Accurate GA4 data for marketing and management decisions
92% of sites have critical issues with web analytics setup and data collection.
These companies cannot correctly analyze the effectiveness of their advertising and draw correct conclusions.
Time to make the right management decisions!
Professional GA4 implementation starts with a measurement plan: what decisions the data must support, which conversions matter, how leads or transactions are tracked, and how marketing channels should be evaluated. We configure GA4 and GTM events, conversion tracking, ecommerce data, consent-aware measurement, BigQuery export and dashboards where needed.
Save time with personalized reports
Track user behavior on the site
Analyze the user journey to conversion in detail
Understand the real effectiveness of each advertising channel and tool
Constantly increase the effectiveness of advertising
With a properly configured GA4 setup, your team can see which channels, campaigns and landing pages actually contribute to leads, sales and revenue.
UAMASTER works as a GA4 agency for marketing teams that need trustworthy data. We audit the current setup, fix broken events, configure GTM, connect advertising platforms, build ecommerce or lead tracking and prepare reports for CMO-level decisions.
For UK businesses, this is especially important when paid media, SEO, CRM and sales data need to be connected into one clear performance view.
End-to-end analytics connects GA4, advertising platforms, CRM, call tracking and sales data where the infrastructure allows it. This helps marketing leaders evaluate not only sessions and form submissions, but lead quality, revenue, CAC, ROAS, ROMI and the real contribution of each channel.
We will conduct an audit of your analytics system and provide recommendations and technical task for settings and data collection
We set up the analytics system, goals and visualize the data.
Google Analytics 4 + GTM.
Additional options: HotJar/Plerdy. Looker Studio. Power BI.
We configure GA4 ecommerce tracking, key events, conversion paths, CRM integrations, custom reports and data visualisation. Typical tools include Google Analytics 4, GTM, BigQuery, Looker Studio, Power BI and additional behavioural analytics where useful.
We will configure the mobile analytics system. We set goals and visualize data.
Google Firebase. Google Analytics. Amplitude. AppsFlyer. Looker Studio.
We will set up tracking of all sales, traffic and advertising in one place. We will build custom reports that will answer all your questions.
We visualize all the data you need for convenient analysis in the form of tabular reports and interactive dashboards.
Google Data Studio. Power BI.
Our web analytics team works with GA4, Google Tag Manager, BigQuery, Looker Studio, Power BI, CRM data and advertising platforms. The goal is not to collect every possible metric, but to build a measurement system that supports budget decisions, campaign optimisation and business growth.
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22
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Event-centric analytics integration enables gathering standardized data from various devices and platforms, simplifying analysis and user information acquisition, including data from advertising platforms like Google Ads.
Enhanced user identification capabilities through Device ID and Google Signals, along with more convenient setup and implementation of User ID, allow for more effective user determination and detailed behavior insights.
Advanced custom reporting capabilities (Explorations), including contextual ads, enable deeper data analysis and more precise conclusions, facilitating the achievement of property goals and informed decision-making.
Simplified event structure and the ability to configure events through the GA4 interface make analytics more accessible and convenient for users.
Advertising and revenue reporting within proprietary apps aid in evaluating the effectiveness of advertising campaigns and app profitability.
The ability to edit built-in reports provides users with greater flexibility in selecting and customizing reports to suit their needs.
Consent Mode, which takes user privacy into account, allows data collection with privacy considerations and customizes ad interactions accordingly.
The absence of query limits enables collecting large volumes of data without constraints.
Simplified cross-domain tracking setup streamlines user tracking across different domains and facilitates behavior analysis.
Automatically registered and recommended events help users quickly start using analytics without additional setup.
Data-driven attribution modeling allows for effectively determining the contribution of each marketing channel to conversions and making decisions based on objective data.
Events in setting up GA4 are various actions that users perform on your website or mobile application. These actions are automatically recognized by the system and displayed as a set of parameters that help understand when and how a particular event occurred. Upon connecting to google analytics 4 set up, automatically registered events are immediately captured, including actions such as searches, scrolling, clicks, viewing notifications, and others.
In addition to automatically registered event, custom event can also be configured. They can be divided into two types:
Recommended events. These are actions that are displayed on websites and mobile applications and are configured depending on the business sector. For example:
Custom events. These are actions whose scenarios are configured to track specific parameters not captured by automatic and recommended events. For example:
Shopify is widely recognized as one of the premier and user-friendly platforms for online commerce, facilitating the rapid creation of web stores without the necessity for extensive coding expertise.
Similar to any other website, a Shopify site necessitates analytics for effective monitoring of user engagement and transactions. In the near future, Google Analytics 4 will fulfill this function. Let’s explore the process of integrating GA4 with Shopify to commence data collection promptly.
The setup of Google Analytics 4 on Shopify via Google Tag Manager offers a convenient mechanism for data monitoring and analysis. Typically, in conventional websites, the Data Layer is employed for ecommerce configuration, enabling the gathering of purchase details and their transmission to Google Tag Manager. Nonetheless, Shopify lacks the Data Layers and variable visible to Google Tag Manager.
Consequently, it becomes imperative to furnish a code snippet for Data Layers capable of fetching purchase details from the “thank you for your order” page and relaying them to GTM.
