SEO and UX teams don't collaborate enough according to the document. Rankbrain, Google's machine learning algorithm, is able to measure user interactions like click-through-rates and dwell time which could reward websites with better user experiences in search results. The document discusses tensions between optimizing for search engines versus users and provides tips for UX and SEO teams to work better together like working from the same brief, making an effort to understand each other's work, making work visible to the other team, and educating one another.
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Julio Taylor and Ben Wood - SEO and UX teams, unite!
5. SEO and UX teams don’t collaborate enough.
This has to change.
5
6. Basic principles of SEO
Technology
Relevance
Authority Links, brand mentions, citations...
Keywords, content, meta data...
HTML, sitemaps, URLs, Pagespeed, Schema...
8. Rankbrain
RankBrain is a machine learning (AI) algorithm
that Google uses to sort the search results. It
also helps Google process and understand
search queries.
14. Nick Frost, Head Google Brain, Toronto/Canada - 2017
This from the horse's mouth...
15. Google patent - User Click Through Rates (Mar 2019)
https://gofishdigital.com/user-click-through-rates-and-search-result-rankings-at-google/
16. It’s able to measure how you interact with the search results.
● Organic Click-Through-Rate
● Dwell Time
● Pogo-sticking
Google can interpret these engagement metrics to provide
implicit feedback for algorithm refinements.
What exactly is Google observing?
25. Accurate natural language processing has, until very
recently, existed only in the realm of science fiction.
26. 2
6
We’ve now reached a tipping point where there’s enough
processing power to make speech recognition and
interaction a viable alternative to visual interfaces.
37. What can Google measure?
● Time between SERP click -> website session
● Another result click after initial SERP click
● Leaving Google altogether
● Total SERP session
● Interaction with a featured snippet
● SERP CTR
38. What simple UX measures can we use?
Measure Where to find it
Task success (e.g. Goal completions) Google Analytics > Conversions
Scroll depth Google Analytics > Events (via GTM)
Bounce rate Google Analytics > Behaviour
Dwell time Not available in GA, closest alternative =
session duration (source = organic)
Attitudinal metrics Online surveys via Unbounce, VWO etc.
40. Advanced UX measures
● Use custom JavaScript events to
measure content consumption
depth - e.g. fire after 5 seconds
without scroll movement (removes
initial ‘test’ scrolling)
● Single element (e.g. button)
engagement - fire after 3 seconds
mouseover
● Rage clicking!! - fire when 3 clicks
occur within 1 second
41. If we’re talking about UX, we’re talking about CRO
128 transactions
Current state
Opportunity
Approx 10,395
sessions/mont
h
0.5%
conversion rate
1.24%
conversion rate
182 transactions
1.75%
conversion rate
Approx 10,395
sessions/mont
h
A relatively small
improvement in conversion
rate has a big impact on
enquiry volumes / revenue
46. Optimising Navigation for UX and SEO
Nav Nav Nav Nav Nav Nav Nav Nav
Sub
Sub
Sub
P1
P2
P3
Link Link Link Link
UX-only world UX + SEO world
47. Learning the hard way
Link Link Link Link
Nav Nav Nav Nav Nav
Sub
Sub
Sub
P1
P2
P3
48. Optimising content for UX and SEO
Nav Nav Nav Nav Nav Nav Nav Nav
UX-only world UX + SEO world
Travel route finder
Find the perfect route between X and X
with our interactive route finder etc.
Not everyone uses GA: In 2012, an estimated 10+ million websites had Google Analytics installed. Even if this number has grown tenfold since then (it probably hasn’t), that still leaves only 10% of all websites with GAinstalled. Would Google really be able to decipher anything of true value from analysing bounce rate on just 1/10th of the world’s websites? Maybe, but I suspect the data would be mostly useless;
GA is often incorrectly installed: Anyone who’s ever done an SEO audit will know how important it is to check that GA isn’t mis‐installed. This is a common issue and it can often cause bounce rates to be inflated. This would be inaccurate data for Google;
Ad blockers often block GA code: An estimated 30% of web users have an ad blocker installed and almost all these blacklist google-analytics.com by default. They also block any attempts made by the Google Analytics JavaScript library. If Google were secretly using GA code, it would be roughly ⅓ incomplete.