You've probably asked yourself what these 5 terms mean...

Analytics, AI, SaaS, Big Data, NLP.

If you work in #SEO, this thread is for you.

Let's explain them like we are 5 years old 🧵
Analytics is the discovery and communication of patterns and insights in data.

Analyzing Google Search Console data is such an example.

This is where many SEOs fall short, as this discipline isn't just filtering data!
Data Science is the parent of Analytics.

You may also want to check this thread to broaden your knowledge.

SaaS is one of the most "recent" buzzw- I mean terms online.

It's software you don't install on your computer.

You can use Semrush from your browser, you don't install anything.

The only difference is where it runs.
SaaS is one of the most profitable models out there.

Some of the best projects out there aren't always based on cutting-edge tech.

Canva is a great example, simple and sweet.
Big Data refers to an enormous quantity of data that grows over time.

Data on the web are such an example, or even what Google has to handle every day.

There is no magic size to define something as officially "big".

Be sure that if it runs on your laptop, it's far from big 😄
You don't deal with Big Data in SEO unless you are working with extremely big log files.

Even if you need cloud, it's often not big data.

The lesson here is that you don't need to obsess over this.
I've already talked about #NLP in the thread below.

It's not the usual fluff with AI generated content or magic tricks.

The main danger of NLP is that you hear marketers talking about the topic.

The vast majority don't even know what they are blabbing about.

Do your own research and study from books or reliable blogs/channels.
All of these topics are not SEO.

They are separate disciplines that interact with SEO but this is true for any other industry.
And if you want to study Analytics, I am writing an ebook about its use cases for SEO.

It will receive consistent updates over time, so it's not just another ebook.
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!🧵
What can actually improve my business/SEO activity then?

Analytics, good systems, and business acumen.

You can book a call with me (if you have a B2C content website/publisher):

bookk.me/marcogiordano

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More from @GiordMarco96

Feb 28
How can you apply #Python for #SEO to get outstanding results?

I will show you some examples of what you can do without spending money.

This thread is all about Python and quick wins and insights 🧵
Disclaimer: I am not listing source codes here, I will make separate threads later.

The goal of this thread is to give you the footprint and the direction.

And remember, Analytics is different.

Scripting alone is not doing analysis and who tells you the opposite... is lying.

I recommend the following framework below:
Read 33 tweets
Feb 27
Tired of the usual boring content website advice?

"Publish more, wait some time"

I give you some tips to actually future-proof your business.

No fluff, only cold facts from an #SEO and Data Analyst 🧵
The generic advice "publish more" isn't wrong per se.

But it's subpar advice and many savvy entrepreneurs already know that.

Just publishing is not enough because you need to maintain your content.

It costs a lot of money and time to update 1K+ articles.
Let's assume you need to update 100 articles every month.

You need to pay someone and while they are at it, they can't do other things.

It's clear that you have to take content management into account.

Who will update the content?
Read 17 tweets
Feb 9
Data Skills and Analytics for #SEO essentials.

What you need to combine 2 of the most lucrative skills out there.

💯 Updated version with new content.

My 30 best threads in a single place:
Introduction to #nlp to understand how modern search engines work.
The Best SEO Python Libraries You Have to Use.

What I list here is more than necessary to start getting results.
Read 36 tweets
Feb 8
Testing is crucial in #SEO and you should always trust your results.

Don't listen to the buzz if you have no experience.

So how can you improve?

Some tips for more $$ and to working better with limited resources 🧵
2022 was the year of shiny objects, I barely recall 2-3 things that actually had an impact on my work.

I can tell you that simplification is still the best skill you can have.

If you have the confidence to make a complex problem look easy, then you are fine.
While I don't advocate practices that can negatively affect your business, I suggest you always test.

Google documentation isn't always that truthful.

Want one example?

How we use the Indexing API.

As long as you add value to the user, you can pretty much whatever you want.
Read 19 tweets
Feb 7
Do you know where many content websites struggle?

Processes because neither tools nor the #SEO industry talks about them.

It's all about abstraction and shiny objects, right?

Let's see some practical steps for ROI and 💸 🧵
Disclaimer: this is not about project management or strange English words.

It's mostly simple stupid concepts that can be put to great use.

The majority of what's here is Analytics and common sense!
The first recommendation is to always label your data.

If you have a content plan (you should), it needs to contain:

- The cluster(s) an article belongs to

- Additional information like author, date published

You add what you can't scrape or see elsewhere.
Read 15 tweets
Jan 25
The 5 Most Underrated But Profitable Google Search Console Metrics And Concepts.

Many websites don't use GSC to its full potential.

💡 You can have access to so many insights...

This data are for FREE but only a few can use it.

The most unique thread on GSC across TW 🧵
1. Unique query count by page.

Get the unique number of queries for each page.

This is an excellent measure to benchmark your efforts and find influential pages.

You can also track it over time with heatmaps.

It's the hero we don't deserve to have.
This is one of the most useful metrics you could ever use.

Find the pages with the highest value and investigate those queries with 0 clicks.

Is it because they are not relevant?

Do you need subpages?

This is one way to use it.
Read 15 tweets

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