Measuring and analysing content performance through web design
Most websites measure traffic. Almost none of them measure whether anyone actually read the post.
This is where a lot of content marketing goes wrong. A blog post gets 800 page views in a month, the numbers go up and everyone is happy. But nobody talks about the fact that most people left after a few seconds. Lots of people opened the page. Very few actually read it.
Traffic and content performance are not the same thing. Mixing them up is how businesses keep making the same content for years without real results. Traffic only tells you that people arrived on the page. Content metrics tell you what happened after that, if people read it, scrolled down, clicked something, or came back later. Let’s look at what to measure, what your website needs to track it properly and what to do when the numbers show that people are not really reading the content.
Why traffic numbers are not the same as content performance
A high traffic number feels good. It looks good in reports. But on its own, it does not tell you if the content is actually working. Take two posts. Post A gets 2,000 page views a month, but people leave after 14 seconds and nobody signs up or gets in touch. Post B gets 200 page views, people stay for four minutes and 12 people join the newsletter. Which post is doing better? Most people celebrate Post A because the traffic looks bigger. But Post B is the one worth learning from. A lot of businesses spend years making more content like Post A because the traffic graph looks healthy. Nobody stops to ask why those visitors never come back, never buy anything and barely remember the brand afterwards. The post brought them in from search, but gave them no reason to stay. The traffic went up, but the content did not really work.
The four content metrics worth tracking
A few simple numbers can tell you if your content is actually working. Most of them are already in Google Analytics 4, and the rest are easy to set up.
Average engagement time
The most useful content metric is engagement time. In GA4, this shows how long the page was actually active on someone’s screen, not just left open in a tab. If a 1,500 word article only gets 20 seconds of engagement, people are probably not reading it. If they stay for four minutes, they probably are. A rough rule we use is engagement time should be at least a third of the expected read time. If a 5 minute article gets around 90 seconds, it is just about okay. If it drops to 20 seconds, it is not doing well.
Scroll depth
Engagement time tells you how long people stayed. Scroll depth tells you how far they got. The two together give you the clearest picture you can get of whether the page is being read or skipped.
In GA4 you can turn on scroll tracking in Enhanced measurement. It will track when people reach 90% of the page. If you want more detail like 25%, 50% and 75%, you can set that up in Google Tag Manager. It usually takes about ten minutes if someone has done it before. What matters is where people stop reading. If most leave before halfway, the intro is too long, the structure is off, or the article does not match the headline. Most of the time, the problem is in the first 300 words.
Conversion events
Every piece of content has a job. Sometimes it is to get people to subscribe. Sometimes it is to send them to a service page. Sometimes it is to get them to share it. Whatever the job is, you need to track it, or you will not know what is working. In GA4 these are called key events – things like newsletter signups, contact form submissions, clicks to service pages, downloads, or video plays. Each one needs to be set up on the page itself, which is where web design comes in. If your site cannot support this kind of tracking, you are only seeing half the picture.
Returning visitors and pages per session
These two go together. Returning visitors is how many people come back to your site. Pages per session is how many pages someone looks at before they leave.
If people come back, it means your content was good enough to remember. If they read more than one page, it means your links and related posts are doing their job. Both numbers should slowly go up over time. If they stay the same for a year, your site is acting like a set of dead ends. People arrive, read one page, leave, and you start from zero again every month.
Why your website needs to be built for analytics
None of the metrics above work properly if the website is not built for them. This is the part most agencies skip, and most clients only notice when the data turns out to be useless.
A site set up for proper content measurement needs three things working together. Analytics must be set up properly, with Google Analytics 4 and enhanced measurement turned on, no duplicate tags and no broken tracking on key pages. We have seen many sites where the homepage tracks fine but the blog does not.
You also need custom events. If a contact form does not send a tracked event when someone submits it, you cannot measure conversions properly, no matter how much traffic you get.
And the page structure needs to be simple enough for scroll data to make sense. A long homepage that mixes blog posts, products, testimonials and a signup form will give you scroll numbers that look useful but do not really tell you anything.
Good web design and web development set all of this up when the site is being built. Adding it afterwards is harder, costs more and often leaves gaps you only notice months later.
How to use content metrics to improve your blog
Setting it up is the easy part. What most businesses do next is check the dashboard once a month and change nothing. That is why their content results stay the same year after year.
Here is what we do, and what we tell clients to do:
- Sort your posts by engagement time, highest to lowest. The top three are doing something right. Look at them and ask what they have in common. It could be length, topic, headline style or internal links. Do more of that. The bottom three are usually off-topic, poorly structured, or pulling in the wrong audience. Fix them or remove them, depending on the issue.
- Then check scroll depth. Find posts where most people leave before halfway. The problem is usually in the first 300 words. It could be a long introduction, a headline that does not match the content or writing that loses people early. Cut it down, test again and check the data after a month.
- After that, look at conversions. Which posts bring in newsletter signups, leads or contact forms? Those are doing real work. Promote them. Link to them from the homepage. Update them regularly so they stay useful. One post that converts is worth more than ten that just get traffic.
Most people get stuck staring at dashboards, hoping the numbers will tell them what to do. They do not. The only question that matters is what you are changing next month.
Why your content metrics might be lying to you?
A few things can mess up your data and waste your time if you are not careful.
Bots and scraper traffic
Some posts will look like they are getting a lot of traffic from strange places such as sudden spikes, odd countries and no time spent on the page. That is bot traffic and it makes your data worse, not better. Filter it out using GA4’s Internal Traffic and Developer Traffic settings.
Your own traffic
If you and your team keep opening your own posts every day, it will mess up your data and make engagement time look higher than it really is. Set up an internal traffic filter.
Vanity metrics
Page views, social shares and follower counts can feel important, but they rarely tell the full story. Watch engagement, conversions and returning visitors instead.
Short-term thinking
Content takes time to grow. A blog post you publish in January might only do its best a few months later. Look at the data over six months, not week by week.
Why traffic is the wrong measure of content success?
Content performance is not the same as traffic. Traffic only counts visits. Content metrics show if the content is working or not. Most websites focus on traffic and ignore everything else, which is why a year of content can look good in charts but bring very few real results.
The fix is part analytics, part how the website is built. The site needs to track the right actions, pages need to be measured clearly and the data needs to be accurate enough to use.





