What is Google Analytics 4 and how is it different from Universal Analytics?

Google Analytics 4 (GA4) is the latest version of Google's analytics tool, released in October 2020. GA4 is the successor to the previous version of Google Analytics, Universal Analytics (UA). GA4 introduces several significant changes compared to UA: Cross-environment user tracking – GA4 allows you to track users both on the website and in mobile apps. Changed data collection axis – UA focused on session measurement, while GA4 focuses on tracking individual events such as link clicks, page views, product purchases, and many others. Data-driven attribution – GA4 uses an attribution model dedicated exclusively to your data, providing precise information about user interactions with your website that resulted in conversions. Better understanding of the customer lifecycle – GA4 has a refreshed interface and more flexible reporting, allowing for greater freedom when working with data. Machine learning – allows you to predict user behavior and their propensity to convert.

How to configure data sources in Google Analytics 4?

If you want to configure data streams in GA4, follow the steps below: in the Administration tab, select Data Streams, select the source from which the data should flow, name it and paste the URL of the website or application, finally click the Create button, copy the generated measurement ID and place it on your website or mobile application.

What are the key metrics and dimensions to track in Google Analytics 4?

Key metrics to look for when analyzing data include: Active Users – this is the basic user metric in GA4. A website user is defined as active if they have an "engaged session" or when GA4 records a first_visit event or the engage_time_msec event parameter. Engaged Sessions – the number of sessions that met one of the following criteria: lasted more than 10 seconds, recorded a conversion event, or recorded at least two page views. Impressions – the total number of app or web page screens viewed by users. Conversions – the number of conversion events triggered by users. Session Conversion Rate – the percentage of sessions that resulted in a conversion. Dimensions that facilitate analysis include: Session-level Source/Medium – the source and medium associated with the start of the session. User-level Source/Medium – the source and medium through which the user was acquired. Device Category – the type of device the user was using to browse our website.

How to solve the most common problems with Google Analytics 4?

If you notice that your data does not match, perform these 3 checks: check whether you have not applied filters to the selected report and your internal traffic is correctly excluded, make sure that the measurement ID is correctly added to the page and appears on the entire website, check whether specific events are firing correctly using a separate Google Tag Manager tool or the built-in GA4 functionality – Debag View.

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Configuration and implementation of Google Analytics 4

Configuration and implementation of Google Analytics 4

Q: How to create a Google Analytics 4 property?

Creating a GA4 property is very simple and intuitive. After visiting https://analytics.google.com, click "Start Measuring." Choose a name and review the data sharing settings. Click "Next" to proceed to the configuration section. Name your property and select the appropriate country and time zone – this is crucial! An incorrect time zone will affect the quality of your data. Finally, you'll move on to the optional section regarding your company information. After clicking "Create," you'll be asked to accept the Google Analytics Terms of Service. If you've previously used Universal Analytics, log in to your account, go to the "Administrative" section, and click "Create Property." Then, follow the instructions above.

Q: How to use machine learning and artificial intelligence in Google Analytics 4?

Thanks to machine learning and artificial intelligence, GA4 can develop an attribution model based on data collected in the service. It's worth comparing it with other attribution models already available, such as Last Non-Direct Click, which dominated Universal Analytics. Additionally, GA4 can independently detect certain anomalies in user count, conversions, and other metrics. It will notify us of these anomalies in the dashboard itself, allowing us to react more quickly to market changes or unexpected website errors. For services with sufficient data, predictive metrics are also available, allowing us to create a list of recipients who are most likely to make a purchase. Such a list can prove to be a great complement to remarketing campaigns.

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What is Google Analytics 4?

Google Analytics 4, or GA4 for short, is the latest version of Google's analytics platform. GA4 was released in October 2020 and will fully replace the previous version, Google Analytics 3 (Universal Analytics), in July 2023.

The tool provides comprehensive information on all website and mobile app traffic. This is achieved through a new data approach that focuses on users and events. By incorporating machine learning and a data-driven attribution model, Google Analytics 4 allows for more detailed analysis of user interactions with the website and the identification of key metrics.

GA4 offers precise analysis capabilities for data represented in sets of tables, making it easier to understand user behavior and accurately measure the impact of marketing activities.

GA4 also introduces new ways to identify users across devices while respecting privacy and fully complying with data protection regulations.

Why is it worth implementing GA4 today?

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Give yourself time to become familiar with the GA4 panel and learn to use it comfortably when UA is turned off.

Google Analytics 4 should start collecting historical data as soon as possible, as the collection method has changed compared to Universal Analytics. Furthermore, UA data will disappear at the end of 2023. The sooner you implement GA4, the further back you'll be able to analyze data month-over-month or year-over-year.

Thanks to quick implementation, you will minimize data losses related to privacy policy and cookie banners, which significantly affect the correct operation of Universal Analytics.

To fully utilize GA4's machine learning-based features, you need to have a sufficient amount of historical data – the sooner the system starts collecting it, the sooner you can use it.

Decide to implement GA4 today and take charge of your business! Take advantage of comprehensive support from Verseo specialists who will configure GA4 for you.

Collecting data on user behavior on your website

Google Analytics 4 allows for more comprehensive data analysis of user behavior on your website and mobile app. For this process to work, proper GA4 configuration is crucial – this requires creating an account and generating tracking code. Once properly implemented, Google Analytics 4 automatically collects data on user behavior, such as number of visits, time spent on the page, and more.

If GA4 configuration is a challenge for you, you can always reach out to Verseo for support! Tell us about your needs and expectations, and we'll bring them to Analytics!

Knowing the preferences and needs of your customers and better understanding their behavior

GA4 gives you the ability to analyze user actions from a single visit to the overall interaction with your website:

Life Cycle section

in reports Acquisitions You'll learn more about the channel your visitors come from. You'll also find information about the best source for bringing new customers to your website.
report Maintenance provides information on new and returning users. You can also analyze their engagement.
report Involvement informs about user behavior on individual pages; achievement of website goals and other measured events.
in the report Generating revenue You'll learn the value of transactions made on the website and in the app. You'll also check the effectiveness of individual products.

User section

report Demographic data provides information related to the website's persona specification – demographic, geographic and user interest information.
report Technology shows a detailed analysis of the devices used to browse the website or application.

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Knowing who your website's audience is will allow you to plan your marketing campaigns more precisely.

Effective website optimization that will increase conversions and profits

When configuring GA4, don't forget to mark your most important events (e.g., contact form completion, purchase, link click) as conversions. How do you do this?

Open the Administration tab , then click Events . This list contains all existing events, and to the right of each event is the option to mark them as conversions. This setting allows you to easily verify whether users are completing the actions you expect. By adding conversion path analysis, you can see at what point recipients abandon their goal. You should create the report yourself in the Explore section.

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These two places in GA4 will help you verify your audience's actions in detail, and you can use the lessons learned to optimize your website.

Integration with other marketing tools, enabling comprehensive analysis of marketing activities and their better adaptation to customer needs

The implementation of Google Analytics 4 allows for integration with numerous tools, enabling the combination of various data sources and the analysis of user behavior both within the app and on the website. Analytics can be easily connected to the following tools:

Google Ads – allows you to create and analyze advertising campaigns running on Google. Additionally, you can use audience lists created in GA4 to conduct remarketing activities.
Google Optimize – allows you to conduct A/B testing and personalize website content. This will help you learn which changes are more beneficial to you.

Google Search Console – allows you to monitor your website's position in Google search results and analyze organic traffic.

Google Tag Manager – allows you to manage tracking codes on the website.

Key Features of GA4

Google Analytics 4 is equipped with many features that make working with the tool easier. One of the most interesting is Advanced Measurement , which allows for automatic event tracking that requires no additional implementation.

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GA4 also offers access to developer mode – DebugView , where you can see what events and parameters are being passed in real time. You can find it in the Administration -> DebugView section . This allows you to more quickly troubleshoot tag implementation issues and verify changes.

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GA4 helps you identify users across multiple devices through the use of UserIDs . This means that a user who first interacted with your business through an app and then re-entered from a desktop device will be tagged as the same person.

Another new feature in Google Analytics 4 is access to the Explorations section , where you can create your own reports from scratch or use pre-built templates. You can choose between freeform, funnel, or segment overlap exploration, and use this approach to gain even deeper insights into your business.

A very useful feature for more advanced Analytics users is the free connection to the BigQuery data warehouse , which allows for more detailed data analysis.

What is the difference between GA4 and UA

Greater individuality

The structure for presenting data collected in UA was defined by Google and replicated across all Analytics accounts. GA4 offers significantly greater customization, allowing reports to be tailored to the specific preferences of the user using them. During the GA4 implementation, the Verseo team can create reports based on your needs. Together, we will establish the most important goals for your business, implement them in Analytics, and demonstrate how to use them.

Changing the data collection axis

Customers today use multiple devices to make purchasing decisions. This is known as cross-device. Additionally, multi-channeling is emerging – users accessing your website from different traffic sources. This means that a potential customer visits your website multiple times before making a purchase, using, for example, Google ads, organic search results, or social media.

Both of these phenomena make it difficult to draw conclusions from the data, making determining which marketing activity influenced the conversion much more complicated.

GA4 therefore introduces a completely different way of working with data, based on a holistic approach to the user relationship. Furthermore, it aggregates both website and app data to better understand the customer journey. This makes analysis more precise and the conclusions drawn more relevant.

Accurately attribute conversions with data-driven attribution

Attribution models are a set of rules that determine how sales and conversions are attributed to the traffic source that brought a user to your website.

In Universal Analytics, this model was greatly simplified, and for most reports, all credit for goal completion was attributed to the non-direct last click. Due to the aforementioned intertwining of traffic sources influencing the final conversion, this model is no longer sufficient. In GA4, we can analyze reports using a data-driven attribution model—yes, your website's data! Therefore, this model is dedicated and appropriate only for your website. Thanks to it, you can thoroughly analyze how all your marketing activities impact users and the final goal completion.

The latest technology – machine learning

GA4 uses machine learning to better predict certain trends in user behavior on your site while respecting their privacy. Predictive metrics allow you to learn which user lists on your site are worth boosting your advertising message to.

It sounds amazing, but a poorly configured system can't do this effectively. So trust the expertise of Verseo specialists. Choose experience and let us implement and configure GA4 for you.

Complete GA4 implementation process with Verseo

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Creating a Google Analytics 4 Account

Creating a Google Analytics 4 account is easy and doesn't require advanced technical knowledge. It takes about 10 minutes, and you'll need a Google profile to set one up. If you don't have an account, create one before you begin.

go to the website https://analytics.google.com and click on Start measuring.
Select an account name and read the information about data sharing. To proceed to the next section, select Next.

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You are now in the configuration section – name the service, then set the appropriate location and time zone.

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The next part is about your company – responding to a short survey is optional.
Finally, read the Google Analytics terms of service. You must accept them.

That's it, you've just created a GA4 account. But the work isn't over yet. You still need to implement your tracking code and set up key events. Keep in mind that the GA4 setup process can be complicated and time-consuming.

Don't have time to implement GA4 yourself? Contact Verseo! Our modular offering allows us to perfectly tailor it to your business's current needs.

Data source configuration

Data sources are the foundation of your Analytics. To configure them, go to " Administration " -> " Data Streams " and select the platform from which you want to receive data. Then, select the source from which you want to retrieve information and provide a name for the stream. Finally, click the " Create " button.

Note that advanced measurement is automatically enabled when you add a data stream – this means 6 automatic events will be collected by GA4. If you want to opt out, uncheck this option.

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Data collection settings

To modify data collection settings, open the Administration , Service , Data Settings , Data Collection tab.

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Google Signals allows you to receive detailed information about the location and interests of your website visitors. This feature is primarily recommended for high-traffic websites and apps, as it uses sampling during data collection, which cuts off some results.

Collecting detailed location data is a recommended option for every Analytics user. It allows for enriching user information with the city and device they are using.

Ad personalization is suitable for anyone who connects their GA4 account to Google Ads and wants to export, for example, audience lists for advertising purposes.

The last option is to confirm that users have consented to the collection of cookies.

GA4 setup – you gain a lot!

Google Analytics 4 is a tool that utilizes the latest artificial intelligence technologies. Let your business evolve with the times!

By using Verseo support, you know that the system will work according to your needs, and the data about your website activities will be valuable and useful.

Be confident that your business is secure and your data is well organized.

GA4 implementation isn't everything – you'll receive much more as part of the service! Our Verseo team will not only prepare your GA4 configuration, but also:

will take care of the order in the data layer of your website,
will send a report on the completed GA4 implementation,
depending on the selected package, the configuration will be discussed in detail at the summary meeting,
will prepare tutorials to facilitate the use of the new version of Google Analytics 4 in the form of short video recordings.

Navigating the Google Analytics 4 interface

Google Analytics 4 has a very comprehensive user interface, so it's worth taking the time to familiarize yourself with it. This will allow you to utilize all the platform's features.

After logging in to your GA4 account, you'll arrive at the home page, which displays basic information such as user count, session count, and conversion count. To navigate to other sections, use the navigation menu on the left.

Google Analytics 4 Interface Overview

GA4 Sections:

Home – contains basic traffic information such as the number of visits and time spent on the site.
Reports – This section consists of several predefined reports, divided thematically. Each report can be filtered, dated, or compared.
Exploring – allows you to create your own reports. To visualize your data, you can use one of the provided templates or create one from scratch.
Advertising – this section will help you compare different attribution models and enable you to analyze your conversion path.
Administration – used to manage your Google Analytics 4 account, including adding users, changing permissions, adding a data stream, and much more.
Help – database of information about Google Analytics 4.

Key metrics and dimensions to track

Google Analytics 4 offers a variety of metrics and dimensions that allow for detailed analysis of website or app traffic. Metrics provide quantitative information, while dimensions provide descriptive information.

Key metrics and dimensions

Session is a group of user interactions with a website that occur within a specific time period (usually 30 minutes).
Engagement sessions – entering a website during which the user performs one of the following actions: opens the website for at least 10 seconds, displays at least two subpages, or converts.
Medium session – contains information about the nature of the session – whether it was generated as part of paid, organic, redirected activities, etc.
Source session – informs from where the user came to the website and started the session (Google, Facebook, Direct…).
User – a person interacting with an application or website.
New user – the recipient who opens your website/app for the first time. When they return, the name changes to: Existing user.
New Medium user – dimension informs about how the user first reached the page.
Active users – number of recipients who recorded an engaged session.
Views (formerly page views) – their number indicates how many times a given page was displayed on the first screen.
Conversions – the number of events marked as goal completion, such as making a purchase or completing a contact form. Conversions allow us to assess the effectiveness of our website and marketing efforts.
Device – determines what device the user is using.
Date – tells us when a recipient visited our website. This allows us to see traffic trends.

Harnessing the Power of Google Analytics 4

GA4 provides its users with many tools enabling accurate work with data.

Shopping cart analysis allows you to identify the products that are most frequently added to your cart and determine what factors influence your purchasing decision.

User segmentation allows you to divide your audience into groups, for example, by age, gender, geolocation, or website usage. This allows you to better understand the needs and behaviors of specific groups. Furthermore, segments allow you to create audience lists that are useful for running Google Ads campaigns.

Let's not forget the many data visualization options GA4 provides: charts, tables, and heat maps. This makes analyzing results more convenient and finding important information faster.

Advanced analysis using machine learning and artificial intelligence

Machine learning and the use of artificial intelligence sound like science fiction, but in fact, these are elements of technology already used in GA4 today.

Automatic anomaly detection – GA4 will alert you to unusual metric values in your Analytics account, such as lower user counts or higher transaction volumes than expected. This allows you to react faster and improve your website's performance.

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Data-driven attribution model – Universal Analytics (the previous version of the tool) offered basic methods for attributing goal completion based on a specific schema. Google Analytics 4 uses machine learning to analyze the customer journey and allocate conversion credit to individual traffic sources.

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Predictive Data – Using artificial intelligence, GA4 can predict future user behavior. The tool offers three predictive metrics that allow you to determine the likelihood of a user taking a specific action.

One of them is the probability of purchase, which determines whether someone who was active in the last 28 days will convert within a given time period.

Creating custom reports

If you feel that the available GA4 reports aren't enough for you, you can use the Explore section. This tab allows you to create reports that suit your needs. It's worth using it regularly, experimenting with different settings, and verifying the templates proposed by GA4.

Using Google Tag Manager with Google Analytics 4

Google Tag Manager (GTM) allows you to easily add and manage various marketing tags on your website. This tool is very useful for DIY GA4 implementations, event and conversion tracking, measuring custom metrics and dimensions, and content grouping.

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Troubleshooting Google Analytics 4

When configuring GA4, you need to keep in mind that you may miss some steps or perform them incorrectly, so whenever you see anomalies in your account, first check its settings.

Not sure if your GA4 service is working properly? Let Verseo audit your analytics!

Most common problems and their solutions

Remember, if you see any discrepancies, first refresh the report. Often, it's just a malfunction in the Analytics panel, and the tool simply requires a restart.

No data in GA4 after implementing tracking code

The error may be due to incorrect code implementation, which may have been pasted in the wrong place, contain unnecessary whitespace, or be missing a rule that could trigger the error. Verify that the configuration is correct and has been applied to all pages of your website. You can do this by using appropriate plugins or using information provided in developer tools like the Console.

Incorrect data in GA4

If you see incorrect results in your Analytics, don't panic – first, check whether you haven't applied any filters to the report that might be distorting the data. It's worth verifying at this stage whether there are any duplicate GA4 tracking IDs or whether individual events are firing correctly. Use the DebugView tool to help you analyze real-time data.

No data on advertising activities

If you don't see data from your linked Google Ads account in GA4, check if the link was established correctly. You can verify this by opening the Administration tab, then in the Property column , selecting Service Connections -> Google Ads Connections . Select the account you're interested in and click the arrow to check its settings. Remember that full linking requires Google Ads activity.

Using the Google Analytics Help Center

The Google Analytics Help Center is a rich source of information about using this analytics platform. Click Help and select the topic category that interests you (choose from: Introduction to Google Analytics , Reporting and Analytics , Setup , Account and Users , Integrations , and more). If none of the topics suggested by Google are relevant, use the search box and enter a keyword that relates to your query.

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Best Practices for Using Google Analytics 4

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Tips for optimizing data accuracy

Nothing is more dangerous than data contamination. When implementing Google Analytics 4, remember to filter internal IP addresses. This allows you to exclude traffic generated by company employees or other internal sources. Additionally, remove unwanted traffic from referring websites, such as payment gateways. Both actions will help you obtain accurate data from your website.

How to keep your data private and comply with regulations

If you plan to use Google Analytics 4, it's worth ensuring your activities are compliant with data protection regulations. GA4 itself doesn't log IP addresses to maintain user anonymity, and it also gives you the option to disable the collection of device and location information. However, if you want to use Analytics data, you should place a Cookie Banner on your website, allowing users to decide which information they want to share with you.

Find out more about the Cookie banner here: https://verseo.pl/oferta/wdrozenie-cookie-baner/

How long does it take and how much does it cost to implement and configure Google Analytics 4?

Full GA4 implementation takes between 2 and 8 weeks. This time may vary depending on individual project arrangements.

We offer GA4 implementation in 3 dedicated packages, individually tailored to your needs:

Starter – to be able to start activities with Google Ads, Facebook Ads or positioning and evaluate their effectiveness based on the achievement of a specific goal

Advanced – to be able to analyze the user path and the implementation of micro- and macro-goals

Pro – to be able to fully utilize the potential of GA4, completely adapting it to the specifics of the business and collecting full information about users

Several factors influence the cost and time of implementation:

the number of events, dimensions and metrics you want to monitor,
the current state of analytics,
time it takes for your IT department to implement the data layer (if necessary),
number of language versions available within your domain.

For package details, please visit: https://verseo.pl/cennik-ux/wdrozenie-google-analytics-4/

Check out what our customers say about us

In 2022, Verseo specialists implemented Google Analytics 4 for costway.pl, including e-commerce data configuration. This allowed us to adapt the company to the modern analytical capabilities offered by GA4. We can now easily compare the effectiveness of channels and products offered.

The entire procedure was carried out with exemplary professionalism, and Verseo's knowledge of the subject and the pace of work leave us with no choice but to recommend the agency's services in the implementation of Google Analytics 4, and – more broadly – all web analytics.

Paulica Malicka E-Commerce Manager at Costway Sp. z o. o

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Summary

Google Analytics 4 opens up new possibilities for data analysis. The sooner you implement it on your website, the more you'll learn about the tool and your users. Take your analytics to the next level and make the switch today.

And if you don't want to do it yourself, we're happy to help! Take advantage of GA4 implementation with Verseo!

You are now reading:

Configuration and implementation of Google Analytics 4

What is Google Analytics 4?
Why is it worth implementing GA4 today?
Key Features of GA4
What is the difference between GA4 and UA
Complete GA4 implementation process with Verseo
GA4 setup – you gain a lot!
Navigating the Google Analytics 4 interface
Harnessing the Power of Google Analytics 4
Troubleshooting Google Analytics 4
Best Practices for Using Google Analytics 4
How long does it take and how much does it cost to implement and configure Google Analytics 4?
Check out what our customers say about us
Summary

FAQ – Google Analytics 4 Configuration and Implementation

We hope that after reading this text all your doubts have left you!
However, if this is not the case, we have prepared a set of frequently asked questions about the new version of Analytics!

Google Analytics 4 (GA4) is the latest version of Google's analytics tool, released in October 2020. GA4 is the successor to the previous version of Google Analytics, Universal Analytics (UA).

GA4 introduces several significant changes compared to UA:

Track users across multiple environments – GA4 allows you to track users on both the website and mobile apps.
Changing the axis of data collection – UA focused on session measurements, while GA4 focuses on tracking individual events such as link clicks, page views, product purchases, and many others.
Data-driven attribution – GA4 uses an attribution model dedicated exclusively to your data, providing precise information about user interactions with your website that resulted in conversions.
Better understanding of the customer lifecycle – GA4 has a refreshed interface and more flexible reporting that allows for greater freedom when working with data.
Machine learning – enables prediction of user behavior and their tendency to convert.

Setting up a GA4 property is very simple and intuitive. After visiting https://analytics.google.com, click " Start Measuring ." Choose a name and review the data sharing settings. Click " Next" to proceed to the configuration section. Name your property and select the appropriate country and time zone – this is crucial! An incorrect time zone will affect the quality of your data. Finally, you'll move on to the optional section regarding information about your company. After clicking " Create," you'll be asked to accept the Google Analytics terms of service.

If you previously used Universal Analytics, log in to your account, go to the Administration section , and click the Create Property button . Then follow the instructions above.

If you want to configure data streams in GA4, follow these steps:

in the bookmark Administration Wybierz Data streams,
select the source from which the data should flow,
name it and paste the URL of the website or application,
finally, click the button Create,
Copy the generated measurement ID and place it on your website or mobile app.

Key metrics to look out for when analyzing data include:

Active Users – This is the basic user metric in GA4. A website user is defined as active if they have an "engaged session" or when GA4 records an event first_visit or event parameter engage_time_msec.
Engaged Sessions – Number of sessions that met one of the following conditions:
- lasted more than 10 seconds,
- a conversion event was recorded in them,
- at least two page views of the website were recorded.
Views – The total number of app or web page screens viewed by users.
Conversions – the number of conversion events triggered by users.
Session Conversion Rate – The percentage of sessions that resulted in a conversion.

The dimensions that facilitate their analysis include:

Session-level source/medium – The source and medium that were associated with the start of the session.
source/medium at the user level – the source and medium through which the user was acquired.
device category – the type of device the user used when browsing our website.

Using machine learning and artificial intelligence, GA4 can develop an attribution model based on data collected within the service. It's worth comparing it with other attribution models already available, such as the Last Indirect Click model, which dominated Universal Analytics. Additionally, GA4 can independently detect certain anomalies in user count, conversions, and other metrics. It will notify us of these anomalies in the dashboard itself, allowing us to react more quickly to market changes or unexpected website errors.

For services with sufficient data, predictive metrics are also available, allowing users to create a list of recipients most likely to make a purchase. Such a list can be a great addition to remarketing campaigns.

If you notice that your details do not match, follow these 3 steps:

check that you have not applied filters to the selected report and your internal traffic is correctly excluded,
make sure the measurement ID is correctly added to the page and appears throughout the website,
Check whether specific events are triggered correctly using a separate Google Tag Manager tool or the built-in GA4 functionality – Debag View.

Google Analytics 4 setup time depends on many factors, such as the number of events, site complexity, the current state of analytics, and the accuracy of the site's data layer. Depending on the scope of work agreed upon at the beginning of setup, implementation can take anywhere from 2 to 8 weeks. It's important to remember that this time period includes not only setup but also testing to ensure the performance of the settings.

It's not possible to transfer historical data from UA to GA4 due to the different recording methodology. While the names of some metrics remain the same, the way they are measured has changed significantly, which means we lose the ability to combine data collected in two separate services – Universal and GA4.

However, it is possible to download data from UA, save it, and visualize it using the Looker Studio tool, which will prove very useful when it is deleted from Google servers, which is expected to happen at the end of 2023. So, if you don't want to lose historical data, make sure to download it well in advance.

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Configuration and implementation of Google Analytics 4

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What is Google Analytics 4?

Why is it worth implementing GA4 today?

Collecting data on user behavior on your website

Knowing the preferences and needs of your customers and better understanding their behavior

Life Cycle section

User section

Effective website optimization that will increase conversions and profits

Integration with other marketing tools, enabling comprehensive analysis of marketing activities and their better adaptation to customer needs

Key Features of GA4

What is the difference between GA4 and UA

Greater individuality

Changing the data collection axis

Accurately attribute conversions with data-driven attribution

The latest technology – machine learning

Complete GA4 implementation process with Verseo

Creating a Google Analytics 4 Account

Data source configuration

Data collection settings

GA4 setup – you gain a lot!

Navigating the Google Analytics 4 interface

Google Analytics 4 Interface Overview

Key metrics and dimensions to track

Harnessing the Power of Google Analytics 4

Advanced analysis using machine learning and artificial intelligence

Creating custom reports

Using Google Tag Manager with Google Analytics 4

Troubleshooting Google Analytics 4

Most common problems and their solutions

Using the Google Analytics Help Center

Best Practices for Using Google Analytics 4

Tips for optimizing data accuracy

How to keep your data private and comply with regulations

How long does it take and how much does it cost to implement and configure Google Analytics 4?

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Summary

FAQ – Google Analytics 4 Configuration and Implementation

What is Google Analytics 4 and how is it different from Universal Analytics?

How to create a Google Analytics 4 property?

How to configure data sources in Google Analytics 4?

What are the key metrics and dimensions to track in Google Analytics 4?

How to use machine learning and artificial intelligence in Google Analytics 4?

How to solve the most common problems with Google Analytics 4?

How long does it take to implement a Google Analytics 4 setup?

Is it possible to transfer data from Universal Analytics to GA4?