Google Analytics 4
Current Universal Analytics is going away by 30th of July. Start with migration to GA4 now
Why It's Important
Features of GA4 in a Nutshell
The current version of Google (Universal) Analytics will stop processing new data by the end of June 2023. If you don’t want to lose your data continuity and possibility of year-over-year comparison, setup of new GA4 and early adoption of the product is inevitable. Google Analytics 4 can give you insights about effectiveness of your online marketing activities and behaviour of your customers on your website. See below what are the key benefits of the new analytics 4 from the data flow point of view:
Gathering
- Cross-platform view (web and app data all in one place)
- Sessions, pageview, and other standard metrics tracked automatically
- User privacy at the first place
- Enhanced Measurement (events such as scroll, click etc.)
Analyzing
- Data-Driven attribution
- Detailed user properties
- New and more accurate engagement metrics
- Data Imports (such as cost data or offline conversions)
Reporting
- Advanced funnel visualizations
- User lifetime value and cohort explorations
- Attribution models comparison
- User / Pages journey funnels
- Customizable GA4 reporting interface
Gathering
- Cross-platform view (Web + App)
- User privacy at the first place
- Sessions, pageview, and other standard metrics tracked automatically
- Enhanced Measurement (events such as scroll, click etc.)
Analyzing
- Data-Driven attribution
- Detailed user properties
- New and more accurate engagement metrics
- Data Imports (such as cost data or offline conversions)
Reporting
- Advanced funnel visualizations
- User lifetime value and cohort explorations
- Attribution models comparison
- User / Pages journey funnels
Start with a 30 Minutes Consultation for Free
Just click on the link and book a time slot that suits you best.
How the Setup Looks Like With Us
Google Analytics 4 Tailored To Your Needs
Consultation & Identification of Requirements for Tracking
Identification of what you need to measure esp. for additional use cases in optimizing your marketing channels and campaigns as key part of the setup process.
- Identification of your business needs related to measurement
- Free audit of your current tracking setup
- Measurement & migration plan creation
- Technical dataLayer assignment for web developers (if needed)
Google Analytics 4 Setup & Configuration
Clear structure of GA4 and proper tracking setup with enrichment of GA4 by other data (such as cost).
- GA4 property setup and GTM configuration
- Integration with other tools such as Google Ads, Google Search Console or Google Big Query
- Ecommerce tracking setup
- Additional events, conversions and audience setup
GA4 Usage in Practice
Setup of GA4 is one part, the other – and more important – is to use all of its capabilities of it and be able to utilize GA4 data for marketing channel optimization and better campaign performance.
- Custom reports preparation in GA4 user interface or our pre-built Looker Studio Ecommerce or Lead gen templates
- Integration with BI visualisation platform such as Looker / Google Data Studio
- Creating better targeted audiences based on GA4 events
- Additional use cases for GA4 such as combining user behaviour data with your CRM, integrating GA4 data with your other business + data systems.
1 - 2 Weeks
We are time flexible. Completion of GA4 setup usually takes around 1 - 2 weeks. Mostly depends on the client's capacity to grant necessary access rights etc.
Marketing & Analytics Expertise
We can help you with more advanced tasks such as marketing mix modelling, customer analysis or server-side tracking
Workshop & Reporting
GA4 workshop is part of every GA4 implementation. We can also help you with preparation of reports in selected visualisation platforms or provide you with our Google Analytics 4 Looker Studio templates.
How Much Does it Cost?
Choose The Most Suitable GA4 Solution
from €599
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GA4 account ready for switch from Google (Universal) Analytics
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advice on what events should be measured according to best practices
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standard events such as sessions, users, page views, etc.
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some custom events such as lead form or newsletter subscription measured
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Google Ads cost in GA4 UI
from €999
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a more complex and tailored GA4 measurement
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standard events such as sessions, users, page views, etc.
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e-commerce events as well such as purchase, add to cart etc. measured
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formal measurement plan and documentation
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Google Ads, Google Search Console data in GA4 UI
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to export raw GA4 data to Big Query
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cross-device user tracking
Ask for quote
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consultancy or audit of current GA4 tracking
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an external admin of our GA4 and tag management
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training of our internal team
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privacy-first tracking (using server-side tracking)
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cross-device user tracking
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any custom requirements
1 - 4 Weeks
We are time flexible. Completion of GA4 setup usually takes around 1 - 4 weeks. Mostly depends on the client's capacity to grant necessary access rights etc.
Marketing & Analytics Expertise
We can help you with more advanced tasks such as marketing mix modelling, customer analysis or server-side tracking
Workshop & Reporting
GA4 workshop is part of every GA4 implementation. We can also help you with preparation of reports in selected visualisation platforms
Our Clients Appreciate
Expertise across the whole analytics domain, speed & professionalism of our approach.
Our Clients Appreciate
Expertise across the whole analytics domain, speed & professionalism of our approach.
FAQ
Find Out More About GA4
The short answer is simply: yes, you should start the process as soon as possible! Why? The current version of Google (Universal) Analytics will stop collecting data on June 30, 2023. To continue with measuring traffic, conversions, customer journeys or other events and campaigns on your website, there is no other choice but to switch to GA4. At the same time, the sooner you set up data measurement in GA4, the longer you will have the continuity of collecting data about your customers in the new event based system.
One of the best practice is to have concurrently the old UA tracking available and new GA4 tracking already implemented. At this moment you can begin to adopt GA4 for the use cases where GA4 has the features necessary – your team will gradually shift to the new data model, new UI etc.
During the process, we also recommend that you audit the current analytics setup (Evaluate your custom reports, MarTech integrations, segments, custom dimensions, etc) you use and these involve into GA4 equivalents. Also, use this opportunity to consider the future analytics + data collection + usage landscape in your organization due to changes in privacy, compliance, different business needs etc – some areas may no longer be relevant, others may need a fresh approach.
After deployment, events such as session_start, page_view, user_engagement will be automatically measured in GA4.
To be more concrete in the basic reports you will see the metrics originally marked as:
- sessions,
- page views,
- number of users and their engagement.
You can find a concrete list of automatically collected data in the official Google help.
GA4 brings simplification in the form of setting selected events directly in the interface. It works for events such as:
- scrolling on the page
- click on outgoing links
- download documents
- interact with the video
However, it is not always suitable to automatically switch on the measurement of the mentioned events. A customized measurement solution is still needed in some specific websites / web technologies, for example for scrolling on the page.
Google BigQuery is a data warehouse and is part of the so-called Google Cloud Platform. BigQuery, for example, serves as a data basis for advanced reporting on data from GA4 in various BI tools, such as Google Data Studio, PowerBI, Tableau and others. Alternatively, in BigQuery, with the help of the SQL language, you directly query – you could say filter – the information you want to obtain from the raw data. In other words, you are filtering answers to questions you can’t easily answer just by using the GA4 user interface.
Some practical usage examples are:
- processing of raw data, its transformation and its subsequent visualization in BI visualization platforms,
- combining / connecting data sources – for example, users behavior data from GA4 with your transactional data from ERP or CRM, or perhaps with data from other marketing platforms (Facebook, TikTok, etc.) In this way, you can get a comprehensive view of the performance of your marketing channels and activities and their contribution in terms of net orders, sales, margin and overall profitability, etc.
- sending enriched data from BigQuery to other platforms (for example, enriching the Google Ads feed with signals such as margin at the product, category level, etc.)
The advantage of BigQuery is in the ability to process large volumes of data, speed, low price and relatively easy work for users who know the SQL query language.