bSEO Claudia Higgins _ Breaking down silos_ how integrated data sets enhance SEO strategies.pptx
Apr. 28, 2023•0 likes•37 views
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Data & Analytics
How we should be thinking about data when measuring SEO performance and finding opportunities - data sources need to be combined to show us the whole picture.
bSEO Claudia Higgins _ Breaking down silos_ how integrated data sets enhance SEO strategies.pptx
1. Breaking down silos:
how integrated data sets
enhance SEO strategies
Slideshare.Net/ClaudiaHiggins1
@conductor
Claudia Higgins (she/her)
CONDUCTOR
2. Why I’m here
Claudia Higgins
@Twitter
#brightonSEO
To understand why I love this stuff, I think it helps to
know a bit about me.
Like most SEOs, I had a strange career history
before landing here, but I have never met someone
with a weirder career history than me.
I got a degree in primary education and was briefly
a primary school teacher, but that didn’t work for me
so I made the logical step to retrain as…
4. #brightonSEO Claudia Higgins
That might seem insane, and it probably was, but looking back I can now see
that both of these professions leveraged some things I love:
1. helping people understand concepts and have what they need to be self-
sufficient,
2. creativity and visual communication.
So is that why I chose to move into SEO?
7. #brightonSEO Claudia Higgins
- … and I also have ADHD and love collecting information
and solving problems and mysteries.
8. #brightonSEO Claudia Higgins
But during my time doing in-house
SEO, I found that understanding SEO
data was usually like exploring a dark
building with a torch.
9. #brightonSEO Claudia Higgins
There was lots of useful stuff in
there but I could only see small
parts of it at a time. What I
wanted to do was turn the lights
on and look at the whole picture.
10. #brightonSEO Claudia Higgins
When I’m talking about SEO data, I’m
starting with the three data sets that
almost all SEOs have access to:
1. Rank data about where my site and
my competitors rank for different terms
11. Rank data #brightonSEO Claudia Higgins
2. Data from Google Search
Console about where users are
seeing and clicking on our results
12. - site analytics data about what
those users do once they’re on
the site.
Rank data
GSC data
#brightonSEO Claudia Higgins
3. Site analytics data
about what those users do
once they’re on the site.
14. what caused this change in performance?
#brightonSEO Claudia Higgins
But when they’re kept separate, it’s hard to answer the exact
kind of questions we need to be able to answer:
(This question usually comes from
ourselves, or more senior people in our
department.)
15. Credibility
#brightonSEO Claudia Higgins
If we can’t answer questions like this, it’s
going to impact our ability to be credible,
and believe me - I know how long it takes to
rebuild credibility after it’s lost.
16. where are our best opportunities?
#brightonSEO Claudia Higgins
(Being able to answer this question is vital to knowing
what we should be working on and why)
17. Credibility Effectiveness
#brightonSEO Claudia Higgins
If we can’t answer it,
we’re not going to be as
effective as we should
be, and we risk
spending our time on
things that don’t actually
make much of a
difference
18. what impact did our optimisations have?
#brightonSEO Claudia Higgins
This one has historically been hard, especially for those of us
with bigger sites:
Even if we record every optimisation we make, we then have to correlate that
with data from multiple sources to understand the full picture, and we have to
browse through dates for each one because we don’t know how long it will
take for the changes to have an impact.
That’s a lot of work to do for every optimisation we make.
19. Credibility Effectiveness Success
#brightonSEO Claudia Higgins
But if we can’t do it, how can we prove that our work has been successful?
Aside from contributing to credibility, buy-in and reputation, knowing what’s been
successful is vital for knowing which strategies we should be investing our time in.
20. `
What links SEO datasets?
Search Term Entry Page
#brightonSEO Claudia Higgins
For SEO, all the data we have can be connected to one of these two elements:
25. How do we bring all
these threads
together?
#brightonSEO Claudia Higgins
26. Excel & Google Sheets
● Export data from each source
● Store in their own tabs
● Create dashboard tabs
● HLOOKUP
● VLOOKUP
● INDEX/MATCH
● SUMIF / SUMIFS
#brightonSEO Claudia Higgins
27. PowerBI, Tableau etc.
● Easier to cleanse data to
match more easily
● Link data sets by URL or KW
● More interactive output
● Steep learning curve
● I LOVE IT
● I HATE IT
#brightonSEO Claudia Higgins
28. Enterprise platforms
● Most already ingest your
analytics and GSC data
● No longer good enough to
show you insights in silos
● Product development focused
on intelligent and integrated
insights
#brightonSEO Claudia Higgins
29. Credibility Effectiveness Success
#brightonSEO Claudia Higgins
Let’s come back to those three broad benefits of being able to see the big picture. How
much more credible, effective, and successful could you be if you could confidently make
statements like those on the next slides?
30. “Improving this page last month has
improved our ranks for these terms,
and increased revenue by x%, all
from non-brand clicks”
#brightonSEO Claudia Higgins
31. “We’re prioritising improving the
position of these page 2 terms,
because the pages we rank with
convert really well”
#brightonSEO Claudia Higgins
32. “We’re going to optimise the meta
descriptions for these pages, because
their CTR is below the average we
see for that ranking position”
#brightonSEO Claudia Higgins
35. “These are the highest-converting
paid terms we currently rank outside
the top 10 for.”
#brightonSEO Claudia Higgins
36. “We did an A/B test using PPC and
found that this meta description
would likely improve CTR”
#brightonSEO Claudia Higgins
37. “Since the last algorithm update, our
slower-loading page templates are
dropping in both rank position and
visits”
#brightonSEO Claudia Higgins
38. “We noticed this term was driving a
lot more clicks this month and saw
that you made some improvements to
that page a few weeks ago. It worked
really well - can we roll that
approach out to similar pages?”
#brightonSEO Claudia Higgins
To understand why I love this stuff, I think it helps to know a bit about me. Like most SEOs, I had a strange career history before landing here, but I have never met someone with a weirder career history than me. I got a degree in primary education and was briefly a primary school teacher, but that didn’t work for me so I made the logical step to retrain as…
A tattoo artist. That might seem insane and it probably was, but looking back I can now see that both of these professions leveraged some things I love - helping people understand concepts and have what they need to be self-sufficient, and creativity and visual communication. So why did I move into SEO?
Because I wanted a salaried job to get a mortgage. It was pretty much an accident. I was already temping at Argos head office while I trained as a tattoo artist, because I live in Milton Keynes and it was in my hometown, and there was a role available in the SEO team. But why did I stay?
Because I wanted a salaried job to get a mortgage. It was pretty much an accident. I was already temping at Argos head office while I trained as a tattoo artist, because I live in Milton Keynes and it was in my hometown, and there was a role available in the SEO team. But why did I stay?
Because I am first and foremost an enormous nerd…
… and I also have ADHD and love collecting information and solving problems and mysteries.
But during my time doing in-house SEO, I found that understanding SEO data was usually like exploring a dark building with a torch - there was lots of useful stuff in there but I could only see small parts of it at a time. What I wanted to do was turn the lights on and look at the whole picture.
But during my time doing in-house SEO, I found that understanding SEO data was usually like exploring a dark building with a torch - there was lots of useful stuff in there but I could only see small parts of it at a time. What I wanted to do was turn the lights on and look at the whole picture.
When I’m talking about SEO data, I’m starting with the three data sets that almost all SEOs have access to:
Rank data about where my site and my competitors rank for different terms
Data from Google Search Console about where users are seeing and clicking on our results
And site analytics data about what those users do once they’re on the site.
But when they’re kept separate, it’s hard to answer the exact kind of questions we need to be able to answer:
And site analytics data about what those users do once they’re on the site.
But when they’re kept separate, it’s hard to answer the exact kind of questions we need to be able to answer:
This question usually comes from ourselves, or more senior people in our department.
If we can’t answer questions like this, it’s going to impact our ability to be credible, and believe me - I know how long it takes to rebuild credibility after it’s lost.
Being able to answer this question is vital to knowing what we should be working on and why
If we can’t answer it, we’re not going to be as effective as we should be, and we risk spending our time on things that don’t actually make much of a difference
This one has historically been hard, especially for those of us with bigger sites. Even if we record every optimisation we make, we then have to correlate that with data from multiple sources to understand the full picture, and we have to browse through dates for each one because we don’t know how long it will take for the changes to have an impact. That’s a lot of work to do for every optimisation we make.
But if we can’t do it, how can we prove that our work has been successful? Aside from contributing to credibility, buy-in and reputation, knowing what’s been successful is vital for knowing which strategies we should be investing our time in.
Let’s look at Search Term data first.
Our rank tracking tool should tell us where we rank, and with which URLs, as well as our competitors’ presence and the other kinds of results on the results page.
GSC gives us granular data about how users interact with those results. I’ve greyed out Position because I don’t find that metric from GSC helpful, but that’s a conversation for another time.
Our analytics data can’t help us here.
We can then slice this using our knowledge of what matters and how things are linked
Rank tracking data for pages should be able to tell us all the terms a page ranks for, and in what positions
GSC data can tell us the terms that are driving clicks to that URL
But this is where analytics data comes into its own - once people land on one of these pages, this data tells us all sorts of things about what they do. This is how we learn the value of the visits we drive.
And again, we can slice this data using what we know about the pages and how they are connected
Given how much of a nerd I am about this stuff, it’s great working for one of the big SEO platforms now, because I get to hear all the exciting projects our Product team are working on behind the scenes - how we’re changing the way our data is structured so that we can do smarter stuff with all the information we already have, and how we’re incorporating machine learning and AI, ChatGPT etc.
Let’s come back to those three broad benefits of being able to see the big picture. How much more credible, effective, and successful could you be if you could confidently make statements like these?
Credibility & success
Effectiveness
Effectiveness
What else can we plug in? PPC data? Technical crawl data and change detection?
What else can we plug in? PPC data? Technical crawl data and change detection?