Cookieless 2026: Concrete Alternatives for Targeted Advertising

Your Meta dashboard shows 100 conversions. Google Analytics counts 75. Your CRM records 60. Which figure reflects reality? For marketers still rooted in cookie-era methods, the honest answer is: none. The world of cookie-based advertising tracking didn't just fade away — it collapsed.

In April 2025, after multiple postponements, Google surprised the industry by announcing it would not block third-party cookies by default in Chrome. Rather than a technical ban, the giant prefers to offer a “global consent prompt”, similar to Apple's App Tracking Transparency. Experts anticipate that a large majority of internet users will refuse this tracking, de facto creating an environment comparable to Safari or Firefox — which have already been blocking these trackers for years. Result: the effective reach of third-party cookies in 2026 remains extremely limited.

This shift forces brands and advertising platforms to reinvent themselves. Between the Topics API replacing FLoC, unified identifiers like UID 2.0, and the rise of contextual targeting enriched by AI, the advertising ecosystem is now adopting a hybrid approach. But what is the reality of these solutions on the ground? What strategies truly work to maintain performance while respecting privacy?

Topics API: The Anonymous Cohort as the New Standard

Google's Privacy Sandbox has buried FLoC (Federated Learning of Cohorts) in favor of the Topics API, a more transparent and less invasive approach. This system allows browsers to share between one and five weekly interest topics, selected from approximately 350 categories, without disclosing individual browsing history.

Concretely, if a user regularly visits fitness and nutrition sites, their browser can communicate the topics “Sport” and “Health” to advertisers. Advertisers can then display relevant ads without knowing precisely which sites were visited. Granularity remains intentionally limited to protect anonymity.

However, brands note lower precision than with classic third-party cookies. To compensate, they combine Topics API with other levers:

• Their hashed email databases (Customer Match on Google Ads)
• Data from their loyalty programs
• Retail media, which leverages logged purchases on e-commerce platforms

This multi-layered strategy helps maintain acceptable advertising performance, even if the fine segmentation of the past is no longer accessible. According to recent industry analyses, the adoption of Topics API is progressing slowly, with advertisers often preferring to rely first on their proprietary data before fully integrating these APIs into their technology stack.

Unified Identifiers: Unified ID 2.0 and the Programmatic Alliance

Faced with tracking fragmentation, the advertising industry has developed shared identifiers based on explicit consent. The most advanced, Unified ID 2.0 (UID2), is an open-source system supported by The Trade Desk that relies on hashed and encrypted emails, with a revocation system allowing users to withdraw their consent at any time.

Adoption of these unified IDs is gaining ground, particularly on networks that can no longer deploy third-party cookies. Several DSPs (Demand-Side Platforms) and SSPs (Supply-Side Platforms) have integrated UID2, facilitating audience matching between advertisers and publishers. Approximately 30% of major websites now use server-side tagging to transmit these identifiers, thus bypassing browser-side blocks.

“Unified identifiers make it possible to reconstruct a form of continuity in the user journey, while respecting the European regulatory framework. But their adoption remains conditional on user trust.”

The advantage of UID2 lies in its transparency: unlike opaque third-party cookies, the user understands that they are sharing their hashed email identifier in exchange for more relevant advertising experiences. Retail media platforms (Amazon, Carrefour Links, Cdiscount Advertising) extensively leverage this principle, capitalizing on their connected customer bases.

First-Party Data: The Most Valuable Resource

First-party data — collected directly by the company with user consent — has become the number one strategic asset. Unlike third-party data, it is stable, GDPR-compliant, and offers a direct view of customer behavior.

Brands are investing heavily in:

• Customer Data Platforms (CDP) to centralize and activate this data
• Server-side tracking that captures events from servers, bypassing browser blocks
• Digital loyalty programs that encourage users to log in

Cookieless advertising now requires a complete overhaul of marketing infrastructures. Companies that have not yet developed a first-party strategy find themselves in a structurally weak position: unable to accurately measure conversions, build personalized audiences, or optimize campaigns effectively.

Smaller brands, lacking large customer bases, are turning more towards contextual targeting — displaying ads based on page content rather than user profile. This method, already proven before the era of behavioral tracking, is experiencing renewed interest, now enriched by AI algorithms capable of semantically analyzing content to refine relevance.

Alternative	Description	Key Advantages
Topics API	Browsing by anonymous interest topics	Privacy-respecting, thematic targeting
Unified IDs (e.g., UID2)	Hashed and encrypted emails with consent	Journey continuity, transparency
First-party Data	Data collected directly by the brand	Stable, GDPR-compliant, direct customer view
Contextual Targeting	Ads based on page content	Effective without behavioral data
Retail Media	E-commerce platforms with logged-in audiences	Granular targeting, sales measurement

Predictive AI Models and Probabilistic Measurement

Artificial intelligence plays an increasing role in filling attribution gaps. Advertising platforms are deploying predictive models that reconstruct incomplete user journeys by relying on aggregated and anonymized data.

Google Enhanced Conversions, Meta Conversions API, and third-party solutions like Cometly or Segment use machine learning to:

• Estimate conversions not directly measured
• Attribute value to cookie-less touchpoints
• Predict conversion probability based on context

These models do not completely replace the precision of third-party cookies, but they offer a statistically robust approximation, sufficient to optimize budgets and test new creatives. Measurement becomes probabilistic rather than deterministic, a paradigm shift that marketing teams must embrace.

Server-side tracking is also an essential technical pillar. By transferring data collection from the browser to the server, brands bypass ad blockers and browser restrictions, while respecting GDPR consent via Consent Management Platforms (CMPs). This technical architecture is now recommended by industry experts to ensure optimal recovery of conversion signals.

Retail Media: The El Dorado of Logged-In Targeting

Retail media platforms are experiencing explosive growth. Amazon Ads, Cdiscount Advertising, Carrefour Links, or Fnac Darty leverage a major competitive advantage: millions of connected users whose purchases and behaviors are traceable with consent.

For advertisers, these environments offer a granularity of targeting similar to that of third-party cookies, without the regulatory constraints. A cosmetics manufacturer can precisely target buyers of similar products, measure incremental sales, and adjust bids in real-time.

Retail media is thus becoming the third source of digital advertising revenue, behind Google and Meta, and is expected to continue growing in the coming years. Brands that do not distribute their products on these platforms seek partnerships to indirectly benefit from these logged-in audiences.

The Hybrid Approach: Combining All Levers

In practice, successful advertisers no longer pit these solutions against each other, but combine them in a logic of complementarity:

1. Proprietary Data + Customer Match: to reach existing customers and lookalikes 2. Topics API: to expand reach with respectful thematic targeting 3. Unified ID 2.0: to maintain programmatic continuity on the open web 4. Retail media: to leverage logged-in audiences on marketplaces 5. AI-enriched contextual targeting: for awareness campaigns without behavioral data

This multi-channel strategy relies on a solid technical infrastructure: CDP, server-side tracking, GDPR-compliant CMP, and advanced attribution tools. Companies that anticipated this shift as early as 2023-2024 now have a significant competitive advantage.

To delve deeper into these performance analysis challenges in this new environment, consult our article on GA4 in 2026: how companies are really using it to understand how measurement tools are evolving in parallel with targeting methods.

Outlook: Towards a More Transparent Ecosystem

The transition to cookieless does not mean the end of targeted advertising, but its profound transformation. Advertisers who succeed in this new environment are those who accept three realities:

A renunciation of extreme granularity. Ultra-fine segmentation is a thing of the past. Audiences are now broader, measurements more probabilistic.

An investment in direct relationships. Building a solid first-party base requires time, quality content, and a clear value proposition to obtain consent.

Increased collaboration within the ecosystem. Unified identifiers and standardized APIs require technical cooperation between advertisers, publishers, and advertising platforms.

At the same time, regulations continue to evolve. GDPR in Europe remains strict on explicit consent, while new laws are emerging in the United States (CCPA, Virginia CDPA) and other regions. International brands must juggle a mosaic of legal frameworks, making compliance more complex but also more critical.

Companies that master these new levers — particularly by developing a B2B influence strategy to amplify their message authentically, as detailed in our analysis of B2B influencers on LinkedIn — build a lasting advantage. Authenticity and transparency become differentiating values as much as legal obligations.

Cookieless therefore does not signal the end of performing digital marketing, but marks the emergence of a more respectful, transparent, and sustainable model, where the quality of the customer relationship takes precedence over the quantity of data collected. Brands capable of creating real value for their audiences — rather than simply tracking them — will be the big winners of this transition.