My CXL Live (#CXLLive) 2019 presentation looking at full funnel testing that combines SEO A/B testing with CRO split testing to help us all work together better.
21. Conversion rate
optimization focuses on
converting more of your
existing traffic (bottom of
the funnel)
Search engine
optimization focuses on
getting additional traffic to
your website (top of
funnel)
Conversion Rate
Optimization
Search Engine
Optimization
22. Conversion rate
optimization focuses on
converting more of your
existing traffic (bottom of
the funnel)
Search engine
optimization focuses on
getting additional traffic to
your website (top of
funnel)
Full funnel testing
combines these
approaches to do both at
the same time resulting in
higher ROI from testing
Conversion Rate
Optimization
Search Engine
Optimization
Full Funnel Testing
31. Cats Dogs Unicorns Badgers
CRO test - different users see different templates on the same pages
1
32. Cats Dogs Unicorns Badgers
CRO test - different users see different templates on the same pages
1
2
Cats BadgersDogs Unicorns
33. Cats Badgers
SEO test - different users see the same templates on DIFFERENT pages
1
2
Cats Badgers
Cats Badgers
34. Cats Badgers Unicorns Dogs
SEO test - different users see the same templates on DIFFERENT pages
Cats Badgers Unicorns Dogs
Cats Badgers Unicorns Dogs
1
2
35. The site looks like this during the test
Home
Animals
Cats Dogs
Countries
Scotland England Ireland WalesUnicorns Badgers
36. Animals
A B A B A B A B
Animals
A B A B
SEO testingCRO testing vs.
37. As a result, after a load of statistics, we get output like this
38. The fans show margin of error in total additional
sessions
39. The test is significant when the shaded area crosses 0
64. CTR for algorithm
evaluation
This has been
confirmed
repeatedly.
CTR for
personalization
Slightly more
controversial as
we don’t know
exactly what they
mean.
65. CTR for algorithm
evaluation
This has been
confirmed
repeatedly.
CTR for
personalization
Slightly more
controversial as
we don’t know
exactly what they
mean.
Human UX
ratings
Qualitative ratings
of pages that rank:
used to evaluate
algorithms
66. CTR for algorithm
evaluation
This has been
confirmed
repeatedly.
CTR for
personalization
Slightly more
controversial as
we don’t know
exactly what they
mean.
Human UX
ratings
Qualitative ratings
of pages that rank:
used to evaluate
algorithms
ML models
trained on ratings
E.g. Panda -
trained to like the
things humans
like
67. CTR for algorithm
evaluation
This has been
confirmed
repeatedly.
CTR for
personalization
Slightly more
controversial as
we don’t know
exactly what they
mean.
Human UX
ratings
Qualitative ratings
of pages that rank:
used to evaluate
algorithms
ML models
trained on ratings
E.g. Panda -
trained to like the
things humans
like
Site speed
measured
directly
Real User Metrics
including site
speed from
Chrome
68. CTR for algorithm
evaluation
This has been
confirmed
repeatedly.
CTR for
personalization
Slightly more
controversial as
we don’t know
exactly what they
mean.
Human UX
ratings
Qualitative ratings
of pages that rank:
used to evaluate
algorithms
ML models
trained on ratings
E.g. Panda -
trained to like the
things humans
like
Site speed
measured
directly
Real User Metrics
including site
speed from
Chrome
CTR as direct
ranking factor
This has been
explicitly denied
by Google reps.
69. Image source
Come to an SEO conference for more
London Boston San Diego
www.distilled.net/events
81. We just need to know that UX is aligned with Google’s goals
But we don’t need the futurist
perspectives or the tinfoil hat conspiracy
theories for my purposes here
82. We just need to know that UX is aligned with Google’s goals
1. Panda (ML-trained on UX signals)
2. Quant and qual measurement of algo
changes using UX metrics
83. We should be building SEO
hypotheses from UX fundamentals
87. We just need to know that UX is aligned with Google’s goals
But we don’t need the futurist
perspectives or the tinfoil hat conspiracy
theories for my purposes here
88. We just need to know that UX is aligned with Google’s goals
1. Panda (ML-trained on UX signals)
2. Quant and qual measurement of algo
changes using UX metrics
89. To know that we should be building
SEO hypotheses from UX
fundamentals