Part 4: What Happens After Someone Clicks (Google Analytics Explained)

In the previous part, I focused on how Google sees my blog.

Now I want to answer a different question: What actually happens after someone clicks?

Quick note: Google Analytics 4 (GA4) is the latest version of Google Analytics. It focuses on user behavior after someone lands on your site; what they do, how long they stay, and whether they come back. If Search Console shows how people find your blog, GA4 shows what they do after they arrive.


Before we start: context matters

This blog didnโ€™t grow in a typical โ€œSEO-optimizedโ€ way.

  • I didnโ€™t pick keywords
  • I didnโ€™t follow content calendars
  • I didnโ€™t optimize titles for traffic

I simply wrote, mostly to document what I was learning. To make sense of the data, I first looked at how often I actually published content.


Posting behavior over time

Creative writing process for idea development.
Figure 1. Post publishing frequency over time. A total of 47 posts have been published (1 in 2016, 1 in 2023, 2 in November 2025, 1 in December 2025, 3 in February 2026, 32 in March 2026, and 7 in April to date). The sharp increase after February 2026 reflects a transition to consistent content production.

There is a clear shift:

  • 2016โ€“2023 โ†’ almost no activity
  • late 2025 โ†’ restart
  • early 2026 โ†’ consistent publishing

This matters because: Traffic patterns only make sense when you understand content supply.


Content distribution

Writing my way through ideas for creative projects.
Figure 2. Distribution of content topics. The blog is dominated by research and time-series related posts, with a smaller portion dedicated to personal topics like roller skating journey.

Insight

This is not a niche blog.

Itโ€™s a mix of:

  • research notes
  • technical explanations
  • personal experiments

Which means:

The audience is not clearly defined yet.


First look at Google Analytics

Woman writing in a notebook with a pen, brainstorming ideas for creative writing.
Figure 3. Google Analytics overview.

From Google Analytics:

  • 86 total users
  • 85 new users
  • average engagement time โ‰ˆ 38 seconds
  • 586 total events

At this stage:

  • people are discovering the blog
  • but almost all of them are first-time visitors

This is expected. There is no distribution system yet.


New vs returning users

Woman writing in a notebook with a laptop and coffee on a desk.
Figure 4. Channel group graph by time
Writing my way through ideas.
Figure 5. Channel table

Almost all traffic consists of new users, with very limited returning visitors. The blog is being discovered, but not revisited yet.

Returning users are a signal of:

  • habit
  • value
  • trust

And Iโ€™m not there yet.


Where users come from

Woman writing in a notebook with ideas and notes on a desk.
Figure 6. Channel group graph by time
Figure 7. Channel table

Traffic is overwhelmingly direct, with a very small portion coming from organic search.

Interpretation

  • ~95% direct traffic
  • ~5% organic

This tells me, Google is starting to show my content, but itโ€™s not a traffic driver yet.

Also:

  • โ€œdirectโ€ likely includes me + close circle
  • organic is still in early testing phase

What people actually read

Writing my way through ideas.
Figure 8. Top pages.

Homepage dominates traffic, followed by early foundational blog posts.

Insight

Two important patterns:

  1. The homepage gets most attention
  2. Early posts still receive traffic

This suggests: Content does not decay immediately, it accumulates visibility over time.


Engagement depth

From the data:

  • avg engagement โ‰ˆ 38s
  • some pages: 1+ minute
  • some pages: a few seconds

What this means

There are two types of visitors:

  • scanners โ†’ leave quickly
  • readers โ†’ stay longer

The key realization

Search Console showed me:

โ€œAm I visible?โ€

Google Analytics answers:

โ€œAm I worth staying for?โ€


How Iโ€™ll actually use Google Analytics going forward

Unlike Search Console, GA4 is not about visibility; itโ€™s about behavior. So Iโ€™ll keep it simple and focused:

1. Weekly checks (10 min)

  • Users โ†’ Is anyone actually coming?
  • New vs returning โ†’ Are people coming back?
  • Top pages โ†’ What are people reading?

2. Monthly reflection

  • Which posts keep users longer?
  • Which posts get ignored?
  • Is engagement time improving?

3. What matters most right now

  • Engagement > traffic (Because 100 users who leave immediately are less valuable than 10 who actually read.)

4. What I will NOT overanalyze (yet)

  • Conversion funnels
  • Event tracking complexity
  • Micro-optimizations

At this stage, GA4 is not a performance tool. Itโ€™s a learning tool about your content.


Final takeaway

Right now:

  • visibility is growing slowly
  • clicks are starting
  • behavior is forming

Nothing is โ€œworkingโ€ yet in a traditional sense, but the system is starting to move.

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