The end of third-party cookies: Why German companies need to switch to privacy-compliant analytics now

22.11.2025
Third-party cookies are disappearing, Google's Privacy Sandbox has failed, and now many companies are facing the question: How do I even measure reliably anymore? The good news: there are alternatives that aren't just GDPR-compliant, but also deliver better data. Those who rethink now, win.
Quelle: bchic.de

Third-party cookies are history, but what comes next?

Browsers are blocking third-party cookies. Google's Privacy Sandbox has failed. For companies that rely on precise analytics, a fundamental pillar is crumbling right now, and many don't know how to deal with it.

Why third-party cookies are disappearing in the first place

Third-party cookies were the invisible foundation of digital advertising for years. They made it possible to track users across different websites, optimize campaigns, and attribute conversions. The problem was never the technology itself, but how it was used. Ad networks built detailed profiles without users truly understanding what was happening in the background.

Apple started systematically blocking third-party cookies in 2017 with Intelligent Tracking Prevention (ITP) in Safari. Mozilla followed with Firefox. Google Chrome, the dominant browser in Germany with over 60% market share, announced it would phase out third-party cookies gradually, even though the timeline keeps shifting. The direction is clear: the old tracking model no longer works.

What remains are companies suddenly discovering that their analytics data is incomplete, their retargeting campaigns are running into the void, and their attribution models no longer work. The question isn't whether you need to adapt, but how.

The Privacy Sandbox has failed

Google tried to find a middle ground with the Privacy Sandbox: less tracking, but still ad measurement. The idea sounded reasonable on paper. APIs like Topics, Attribution Reporting, and Protected Audience were supposed to deliver aggregated data without tracking individual users across websites. The browser would decide what information gets shared, not the ad networks.

After five years of development, countless tests, and intense debates, the project has failed. In October 2025, Google officially discontinued the Privacy Sandbox and pulled ten APIs, including exactly those that formed the initiative's core. Only a few technical building blocks remain: CHIPS for isolated cookies, FedCM for privacy-friendly logins, and Private State Tokens for bot traffic prevention.

What went wrong? The APIs were complex and difficult to implement. Advertisers and publishers were skeptical because the data was too coarsely aggregated. Regulators in Europe had antitrust concerns. And Google itself had already announced the year before that it wouldn't block third-party cookies in Chrome after all, which pulled the rug out from under the Privacy Sandbox.

The key takeaway: there's no magic technical solution from the big platforms that solves the tracking problem for everyone. If you've been waiting for Google, Apple, or Mozilla to sort this out, you need to act now.

First-party data and why server-side tracking is the right approach

While third-party cookies are disappearing, first-party cookies remain functional. All major browsers still allow them because websites need them for basic functions like sessions, logins, and preferences. Chrome, Firefox, and Safari treat them differently than third-party cookies. For analytics, this means: if you collect data directly on your own domain, you're significantly less affected by browser restrictions.

But there are differences in implementation here too. Classic client-side tracking, where JavaScript runs in the browser and sends data directly to an analytics service, has vulnerabilities. Safari limits the lifespan of first-party cookies to seven days when they're set via JavaScript. Ad blockers block known analytics scripts. The result is data gaps that add up over time.

Server-side tracking takes a different approach: data is processed on your own server first before being forwarded to the analytics system. Cookies are set server-side and aren't affected by ITP restrictions. Requests come from your own domain, not from external tracking servers, making them less vulnerable to ad blockers. Most importantly, you have complete control over what data goes where. This is a crucial point for GDPR compliance.

A practical example: when a user makes a purchase on your website, the event is first sent to your server. There, you can decide whether and in what form this information gets passed to your analytics tool. You can anonymize IP addresses, filter personal data, or add additional context information from your database. Classic client-side tracking doesn't offer this flexibility.

From individual profiles to behavioral patterns

The bigger change isn't technical, but conceptual. Analytics works even without seamless user profiles if you ask the right questions. Instead of knowing that a specific user was on your website yesterday, came back through an ad today, and might buy tomorrow, it's about recognizing patterns.

Which customer journeys typically lead to conversions? Which content brings users back to the website? Which channels deliver qualified traffic that actually converts? These questions can be answered with aggregated data. Modern analytics systems use machine learning to make predictions from these patterns without tracking individual users long-term.

This isn't a compromise, but often the better approach. Individual profiles were always incomplete and error-prone. Users switch devices, delete cookies, use private browsing modes. Pattern recognition at an aggregated level is more robust and delivers more meaningful insights for strategic decisions.

What this means for companies in Germany

Germany is in a unique situation here. GDPR sets strict boundaries, data protection authorities scrutinize closely, and users are more sensitive than in many other markets. At the same time, pressure is growing to work data-driven. Marketing budgets need to justify themselves, conversions need to be measurable, customer experience needs to be optimized.

The answer isn't to lower requirements, but to use tools that take both sides seriously. Server-side tracking with first-party data, well-designed consent management systems, and analytics platforms built from the ground up for the European market aren't a theoretical future. They're already available and in use.

Those who switch now gain an advantage. Data quality improves, the risk of legal issues decreases, and user trust increases. It's an investment that pays off long-term.

Conclusion: Analytics reimagined

The end of third-party cookies isn't a step backward, but an overdue correction. It forces the industry to abandon tracking methods that were never truly in users' interests and shift to more sustainable approaches. First-party data, server-side tracking, and pattern recognition aren't just GDPR-compliant. They're also technically more robust and deliver better insights.

The companies that act now are positioning themselves for a future where privacy and precise analytics are no longer opposites.

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