Additional Interest:
Result B (with exact-match anchor text) ranked #4 in
Google.co.uk
Result A (with non-query-matching anchor text) ranked
#19 in Google.co.uk
~5 of the 20 linking domains were from UK sites
Takeaways:
#1) Anchor text still matters
#2) Geographic location of links matters
world. Even imperfect tests are fascinating and
useful, IMO.
Three guesses Rand has about
Hypotheses
Hypothesis #1
connected to their entities and brand signals
Hypothesis #2
aspect of mention frequency
and mention source in
More and more, these queries return
you polled people on the street to tell
you what brands they most
Hypothesis #3: Google is using
search & visit patterns to connect
words & phrases and rank results
Why do they list these 3 in the top
10? My guess