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The UK’s foremost pure play SEO Agency
LARGE SCALE
LOCALISED LANDING PAGE SEO
@bluearrayseo
INTRODUCING ‘MOATING’
Creating a moat around your
number one ranking castle
@bluearrayseo
@bluearrayseo
BUT FIRST…
LET’S GO BACK…
...BACK TO APRIL 2016 &
‘THINK WITH GOOGLE’
@bluearrayseo
Mobile search in 2018 accounts for
almost 60% of all US online traffic.
*“Nearly 1/3 of all mobile searches
are related to location.”
LOCAL SEARCHES
*https://www.thinkwithgoogle.com/consumer-insights/local-s
earch-mobile-search-micro-moments/
@bluearrayseo
*Zip code ‘qualifiers’ are e.g “Mexican restaurants 75215” via
https://www.thinkwithgoogle.com/consumer-insights/local-search-mobile-search-micro-mome
nts/
Users are increasingly less
inclined to type location
*qualifiers.
“local relevance is expected,
but not always overtly
requested.”
Lisa Gevelber (Google's Global VP
Marketing), August 2017
INTENT IS ASSUMED
@bluearrayseo
₁ Head terms would typically be one word high search volume queries related to your product or
service.
₂ Google likely use aggregated user behavior among other signals
When Google receives a query
related to your product or
service, how do we know local
intent is in play if it’s not
always explicitly typed by the
user?
If your ₁head or fat belly terms
trigger:
*Maps in search results
*Localised competitor pages
Location related modifiers in:
*₂Autocomplete
*₂Related searches
WHEN SHOULD YOU CARE?
@bluearrayseo
If you have a website tied to
localities, you need “what +
where pages” that;
Offer genuine utility & value
Are unique per locality
Have high quality content
Low cost to scale
Evergreen
It’s a tough ask...
LOCALISED
LANDING PAGES
●
●
●
●
●
@bluearrayseo
Localised landing pages can
take many forms:
● Yellowpages.com
● Booking.com
● Trulia
● AutoTrader
● Airbnb
● Yelp
● Golfadvisor.com
● Sixt.com
● Craigslist.org
EXAMPLES
@bluearrayseo
Localised landing pages can
be at risk of algorithmic and
manual penalisation.
On the manual side we need to
avoid being classed as any of
the below:
● A cookie-cutter site
● Having doorway pages
● Auto generated content
● Copied content
WARNINGS
@bluearrayseo
WHAT ARE THE TWO MAIN
ALGORITHMIC CONCERNS?
@bluearrayseo
Panda is a core ranking signal
and a part of the algorithm is
focused on thin pages:
● Auto generated content
● Thin affiliate pages
(e.g. just feeds)
● Content from other sources,
for example: Scraped
content or low-quality guest
blog posts
Thin content is not typically low
word count.
THIN CONTENT
@bluearrayseo
Not a penalty. Duplicate
content is not the same as
copied content.
Much of the main content on
landing pages should be
unique and offer significant
value difference against
internal pages and
competitors.
DUPLICATE CONTENT
@bluearrayseo
What does good look like?
ClickMechanic.com
Strong CTA above the fold
Unique value add below the
fold on <what> + <where>
pages via user reviews
No duplication because
centroid is the main factor,
layered with an algorithm
GOOD LOCAL LANDING PAGES
@bluearrayseo
What does good look like?
Zoopla.co.uk
(similar to Trulia in the US) -
IPO of $1.3bn
Value add on <what> +
<where> pages comes via
property details snippets (20
per page)
No duplication again because
of centroid and relevancy and
a different default sort order
to competitors (most recent)
GOOD LOCAL LANDING PAGES
(2)
@bluearrayseo
What does good look like?
Ihateironing.com
Strong CTA above the fold
Unique value add below the
fold on <what> + <where>
pages via bricks and mortar
(local listing) data
No duplication because
centroid is the main factor +
geo fenced. Pagination to
show depth
GOOD LOCAL LANDING PAGES
(3)
@bluearrayseo
Visits improved 204% YoY.
Mobile traffic (inc. tablet) grew
307% vs. 169% on desktop.
IMPACT (ihateironing.com)
@bluearrayseo
*There are 19,354 incorporated places in the United States. If you
had ten service types covering those places = 193,540 pages of
content.
What other ideas could we use
to offer unique value on
localised landing pages?
● RFQ data
● UGC (=<$)
● Data points & aggregates
Your creative ideas that
crucially, can *scale…
What about manually adding
text to pages?
LOCAL LANDING PAGES
@bluearrayseo
A surprising discovery was
that blocks of text related to
the locality on search results
pages (SRPs) appeared to
have no impact on ranking.
The longer term impact may
be second order though e.g
becomes more linkable.
Arguably could help with
longer tail keywords as well.
SRPs & TEXT BLOCKS
@bluearrayseo
PAUSE
@bluearrayseo
WHERE DO YOU GO
AFTER NUMBER 1?
Once you’ve achieved number one ranking for your
keywords, where can you go. What if #1 is impossible?
@bluearrayseo
We’ve all heard of Barnacle
SEO?
Like Barnacles attached to a
ships hull.
Third party assets that we can
attach to with relevant content,
keywords and/or media.
BARNACLE SEO?
@bluearrayseo
BACK TO
MOATING
@bluearrayseo
Practical example:
● Zoopla.co.uk
● Primelocation.com
● Homes24.co.uk
(pssstt... it’s all the same data)
Primelocation was a legitimate
acquisition and the other a
grey label.
It’s ‘Acquisition SEO’ but on
steroids.
MOATING (practical example)
@bluearrayseo
If you’re viewing these slides
online and missed the talk at
State of Search 2018,
I’m sorry.
THE SECRET
SAUCE!
@bluearrayseo
Clickshare being distributed
between positions 1-10.
Pos. 1 = ~*21% CTR
Pos. 5 = ~*4% CTR
Pos. 10 = ~*1% CTR
ISN’T THIS
CANNIBALISATION?
*CTR by industry ‘Real Estate’ across all devices.
advancedwebranking.com/ctrstudy/ @bluearrayseo
Rightmove 11m vs.
Zoopla 8m vs.
Primelocation 2m vs.
Homes24 200k
NUMBERS
@bluearrayseo
Far more M&A activity for SEO.
Publishers could help brands
with keywords they’re trying to
target with SEO advertorials
and grey labels.
This may even become a
serious revenue channel for
publishers.
WHERE COULD
THIS LEAD?
@bluearrayseo
IN SUMMARY
● ‘Think with Google’ gave us some incredible data we can
act upon
● Scaling localised landing pages is tough but with massive
upsides (big ROI)
● There is room for more traffic beyond number one rankings
● ‘Moating’ could leads to more M&A activity in SEO
and a beacon of hope for publishers
@bluearrayseo
THANK YOU
FOR LISTENING
@bluearrayseo

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Large Scale Localised Landing Page SEO - Simon Schneiders

  • 1. The UK’s foremost pure play SEO Agency LARGE SCALE LOCALISED LANDING PAGE SEO
  • 2. @bluearrayseo INTRODUCING ‘MOATING’ Creating a moat around your number one ranking castle @bluearrayseo
  • 4. ...BACK TO APRIL 2016 & ‘THINK WITH GOOGLE’ @bluearrayseo
  • 5. Mobile search in 2018 accounts for almost 60% of all US online traffic. *“Nearly 1/3 of all mobile searches are related to location.” LOCAL SEARCHES *https://www.thinkwithgoogle.com/consumer-insights/local-s earch-mobile-search-micro-moments/ @bluearrayseo
  • 6. *Zip code ‘qualifiers’ are e.g “Mexican restaurants 75215” via https://www.thinkwithgoogle.com/consumer-insights/local-search-mobile-search-micro-mome nts/ Users are increasingly less inclined to type location *qualifiers. “local relevance is expected, but not always overtly requested.” Lisa Gevelber (Google's Global VP Marketing), August 2017 INTENT IS ASSUMED @bluearrayseo
  • 7. ₁ Head terms would typically be one word high search volume queries related to your product or service. ₂ Google likely use aggregated user behavior among other signals When Google receives a query related to your product or service, how do we know local intent is in play if it’s not always explicitly typed by the user? If your ₁head or fat belly terms trigger: *Maps in search results *Localised competitor pages Location related modifiers in: *₂Autocomplete *₂Related searches WHEN SHOULD YOU CARE? @bluearrayseo
  • 8. If you have a website tied to localities, you need “what + where pages” that; Offer genuine utility & value Are unique per locality Have high quality content Low cost to scale Evergreen It’s a tough ask... LOCALISED LANDING PAGES ● ● ● ● ● @bluearrayseo
  • 9. Localised landing pages can take many forms: ● Yellowpages.com ● Booking.com ● Trulia ● AutoTrader ● Airbnb ● Yelp ● Golfadvisor.com ● Sixt.com ● Craigslist.org EXAMPLES @bluearrayseo
  • 10. Localised landing pages can be at risk of algorithmic and manual penalisation. On the manual side we need to avoid being classed as any of the below: ● A cookie-cutter site ● Having doorway pages ● Auto generated content ● Copied content WARNINGS @bluearrayseo
  • 11. WHAT ARE THE TWO MAIN ALGORITHMIC CONCERNS? @bluearrayseo
  • 12. Panda is a core ranking signal and a part of the algorithm is focused on thin pages: ● Auto generated content ● Thin affiliate pages (e.g. just feeds) ● Content from other sources, for example: Scraped content or low-quality guest blog posts Thin content is not typically low word count. THIN CONTENT @bluearrayseo
  • 13. Not a penalty. Duplicate content is not the same as copied content. Much of the main content on landing pages should be unique and offer significant value difference against internal pages and competitors. DUPLICATE CONTENT @bluearrayseo
  • 14. What does good look like? ClickMechanic.com Strong CTA above the fold Unique value add below the fold on <what> + <where> pages via user reviews No duplication because centroid is the main factor, layered with an algorithm GOOD LOCAL LANDING PAGES @bluearrayseo
  • 15. What does good look like? Zoopla.co.uk (similar to Trulia in the US) - IPO of $1.3bn Value add on <what> + <where> pages comes via property details snippets (20 per page) No duplication again because of centroid and relevancy and a different default sort order to competitors (most recent) GOOD LOCAL LANDING PAGES (2) @bluearrayseo
  • 16. What does good look like? Ihateironing.com Strong CTA above the fold Unique value add below the fold on <what> + <where> pages via bricks and mortar (local listing) data No duplication because centroid is the main factor + geo fenced. Pagination to show depth GOOD LOCAL LANDING PAGES (3) @bluearrayseo
  • 17. Visits improved 204% YoY. Mobile traffic (inc. tablet) grew 307% vs. 169% on desktop. IMPACT (ihateironing.com) @bluearrayseo
  • 18. *There are 19,354 incorporated places in the United States. If you had ten service types covering those places = 193,540 pages of content. What other ideas could we use to offer unique value on localised landing pages? ● RFQ data ● UGC (=<$) ● Data points & aggregates Your creative ideas that crucially, can *scale… What about manually adding text to pages? LOCAL LANDING PAGES @bluearrayseo
  • 19. A surprising discovery was that blocks of text related to the locality on search results pages (SRPs) appeared to have no impact on ranking. The longer term impact may be second order though e.g becomes more linkable. Arguably could help with longer tail keywords as well. SRPs & TEXT BLOCKS @bluearrayseo
  • 21. WHERE DO YOU GO AFTER NUMBER 1? Once you’ve achieved number one ranking for your keywords, where can you go. What if #1 is impossible? @bluearrayseo
  • 22. We’ve all heard of Barnacle SEO? Like Barnacles attached to a ships hull. Third party assets that we can attach to with relevant content, keywords and/or media. BARNACLE SEO? @bluearrayseo
  • 24. Practical example: ● Zoopla.co.uk ● Primelocation.com ● Homes24.co.uk (pssstt... it’s all the same data) Primelocation was a legitimate acquisition and the other a grey label. It’s ‘Acquisition SEO’ but on steroids. MOATING (practical example) @bluearrayseo
  • 25. If you’re viewing these slides online and missed the talk at State of Search 2018, I’m sorry. THE SECRET SAUCE! @bluearrayseo
  • 26. Clickshare being distributed between positions 1-10. Pos. 1 = ~*21% CTR Pos. 5 = ~*4% CTR Pos. 10 = ~*1% CTR ISN’T THIS CANNIBALISATION? *CTR by industry ‘Real Estate’ across all devices. advancedwebranking.com/ctrstudy/ @bluearrayseo
  • 27. Rightmove 11m vs. Zoopla 8m vs. Primelocation 2m vs. Homes24 200k NUMBERS @bluearrayseo
  • 28. Far more M&A activity for SEO. Publishers could help brands with keywords they’re trying to target with SEO advertorials and grey labels. This may even become a serious revenue channel for publishers. WHERE COULD THIS LEAD? @bluearrayseo
  • 29. IN SUMMARY ● ‘Think with Google’ gave us some incredible data we can act upon ● Scaling localised landing pages is tough but with massive upsides (big ROI) ● There is room for more traffic beyond number one rankings ● ‘Moating’ could leads to more M&A activity in SEO and a beacon of hope for publishers @bluearrayseo