The (Lost) Foundations Of Analytics


Use Data Or Be Used By Data!

The July 28 issue of Seotistics is here for you!

In a world where people obsess over the Google Stack and AI, I am here to show the truth.

Traditional skills are the foundations for everything.

Learn these and you will have the edge over many others who like shiny tools.

I may cover more details in my next issue too, I am super tired by all the content I am producing lol

P.S. The Seotistics Summer Sales end tomorrow at 23.59 (CET). Hurry up because there won't be sales for a while πŸ‘€

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.

​Read this in your browser​

πŸ“£πŸ“£ Important Announcements πŸ“£πŸ“£

The Seotistics Summer Sales are live with 30% off on all the products (check them here) with the code: SUMMER25. Offer valid until July 29, 23:59 CET.

P.S. Some of you got an even bigger discount πŸ‘€

I released an update for Analytics for SEO (course) and still have to update the other 2 products.

I am updating my Discord community to make it a reference for my readers.

Since social media have lower reach and emails can bounce, communities are the only way to ensure you get my message.

We do have a baby forum too now and I will try to organize my thoughts there.

Terminal

Yes, using that thing on your computer that hackers in movies show all the time.

Your terminal is perfect for learning how to interact with your computers and handle basic operations.

If you have basic knowledge of it, you can do a LOT of operations without ever using programming languages like Python.

Even if you are learning Python, you need some Terminal knowledge to play with CLI apps and install libraries.

This is the #1 skill you can work on and it's quite simple to learn the basics.

macOS/Linux users have it easy compared to Windows users.

And even better, you can use Claude Code and Gemini CLI in your terminal.

This is the biggest pro right now and a great incentive to get started.

Plus, it makes you look cooler in front of non-technical people!

If you want an example of what you can build in terms of CLI apps, go check my SERP Clustering repository.

Coding

You know, I always talk about coding and why it makes a big difference.

I am not a big fan of treating code as the panacea to all of your problems.

This doesn't mean it shouldn't be learned.

Actually, the opposite.

Python/SQL and Javascript give you complete freedom over many tools and unlock endless possibilities.

Instead of asking an engineer, I can build a small app on my own and extract the data I want.

This is a very easy way to differentiate yourself from others (but not enough if you only know coding).

LLMs made it remarkably easier to produce code for Analytics.

I am not an expert Javascript user at all but now I can create something useful thanks to Claude.

Talk about progress.

Git is also a must, at least the basics. Understanding how to commit code into a repository is crucial.

SQL is the first language to master if you are serious about Analytics and data as a whole.

It's immortal and used for databases, do you need more reasons?

99% of my job involves SQL and you can't sleep on it.

Python was popularized in Marketing and SEO but it doesn't even come close in terms of usefulness.

Quick scripts are nice to have but compare it to literally pulling data from any database.

SQL is the English of data, if you may.

Databases

If we mention SQL, it's impossible not to mention databases.

Having an idea of why BigQuery is structured that way massively helps when writing queries and also for optimization.

You don't want to be good with spreadsheets and then have 0 clues when talking to engineers.

BigQuery isn't exactly the best place to start actually but what 99% of you reading this newsletter need, so go for it.

Beyond Code

On a surface level, coding is associated to creating cool scripts and apps to automate boring things.

It's deeper than that, Computer Science is about framing and decomposing problems so that even a stupid machine could get them.

This is uncannily familiar to Analytics!

The ability to think about problems is extremely underrated and only a minority of people can do it.

Yes, you see most people rushing things out and immediately jumping to a solution.

This is what happens when agencies propose you to do X or Y before auditing your exact situation.

When I say that most problems don't need data, this is exactly what I mean.

With proper framing you can easily get away with no data.

This is what I teach in my course "Think Like a Web Analyst", 30% off until tomorrow with code "SUMMER25".

LLMs (once again yes)

It's no secret that LLMs today get you an unfair advantage coding-wise if you know how to use them properly.

The main issue I see is that people force use cases where you barely need AI.

As of now, I only use Claude and Cursor for coding and managing projects.

The MCPs that I've discussed many and many times are useful for unstructured tasks.

For example, say I have to update my Obsidian notes with links, I'd use the MCP all day.

But what if I need to check GA4?

The newly released MCP would NOT give me 100% accurate data or improve my job.

That's where code would get me exactly what I need, no need to use an MCP lol

But check out the new use case I am working on:

Now I can use the Obsidian MCP via Claude to help me with linking.

Something simple and stupid like this can add value and increase your efficiency (eventually, also your effectiveness).

As long as you are aware the 2 concepts are different, you are good to go.

LLMs help with efficiency, so how you achieve your goals. Whether you achieve them or not, depends on how effective you are.

The Reality Beyond The Hype

We are bombarded by hot takes and AI promises but reality is that most jobs will stay boring (which is good).

Before you venture into impossible topics, be sure you know what companies actually ask for.

My experience with some service providers is abismal because there is a lack of foundations in the digital space.

Most of my work is:

  • document stuff
  • argue with stakeholders
  • check databases (SQL)
  • prepare prototypes (Excalidraw, Miro)
  • play 4D chess

And this is awesome!

Analytics per se isn't just about the data but a variety of things.

This doesn't mean you can become someone in the data world without the basics.

I read on LinkedIn people bragging about leading huge teams and not having the technical skills.

Folks, this is a nightmare and why many quit.

The best way to understand a topic (and be respected) is to get your hands dirty.

There are key differences across roles too:

An Analyst doesn't need to go as deep on some topics as an Engineer.

In general, people with a background in Marketing excel as future Analysts.

πŸ‘₯ Join Our Community

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

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

I will start posting more there as we have a forum channel now.

This is the best way to stay updated in real time on Seotistics:

πŸ”Ž Analytics For SEO Ebook - Course / Ebook

Both products 30% off with code SUMMER25. Valid until tomorrow night.

This is the ultimate resource on GA4 and GSC.

You will:

βœ… Use GSC and GA4 Data to their fullest potential

βœ… Learn Python/SQL for your needs

βœ… Get a complete blueprint for auditing websites

βœ… Learn how to 10x your productivity

βœ… Learn BigQuery to work on large websites

I teach you what's needed to go from 0 to a professional Data Analyst.

Even if you leave SEO, the foundations are the same for other jobs!

Also in ebook:

πŸ“š Recommended Reads - Peak Content πŸ—»

The usual peak advice to learn what I described here, more or less:

As usual, my most recent LinkedIn content is here.

❗️ Feedback and Recommendations

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

Marco Giordano
​
Data/Web Analyst

Follow me on πŸ”½πŸ”½πŸ”½:

Bernerstrasse SΓΌd 169, Zurich, Switzerland
​Unsubscribe Β· Preferences​

Seotistics - Web Analytics + Business + Strategy

The Seotistics newsletter is written by Marco Giordano, a Data/Web Analyst with the goal of combining business and web data. Tired of the usual boring Analytics content without any business impact? Seotistics teaches you how to use Analytics, web data and even content in your workflow while helping you with Strategy.

Read more from Seotistics - Web Analytics + Business + Strategy

Use Data Or Be Used By Data! The July 21 issue of Seotistics is here for you! Google Analytics 4 is hated by many. You see a lot of posts on LinkedIn of marketers complaining about it... True, the product is bad but with over (allegedly) 85% market share, what's the alternative? So instead of complaining about it, I show you how you can exploit it. People these days are GA4phobic, they are scared and angry at GA4... it doesn't have to be this way! P.S. New article about small vs big websites...

Use Data Or Be Used By Data! The July 15 issue of Seotistics is here for you! Metrics and KPIs are in everyone's mouth but many barely know how to make the most out of them. That's because the word KPI has been degraded. It doesn't help that most content online only covers the basics (e.g. traffic, revenue, that's it). 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. Read this in...

30% off on all of my products until July 29 (CET), be quick! Use the code "SUMMER25" at checkout. Analytics for SEO - Course (1-to-1 on demand, full support and exclusive content + free updates) P.S. The course was updated recently and will receive more content this week. Learn Analytics For SEO Now! If you are tired of being puzzled by Web data, I can help you: βœ… Python notebooks and SQL code to learn the hard skills βœ… SEO Processes and Examples to convince stakeholders and become actionable...