🀯 Learn Analytics For SEO In 6 Steps [Roadmap 2024]


Use Data Or Be Used By Data!

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The November 20 issue of Seotistics is here for you!

Today's issue is the 30th and I want to inaugurate this newsletter with cooler features.

I will show you the roadmap to learning Analytics today, based on my struggles and personal experience.

If you need some input to start today or hire someone, this is the moment!

P.S. My Analytics for SEO ebook is 35% off until Sunday, this is your chance to learn today.

Please move this email to your Primary inbox or reply to it. This is to prevent Seotistics goes into spam by accident. Gmail users can read this tutorial to do it.

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πŸ›£ The Roadmap

If you have a technical background, then your focus should be on coding because it's the easiest to learn now.

For those who are already skilled, strategy and higher Math can provide you with better answers.

In terms of programming languages, Python and SQL will be perfect.

I also use R because that's how I started my journey and it's ideal if you want to do more business and/or Statistics.

Anyway, with ChatGPT you can pretty much translate whatever you want for free.

N.B. SQL usually comes above all but in SEO we want to learn scripting first. Why?

Well, scraping and basic automation can be used in any SEO project!

Estimated time: 6-8 months to become proficient and self-sufficient in many tasks. Mastery is infinite and some concepts can require up to 2-3 years.

πŸ€” Why So?

The reason is simple, many SEO tasks require you to work with data or be analytical.

This is NOT something for Tech SEOs or in-house alone, as many incorrectly think.

It's useful knowledge for anyone, especially for those who own large websites or agencies.

You will understand better in the example below:

video preview​

Analytics is not your first priority in SEO compared to the 3 pillars, it's something you apply on top.

That's why it's so powerful, you apply it on solid foundations to multiply your results.

βš” Struggles with Coding

Look, I've been there, my background wasn't that technical at the beginning.

There isn't universal advice for coding but I do recommend you start with simple solutions in Pandas.

Most of your work will be replacing paid tools, doing analyses and reporting data, not developing full-fledged software.

Some of you may go the other way and prefer development over analytical thinking.

They are completely different situations that require different levels of coding proficiency.

Don't approach code as a spoken language, consider it as a form of giving instructions and logic.

Many stop after 1 month because they can't do it, wait 6 months, buy another course, fail again, and so on.

This learning obsession is harmful and will leave you 0. Practice as you learn and stay committed.

πŸ“Š Math/Statistics and Why They Matter

The reason why I depress you with this stuff is that we don't want to settle for mediocrity.

You can code and produce value even without mathematical knowledge... if you only do development or scripting.

This isn't the case for us. Many basic SEO use cases can be solved with AI so you don't have to stop at automation and call it a day.

It will save you from deadly mistakes and improve what you read and understand, which is essentially a big part of Analytics and SEO.

A super advanced level isn't what you need, knowing the basics is usually enough to cover the majority of SEO scenarios.

Recall that you need to learn what you need to help you with SEO, not vice versa.

πŸ“š Resources

Since anyone keeps asking me about resources, this is what I consider to be the best in terms of usefulness.

Decision Theory + The Basics:

Before you even start, have a look at these resources. They are what I call foundational, so read them asap!

You don't always need data for decisions as you will notice... this type of logic should be nurtured right away.

The last resource I linked is the best so far for understanding what Analytics actually is.

Pro tip: 99% of the resources about Web Analytics make 0 sense for SEO, so just go straight for Data Analytics as a whole.

Coding:

Most of what's here is practical and will keep you busy for some months. This is what adds value quickly and gets you going.

You don't need to use them all but be sure to be proficient with either Python or R and know decent SQL.

P.S. Datacamp looks great on the surface but it's kind of generic. I recommend Dataquest instead.

Mathematics/Statistics:

In reality, you won't even need that much Statistics, it's just a safe measure. Trust me, you will not regret it when the time comes...

"Python for SEO" is kinda pointless if you don't know how to use data!

All-rounder:

If you want to save yourself a lot of time, you can buy my ebook or read what I will post on my website.

I am condensing my knowledge to avoid other people spending years looking for good resources.

πŸ’€ Why Having An Easy Life Matters (Use Cases)

SEO is stressful and boring, there is no need to play around with it.

That's why dabbling with a little bit of code and data can help you and make your life easier.

Better decisions and less work are the ultimate goals of every efficient professional.

Here are some examples to convince you:

πŸ‘Ύ Automating Google Search Console/Analytics 4 Extraction

The best use case so far, doing what you want with your data. Really, this is one of the main and most important things you can do ever.

Once you figure out how APIs work, the rest follows.

And if you are at step 5, use BigQuery to store and retrieve your data. Brilliant.

I use it all the time to create custom workflows (like my Content Auditing Process or Content Decay Detector) and I test new things all the time.

Recently, I have been exploring BigQuery to easily handle large websites that don't have much time for more complex systems.

πŸ— Building Your Own Tools

Why pay for a myriad of tools when you can just create your own?

You are even luckier because AI makes it super easy to develop small tools that save you a lot of time.

Want your personal scraper? You can do it!

Clustering keywords? Harder but you can (as Lee Foot shows)!

Visualizing data how you want? It's possible.

This is part of Steps 4 and 6, as you will see next week...

More to follow in the next Seostistics issue!

πŸ‘₯ Join Our Community

Our Discord community offers a small place where we can talk business and SEO.

If you hate all the noise of social media, then this place is for you.

❗️ Analytics For SEO Ebook (v6) - 35% Off (Black Friday)

This ebook is aimed at SEOs or Business Owners who want to explore the combination of SEO and Analytics.

If you want to start building your data empire, this is the (initial) path to take.

It will teach you or your employees to:

πŸ‘‰ Avoid common pitfalls that cost you money πŸ’Έ

πŸ‘‰ Create meaningful analyses that add value πŸ’―

πŸ‘‰ Shorten the learning time of Analytics ⏳

This comes with monthly updates because I want to create the Ultimate Guide out there.

v6 includes the following information:

βœ… Strategy in terms of SEO & Data

βœ… Decision Making

βœ… Integrating Data with SEO

v7 will include additional info on DataViz and topics on request.

πŸ“ž One-Hour Call

If you have doubts about SEO or Analytics, you can book a call with me.

Have doubts about your content website or with your data?

Look no further, I can help you:

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❗️ Feedback and Recommendations

If you have ideas/recommendations for the next issues of Seotistics, you can simply reply to this email.

Marco Giordano
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SEO Specialist & Data Analyst

Follow me on πŸ”½πŸ”½πŸ”½:

Bernerstrasse SΓΌd 169, Zurich, Switzerland
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Seotistics - Analytics & SEO

The Seotistics newsletter is written by Marco Giordano, an SEO Specialist focused on content and Data Analyst. Tired of the usual SEO content? Seotistics teaches you how to use Analytics and data in your workflow while helping you with Content Management & Strategy.

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