If you’re not already using it, Google Analytics is a free tool that allows you to track the performance of your website in great depth.
In fact, it’s essential if you really want to scale and grow your business through digital marketing.
You may have some analytics tools through your web host. However, there are none that will cover quite as much as Google Analytics does.
So, if you’re ready to start taking a more predictable data-driven approach to your marketing.
And you want to understand precisely what your website traffic does when it hits your site; you’ll need to start using Google Analytics effectively.
Here are six straightforward tips for understanding Google Analytics.
1. Setting Up Google Analytics
To access Google Analytics, you’ll need to sign up for a Google email address. Once you have created a Gmail account, you will need to register for Google Analytics.
To do this, you will need to create a Google Analytics account. Then, you’ll need to add the name and the URL of the website that you’re looking to track.
Once you’ve done this, you’ll need to add a tracking code onto the head tag of your site. This is essential if you want to track your site. This means that only someone with access to your site’s backend will be able to set this up and track your site’s data.
You’ll then need to verify that the tracking code is working from your Google Analytics portal. You can check that it is working by looking at the real-time data. You should be showing at least that you’ve had at least one visitor to your site- you.
2. Examine Your Engagement Rate
Getting people to your site is one thing, but getting them to stay there and enjoy what’s on offer is another. Understanding the current behaviours of your visitors will allow you the insight to make the necessary changes to your content to increase your engagement rate.
Engagement gives you data about how long users are staying on your site. If a person only visits one page and then leaves, then this will be displayed in the 0-10 seconds category.
If the majority of your content is a blog, then you may find that you’re likely to have a high percentage of people appearing within this 0-10 seconds group.
You can find your engagement rate by heading to Audience, then Behavior, then Engagement.
3. Looking at Your Bounce Rate
If a visitor comes to your website and leaves without visiting another page or is inactive on the page for more than 30 minutes, this is considered to be a bounce.
It is more important that you understand the bounce rate for first-time visitors compared to returning visitors.
To compare the differences head to Audience, then Behavior, then New Versus Returning.
You may find that your bounce rate is higher because your pages haven’t been optimised for conversions. Whenever you create a post, you create what is known as a ‘title tag.’ This is used by Google to work out what your post is all about.
If your title and post don’t seem to be connected, it may make visitors leave as soon as they arrive.
To find out the bounce rates for specific pages, go to Content, then Site Content, then All Pages.
If you find that you get traffic with a high bounce rate, think about reviewing your content to ensure that it is relevant to the title tag.
To improve your bounce rate, you should use clear calls to action at the end of every post or page, include internal links earlier in the post, and use related posts.
Tom actually created a video on this that goes into some more suggestions on reducing your bounce rate and increasing conversion – check it out below:
4. Create a Custom Report
A custom report allows you to view the data that is most important to you and your business all in one place. You may want to create a standard report that you like to run frequently.
Custom performance reports are easy to set up, and if you don’t want to set up your own, you can always use a pre-existing dashboard which you can add to your account.
To set this up, head to the report in Google Analytics that you want to send to yourself. Then go to the top right-hand corner and select the date range. Then, click Share.
Then you’ll be met with a popup that asks you to enter your email address, the frequency, subject line, and the file type.
Then, you’ll be sent a report via email at the frequency that you requested. In the meantime, you can still check on your reports whenever you like using Google Analytics in the usual way.
5. Measure Your Site’s Speed
Because speed is a ranking factor on Google searches, you should do everything that you can to ensure your website loads quickly. If your page doesn’t load quickly enough, you’ll lose visitors because they just won’t wait around
To find out how fast your site is head to Behavior, then Site Speed, and then Overview.
You won’t just get data about the speed of your site; you’ll get in-depth information about what might be slowing it down. You can then take this information and implement all of the necessary changes to your site.
6. Create a Goal
Perhaps one of the simplest ways to analyse your site’s information is to set up a Goal in Google Analytics. You can set up goals relating to duration, pages/visits, and events, and you can see the information that your default Google Analytics account won’t show you.
You could track:
- The most common page for visitors to land on
- How long visitors stay when they get to your site
- How many pages a visitor will view before they leave
Use these goals to match up with your own objectives for your website.
Creating goals is also a great way to effectively track the marketing returns from your social media channels. Here’s how to track your social media conversions in Google Analytics.
Need Help Understanding Google Analytics?
Understanding Google Analytics is essential if you want to be able to drive your website to the next level.
If you need support in marketing your website and business effectively, we’re here to help. Get in touch today to find what we can do for you.
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Book your FREE digital review today and we’ll record you a 10 minute video looking at your current strategy and suggest some ways you could monitor and significantly increase your marketing ROI!
Re-read for 2026: what stuck, what didn't
This guide originally walked through Google Analytics in the Universal Analytics era. UA got deprecated in July 2023 and replaced with GA4. Most teams ported their reports across without understanding that GA4 measures things differently. The result: dashboards that look familiar but produce confidently wrong insights.
Here's what's actually different in GA4 and how to use it well in 2026.
1. GA4 is event-based, not session-based
The biggest conceptual shift. UA tracked sessions and pageviews. GA4 tracks events. Every page view is an event. Every scroll is an event. Every video play is an event.
This matters because:
- You define what counts as a conversion event explicitly (UA had goals; GA4 has events you mark as conversions)
- You can measure mid-funnel actions much more granularly
- The data model is more flexible but less prescriptive. You have to decide what to measure
Most teams ported UA goals to GA4 events without rethinking what they should be measuring. This is the first thing to fix.
2. Bounce rate got redefined
UA bounce rate: percentage of single-page sessions. GA4 bounce rate: 1 minus engagement rate, where "engaged" means session lasted 10+ seconds, fired a conversion event, OR had 2+ pageviews.
This makes pre-2023 bounce rate benchmarks meaningless. A site that had 60% bounce rate in UA might show 30% bounce rate in GA4 with no actual change in user behaviour. See our guide to GA4 bounce rate.
3. Engagement rate is the new headline metric
Where UA had bounce rate and average session duration as primary engagement signals, GA4 surfaces engagement rate as the headline. Engagement rate = engaged sessions / total sessions.
What this means: "good" engagement rate is now 50-70% for most sites. This is roughly equivalent to a 30-50% UA bounce rate but the numbers feel completely different.
4. Attribution is now data-driven by default
UA defaulted to last-click attribution. GA4 defaults to data-driven attribution (DDA). Different model, different credit allocation, different conclusions about which channels are working.
The implication: when you compare GA4 channel data to UA channel data, the gap isn't a measurement error. It's a different model. Don't try to reconcile the two.
Honest take: GA4's DDA is better than last-click but still has the iOS 14 tracking gap problem. Use it for directional insight, validate with incrementality testing.
5. The reports are different (and incomplete)
GA4's reports are sparser than UA's by default. Most teams either:
- Build extensive custom reports in Looker Studio (better)
- Use the Explore tab for ad-hoc analysis (more flexible)
- Get frustrated and ignore most of the data (most common)
The investment that pays off: build 5-10 custom Looker Studio dashboards keyed to specific business questions. Don't try to replicate UA reports. Build dashboards for the questions you actually need answered.
6. Custom events and parameters are where the value is
The biggest leverage in GA4 isn't the default reports. It's the custom events you set up to track behaviours that matter for YOUR business.
Examples worth instrumenting:
- Add to cart events with product price and category
- Form starts and form completions (separately)
- Pricing page visits
- Video engagement (% watched)
- Specific button clicks (CTA, secondary navigation)
- Search queries on internal site search
Each custom event gives you more behavioural data to feed back into ad platforms (via custom audiences) and into your own analysis.
7. The BigQuery export is the killer feature
GA4 can export raw event data to BigQuery (free up to a daily limit). This was paid-tier-only in UA. Now any business can have full event-level data warehoused.
Why this matters:
- You can join GA4 data with CRM data, financial data, customer data
- You can run custom analysis that GA4's UI can't support
- You can build cohort analysis at the event level
- You can run more sophisticated attribution models on top of the raw data
The brands that figured out the BigQuery export have data analytical capabilities most enterprises spent six figures to build five years ago. For free.
8. The metrics actually worth tracking in 2026
Skip the vanity metrics. Track what informs decisions:
- Engagement rate by traffic source: which channels send genuinely engaged users?
- Conversion events by source / medium / campaign: where do conversions actually come from?
- User journey path analysis: which pages do converters actually visit?
- Retention by acquisition cohort: which channels acquire users who come back?
- Revenue per user by source: not all users are created equal across channels
9. The implementation gotchas
The common GA4 setup mistakes that produce wrong data:
- Multiple tags firing on the same page (creates duplicate events)
- Cross-domain tracking misconfigured (sessions split incorrectly)
- Internal traffic not filtered (your team views inflate metrics)
- Conversion events double-counted (every page view OR every form submission, not both)
- Server-side tracking via Conversions API NOT set up (you're missing 30-50% of data)
Audit these on every site you work with. We see at least 2-3 of them broken on most sites we audit.
Bottom line
GA4 is more powerful than UA but requires more investment to use well. Most teams use 10% of its capabilities. The brands that invest in proper GA4 setup, custom events, and BigQuery export have measurement capabilities that compound for years.
If your GA4 setup feels like "UA but worse", you're using it wrong. Start with a proper audit, define what events actually matter for your business, build dashboards keyed to specific questions, and use BigQuery for the analysis the UI can't support.
If you'd like us to look at yours, book a free 15-min review. We'll look at your current implementation, identify the gaps, and give you a 60-day plan to fix them.
