Marco Giordano
Marco Giordano

@GiordMarco96

24 Tweets Apr 03, 2023
#SEO tools can't replace insights, strategy, and business acumen.
Analytics is the same, as tools are mere instruments.
Then what's the difference between a good analysis and a bad one?
This is how you generate ๐Ÿ’ธ and create tons of value ๐Ÿงต
SEO and Analytics share too many things in common.
Both have professionals obsessed with tools.
And they require having a strong acumen and intuition about business.
It's unthinkable to do excellent SEO in an industry where you have no expertise.
Anyone can pay for a tool, but those won't give you superpowers.
Tools are necessary to achieve goals but they're not your objective.
They should help you in your daily activity and empower your output.
All the rest doesn't matter, YOU make the difference.
Extracting data from GSC is not where revenue is.
Doing automated Keyword Research is cool but won't make you rich.
Execution and getting insights are the real deal.
This is where you should spend the most time.
ChatGPT made many people realize that the average code is a commodity.
They won't ask an SEO to do it either, we are not developers.
With insights and acumen is a totally different story, you need skills.
And this is where you can add true value.
Interpreting data is hard.
Storytelling and making sense of it is even harder.
These are often forgotten because people overfocus on the operations.
But those can be automated by machines, there is no need to compete with them.
If you have to take a business decision, KD and SV won't help as you think.
Industry knowledge, business acumen, and budget will most likely affect your decision.
You are in for a wild ride if you let slip good opportunities just for a 3rd party metric.
Many overlook Mathematics/Statistics because you know, code works the same.
You can't say this if you touch data.
There is a minimum threshold you need to satisfy.
Understanding data and operations are crucial to creating meaningful reports/audits.
This is related to data literacy, the ability to create and understand data and information.
Misinformation is rampant in the SEO world, so you can imagine that it's even worse with related fields.
The best way to protect yourself is by having decent knowledge.
There are no shortcuts, it's all hard work and a lot of observation.
You don't need to analyze some websites because you can easily tell their potential.
This takes practice and a lot of acumen, something that not everyone can learn in 2 weeks.
Learning to code is a prerequisite if you want to pursue the data path.
But it's just the beginning and not part of your USP.
If you want something different, try web development instead.
For data, coding is merely a tool.
Insights can stem from:
- Your acumen/industry knowledge
- Data understanding
- Observation
- Patterns and connections
All of the things above require no code.
This is what makes a good Analyst.
Organizations don't pay for your Python skills, they pay for the outcome.
If you can convert a skill into some desired state, that's perfect.
You should sell a solution to a problem!
It's hard to give valuable insights when you don't know the industry.
Your insights will probably be irrelevant if you have never done Ecommerce before, for instance.
No code can save you if you don't know what to touch.
Analysts are crucial to interpreting, understanding, and questioning data.
ChatGPT & co are not there (yet, who knows).
This is where many fail, they are not able to provide actual value.
So start practicing and studying some business!
A big chunk of data and SEO projects lies in:
- communication
- storytelling
- prioritization
Not code.
The difference is all in how your present and justify data.
How can I connect data to SEO to craft a powerful strategy?
And once again, this is practice.
The other concern is data quality.
SEO is cursed with inaccurate and horrible data.
Nonetheless, we can still get some cool insights.
I have a lot of examples in my older threads:
Since there is no one else addressing these issues, I am releasing an ebook at the beginning of March 2023.
I've already hinted at it several times.
It won't be about low-level topics... it's a continuous WIP to think and execute like an Analyst.
Understanding all of these concepts goes through hard work and experience.
We can say it's very close to SEO, after all.
But I promise you, fixating on tools or copying developers is not worth it.
It's not what an Analyst does.
Overengineering is another sensitive issue.
The solution is often easier than you think.
Start with the simplest model/alternative first.
Don't wander off because you like it.
If a pivot table does the job, use it!
If you have to ask me, I'd say to focus on:
- Data Literacy
- Data Quality
- Data Understanding
- Business
- Communication
- Storytelling
Lots of stuff uh? But it works.
You'll be amazed by their synergy.
My next case studies will show you why data can aid you.
This is even more true if you need to purchase or evaluate domains.
There are some *things* that tools don't tell you...
But you can actually do much more by yourself.
Thanks, Analytics!
Follow me for threads, tips, and case studies (coming soon) about SEO, content, and Python/data.
If you liked this thread, consider liking and retweeting it!๐Ÿงต
I offer:
- Content audits for publishers and B2C content
- Consultancies and freelancing for publishers and B2C content
- Training and mentorship for data to anyone
bookk.me

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