[Build Backlinks Online] SEO in the Personalization Age

Build Backlinks Online has posted a new item, 'SEO in the Personalization Age'


Posted by gfiorelli1





Only eleven years have passed since Steven Spielberg's Minority Report was
released, and yet the future it depictsâthe year 2054âis much closer
than we think:


Driverless cars, paired with companies like Uber, will soon transport us about
the city, offering us the extra time to revise our notes before an important
business meeting.

Leap-motion interfaces are available.
Marketing has become personalized and targeted.
We have experienced a loss of privacy in the name of a supposed greater safety.


In many respects, we can say that the future is (almost) now.


Of all the things that were presented in Minority Report, the one that most
concerns us as SEOs and inbound marketers is the personalization of experiences
that our potential customers have when looking for a product and/or information,
when they share things online, and when they interact with our brands on our
websites.

Search marketing and personalization

Personalization in search marketing is not something newâit was
(re)launched on Google in 2005. Still, it was only with the launch of "Search,
plus Your World" (January 2012), the rollout of the Venice Update (February
2012), and the introduction of Google Now (July 2012), that the personalization
factor has become predominant.


If we ask everyday Google users about personalized search, though, this is
what they answer:




This data from the excellent infographic on seotraininglondon.org reveals
something that we might have guessed in talking about rankings with our clients:
the average user does not know that their Google SERPs are personalized.


To tell the truth, we SEOs also tend to forget that search is almost always
personalized, and we examine concepts such as, for example, neutral search.


For example, we tend to act this way when we try to understand the rankings of
our sites or when we do competitive analyses. It is certainly not
incorrectâit is a necessary starting pointâbut in reality, it is not
enough anymore.


Take the case where our site is national or global: In that case, the
personalization of the search experience is such that we should not only check
how our site ranks in the U.S. or the UK, but we should also in smaller
geographic areas of our targeted country.


At the same time, we should see who our competitors are with a
"micro-geographic" focus. In fact, while we might be on the first page in a
totally neutral search with its geographical center being the political capital
of the country we are analyzing, maybe we don't rank so highly in the searches
done in a city that we consider a target as important as the "nation" (i.e.
Seattle or Manchester).


Why? Because the often shamefully forgotten Venice Update enhances the
localization of the user performing a search in terms of how their SERPs are
shaped. Hence, local businesses, which might not be relevant on a
national/global scale, are indeed relevant locally. In those cases, they can be
shown at the expense of "national" or "global" sites, which often do not possess
sufficient relevance at a local level.


And that's personalization (note: in the concept of personalization I
personally include context, because without it, personalization would provide a
poor search experience).


But that's not the only way localization influences the personalization of
search.


In fact, as both Tom Anthony and Will Critchlow explained well, localization
(and other contextual information) is a key component of what they defined as
"new queries," which include both a explicit and implicit aspect.


An even stronger implementation of personalization is possible: implicit-only
queries, as they are defined by Baris Gultekin in this video interview shot at
Google I/O 2013.


These queries are those that users don't even actually perform, but that
Google predicts they are implicitly performing. The results are shown in Google
Now cards:





In the first case (personalization due to geolocalization), we can try to
acquire more relevance on a local level by creating events (online and/or
offline), connections with local web sites, and partnerships with local
influencers. Those influencers can be found with tools that geographically map
social media followers/fans, such as Followerwonk (all the better if they are
already connected with us):




Or, we can take advantage of the geographical segmentation of the people we
have circled on Google Plus (and of the local communities' pages, if they
exist):




In the second case ("new queries" with implicit and explicit aspects), we can
try to "enter" in the personalized SERPs of our users, creating content that is
contextually relevant to a topic + location + device. For now, though, it is
quite hard to determine how, from where, and for what a user is already
searching on our own sites via Google search. This information can't be easily
understood with tools like Google Analytics, and Google Webmaster Tools does not
offer us the opportunity to dig deeper than the country level. Hence, the best
way to get this information is by actively obtaining feedback directly from our
targeted audience.


In the third case (totally implicit queries), we can go with the classic SEO's
first reaction of fright and ask to have our site integrated in the Google Now
ecosystem, as Zillow, Booking, Urbanspoon and many others have already done.

Personalization and Knowledge Base

Last May, at Google I/O 2013, Amit Singhal said, "The search of future will
need to answer, converse, and anticipate."




With "answer," he refers to the Knowledge Graph, with "converse" to Voice
Search, and finally with "anticipate" to Google Now. Knowledge Graph and Google
Now are based mostly on the so-called Google Knowledge Base, and in both
casesâas well as in Voice Searchâsemantics and entity recognition
play an essential role.


Semantics, entity recognition and the Knowledge Base, then, are the foundation
on which Google can really achieve the goal of creating its dreamed-of Star Trek
computer, capable of providing information to the user by predicting its needs
for information.


As I wrote in a previous post here on Moz, the Knowledge Base helps Google by
answering how and why the documents are connected and searched, as well as an
understanding of what named entities those same documents cite and are related
to.


The most evident examples of this are the Knowledge Graph boxes:




This snapshot, though, shows another example of personalization.


Google presented me Saint Peter the Apostle because in a neutral search I
performed before, Google agnostically presented me all the entities the
Knowledge Graph could relate to the query "Saint Peter".


As you can see, neutral "objective" searches still play a huge role in
Google... but is this really so? No, it isn't.


Even in a neutral search, personalization of search is present. Here are a
couple of examples:




Knowledge Graph disambiguation boxes in Google.it neutral search for "San
Pietro"




Knowledge Graph disambiguation boxes in Google.com neutral search for "San
Pietro"






Knowledge Graph disambiguation boxes in Google.fr neutral search for "Saint
Pierre"




Knowledge Graph disambiguation boxes in Google.com neutral search for "Saint
Pierre"


Localization of the usersâboth geographically and
linguisticallyâplays an evident role in the personalization of search.


But that's not all. In factâas I said beforeâpersonalization is
always acting, not just when users are logged in. When you're not signed in,
Google uses a cookie to personalize your search experience based on past search
information linked to your browser.


The more someone uses Google for search, even logged out, the more Google
understands and refines the search experience for that user. Knowing that there
are about 5,134,000,000 searches performed every day, we can understand how the
Google Knowledge Base is endlessly updating itself. That is not Big Data, that's
Gigantic Data, all used for one purpose: to offer more personalized search and
ad results.


How does Google personalize search?


Search History is surely the most important factor, but as we saw,
localization has assumed an increasing relevance, especially because of the rise
of mobile search.




Google seriously knows a lot about us. Crazypants! as a friend of mine would
say.


How does search history shape the personalized SERPs, and how can Google
strengthen the personalization of SERPs in relation to a query when search
history is not present or is not sufficient by itself?


Google does this thanks to search entities, a concept that is explained in
depth by Bill Slawski in this post.


Search entities, as described by Bill, are:


A query a searcher submits
Documents responsive to the query
The search session during which the searcher submits the query
The time at which the query is submitted
Advertisements presented in response to the query
Anchor text in a link in a document
The domain associated with a document


The relationships between these search entities can create a "Probability
Score," which may determine if a web document is shown in a determined SERP or
not.


I warmly suggest you read Bill's post to find out more about all the possible
relationships that can exist between these search entities, but for this post,
I'd like to focus on these ones:


The strength of relationships between these entities can be measured using a
metric obtained from direct relationship strengths (derived from data indicating
user behavior, such as user search history data) and indirect relationship
strengths (derived from the direct relationship strengths).
A relationship between a first entity that has insufficient support (e.g., not
enough search history data) to associate a given property with the first entity
and a second entity that does have sufficient support to associate the given
property with the second entity can be identified, and the given property can be
associated with the first entity with higher confidence.

From an SEO point of view, these two cases are telling us that even though we
aim for a neutral search environment, we should never forget that 99% percent of
a user's search experience is personalized. We could define this attitude as
"growth hacking SEO."

Moreover, we could take advantage of the personalization of search thanks not
only to being included in the personal search history of the users, but also to
connections created with entities that are already in those users' search
history. This connection can be a link, a citation, or a co-occurrence in a
document, which is considered more relevant than the query alone or the search
history of the users.


Somehow this is not something new. In fact, when Richard Baxter talks about
doing really targeted outreach, we know it is good from the point of view of
being discovered by the audience. Creating content for other sites that are used
by the people influencing our target market will often result in new users of
our own site.


But now, this patent about search entities is evidence that typically inbound
tactics can have a direct reflection on a purely search-related level.

Semantic web

When we talk about entities, we usually think about people, places, and things
(i.e., a brand). But web documents are also entities.


And, in light of what is described in the patent cited above, the "probability
score" of a web document, which can determine its presence in a SERP or its
visibility in results for a determined query based on all the classic on-page
"ranking factors," can be improved by the use of structured data.


Structured data, from schema.org, Microdata and Open Graph, are important not
just because they can gift our site's search results with a rich snippet. That
snippet is the facade of something more important: helping the search engines
better understand what a document is all about.


For instance, the breadcrumb schema is surely important because it can help
add mini-sitelinks to our snippets, but it is even more important because it
clearly tells search engines how the documents in our site are hierarchically
related between them.


Or, using an even better example, the article schema is the only way (or at
least so it is described by Google) to obtain visibility in the In-Depth
Articles search blend.


Therefore, the use of structured data has become essential, not only because
rich snippets offer us a greater visibility in the SERPs, but also because not
many people are using it (36.9% of URLs use Open Graph, and 9.9% use Schema.org,
as reported by Matthew Brown at MozCon). In addition, structured data can help
increase the relevance of a document for a determined query simply because it
"helps our systems to better understand your websiteâs content, and
improves the chances of it appearing in this new set of search results."

The social layer

We know that social has a correlated impact on rankings. How, though, does
social have a direct impact in the personalization of the SERPs?


Once it was with the social annotations from Twitter (and now from Google
Plus), even though it's legit to consider that social activities other than
those on Google Plus still weigh on how personalization works.





"Search, plus Your World" (SPYW), which de facto is how all logged in users
use Google.com, can seriously help in outranking your competitors.


For instance, "The International SEO Checklist" by Aleyda on Moz ranks first
for me and not third, because Aleyda and Gigi (and others in my Circles) plussed
it. The "International SEO" Q&A page on Moz ranks third for me, simply because I
have Moz circled. If it was not so, that page would not be present in the TOP
100, which we can see from a neutral search.


That means that, yes, in a personalized environment like SPYW, +1s have an
impact in rankings, while that's not the case in a neutral search.


Even if SPYW is not present outside of Google.com, plusses still play a
prominent role in how SERPs are personalized. For instance, if I search for
"International SEO" in Google.es, and I am logged in, by default Google is
showing me search results from Aleyda's posts, because they were all plussed by
many people I'm circling on Google Plus. Instead, a neutral search in Google.es
will show a completely different SERP.


The fact that we don't have the option to switch to a neutral SERP in
Google.es (or in the other regional versions of Google) means that all logged in
users, if they are active on Google Plus, see an extremely personalized search
result page.






The first snapshot presents a logged in personalized search in Google.es for
"International SEO". The second a neutral search. The influence of Google Plus
in the first one is evident.


If we can find an evident social layer in search results, social media also
has correlated values that can influence the personalization of the SERPs:
branded keywords searches, prop-words, and an increase in search volume for our
brand and related keywords.


In fact, we know that social media resides at the top of the funnel in the
discovery phase. What we don't realize is that social is also present in a
post-discovery phase, when users are searching for confirmations to their
conversion intentions.


If we are very active on social, and moreover if we are able to create
authority via social media, if we do our homework, andâas SEOsâif we
optimize how content is shared socially (SEOcial), then we can instill in our
audience those keywords and topics for which they will search for us later on.

Email marketing and personalization

We can also influence the personalization of search with the integration of
email marketing to our SEO activities.


We usually tend to consider email marketing just another channelâa very
good one if performed correctly, because it can offer great conversion rates and
huge amount of organic traffic, but we rarely think at it as a way to obtain
visibility in search.


Now that is possible.


For totally implicit queries, we can mark up the emails we send to our users
with schema.org for GMail.


The reminders we offer to our users will be presented as Google Now cards on
mobile, but these annotations will also allow users to perform (voice) searches,
which will deliver those same reminders created from the information we have
marked up in our email.


For all the other kinds of queries, it is also possible to use email
marketing in order to have visibility in the SERPs.


If you are a tester of the Gmail Search Field Trial (and use Google.com based
in the US), you should see these enhanced results in your SERPs:




As you can easily tell, emails relevant to a user's search can be shown in
the SERPs.


This opens a completely new area of SEO activity, in which potential factors
are:



Who you email: If you email John Doe a lot, itâs likely that messages from
John Doe are important.

Which messages you open: Messages you open are likely to be more important than
those you skip over.

What keywords spark your interest: If you always read messages about soccer, a
new message that contains those same soccer words is more likely to be
important.

Which messages you reply to: If you always reply to messages from your mom,
messages she sends are likely to be important.

Your recent use of stars, archive and delete: Messages you star are probably
more important than messages you archive without opening.


I am not guessing these GMail ranking factors; I took them from this patent
by MailRank now owned by Google.

Conclusions


Luckily Amit Singhal is present in this snapshot, or many of you would have
started getting crazy with me.


Amit Singhal is right when he says that "Answer," "Converse," and
"Anticipate"âdeep personalization of search, I called itâis going to
change search as we know it.


Is this maybe the reason why the Search Team at Google is now called the
Knowledge Team? Is this maybe the main reason for "Not Provided" keywords, as
Will Critchlow mentioned?


What I know is that personalization is already so heavily present in search
that avoiding it in the name of a fading neutral search is not doing good SEO.


Moreover, personalized search is clearly telling us how SEO alone is not
enough, but that content, social, and email marketing by themselves are also not
enough to obtain a real and complete success in Internet marketing.


SEO, for instance, needs social to help people discover a site, just as
social needs SEO to reward its activity with recurring conversions on the site.


Personalized search is pushing us to hasten the destruction of silos between
Internet marketing disciplines, and hopefully it will oblige marketers to change
and embrace a more holistic way of promoting a business online.


Maybe with the rise of deep personalization SEO will finally become Search
Experience Optimization, and have users at its center instead of search engines.


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