When it comes to measuring content performance of a website, you don’t need a dozen metrics. You just need the right ones.
These are the core GA4 metrics I rely on to assess how well a piece of content is performing.
GA4 still tracks views, and they work similarly to how pageviews did in Universal Analytics.
Every time a page loads — including reloads — it’s counted as a view. High view counts usually signal strong search rankings, good internal linking, or content that's being shared.
But views alone don’t tell you if people are actually reading your content. That’s where the next few metrics come in.
This is one of the biggest shifts in GA4. An “engaged session” happens when a visitor:
The engagement rate is simply the percentage of all sessions that were engaged.
So if you had 1,000 total sessions and 600 were engaged, your engagement rate is 60 percent.
GA4 also reintroduces bounce rate, but it’s now calculated as the inverse of engagement rate. A bounce in GA4 just means the user didn’t meet the criteria above.
I rarely focus on bounce rate anymore — engagement rate gives you a much better signal.
This replaces the old “average time on page” metric.
The difference is crucial. GA4 only counts active time when the user is actually looking at the page. If they switch tabs or go idle, the clock stops.
That makes average engagement time a much more honest look at how long people are truly reading your content.
If someone reads a 2,000-word blog post and you see 3 to 4 minutes of engagement time, that’s a strong indicator they stayed and consumed the piece.
GA4 automatically tracks a “scroll” event when someone reaches 90 percent of the page height. This is your proxy for content completion.
If a page has 2,000 views and 800 scroll events, that means 40 percent of readers reached near the bottom.
That’s a good sign they were engaged. If that number is low, you may need to revisit the intro, layout, or readability.
You can configure deeper scroll tracking (25 percent, 50 percent, etc.), but for most content, the 90 percent metric is enough to spot which pages hold attention.
GA4 now uses the term “Key Events” instead of “Conversions” for general-purpose goals. This keeps actual ad conversions separate from other events you want to track.
For content, your key events might include:
If you’re not tracking key events, you’re missing the most important tie between your content and business outcomes.
Retention isn’t a single number, but it’s still worth watching. GA4 shows how many users come back over time, including day 7 and day 30 cohorts.
Content sites with healthy retention typically see a solid base of returning visitors.
It means people are finding value and coming back for more. You can view retention under the “User” section in GA4’s standard reports.
Before you start analyzing content performance, you need to make sure GA4 is actually collecting the right data.
The good news is, most of the setup is quick and doesn’t require any code — especially if you’re using Enhanced Measurement.
Go to your GA4 property and navigate to:
Admin > Data Streams > [Your Web Stream]
Make sure your site is receiving data. If not, you may need to double-check the installation of your GA4 tag or configuration in Google Tag Manager.
Still within the Web Stream settings, scroll down to Enhanced Measurement and confirm it’s turned on.
Enhanced Measurement automatically tracks:
This saves you from needing to configure individual events manually for most standard interactions.
Scroll tracking is one of the most important default features for content teams. It fires a scroll event when a user reaches 90 percent of the page height.
Still in your Data Stream settings, look under the Enhanced Measurement toggles and confirm Scrolls is turned on. If it’s off, switch it on and save.
You’ll now start collecting scroll data automatically — no custom setup required.
To make sure everything’s working, open your site in a new browser tab and navigate to:
GA4 > Admin > DebugView
You should see real-time events including page_view and scroll. This is your proof that GA4 is capturing those interactions as expected.
If you don’t see scroll events, Enhanced Measurement might be blocked by your cookie banner, or your theme might be interfering with how scroll depth is detected.
This basic setup ensures GA4 starts tracking meaningful engagement without needing any extra tools.
Once Enhanced Measurement is in place and working, you can move into the actual reports to start analyzing your content.
Once your tracking is in place, the next step is knowing where to look in GA4.
The platform offers plenty of reports, but for content performance, only a few really matter. These are the reports I use most when evaluating how content is doing.
This is your go-to for page-level content performance. To find it:
Reports > Engagement > Pages and screens
By default, you’ll see page titles and screen classes with key metrics:
If you prefer URLs instead of page titles, change the primary dimension to Page path and screen class in the dropdown menu above the table.
What to look for:
This is the fastest way to see what’s working and what needs a closer look.
To evaluate how people enter your site via content, use the Landing Pages report:
Reports > Engagement > Landing page
This shows the first page users see in a session. It’s especially useful for identifying which blog posts or articles bring in organic or social traffic.
Key metrics include:
You might discover that an old blog post is still driving tons of first-time visits. Or you might find a landing page with low engagement that needs a refresh.
Want to confirm that your scroll tracking or other events are working?
Go to:
Reports > Engagement > Events
Here, you’ll see a list of all events GA4 is tracking. Look for scroll in the list. You can click into it and add “Page path” as a dimension to see which articles are actually getting scrolls.
This is also where you can review other automatic or custom events tied to your content.
For a quick snapshot of your site’s content engagement, check the Engagement Overview.
Reports > Engagement > Overview
This gives you:
It’s not meant for deep analysis, but it’s helpful for spotting trends at a glance.
If your site has a mix of content and non-content pages (like product or landing pages), you need to filter.
Let’s say your blog lives under /blog/
. In the Pages and Screens report, click Add filter, then set:
Page path contains /blog/
Now you’re only looking at blog content. This keeps the data clean and focused on what matters for your analysis.
You can save this filtered view as a custom report if you want quick access later.
These four reports — Pages and Screens, Landing Pages, Events, and Engagement Overview — will cover 90 percent of what you need for day-to-day content analysis.
Use filters and dimensions to zero in on specific areas and always combine traffic metrics with engagement signals to get the full picture.
Looking at individual pages one by one is fine when you're auditing a few URLs.
But if you’re working with dozens or hundreds of articles, you need a smarter way to analyze performance across entire categories.
That’s where content grouping comes in.
GA4 only supports one content grouping per property at a time, so it’s important to choose a grouping strategy that reflects how you want to slice your content.
Content groups let you track performance at a category level. Instead of seeing isolated numbers for 50 URLs, you can see totals and averages for buckets like:
This makes it easier to answer strategic questions like “Which content themes drive the most conversions?” or “Which article format keeps readers on the page longer?”
There’s no UI in GA4 to define groupings based on URL rules like there was in Universal Analytics. You have to pass a custom parameter with each pageview.
Here’s the fastest way to do that using Google Tag Manager (GTM):
Step 1: Create a Regex Table Variable
In GTM, create a new User-Defined Variable and choose Regex Table as the type. Use the page path as the input variable.
Map patterns to group names. Example:
/blog/seo/
→ SEO/blog/social/
→ Social Media/blog/content-strategy/
→ Content StrategyStep 2: Add the Variable to Your GA4 Configuration Tag
In the GA4 config tag, add a custom field:
content_group
Publish your container once everything is set.
Step 3: Verify Data in GA4
After publishing, give it some time for data to show up. Content group data is not retroactive.
Go to:
Reports > Engagement > Pages and screens
Then click the dropdown where it says “Page title and screen class” and choose Content group. You’ll now see a breakdown of engagement metrics by content category.
Once you have content groups flowing into GA4, you can:
For example, you might find that your SEO articles have the highest traffic but the lowest conversion rate. That insight could lead you to test stronger CTAs in those posts.
Or maybe your tutorials have lower pageviews but off-the-charts engagement. That’s content worth expanding and promoting more heavily.
If you want to track additional attributes like author or article type, you’ll need to pass separate custom dimensions.
But for broad, category-level insights, content grouping gives you a powerful lens into how your themes perform.
The standard GA4 reports are solid, but if you really want to dig into how your content is performing, you need to use Explorations. This is where GA4 gets powerful.
With Explorations, you can build custom reports to find patterns, test ideas, and isolate what’s helping or hurting your content strategy.
You don’t need to be a data analyst — just know what questions you want to answer.
Start with a Free-form exploration. Go to:
Explore > Blank > Free-form
Add the following dimensions and metrics:
Drag your dimensions into rows and metrics into values. Then sort the table by Exits or by Average engagement time.
What you’re looking for:
If you spot a blog post with 4,000 views but only 30 seconds of average engagement, you may have a content issue. Maybe the intro needs tightening, or maybe it’s ranking for the wrong intent.
To calculate exit rate, divide Exits by Views. This gives you a quick way to identify which content is where people stop their session.
If a single article has a 65 percent exit rate, it might be a natural endpoint. But if that page is early in your funnel or meant to lead to something else, it’s probably a missed opportunity.
Try adding stronger internal links or clearer next steps.
Next, try a Path exploration to see how people navigate your site after viewing certain content.
In GA4:
Explore > Path exploration
You can set the starting point as a specific blog page and see what users viewed next. Or reverse it — start with a goal page and trace what content brought users there.
This tells you things like:
This is especially helpful when evaluating how blog content feeds into conversion paths.
Explorations let you apply segments to compare user groups.
Some practical segments to create:
You can then compare engagement time, conversion rate, or exits across those segments.
For example, you might find that users who scrolled to the bottom of a post were twice as likely to convert. That’s clear evidence that keeping readers engaged pays off.
If you’ve set up content groups, you can add Content group as a row dimension. This allows you to compare:
This is how you move beyond guessing and actually start prioritizing based on real performance data.
Explorations take a little more time to build, but they give you the insight you can’t get from canned reports.
Think of them as your content performance lab — a place to test assumptions and find real opportunities for improvement.
Once you’re tracking the right content metrics in GA4, the next step is to make sure that information gets in front of the right people.
Whether you’re sharing results with a team, a client, or just reviewing your own progress, GA4 gives you a few ways to surface key insights quickly.
You can customize the Reports snapshot or Home snapshot in GA4 with summary cards that highlight your top content metrics. This makes it easy to get a quick view of how things are performing without having to dig into full reports.
Here’s what I recommend adding:
To customize these snapshots, click the pencil icon in the top right of the report page. Then drag and drop the cards you want, or create new ones using the available dimensions and metrics.
You can also create a set of focused reports just for content. This keeps all your key views in one place and avoids having to apply filters every time.
Here’s how:
You might call this collection “Content Performance” or “Blog Metrics” so it’s clear what it covers.
If you want to share content performance regularly, GA4 allows you to export any report to PDF or send it via email.
To do this:
You can automate weekly or monthly email reports for yourself or your team. This works well if your stakeholders don’t log into GA4 often but still want regular updates.
For content performance, I like to keep reports simple and focused. Here’s a useful setup:
If you use filters to isolate your blog section (like “Page path contains /blog/”), include that in the report settings so everyone sees the right data.
Whether you’re pulling data for internal meetings or client reporting, the goal is to make your insights actionable.
Show what’s working, flag what’s not, and highlight one or two takeaways that can lead to improvements. Keep the format simple and consistent so your team knows what to expect and where to look.
To make GA4 useful, you have to go beyond setup and reports. What really matters is how you use the data to make better content decisions.
These are real-world examples of how I’ve used GA4 to identify issues, improve performance, and guide content strategy.
I once had a blog post that barely made it into the top 30 most-viewed pages. But when I sorted the Pages and Screens report by average engagement time, that same post jumped into the top 3.
It was a long-form guide that kept readers on the page for over 4 minutes on average. That told me it had potential — it just wasn’t getting found.
I updated the internal links pointing to it, optimized the title tag, and added a few relevant keywords. Over the next two months, traffic doubled.
GA4 helped me spot hidden value that older analytics would have overlooked.
Another time, I found a few articles that were pulling in decent traffic from search, but had below-average engagement time and sky-high exits.
I used a free-form exploration to calculate exit rate (Exits divided by Views). One article had an exit rate above 70 percent and under 30 seconds of engagement time. The intro was vague, and the call to action was buried at the bottom.
I rewrote the opening paragraph to clearly explain what the post covered and moved a call-to-action link closer to the top. That small change reduced exits and boosted scrolls in just a couple of weeks.
Once I had content groups set up in GA4, I could compare entire sections of my blog at once. For one client, we grouped content into “SEO,” “Content Strategy,” and “Social Media.”
The SEO group had the highest traffic by far, but a low conversion rate. The Content Strategy group had half the traffic, but converted at nearly double the rate.
That told us to focus on improving CTAs in the SEO posts, and possibly create more high-intent content like the ones in Content Strategy.
This kind of insight only comes when you step back and look at groups — not just individual pages.
I had a tutorial article that showed weak scroll depth and a surprisingly short engagement time. Compared to similar posts, it stood out as underperforming.
When I reviewed the layout, the problem was obvious. The page started with a giant banner image that pushed the intro down the fold. Readers had to scroll just to see the first sentence.
I moved the banner lower on the page and rewrote the intro to hook readers faster. After making the change, scrolls and engagement both improved. GA4 helped pinpoint where user experience was falling short.
For an editorial site with multiple contributors, we set up a custom dimension to track authors. In GA4 Explorations, we were able to compare articles by writer.
One author had significantly higher engagement time across multiple posts. Another had strong traffic, but users dropped off quickly. We used this data in internal reviews to share writing tips, highlight successful pieces, and guide future assignments.
Author-level tracking gave the team a clearer picture of what styles and topics resonated most.
GA4 isn’t just a replacement for Universal Analytics. It’s a fundamentally different way to measure content performance — one that focuses on actual engagement, not just pageviews.
When you track metrics like average engagement time, scroll depth, and key events, you get a much clearer picture of how your content is performing.
And when you layer on tools like content grouping and custom explorations, you start uncovering patterns that can guide real improvements.
The setup is straightforward. The analysis is flexible. The insights are actionable.
If you’re serious about creating content that performs, learning how to use GA4 properly is no longer optional. It’s essential.
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