Data Literacy is crucial in a data world.
Everything you do is controlled by some sort of data.
And yet, many #SEO professionals are played by them.
Let's see how you can raise your awareness to profit ๐งต
Everything you do is controlled by some sort of data.
And yet, many #SEO professionals are played by them.
Let's see how you can raise your awareness to profit ๐งต
"Data literacy can be defined as a combination of skills and mindsets that allows individuals to find insights and meaning within their data to enable effective, efficient data-informed decision-making."
Data Literacy in Practice by A. Klidas and K. Hanegan, Part 1
Data Literacy in Practice by A. Klidas and K. Hanegan, Part 1
Ok, now you have the cool definition and all.
Then, why an SEO should care?
Well, every literate person should.
We are surrounded by data and have to protect ourselves (and our wallets).
Then, why an SEO should care?
Well, every literate person should.
We are surrounded by data and have to protect ourselves (and our wallets).
Example 1: dashboards.
The average Looker dashboard is a blend of random numbers and plots.
They look nice and cool but add 0 value to a business.
Does a business owner care about the number of Users you get per month without context?
The average Looker dashboard is a blend of random numbers and plots.
They look nice and cool but add 0 value to a business.
Does a business owner care about the number of Users you get per month without context?
A dashboard should inform but also be useful for your audience.
An ugly solution wins over a fancy one as long as it works.
That's why you need Data Literacy, to understand what's needed and what's not.
An ugly solution wins over a fancy one as long as it works.
That's why you need Data Literacy, to understand what's needed and what's not.
Example 2: misusing metrics.
Oh gosh, this is so common.
That's why SEO is not taken seriously by some people.
Finding robust metrics is hard without data literacy.
And no, doing what others do isn't really a solution lol
Oh gosh, this is so common.
That's why SEO is not taken seriously by some people.
Finding robust metrics is hard without data literacy.
And no, doing what others do isn't really a solution lol
Custom metrics like Query Count or even categories based on clicks are far more useful than generic traffic indicators.
Reporting on metrics like Clicks is useful on some occasions, e.g. measuring content organic results.
But it's not relevant in other cases, e.g. profit.
Reporting on metrics like Clicks is useful on some occasions, e.g. measuring content organic results.
But it's not relevant in other cases, e.g. profit.
I love segmenting and labeling data because it uncovers endless opportunities.
This also lets you discover new ways of looking at data and understanding SEO.
Classifying queries based on clicks/impressions is one way.
This also lets you discover new ways of looking at data and understanding SEO.
Classifying queries based on clicks/impressions is one way.
Example 3: case studies.
I mean, correlative case studies.
Those published by tools boast crazy results or prove obvious facts.
A lot of businesses get tricked by fancy words and fall prey of shiny objects.
Needless to say, it's less budget for actual good work.
I mean, correlative case studies.
Those published by tools boast crazy results or prove obvious facts.
A lot of businesses get tricked by fancy words and fall prey of shiny objects.
Needless to say, it's less budget for actual good work.
It's your role as an SEO to ensure misinformation prevention in our industry.
And this isn't possible with SEO/Marketing skills alone.
That's why in the last 10 years we saw an increase in data professionals.
And this isn't possible with SEO/Marketing skills alone.
That's why in the last 10 years we saw an increase in data professionals.
If you want to prove your points and generalize your results, you need Statistics.
There is no other way around it, you need to prove it.
This is close to impossible with Google, as they claim many things while doing the opposite.
There is no other way around it, you need to prove it.
This is close to impossible with Google, as they claim many things while doing the opposite.
On the other hand, case studies proving the success of your work are great.
You are not generalizing anything and you know what you did exactly and when.
We should encourage them and demonize all the clickbait articles with pointless conclusions.
You are not generalizing anything and you know what you did exactly and when.
We should encourage them and demonize all the clickbait articles with pointless conclusions.
As you may have noticed, you don't need to know it all.
There is no need to prove backlinks are important, we already know.
Some shady tools even claim that many HTML factors affect ranking.
I don't have to tell you it's BS.
There is no need to prove backlinks are important, we already know.
Some shady tools even claim that many HTML factors affect ranking.
I don't have to tell you it's BS.
Data literacy protects our industry against snake-oil sellers.
You don't know how many companies have lost money due to bad work or unclear KPIs.
This new interest in data is a good way to reinforce good information.
You don't know how many companies have lost money due to bad work or unclear KPIs.
This new interest in data is a good way to reinforce good information.
So, how do I improve my literacy?
Practice, play with data, ask questions and try to debate what you discovered.
This book can help you (only $:
packtpub.com
Practice, play with data, ask questions and try to debate what you discovered.
This book can help you (only $:
packtpub.com
Follow me for threads, tips, and case studies (coming soon) about SEO, content, and Python/data.
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