Evolving tracking in marketing: from privacy challenges to Artificial Intelligence opportunities

In recent years, data tracking in marketing has undergone a rapid and profound evolution, driven by significant regulatory and technological changes. Data management and analysis of user behavior have always been central to marketing strategies, but the current landscape requires a more sophisticated and privacy-compliant approach. This article analyzes the main approaches to tracking–client-side, server-side, and first-party–highlighting their peculiarities, advantages, and challenges in the context of modern marketing.

Client-side tracking: the foundation of digital marketing

Client-side tracking is the traditional starting point for data collection. It relies on the use of a pixel installed on a website, which collects information directly from the user’s browser. This approach has been the standard for years for platforms such as Google Analytics, Meta and Google Ads. The simplicity of implementation, thanks to tools such as Google Tag Manager (GTM), has made client-side accessible even to less structured companies.

With the introduction of GDPR and similar regulations in other regions of the world, it has become imperative to obtain users’ explicit consent to collect and use their data. This change has required significant adaptation of tracking tools, leading to the development of features such as consent mode, which allows users’ consents to be respected while reducing data loss, and enhanced conversions, which improve the ability to correctly attribute conversions by leveraging integrated and anonymized data. These tools represent advanced technological solutions to the challenge of reconciling privacy protection with the need for effective tracking while minimizing data loss attributable to the phase-out of third-party cookies.However, the effectiveness of client-side tracking is gradually decreasing, due to technical and regulatory limitations that make it less reliable and comprehensive.

The rise of server-side tracking: an answer to regulatory challenges

Server-side tracking has emerged as a more robust and versatile alternative to client-side. This approach involves sending data to a company-controlled intermediate server before it is transmitted to analytics or advertising platforms. Although the client-side component remains necessary to collect the initial data, server-side allows the information to be enriched, filtered, or modified before it is transmitted.

The introduction of server-side was accelerated by the need to comply with stricter regulations, such as the fall of the Privacy Shield between Europe and the United States, which imposed new standards for the transfer of personal data. In addition to improving regulatory compliance, server-side tracking offers several technical advantages:

• Improved data quality: Sensitive information can be deleted or masked to ensure greater privacy;
• Improved stability: Server-side transmitted data is less susceptible to blocking by browsers or ad-blockers;
• Performance optimization: Site loading can be faster, reducing response times and improving the user experience.

Despite the advantages, server-side tracking requires more advanced technical skills and dedicated infrastructure. In addition, initial setup can be complex and expensive, making this approach more suitable for medium- and large-sized organizations.

First-party tracking: a new frontier for data-driven marketing

The phasing out of third-party cookies and the tightening of privacy regulations are making first-party tracking a central component in the future of data-driven marketing. This approach focuses on collecting and managing a company’s proprietary data from a variety of sources, both online and offline. The key to first-party tracking is the creation of a single database that centralizes all the information collected. This database must ensure:

• Cleanliness and organization of data; information must be accurate, consistent, and ready to use;
• Adoption of a “data choice” approach, to select only data relevant to specific marketing strategies.

A key aspect of first-party tracking is “identity resolution,” or the reconciliation of data from different sources using a unique identifier, such as an email address or customer ID. For example, a customer using an in-store loyalty card can be linked to his or her online profile via the same email address, enabling integrated behavior analysis.Centralized data management allows companies to send data to advertising and analytics platforms in a more controlled manner. This reduces dependence on the “black-box” algorithms of the platforms themselves, offering more control over the signals used to optimize campaigns.

Pros and cons of approaches to tracking

Each approach has specific advantages and disadvantages that influence its adoption and effectiveness.

Client-side pros:

• Ease of implementation: Using tools such as WordPress or Shopify, setting up tracking is quick and easy. Google Tag Manager has further simplified the management of multiple pixels;
• Accessibility: Suitable even for small and medium-sized businesses with limited technical resources.

Client-side cons:

• Data loss: Technologies such as Safari’s ITP and declining third-party cookies significantly reduce collection capacity;
• Limited vision: Collects only observable behaviors on the website, without integrating offline sources.

Server-side pros:

• Stability: Server-to-server connection reduces data loss caused by client-side interruptions;
• Data control: Allows data to be filtered or enriched before transmission.

Cons of server-to-side:

• Complexity: Requires technical expertise and dedicated infrastructure;
• Partial view: While improving stability, remains limited to data collected online.

Pros of first-party tracking:

• Comprehensive view: Integrates online and offline data for a broader understanding of the customer;
• AI readiness: Facilitates the application of AI-based predictive and enrichment models.

Cons of first-party tracking:

• Technical barriers: Requires integration of data from CRM, ERP and other enterprise sources;
• High upfront costs: Implementing appropriate infrastructure can be costly.

AI Readiness and the Future of Tracking

Being AI-ready means having high-quality, accessible data. The client-side, with its limited collection capacity, does not meet the requirements for implementing advanced predictive algorithms. Server-side is an improvement, but it is the first-party approach that provides the real readiness for artificial intelligence. By centralizing data in a single database, companies can model and send high-quality signals to external platforms, optimizing campaigns and improving overall performance.