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Google Analytics 4: A Guide to Setup and Data Interpretation

Google Analytics 4: A Guide to Setup and Data Interpretation. The move from Universal Analytics to Google Analytics 4 fundamentally changed how website owners collect and interpret traffic...

2026-03-14
Google Analytics 4: A Guide to Setup and Data Interpretation

Google Analytics 4: A Guide to Setup and Data Interpretation. The move from Universal Analytics to Google Analytics 4 fundamentally changed how website owners collect and interpret traffic data.

The new event-based model gives a more detailed view of user behavior, but it requires a different understanding of the reports and metrics available. Without a correct setup, the data you collect can be incomplete or hard to interpret.

Google Analytics 4 works on a different principle from its predecessor. Instead of measuring page views and sessions, GA4 treats every user interaction as an event, from loading a page and clicking a button to scrolling through content and watching a video.

Google Analytics 4: a guide to setup and data interpretation


This model offers more flexibility in data analysis, but it requires a clear measurement strategy.

In this article you will learn how to set up Google Analytics 4 correctly, how to interpret the main reports and how to use the data to make informed decisions that improve your website's performance and organic traffic.

We will go through each stage, from creating the property and installing the code to configuring custom events and interpreting advanced reports.

Setting up Google Analytics 4 involves creating the property, installing the tracking code, configuring events and setting up conversions. Each stage affects the quality of the data you will have available for analysis and optimization.

A solid foundation in the setup saves you valuable time later and ensures that your decisions are based on accurate data.

Creating the GA4 property and installing the code


If you don't have a GA4 property yet, create one from the Google Analytics dashboard. The process is simple, but there are a few things to watch out for to avoid problems with the data you collect later.
  1. Go to analytics.google.com and sign in with your Google account
  2. Click "Admin" (the gear icon at the bottom left)
  3. Select "Create Property" and choose "Google Analytics 4"
  4. Fill in the property name, time zone and currency: choose the correct time zone for Romania (Europe/Bucharest) to avoid discrepancies in reports
  5. Set up a data stream (Data Stream) for your website: enter the website URL and name
  6. Copy the measurement code (Measurement ID) that starts with "G-"
The time zone matters more than it seems at first glance. If you set it wrong, daily reports will show incomplete data or data that is shifted relative to reality, and comparisons between periods will be inaccurate. Once set, changing the time zone can affect historical data.

To install the code on a WordPress website, you have several options:

  • Dedicated plugin: Site Kit by Google is the official plugin that connects GA4 automatically
  • Google Tag Manager: the recommended solution for advanced setups with multiple tags
  • Manual insertion: add the gtag.js code in the head section of the theme (recommended only if you use a child theme)
  • Yoast SEO plugin: lets you add the GA4 code directly from its settings
Check that the installation is correct using the Google Tag Assistant extension for Chrome, or from the "Realtime" report in GA4: if you see active users, the code works. It is also a good idea to check that the code is not installed twice, which would artificially double the number of visits recorded.

Configuring events and conversions


Events are the core of the GA4 data model. Understanding the available event types and how you configure them determines how valuable the data you collect will be for your business.

Automatically collected events


GA4 automatically collects a number of events with no extra setup. Turn on the "Enhanced Measurement" feature in the data stream settings to automatically collect:
  • page_view: page views
  • scroll: scrolling a page past 90%
  • click: clicks on external links
  • file_download: file downloads (PDF, DOCX, XLSX etc.)
  • video_start, video_progress, video_complete: interactions with embedded YouTube videos
  • site_search: searches on the website (if you use the standard search parameter)
  • first_visit: a user's first visit to the website
  • session_start: the start of a new session
These events are collected without any extra effort on your part, which immediately gives you a large volume of data about visitor behavior.

However, for a complete picture you will also need custom events that reflect the specific goals of your business.

Custom events


To measure actions specific to your business (submitting a contact form, clicking the phone number, adding to cart), set up custom events through Google Tag Manager or through the gtag.js code.

Example code for tracking clicks on the phone number:

gtag('event', 'phone_click', {
  'event_category': 'contact',
  'event_label': 'header_phone',
  'value': 1
});

The most important custom events for a service website are:
  • form_submit: submitting contact or quote request forms
  • phone_click: clicking the phone number (tel: link)
  • cta_click: clicks on the main call-to-action buttons
  • chat_start: starting a live chat conversation
  • email_click: clicking the email address
With Google Tag Manager, you can set up these events without changing the website code, which makes it easier to work with the marketing team and allows quick changes without a developer.

Setting up conversions


Once events are configured, mark the most important ones as "Conversions" in the Admin, Events section. A conversion is an action that is valuable to your business: submitting a contact form, completing an order or downloading a resource.

Setting up conversions correctly lets you:

  1. Measure the conversion rate for each traffic channel
  2. Optimize Google Ads campaigns based on real conversions
  3. Identify the pages and content that generate the most valuable actions
  4. Justify marketing investments with concrete data

Interpreting the main reports


GA4 offers a set of predefined reports, organized by category. Understanding each report and the metrics it displays matters if you want to get value from the data you collect.

The acquisition report


This report shows how users reach your website. The main channels are:
  • Organic Search: traffic from Google organic results
  • Direct: users who go straight to the website URL
  • Referral: traffic from other websites that link to yours (relevant for your link building strategy)
  • Social: traffic from social networks
  • Paid Search: traffic from Google Ads campaigns
  • Email: traffic from email marketing campaigns
Analyze which channels bring the most traffic and which generate the most conversions. A channel with a lot of traffic but few conversions needs optimization, while a channel with little traffic but high conversions deserves more investment.
This analysis helps you allocate your marketing budget where it delivers the best results.

The engagement report


GA4 replaces the concept of "bounce rate" with "engagement rate", the percentage of sessions in which the user actively interacted with the website (visited at least 2 pages, spent at least 10 seconds or triggered a conversion event).

The important metrics in this report:

  • Average engagement time: the average time spent actively on the page
  • Engaged sessions per user: the average number of sessions with interaction per user
  • Views per user: how many pages a user views on average
  • Engagement rate: the percentage of sessions with active interaction
A low engagement rate on an important page (such as the services page or the contact page) signals a problem: either the content is not relevant to visitors, or the page loads slowly, or the design does not guide the user toward the desired action.

The retention report


The GA4 retention report shows how many users come back to the website after their first visit. This is an extremely valuable metric for content websites and e-commerce sites. A large number of returning users indicates that you offer real value and that your brand is memorable.

Analyze the cohort of new users versus returning ones and check whether there are patterns related to content type or acquisition channel.

Integration with Google Search Console


Connecting GA4 with Google Search Console lets you see organic search data directly in your Analytics reports. From Admin, Product Links, Search Console Links, connect the matching Search Console property.

After the integration, go to the "Search Console" report in the "Acquisition" section to see:

  • The keywords you appear for in Google results
  • The average positions for each keyword
  • The click-through rate (CTR) for each query
  • The pages that get the most organic traffic
This data matters for optimizing your SEO strategy. Identify keywords with good positions (top 10) but low CTR: these are opportunities to improve titles and meta descriptions to attract more clicks.
For example, if an article ranks in position 4 for an important term but has a CTR of only 3%, a more attractive title can double the traffic without any improvement in ranking position.

Custom reports and explorations


The "Explore" feature in GA4 lets you create advanced custom reports. This section is one of the platform's most powerful features and makes up for some limitations of the standard reports. The most useful types of exploration are:
  • Free-form exploration: a flexible table with the dimensions and metrics of your choice
  • Funnel exploration: shows the steps users take toward conversion and identifies drop-off points
  • Path exploration: shows users' route through the website, page by page
  • Segment overlap: compares the behavior of different user segments
  • User lifetime: analyzes the long-term value of users by acquisition source
These reports give insights that the standard reports don't cover. For example, a funnel analysis shows you how many users get from the services page to the contact page and how many actually complete the form. This helps you identify and fix obstacles in the user journey.

A "Path exploration" can reveal unexpected routes that users take, perhaps many visitors reach the pricing page starting from a blog article, which suggests that the article should be optimized to include a more prominent call to action.

Setting up audiences and remarketing


GA4 lets you create custom audiences based on user behavior, which can later be used in Google Ads campaigns for remarketing. A few examples of valuable audiences:
  1. Users who visited the pricing page: they are in the consideration phase and can be targeted with specific messages
  2. Users who completed the contact form: qualified leads for follow-up campaigns
  3. Users who spent more than 3 minutes on the website: a sign of high interest
  4. Users who visited at least 5 pages: highly engaged visitors
Connecting GA4 with Google Ads lets you use these audiences directly in paid campaigns, increasing the efficiency of ad spend by targeting people who have already shown interest in your services.

Tips for effective analysis

  • Set a reference period: always compare data with a previous period to identify trends
  • Use segments: analyze organic traffic, social media traffic and paid traffic separately for relevant insights
  • Monitor the impact of algorithm updates: correlate traffic changes with the dates of Google updates
  • Check GDPR compliance: make sure you have user consent for data collection, in line with Google Consent Mode v2
  • Exclude internal traffic: add your office IP addresses to the exclusion list so your own visits don't contaminate the data
  • Create a reporting calendar: analyze data weekly and monthly to identify short-term and long-term trends

Common mistakes to avoid in GA4


Even with a careful setup, there are a few common mistakes that can compromise the quality of your GA4 data:
  1. Installing the code twice: check that you don't have the GA4 code installed both through Site Kit and manually or through another plugin
  2. Not setting up filters for spam: bot and spam traffic can badly distort the statistics, especially for smaller websites
  3. Ignoring the setup period: GA4 can take 24-48 hours to process new data; don't make decisions based on data from the first hours after installation
  4. Comparing directly with Universal Analytics data: GA4 and UA measure the same things differently; differences of 20-30% between the two platforms are normal
  5. Not setting data retention to the maximum: by default, GA4 keeps user data for 2 months; change this setting to 14 months in Admin: Data Settings so you can make year-over-year comparisons
Google Analytics 4 is a powerful tool that, when set up and interpreted correctly, provides the information you need to make data-driven decisions. Invest time in the initial setup, set the conversions that are relevant to your business and review the reports regularly.

Data has no value unless it is turned into concrete actions to optimize the website.

Source references

Dorel Tănase

Original author at GOAI. Published here in English with permission.

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