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The Search (R)Evolution
Ranking Factors after Hummingbird, the
Panda Update and the Future of Search
2014
MARCUS TOBER
07/17/2014
Chicago
Marcus Tober
Once upon a time…
SEO
SEO
Censored
2014
SEO
Differences of URLs from #1 to #30?
Correlation ≠ Causation
2014 Edition
IRON
MAN
RANKING
Techniques Content
RANKING FACTORS 2014
RANKING FACTORS 2014
vs 2013
Content/
Technics
Social
OnPage TECHNIQUES
TECHNICAL ELEMENTS
RANKING FACTORS
2014
vs 2013
TECHNICAL ELEMENTS
RANKING FACTORS
2014
35 www.searchmetrics.com 7/23/2014
~98%𝜌2014 = 0.05
Description existing
36 www.searchmetrics.com 7/23/2014
~95%
𝜌2013 = 0.06
𝜌2014 = 0.05
Description existing
vs 2013
~98%
37 www.searchmetrics.com 7/23/2014
Sitespeed
𝜌2014 = 0.14
38 www.searchmetrics.com 7/23/2014
Sitespeed
vs 2013
𝜌2014 = 0.14
40 www.searchmetrics.com 7/23/2014
Brand Factor
𝜌2014 = 0.16
Number of internal Links
41 www.searchmetrics.com 7/23/2014
Number of internal Links
Less is More!
What‘s even more
important?
What‘s inside!
CONTENT
CONTENT ELEMENTS
RANKING FACTORS
2014
vs 2013
CONTENT ELEMENTS
RANKING FACTORS
2014
50 www.searchmetrics.com 7/23/2014
Keyword in Description
~7.500𝜌2014 = 0.13
Brand Factor
~55%𝜌2014 = 0.01
51 www.searchmetrics.com 7/23/2014
𝜌2013 = 0.02
Keyword in Description
vs 2013
~55%𝜌2014 = 0.01
~62%
52 www.searchmetrics.com 7/23/2014
Brand Factor
~7.500𝜌2014 = 0.13
Text Length in Characters
53 www.searchmetrics.com 7/23/2014
~6.700𝜌2013 = 0.11
Text Length in Characters
vs 2013
~7.500𝜌2014 = 0.13
55 www.searchmetrics.com 7/23/2014
Brand Factor
~650𝜌2014 = 0.13
Word Count
56 www.searchmetrics.com 7/23/2014
~540𝜌2013 = 0.11
vs 2013
Word Count
~650𝜌2014 = 0.13
„precise and fast“
GOOGLE HUMMINGBIRD UPDATE
Contextual
Search
Conversational
Search
Semantic
Search
7/23/201459 www.searchmetrics.com
Contextual
Search1.
65 www.searchmetrics.com 7/23/2014
Content Complexity and Quality – NEW 2014
Pretty high correlations!
CONTENT ELEMENTS
RANKING FACTORS
2014
66 www.searchmetrics.com 7/23/2014
Increasing
CONTENT ELEMENTS
RANKING FACTORS
2014
vs 2013Content Complexity and Quality
67 www.searchmetrics.com 7/23/2014
𝜌2014 = 0.34
Relevant Keywords/ Terms
𝜌2014 = 0.20
68 www.searchmetrics.com 7/23/2014
Proof Keywords/ Terms
69 www.searchmetrics.com 7/23/2014
„You shall know a keyword by the company it keeps”
(Firth, 1957)
What’s behind?
RANKING FACTORS
2014
Source: Google
70 www.searchmetrics.com 7/23/2014
What’s behind?
RANKING FACTORS
2014
Proof KW
Relevant KW
Content Optimization
72 www.searchmetrics.com 7/23/2014
Content Optimization
73 www.searchmetrics.com 7/23/2014
Content Optimization
75 www.searchmetrics.com 7/23/2014
Aggregators
(few/ no own Content)
• Couponing
• Press Portals
• Celebrity News Pages
• Software Portals
• Forums
• Etc…
Google Panda Update 4.0
There are no tips and nothing the user
expected on the page. Why should it rank?
Conversational
Search2.
Page
81
Hummingbird – Conversational Search
7/23/2014 ®
Searchmetrics Inc.
2014 │
Android Chrome Glass
MOBILE
vs
DESKTOP
MOBILE
83 www.searchmetrics.com 7/23/2014
MOBILE
vs
DESKTOP
Sitespeed
84 www.searchmetrics.com 7/23/2014
MOBILE
vs
DESKTOP
Filesize
85 www.searchmetrics.com 7/23/2014
~7.500
~6.000
MOBILE
vs
DESKTOP
Text Length in Characters
86 www.searchmetrics.com 7/23/2014
MOBILE
vs
DESKTOP
What’s the difference?
RANKING FACTORS
2014
Semantic
Search3.
Topic
(Complex Entity)
Who is the richest person in the world?
?
Verb
Entitity 1
Entity 2
Complex Entitity (1+2)
Single Keyword
Complex Query with several Entities
Google “understands“
the question
“Answer“
above organic results
?
Source?
User
(Query)
SERP
(Knowledge Graph)
Hummingbird
Query
A1
Similar (or even synonymous) Keyword Queries
SERP A1
Query
A2
SERP A2
Query
A3 SERP A3
Query
A4
SERP A4
Query
A5
SERP A5
Query
A6 SERP A6
Pre-
92 www.searchmetrics.com 7/23/2014
Query
A1
Hummingbird
Query
A6
Query
A5
Similar (or even synonymous) Keyword Queries
Query
A2
Query
A4
Query
A3
SERP A
Post-
93 www.searchmetrics.com 7/23/2014
Analysis 1:
SERP Diversity
Diversity of SERPs
All Keywords
95 www.searchmetrics.com 7/23/2014
~6.5%
Diversity of SERPs
All Keywords
96 www.searchmetrics.com 7/23/2014
34
~6%
~2.5%
1
2
3
What happened?
Week 33
2013
1
Week 45
2013
2
Week 03
2014
3
10 104
Diversity of SERPs
Keywords with Question Words What, Where, Who, How, Why …
98 www.searchmetrics.com 7/23/2014
34
~6%
~10%
Query
SERP
C
SERP
A
SERP
B
Pre-
Hummingbird SERP
Y
SERP
J
SERP I
SERP
H
SERP
G
SERP
F
SERP
L
SERP
K
SERP
M
SERP
N
SERP
O
SERP
P
SERP
Q
SERP
R
SERP
S
SERP
T
SERP
U
SERP
V
SERP
Z
SERP
X
100 www.searchmetrics.com 7/23/2014
SERP
H
SERP
M
SERP
J
SERP
R
SERP
F
Query
SERP
C
SERP
A
SERP
B
Post-
Hummingbird
SERP
Y
SERP I
SERP
G
SERP
L
SERP
K
SERP
N
SERP
O
SERP
P
SERP
Q
SERP
S
SERP
T
SERP
U
SERP
V
SERP
Z
SERP
X
101 www.searchmetrics.com 7/23/2014
Analysis 2:
Keyword Pairs
4/10
July 2013
9/10
March 2014
2/10
July 2013
7/10
March 2014
HOLISTIC
BE
LINK PROFILE
109 www.searchmetrics.com 7/23/2014
BACKLINK ELEMENTS
RANKING FACTORS
2014
110 www.searchmetrics.com 7/23/2014
BACKLINK ELEMENTS
RANKING FACTORS
2014
vs 2013
111 www.searchmetrics.com 7/23/2014
More Backlinks!
𝜌2014 = 0.31
Number of Backlinks
112 www.searchmetrics.com 7/23/2014
Better Links!
𝜌2014 = 0.26
SEO Visibility/ Source URL
113 www.searchmetrics.com 7/23/2014
NEW Features 2014
BACKLINK ELEMENTS
114 www.searchmetrics.com 7/23/2014
Fewer fresh Backlinks!
more
𝜌2014 = 0.20
Number of new Backlinks
115 www.searchmetrics.com 7/23/2014
𝜌2014 = 0.16
Anchor = Domain Name
116 www.searchmetrics.com 7/23/2014
𝜌2014 = 0.15
Anchor = Brand/ URL
Evolution of
SEO
USER
SIGNALS
Analysis 3:
User Traffic
125 www.searchmetrics.com 7/23/2014
USER TRAFFIC ELEMENTS
RANKING FACTORS
2014
126 www.searchmetrics.com 7/23/2014
𝜌2014 = 0.09
Time on Site
127 www.searchmetrics.com 7/23/2014
Ø
𝜌2014 = 0.04
Bounce Rate
128 www.searchmetrics.com 7/23/2014
𝜌2014 = 0.67
Click-Through Rate
?
SEO
What‘s the goal of SEO for Content?
Content → Ranking → Traffic
7/23/2014130 www.searchmetrics.com
What‘s the goal of SEO for Content?
131 www.searchmetrics.com 7/23/2014
1. Conserve Traffic – conventional SEO-Methods
2. New Traffic through fresh Content
What‘s the best optimized website in the world?
Content → Ranking → Traffic
S
E
O
Search
Engine
Optimization
Search
Experience
Optimization
Techniques
Content
twitter.com/searchmetrics
facebook.com/searchmetrics
THANK YOU
FOR YOUR TIME

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Visibility_14: The Search (R)Evolution

Notas do Editor

  1. There are severeal examples for the misintpretation of correlation as causation. There is the phenomenon, that the amount of storks living in certain rural areas correlates with a higher birth rate. Would you suggest that a higher number of storks causes the birth of more babies? In summer, people like to go to the beach and get tanned. Also, they like to eat ice cream more often when the sun is shining. Would you appreciate the conclusion that ice cream causes sunburn? We at Searchmetrics are aware of the fact that correlation is not causation. But our analyses based on a huge amout of data allow us to look at similarities and differences of rankings and URLs and our expertise lets us interpret the data.
  2. What are the most important „factors“ for good rankings? Again: 10.000 Informational Search Keywords. Top 30 Particulary after Hummingbird, it‘s about relevant Content – not the best optimized Content.
  3. Low correlation, but in fact, nearly every URL in the Top 30 has a Description -> seems obligatory!
  4. Consistently high average values. 2014 nearly 100% - even encreased from last year. Seems a „Must-Have“. Correlation even decreased slightly, but only because even more URLs in Top 30 have this Feature and therefore, the differences become even smaller.
  5. Average count of internal links. Again: Brand Factor. Interesting to see, that better ranking URLs have slightly more internal Links. That means: Housekeeping and Optimization of internal Link Structure is important
  6. Average count of internal links. Again: Brand Factor. Interesting to see, that better ranking URLs have slightly more internal Links. That means: Housekeeping and Optimization of internal Link Structure is important
  7. Page load Time is a very important performance factor. Google is pushing it for your and obvivously many websites got faster. Influences User Signals (CTR, BounceRate, etc) and User Happiness! – Correlation increased significantly!
  8. Average count of internal links. Again: Brand Factor. Interesting to see, that better ranking URLs have slightly more internal Links. That means: Housekeeping and Optimization of internal Link Structure is important
  9. Do you like this kind of remote remote control? I don‘t. Less bells and whistles – more focus
  10. Content alone is not enough. The technical environment as well as Site Architecture have to be at a top level to achieve good rankings. But: Content is still the most important thing. But it must be unique content with a benefit for the user.
  11. Brand Factor - „Keyword in Descritpion“ seems a rather rampant feature (weit verbreitet)
  12. Brand Factor - „Keyword in Descritpion“ seems a rather rampant feature (weit verbreitet) Last year: higher average of pages had KW in Description. Brand Factor was not that strong a year ago
  13. On average increased per Pos. about 12.5% (in comparison to 2013). Very interresting There seems to be the trend to have more and longer content. Is it a disadvantage to be short?
  14. Seems as if this would‘nt really work. As you know, Tom Cruise is a rather short guy. But it‘s about providing holistic Content. And this content is likely to be a little longer – not as short as Tom Cruise. Just did not fit for Katie Holmes.
  15. Word Count increased about 20% on average (compared to 2013)
  16. Hummingbird was the biggest update of the Google algorithm in the past 10 years. But nobody really recognized. Why? Because Google implemented methods in the algorithm to understand the meaning of the query and therefore they must understand the meaning of the content.
  17. Analysis of (Proof and) Relevant Keywords in the Top Results with Searchmetrics Content Optimization. Keywords with high Relevancy for the Query (Focus Keyword) = Relevant Keywords Also: Keywords being used by most of the Top-URLs for that Query = Proof Keywords (of course: correlation is lower)
  18. Better ranking URLs contain more relevant Terms around the Fokus-keyword -> Holistic Documents rank better! Top results contain significantly more „relevant“ terms than lower-ranked results
  19. Top-Rankings containn significantly more „Proof“-Terms
  20. The distribution of Keywords and further relevant Terms compared to the absolute number of terms, helps Google‘s Algorithms to understand the topic and intention od texts. Googles Word2Vec Project is open source.
  21. Natural Language … Keywords become more Complex (Questions, hole sentences)
  22. Ca. 30 - 40% smaller
  23. Texts are shorter
  24. Differences often regarding Keywords out of Movie-, Music- and/or Games-Sector. Examples (based on URL-comparison): Indiana jones 5 (only 40% identical) Simcity 4 mac (only 42.5% identical) Packers game (only 40% identical) mumford & sons - "i will wait“ (only 23.53% identical)
  25. Every word of a query, and more important, there sematic meaning, play a role
  26. In the Movie: „Food Replicator“ Machine reads your mind, figures out what you want to eat right know and delivers the desired dish.
  27. Google also tries to read the user‘s mind in interpreting the intention behind a query -> then delivering a knowledge graph as the „desired dish“ above / nerxt to the organic SERP.
  28. Example. „Italian restaurant san francisco“ / „italian lunch san francisco“ / „pizza nearby“ (local search in SF) / „eat pizza in san francisco“ / „san francisco pizza inn“ … etc.
  29. Example. „Italian restaurant san francisco“ / „italian lunch san francisco“ / „pizza nearby“ (local search in SF) / „eat pizza in san francisco“ / „san francisco pizza inn“ … etc. BUT: of course, the SERP is influenced by factors such as search history, user specific cookies, location, logged in/ logged out etc.
  30. So, what is good, what is bad? What is too much? Searchmetrics tells you.
  31. Achtung: Dass, die Kurvenverläufe von URLs und Domains sich teilweise stark unterscheiden, liegt auch daran, dass die Anzahl jeweils abweicht. URLs: ca. 3.5 Mio Domains: ca. 500.000
  32. informational keyword
  33. More Focussed. -> Relevance …. Precise. Fast. Diversity decreases – more Competition !
  34. So, what is good, what is bad? What is too much? Searchmetrics tells you.
  35. Examples for SERPs for Keyword Pairs -> Before Hummingbird Universal Search Results removed (Bang = Pony)
  36. It‘s about relevant, related topics and terms. The Content is the „Face“ of a page being the most important thing, the centre. It‘s immensely important, to provide unique and high-class content being perfectly tailored for your users. That means, the content must not be always the same. It‘s rather the opposite. Because you have to be distinguishable from your cometition. Content has to be holistic and satisfy the user‘s intention.
  37. Number of Backlinks as such has increased! (Although correlation declined slightly)
  38. Absolute Number (average values) actually decreased! Penguin?
  39. Immensly increased (compared to 2013). Better rankign URLs have more links from pages with a high SEO Visibility
  40. Backlinks of the last 30 Days to Homepage of respective URL NEW Definition of the Brand-Factor in 2014: 1. Small (niche) Brand / 2. Big Brand / 3. Wikipedia (universal Brand) -> URLs on second half of SERP 1 (Pos 4/5 to 8/9) seem to have more fresh Backlinks (directed to Homepage) -> Big Brands Obviously, (Niche) Brands get significantly fewer new Links to their Homepage, compared to pages ranking behind Pos 4. In contrast, these (Brand)pages have significantly more and better links
  41. Share of „Brandlinks“. Z.B. spiegel.de / wsj.com URLs with more Brandlinks rank better.
  42. Z.B. Spiegel Online / Wall Street Journal (Share of the most frequent Anchor Text, being not the exact Domain Name with TLD compared to all Anchor Texts of the URL)
  43. Brands have more links, better links, more brandlinks – and they „need“ fewer fresh and/or news links. Your product must be good!
  44. So, what is good, what is bad? What is too much? Searchmetrcis tells you.
  45. Correlations calculated on Top 15 (not Top 30)
  46. Low correlation. Top rankings have some 20 to 40 seconds more
  47. Quiet stable average values over all positions. Pos 1-5 perform slightly better.
  48. Very high correlation. Actually the highest, we have ever measured.
  49. So, it‘s actually obvios. What must be the goal of SEO for Content?
  50. Increase traffic for existing content (through content updates, more relevant content) New content performs better because more relevant.