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.
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Growth Is Not All: Stability Is
Published about 18 hours agoΒ β’Β 6 min read
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Use Data Or Be Used By Data!
The September 15 issue of Seotistics is here for you!
Growth is one of the main focus for many SEOs/Marketers and you may think this is a great thing.
But is it?
I am here today to show you why consistency is preferable in some cases.
Some counter-arguments will be covered in my future issues...
of course growth is also important and you don't grow a business with retention and/or pure stagnation.
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.
Plateauing traffic is also another reality of SEO (and Marketing), not everything can always grow!
N.B. Don't take this section as the absolute truth. It's just an exemplification.
The LLM Panic
You may have recently noticed that everyone talks about the "great decoupling" and impressions spiking.
In reality, this pattern is not common across all websites... and I also think like many others do that it was tools scraping Google.
Before you jump to conclusions, remember to actually check reality.
Recently, Google disabled the β&num=100β parameter, the one that was used by SERP tools to retrieve 100 search results, as covered by my friend Katarina.
The foundations of Marketing didn't change suddenly! More on this in my next issue π
The Role Of Data In Growth
One of my biggest pet peeves is reading most of the Growth Marketing articles.
Data skills are stated to be among the skills of many growth professionals but I tend to disagree.
Just because data is available to anyone, it doesn't mean you have to use it by yourself.
While A/B testing and aggregating data is fairly easy, the Mathematics behind some choices isn't that straightforward.
The most common mistakes I've seen involve other factors though:
Data Cleaning
Interpreting Results
Validity of Assumptions/Biases
You should already know why picking the right data is crucial.
Assumptions/Biases
This is a problem for any professional as our brain is affected by several biases.
We humans tend to assume a lot of things but the reality tells the opposite.
One of the most common mistakes is thinking that traffic growth is always positive.
Traffic may be affected by seasonality or sudden demand shifts and it may not lead to more money.
Learning basic testing and exploring algorithms helps a lot in dealing with biases and assumptions.
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.
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