www.analyticsseo.com@analyticsseo
How Big Data is changing SEO
David Bain
Head of Growth
AnalyticsSEO
@DavidBain
Frank Kelly
Data Scientist
AnalyticsSEO
@norhustla
Alexander de
Albuquerque
Product Manager
AnalyticsSEO
www.analyticsseo.com@analyticsseo
1. Who are the competitors?
“There are known knowns.
These are things we know that
we know.
There are known unknowns.
That is to say, there are things
that we know we don't know.
But there are also unknown
unknowns. There are things we
don't know we don't know.”
Donald Rumsfeld
“There are also unknown unknowns”…
www.analyticsseo.com@analyticsseo
What are the competition doing differently?
RD
P
P
P
KW
KW
KW
KW
KW
CP
CP
KW
KW
KW
The competition!
KW
KW
CP
CDYou
Opportunity!
CD = Competing domains
CP = Competitor’s pages
RD = Ranking domain
P = Your page
KW = Keyword
www.analyticsseo.com@analyticsseo
Common keywords for BrightonSEO.com
What are the common keywords that
BrightonSEO.com shares with its competitors
that the site IS ranking for?
• “SEO”
• “SEO jobs”
• “SEO training”
• “SEO courses”
• “UK SEO”
• “SEO conference”
• “SEO workshop”
• “SEO training course”
www.analyticsseo.com@analyticsseo
Opportunity keywords for BrightonSEO.com
What are the keywords that BrightonSEO’s
competitors rank for and BrightonSEO.com doesn’t?
• “What is SEO”
• “SES”
• “Website SEO”
• “Search engine optimisation”
• “SEO marketing”
• “SMX”
• “Marketing course”
• “SEO guide”
• “How to SEO”
• “Marketing events”
• “Learn SEO”
www.analyticsseo.com@analyticsseo
2. How big is the opportunity?
Traditional SEO:
Target keyword volume can be increased using ‘related searches’:
This can be increased further using Google Autocomplete:
www.analyticsseo.com@analyticsseo
2. How big is the opportunity?
Traditional SEO:
Carrying out ‘thorough’ keyword research
Keywords you know Keyword you can find out Keywords that you don't know that you don't know
www.analyticsseo.com@analyticsseo
The Big SEO Data unfair advantage
• Look at the whole market of keywords
• Is the market growing or declining?
• See opportunity keywords your
competitors rank for that you don’t
• See the overlap between the biggest
opportunities and the weakest
competition
• Catch new competitors as soon as they
appear
• Find possible partners
www.analyticsseo.com@analyticsseo
3. What should I focus on first?
Traditional SEO:
We apply a standard click-though rate model to Google AdWords search volume
http://www.advancedwebranking.com/ctrstudy/
www.analyticsseo.com@analyticsseo
With Big SEO Data you can…
LONG-TERM ROI
LOW/NO ROI
QUICK ROI
MAINTAIN ROI
HIGH
LOWHIGH
LOW
ORGANICGROWTHPOTENTIAL
RELATIVE STRENGTH
Determine target keywords by forecasted click-through rate & ROI, not search volume.
www.analyticsseo.com@analyticsseo
Where do you get access to Big SEO Data™?
Option A: Collect it yourself (Costs £100K to £1m+)
• Define what you want to get and from where
• Hire several software developers
• Build your own website crawler and toolset
• Build your own proxy network (or lease)
• Get a host who’ll provide unlimited bandwidth!
Social Media
Websites & Links
Search engines
Domains
Keywords
Search Volumes
Competition Levels
Keyword CPC
Social profiles
Social Shares
Blog feeds
Content
Proprietary Database
www.analyticsseo.com@analyticsseo
Be a Big SEO Data™ beta tester
Option B: Be one of our Big SEO Data™ beta testers…
Apply if:
• You’re not currently an AnalyticsSEO customer
• You’ll participate in a monthly feedback call
We’re looking for a
fresh perspective.
We’re offering 2
months free access
to our platform.
www.analyticsseo.com@analyticsseo
The Right Technology
OK, so you’ve got a lot of data coming in –
now what? You’ll need to store it somewhere
– there are plenty of options:
• Relational Databases
• MySQL, Maria DB, PostgreSQL
• NoSQL Databases
• Column oriented: Cassandra, Hbase (Hadoop)
• Document store: MongoDB, Couchbase
• Key value: DynamoDB, Redis
• Graph Databases: Neo4J
www.analyticsseo.com@analyticsseo
An old friend…The Venn Diagram
A B
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NO
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UV
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You need a method for comparing A against everyone, then B against everyone and so on….
B
www.analyticsseo.com@analyticsseo
Even Venn diagrams have their limitations!
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www.analyticsseo.com@analyticsseo
A little bit of (non-technical) info on Graph Databases
• Build a Graph Database (or
multiple graphs) containing
your data as Nodes, Edges
and Attributes
• Great for describing and
handling ‘web data’
• Allows you to interrogate
the relationships between
the entities in a more
natural way
• You can then ‘traverse’ the
graph up and down, in and
out, analysing relationships http://neo4j.com
www.analyticsseo.com@analyticsseo
Traversing the graph database
RD
P
P
P
KW
KW
KW
KW
KW
CP
CP
KW
KW
KW
The competition!
KW
KW
CP
CDYou
Opportunity!
CD = Competing domains
CP = Competitor’s pages
RD = Ranking domain
P = Your page
KW = Keyword
www.analyticsseo.com@analyticsseo
How Big Data is changing SEO
David Bain
Head of Growth
AnalyticsSEO
@DavidBain
Frank Kelly
Data Scientist
AnalyticsSEO
@norhustla
Alexander de
Albuquerque
Product Manager
AnalyticsSEO
Notas do Editor
Who feels that big data is really benefiting their SEO at the moment?
Who feels that they understand the benefits of big data, but they’ve yet to use it extensively to benefit their SEO?
Who haven’t got a clue what I’m talking about?
A
On voit immédiatement qu’il y a des grandes connections / dépendance sur des liens sociaux.
Cela c’est une vue des données générées par une expansion du site d’un de notre clients comme l’origine.
----
Cela nous donne un « big picture » mais… les détales ne sont pas trop clair ici, on va faire des recherche approfondies sur l’approche qui peut être utiliser a résoudre quelques problèmes typiques SEO.
Nous avons analysé 1500 site webs, et créé une étude avec CTR. Résultats a paraître très bientôt.
Etudes avec CTR sont très rares. Si vous souhaitez avoir plus d’informations sur ce genre de données, Rodolphe et moi, nous vous invitons a nous poser des questions a la fin de notre discours.
----------------
Si vous faites vos propres analyses, il y a des certains choses a savoir.
A
Cela nous donne une visualisation plus naturelle, les choses sont divisées avec les mêmes éléments.
Who feels that big data is really benefiting their SEO at the moment?
Who feels that they understand the benefits of big data, but they’ve yet to use it extensively to benefit their SEO?
Who haven’t got a clue what I’m talking about?