How to Measure the Health of Your Website (Without Getting Too Techy in GA4)
23 February 2026
A Digital Dispatch by Sian Jamieson, Partnership Lead
Making sense of GA4 without quietly quitting it.
For many of us, logging into Google Analytics 4 feels like opening a cupboard we’ve been meaning to tidy for months. We click around. We add a few metrics. We glance at the headline numbers before a board report. And then we close the tab.
Because GA4 doesn’t exactly make things easy.
Over the years, Google Analytics has changed dramatically. I remember when websites were simpler, a handful of pages, maybe a shopping cart for donations or ticket sales, and analytics felt almost… human. You could see where people were coming from, roughly what they were interested in, and how they moved through the site. It gave context. It made a website feel alive.
Today, websites are more complex. Privacy protections are stronger (rightly so). And while powerful, GA4 isn’t intuitive for smaller teams without dedicated analytics support.
The result? A lot of people have quietly quit Google Analytics.
They log in for stats just before a report goes to the board. They extract “active users” and “top pages” and move on. But what often gets missed is the bigger question:
Is our website actually healthy?
This blog kicks off a practical, step-by-step series to help you answer that question, without getting bogged down in the techy side of GA4.
Over the next few weeks, we’ll look at six key website health signals that GA4 is already showing you.
But first, we need to make sure your traffic is real.
Health Signal 1: Is Your Traffic Genuine?
Before you analyse engagement, conversions, or user journeys, you need to know one thing: Are you looking at real people?
There are a lot of bots out there. Some are harmless crawlers. Others inflate your numbers. Either way, if your data is distorted, your decisions will be too.
Here’s how to check.
Step 1: Look at Active Users by First User Source / Medium
Go to: Reports → Acquisition → User acquisition
In the primary dimension dropdown, choose: First user source / medium
This shows you where users originally came from the first time they visited your site.
Start with the graph at the top. Are there any unusual spikes in activity?
If yes, hover over the spike and look at where that traffic is coming from. Does it make sense? Was there a campaign running? Media coverage? A newsletter?
If not, investigate further.
Step 2: Scan for Unfamiliar Domains
In the table below the graph, look at the “source” column. Do you recognise the websites sending traffic to you?
If you see something unfamiliar, don’t click the link directly. Instead, search for it in Google and ask: “What is [domain name]?”
Often, Google will tell you if it’s a known spam or bot referral.
Step 3: Check Engagement Signals
If you suspect bot traffic, look at:
- Returning users (are there any?)
- Average engagement time (is it near zero?)
- Engagement rate (extremely low?)
If users spend 0–2 seconds on your site and never return, it’s likely not genuine traffic.
A spike in direct / (none) traffic can also raise flags. In GA4, direct / (none) simply means Google couldn’t identify where the visitor came from. Sometimes that’s because someone typed in your URL. More often, it’s due to untagged email links, private messaging apps, or missing tracking data. Occasionally, it can also indicate bot activity, especially if engagement is near zero.
The key is context. Always cross-check behaviour.
How to Exclude Unwanted Referral Traffic
Once you’ve identified a suspicious domain, you can prevent future referrals from appearing in your reports.
Go to: Admin → Data streams → Select your web stream
Under Google tag, click: Configure tag settings → Show more → List unwanted referrals
Here, you can add a rule such as: “Referral domain contains [example.com]”
This won’t remove historical data, but it will stop future traffic from that source being counted as a referral.
Cleaning your data doesn’t sound glamorous. But it’s essential. Because if your top-line numbers are inflated by bots or misattributed traffic, your board reports, and your strategic decisions, are based on noise.
Why This Matters
If you’re trying to measure the health of your website, you need accurate signals.
Imagine presenting to your manager or board:
- “Traffic is up 30%!”
- But most of that increase came from a bot spike.
That’s not growth. That’s distortion.
Equally, if direct traffic is high because your email campaigns aren’t properly tagged, you’re missing insight into what’s actually working.
Before we look at engagement, goals, journeys or mobile performance, we need confidence that the data reflects real human behaviour.
Once you’ve filtered out the noise, you’re in a much stronger position to assess what your website is really telling you.
Coming Up in This Series
Over the next few weeks, we’ll look at:
- Views vs Engagement vs Goals – Is your traffic actually stacking up?
- Acquisition vs Landing Pages – Are people arriving where you expect?
- Path Exploration – How are people actually moving around your site?
- Mobile vs Desktop Performance – Is mobile holding you back?
- When the Signals Suggest It’s Time for Change – Using data to build an evidence-based case for improvement or redesign.
- Is there a better choice for UK Charities than Google Analytics 4 – Recent changes in law have made a substantial difference to data collection.
You don’t need to live inside GA4 every day to understand whether your website is healthy. You just need to know which signals matter and how to read them.
Next week, we’ll look at what happens after people arrive: are they actually engaging with what you’ve built?
PS – A little health warning: If GA4 is tracking your website visitors before they’ve granted permission, you’re on the wrong side of the ICO.
PPS – We’re here to help. For SEO and Digital Comms support, pop me, Sian Jamieson an email. And for all of your Digital Privacy needs, please get in touch with our Data Privacy Specialist, Mads Mitchell.
