Which channel should I invest more in?and in a data-driven manner address corporate marketing investments. The ultimate goal of Analytics has in fact always been to make online businesses grow through data and even Google Analytics 4. The latest version/evolution of the platform, maintains and greatly enhances this goal.
Why Google introduced GA4
what are the benefits In recent years, user behavior and navigation methods have changed considerably. In today’s measurement landscape, companies face new challenges in understanding their customers’ complex, cross-platform journeys. All while giving prioritizing privacy. Think of the incredible development of corporate web applications that can be downloaded to mobile phones or the ever-increasing interest, on the part of users and the Privacy Guarantor, in the management of cookies.
To paraphrase Google, previous versions of Analytics were adapted to a generation of online measurements anchored Canada Business Fax List almost exclusively to desktop versions of websites, independent sessions that did not take into account the use of multiple platforms (for example I browse on my computer, then continue on my mobile, then I book on the app) and data more easily observable from cookies.
This measurement methodology is fast becoming obsolete. Instead, Analytics 4 has the flexibility to measure many different types of data, delivering an advanced analytics experience designed for the future. It allows businesses to see unified user journeys across their websites and apps.
Use Google’s machine learning technology
To surface and predict new insights, and best of all. It’s designed to keep pace with a changing ecosystem. All in respect of privacy. But what are the main advantages offered by this version, then? Let’s see them in detail. Improved return on investment GA4 uses data-driven attribution to analyze the full impact of marketing along the customer journey. Give attribution credit beyond just the last click, helping to understand how ID Lists marketing activities collectively influence conversions. User and conversions while taking into account business needs and compliance with new country-level privacy controls. It allows you to manage and minimize the collection of user-level data. Such as cookies and metadata, while preserving key measurement capabilities. Machine learning systems and predictive insights Machine learning generates sophisticated predictive insights into user behavior and conversions. Creates new audiences of users who are likely to buy or leave, and automatically surface critical insights to improve marketing. Seamless integration with other Google Marketing tools.
