
You publish content, your traffic is growing, your metrics look fine. But do you really know who reads your articles? On which device? From which region? And, most importantly, do these visitors come back? GA4 contains all these answers. You just need to know where to look. This guide gives you a clear method to build a complete portrait of your audience and turn it into an editorial and commercial lever.
- Who are your visitors really?
- How do they behave on your site?
- Where do they come from — and does it change everything?
- Concrete case: using GA4 to optimise your Web Push subscriber collection
- The GA4 reports to consult regularly as a publisher
- In summary: knowing your audience better means serving it better — and monetising it better
Who are your visitors really?
The first dimension of audience knowledge is the socio-demographic and geographic profile of your readers. GA4 centralises this data in the “Reports → User” section.
Demographics: age, gender and interests
GA4 provides estimated demographic data based on Google signals — browsing history, login data — for users who have consented to data sharing. You’ll find breakdowns by age group, gender and interests (technology, sport, travel, food…).
For a publisher, this data is valuable on two levels. First editorially: if your audience is predominantly female, aged 35 to 49, with a marked interest in health and wellness, your next topics will naturally revolve around these themes. Then commercially: these profiles are exactly what your advertisers want to know before investing on your inventory.
⚠️ Note: GA4 demographic data does not cover 100% of your audience — only users logged into a Google account who have accepted personalisation. Use it as a trend indicator, not as absolute truth.
Geography: where your readers come from
The Geography report (Reports → User → Demographics → Country / Region / City) allows you to identify the geographic concentration of your audience. For a local or regional media outlet, this is a strong commercial argument with local advertisers. For a national media outlet, it is an indicator of how deeply you are penetrating beyond major cities.
🔍 Concrete example: a regional news site notices that 40% of its traffic comes from a city it only covers marginally. This is a clear editorial signal: creating a dedicated section could both retain this audience and open up local advertising opportunities.
Technology: devices, browsers and OS
The Technology report (Reports → User → Technology) tells you on which device your audience reads your content. If 70% of your sessions happen on mobile but your long-form articles are not optimised for mobile reading, you have a UX problem that directly impacts your engagement rate — and therefore your monetisation. The browser breakdown is also useful: it guides your technical choices regarding compatibility, particularly for features like push notifications.
How do they behave on your site?
Knowing the profile of your visitors is good. Understanding what they do once on your site is better. GA4 offers several behavioural reports that are directly actionable for a publisher.
The content that truly engages
The “Pages and screens” report (Reports → Engagement → Pages and screens) is the ultimate editorial dashboard. It gives you, for each URL on your site: the number of views, the average engagement time (far more reliable than UA’s session time), the engagement rate and any conversions.
This report often reveals surprises: articles published two years ago that continue to generate significant traffic (your “evergreens”), recent content that drops off in under 30 seconds, and technical pages (T&Cs, legal notices) that concentrate unexpected engagement time — a sign that your visitors are looking for specific information you are not making clear enough.
Scroll depth and real engagement
GA4 automatically collects the “scroll” event when a user reaches 90% of a page. This is a powerful indicator of complete reading. An article that generates many views but a low 90% scroll rate likely has a hook or structure problem — its headline promises something the content does not deliver.
💡 Adrena’tips: to refine the analysis, configure scroll events at 25%, 50% and 75% via Google Tag Manager. You get a reading curve article by article and can precisely identify at which paragraph you are losing your readers.
Navigation flows: where do they go next?
The “Explore → Path exploration” report allows you to visualise the navigation paths of your readers: which page they visit first, which page they consult next, and where they leave the site. For a publisher, this is the ideal tool for understanding how your articles feed into one another, and for identifying content that “retains” visitors versus content that acts as a dead end.
Where do they come from — and does it change everything?
Not all traffic sources are equal. A visitor from a Google search does not behave the same way — nor have the same value — as a visitor from a social network or a push notification. GA4 allows you to compare these profiles side by side.
In the “Traffic acquisition” report (Reports → Acquisition → Traffic acquisition), segment your sessions by source/medium and compare the engagement metrics: engagement rate, pages per session, average time and conversions.
Here is what publishers generally observe:
| Traffic source | Typical profile | Engagement rate | Loyalty | Advertising value |
|---|---|---|---|---|
| Organic search | Intent-driven visitor | Medium | Low | Good |
| Google Discover | Passive discovery | Variable | Low | Good |
| Social media | Impulsive visitor | Low | Very low | Medium |
| Direct / subscribers | Loyal reader | High | High | High |
| Web Push | Active opt-in subscriber | High | High | High |
This table illustrates a key insight: traffic quality is inversely proportional to its apparent volume. Social traffic can represent impressive visitor spikes, with near-zero engagement and loyalty. By contrast, your direct subscribers and push subscribers generate fewer visits, but a far higher value per visit.
Concrete case: using GA4 to optimise your Web Push subscriber collection
Collecting Web Push subscribers is directly linked to your audience knowledge in GA4. Here is how to combine these two tools to maximise your opt-in rate.
Identifying the pages where opt-in performs best
Not all your pages convert equally into push subscribers. With our Notifadz tool, you can configure the consent window trigger page by page or according to behavioural rules. By cross-referencing opt-in rate data by URL (available in your Adrenalead dashboard) with GA4 engagement data, you quickly identify the ideal page profile for subscriber collection.
🔍 Concrete example: a lifestyle publisher notices that their “complete guide” articles (>1,500 words) generate an opt-in rate of 18%, versus 9% on short articles. In GA4, they verify that these pages do indeed show an average engagement time above 2 minutes and a high 75% scroll rate. Conclusion: their most engaged readers are also the most likely to subscribe. They concentrate the opt-in window display on this content format.
Adapting the timing of the consent window
GA4 tells you at which point in the journey your visitors are most engaged. If your data shows that the average engagement time on your articles is 1 minute 45 seconds, it is counterproductive to display the opt-in window after 5 seconds — the visitor has not yet had time to perceive the value of your content. Shift the trigger to 45 or 60 seconds and measure the impact on your acceptance rate.
Targeting the most loyalty-prone segments
In GA4, create a custom segment grouping your visitors with 2 or more sessions in the past 30 days. These are your readers most likely to subscribe and remain active in your push base. Analyse their demographic profile, their preferred content and their acquisition source — you have the portrait of your ideal push subscriber, which you can use to guide your traffic acquisition efforts.
💡 Adrena’tips: the Adrenalead publisher dashboard gives you the overall opt-in rate and by period. Cross this data with your GA4 traffic peaks to identify whether certain acquisition campaign types bring an audience more inclined to subscribe.
The GA4 reports to consult regularly as a publisher
There is no need to spend hours in GA4 every day. Here is a structured monitoring routine by frequency, with the questions each report answers.
| Frequency | GA4 Report | What you are looking for | Possible action |
|---|---|---|---|
| Every week | Pages and screens | Which content engaged the most this week | Replicate the winning format |
| Every week | Traffic acquisition | Source evolution — unexpected spike or drop | Investigate the cause |
| Every month | Demographics | Evolution of audience profile vs previous month | Adjust the editorial line |
| Every month | Retention | Share of new vs returning visitors — trend | Strengthen return levers |
| Every quarter | Funnel exploration | Complete journeys — where the audience drops off | Optimise site structure |
| Every quarter | Technology | Desktop/mobile/tablet split and browsers | Check mobile UX |
💡 Adrena’tips: create a custom dashboard in GA4 (Reports → Library → Create report) grouping your 5 key metrics: sessions, engagement rate, 90% scroll, new vs returning and conversions. You have your weekly view in 30 seconds.
In summary: knowing your audience better means serving it better — and monetising it better
Audience knowledge is not an end in itself. It is a lever with two dimensions: editorial first, allowing you to produce the content your audience is genuinely waiting for; commercial second, giving you the arguments to value your inventory with advertisers and maximise your push opt-in rate.
GA4 contains everything you need. The difference between a publisher who is at the mercy of their traffic and one who steers it often comes down to a few well-configured, regularly consulted reports.
Start with the simplest: open the “Pages and screens” report this week, identify your three pieces of content with the best engagement time and ask yourself why. The answer to that question is often worth more than a month of editorial production.



