Marco Giordano Profile picture
Mar 27 14 tweets 4 min read Twitter logo Read on Twitter
The 10 Most Common Errors in Content Audits.

Many can fall for cheap #SEO advice and get nothing.

I've audited small and large content websites to develop profitable processes.

This thread is for you 🧵
1. Only using one data source to delete articles.

If your website is using multiple channels, you should have other data than GSC.

Wait if one article has 0 clicks but high engagement on Facebook?

Guru advice says to delete it, I would never do that.
2. Using Google Analytics as your bible.

The average GA user looks at sessions or users that are hard to convert into actions.

I'd rather check Search Console first and get the unique query count.

Thinking in terms of queries is an additional step that will save you later.
3. Audit = Checklist.

Super wrong, even though there's no official consensus.

Audits should contain actionable advice and explain how to fix relevant problems.

It shouldn't list every pattern or recommend nonsense fixes.
4. Focusing on vanity metrics.

It's good to have traffic and ToFu content but you should never base your entire audit on fluff.

It's very unlikely you will make meaningful decisions based on the number of sessions.
5. Touching the URLs.

Look, in the majority of cases, content websites/publishers don't need to change URLs.

Not only they are minor ranking factors but you risk doing more harm than good.

Please, don't change them for ""UX"" if they are OK.
6. Using biased/partial data.

> Use GSC API to get more data
> Repeat the same for GA

Don't do manual exports from the interfaces!

You can also connect the APIs to @screamingfrog if you can't code.
7. Forgetting about the business.

Why should I care about a section if it brings unqualified traffic?

You should tie an audit to the needs of a website.

Today it may rank, tomorrow you can get penalized.

Don't dilute your website across many topics.
8. Listen to the average marketing advice.

It's not based on Statistics or Analytics or you name it.

Many blog posts dump data on GSheets and make hasty decisions.

Pruning and auditing can ruin/save a website.
9. Auditing every page.

Think in terms of groups and clusters instead.

Measure unique query count and clicks over time per group.

Never go granular with large websites, it doesn't make any sense.

Divide et impera, split the website into clusters.
10. Making random claims.

In most cases you can't prove why something happened.

You need to test and make hypotheses.

It doesn't matter why it happened as long as you fix it.

And after that, prevention is crucial.
If you don't want to read hundreds of threads, you can just buy this ebook.

It's the Bible of Content Audits and related methodologies.

I am going to release the 1st content update on the 2nd of April to add even more.

marcogiordano96.gumroad.com/l/analytics-fo…
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!🧵
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/marcogiordano

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More from @GiordMarco96

Mar 26
Evergreen content is one of my favorite #SEO topics.

It's super crucial for publishers and especially for niche websites.

And yet, there are many ideas you can use 🧵
Evergreen refers to content that is not time-sensitive and is not particularly subject to seasonality or timeframes.

Search demand is constant through the years. They usually tackle recurring problems or super generic topics.
This type of content makes it easy to apply some advanced principles, as you want them to last.

Having good authors, good syntax with proper entities, and clear internal linking is the bare minimum for me.

This is very simple once you know the niche very well.
Read 20 tweets
Mar 25
The 10 Underrated Mistakes For Content Websites And Publishers 🧵
1. Not internalizing.

Yeah outsourcing is cool but some things you should have.

This includes internal tools, hiring people and learning new skills.

Outsourcing is a double-edged sword and can destroy your profitability.
2. Not embedding SEO into the company culture.

An organization that doesn't embrace SEO as part of what they do will have a hard time.

That's because SEO will be considered as homework and not as needed.
Read 14 tweets
Mar 24
Many ask me where to start with coding/data or #Python for #SEO.

I've already covered this topic but...

understanding some concepts is still hard for many.

Let's see why and how 🧵
Excel/Google Sheets are completely fine for smaller projects.

Pivot tables and basic data cleaning operations do the work.

They are the best solutions for quick work and for fast formatting.
The problem is that what you do there can't be replicated easily.

Documented code solves that problem.

If you document everything and list everything, it will be much more useful.

Programming languages also help you to scale processes.
Read 22 tweets
Mar 19
What's the actual impact of tools on #SEO work?

Many claim that *some* tools are mandatory to execute a strategy.

I think this is often misleading.

Let's see how to differentiate between planning and execution 🧵
Cause-effect and correlation are different concepts that are often interchanged.

Testimonials and case studies can be tweaked to show a certain outcome.

You don't get rich because you used a keyword research tool.

This is one of the most common tricks used by sales teams.
Strategy involves planning and abstracting the steps, having an overview.

Tactics are the steps you take, what you do to execute a strategy.

Tools can be useful at both stages BUT...

You should never let a tool decide for you.

Strategy is what you normally don't delegate.
Read 16 tweets
Mar 17
#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 💸 and create tons of value 🧵
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.
Read 4 tweets
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

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