The length of the journey doesn’t diminish the importance of taking the right steps ahead, now

The Ideal: A Unified Customer Journey Across All Retail Touchpoints

🎯 The Ultimate Goal

Imagine a world where brands can track and understand each customer’s complete journey across every retail interaction—measuring behavior, preferences, and purchase patterns across Amazon, Tesco, Zalando, local pharmacies, and every other touchpoint where products are discovered, considered, and purchased.

This holistic vision represents the holy grail of retail media: a complete, unified view of customer behavior that enables brands to optimize product selection, pricing strategies, and marketing efficiency across the entire retail ecosystem.

The Complete Customer Understanding

In this ideal state, brands would possess:

🔍 Cross-Retailer Journey Mapping

Track individual customers as they research products on Amazon, compare prices at Carrefour, read reviews on specialty retailers, and ultimately purchase through their preferred channel. Understanding not just what they bought, but why they chose that specific retailer for that specific purchase occasion.

📊 Dynamic Price Sensitivity Analysis

Measure how the same customer responds to different price points across retailers, understanding when they prioritize convenience (premium pricing at local stores), value (discount retailers), or experience (premium retailers). This enables sophisticated price elasticity modeling by customer segment and retail channel.

🛍️ Product Selection Optimization

Determine which product variants, pack sizes, and SKUs resonate with specific customer segments across different retail environments. Understanding that the same customer might buy premium organic products at Whole Foods but choose value options at discount retailers based on purchase occasion.

⚡ Real-Time Efficiency Optimization

Dynamically allocate marketing spend based on where each customer is most likely to convert, avoiding wasteful overlap while ensuring comprehensive reach. If a customer typically researches on Amazon but purchases at local stores, marketing investment shifts accordingly.

The Business Impact Vision

With complete cross-retailer customer understanding, brands could achieve:

• Perfect Retail Media Allocation: Invest marketing dollars exactly where each customer segment is most likely to convert
• Precision Product Strategy: Launch the right products through the right retailers for the right customer segments
• Dynamic Pricing Optimization: Adjust pricing strategies based on real customer price sensitivity across channels
• Elimination of Marketing Waste: End duplicate targeting and optimize for true incremental reach and conversion
• Customer Lifetime Value Maximization: Understand total customer value across all retail relationships

The Promise: Brands would move from fragmented, retailer-specific campaigns to unified, customer-centric strategies that optimize total business outcomes rather than individual channel performance.

The Reality: Technical and Regulatory Blockers

Despite the compelling vision, multiple fundamental barriers prevent this holistic customer view from becoming reality in today’s market.

Technical Infrastructure Limitations

🏰 Retailer Data Silos

The Core Problem: Each retailer operates as a data fortress, viewing customer information as their primary competitive advantage.

Current Reality: Amazon, Tesco, Zalando, and other retailers maintain completely isolated customer databases with incompatible data formats, measurement methodologies, and attribution models. Cross-retailer data sharing would require these competitors to surrender their most valuable asset.

Technical Requirement: Standardized data formats, unified customer identifiers, and collaborative measurement frameworks—all requiring unprecedented industry cooperation.

🔐 Identity Resolution Complexity

The Challenge: Connecting the same customer across different retailers without shared identifiers.

Current Limitations: Cookie deprecation, device switching, privacy-conscious consumers, and fragmented login behaviors make deterministic matching nearly impossible. Probabilistic matching achieves only 30-50% accuracy and declining.

Technical Requirement: Unified identity solutions requiring customer opt-in, retailer cooperation, and sophisticated privacy-preserving technologies that don’t yet exist at scale.

📱 Platform Fragmentation

The Ecosystem Problem: Each retailer has invested billions in proprietary technology stacks optimized for their business model.

Current State: Amazon’s advertising platform, Criteo’s retail media technology, individual retailer solutions, and emerging platforms all operate with different APIs, measurement standards, and optimization algorithms.

Integration Requirement: Unified APIs, standardized measurement, and interoperable systems requiring massive industry-wide technical harmonization.

Regulatory and Privacy Barriers

⚖️ GDPR and Privacy Legislation

The Legal Reality: European privacy laws explicitly restrict cross-company data sharing without explicit consumer consent.

Current Impact: Sharing customer data between retailers requires individual opt-in consent for each specific use case. Most consumers decline such permissions, and retailers face significant legal risks for non-compliance.

Compliance Requirement: Privacy-preserving technologies that enable insights without exposing individual customer data—technically complex and legally uncertain.

🌍 Global Regulatory Fragmentation

The Complexity: Different privacy laws across markets create compliance nightmares for global brands.

Current Challenge: GDPR in Europe, CCPA in California, emerging regulations in Asia-Pacific, and varying national implementations create incompatible requirements for customer data handling.

Harmonization Need: Global regulatory alignment or sophisticated multi-jurisdiction compliance frameworks.

Business Model Conflicts

💰 Competitive Advantage Protection

The Incentive Problem: Retailers have no business incentive to enable cross-retailer customer understanding.

Strategic Reality: Customer data is how retailers differentiate their advertising offerings and justify premium pricing. Sharing this data would commoditize their retail media platforms and reduce their competitive positioning.

Alignment Challenge: Creating value propositions that incentivize retailer cooperation without undermining their competitive advantages.

The Fundamental Tension: The vision of unified customer understanding directly conflicts with the competitive dynamics that drive retail media growth. Retailers succeed by offering exclusive access to their customer insights—the very exclusivity that prevents holistic measurement.

The Evolution Path: Practical Steps Toward the Vision

While the complete holistic vision remains distant, brands can take evolutionary steps that move closer to unified customer understanding within current technical and regulatory constraints.

Phase 1: Enhanced Segmentation and Specialization (0-12 Months)

🎯 Retailer-Specific Customer Profiling

Approach: Deep-dive into each retailer’s endemic customer base to understand their unique characteristics, shopping behaviors, and preferences.

• Analyze first-party data provided by each retailer to identify customer segments that naturally gravitate toward specific retail environments
• Map product categories, price points, and shopping occasions that align with each retailer’s customer base
• Develop retailer-specific personas that guide product selection and marketing strategy

Immediate Value: Reduce overlap through strategic specialization rather than technical deduplication.

📊 Advanced Attribution Modeling

Approach: Implement sophisticated statistical models that infer cross-retailer influence without direct customer matching.

• Use geographic, demographic, and temporal correlations to estimate customer overlap
• Implement holdout testing across retailers to measure incremental impact
• Develop category-level attribution models that account for cross-retailer influence

Immediate Value: Better understanding of true incrementality and marketing efficiency.

Phase 2: Privacy-Safe Collaboration (12-24 Months)

🔐 Clean Room Partnerships

Approach: Leverage emerging privacy-safe technologies for limited cross-retailer insights.

• Participate in retailer clean room initiatives (Amazon Marketing Cloud, Google Ads Data Hub) where available
• Develop aggregate-level insights about customer journey patterns without individual identification
• Test unified ID solutions with cooperative retailers in limited pilot programs

Evolution Value: First steps toward technical infrastructure for cross-retailer measurement.

🤝 Strategic Retailer Partnerships

Approach: Negotiate enhanced data sharing agreements with key retail partners.

• Request anonymized, aggregate customer journey data as part of strategic partnership agreements
• Pilot cross-retailer measurement programs with non-competing retailers
• Develop shared value propositions that incentivize retailer cooperation

Evolution Value: Build foundation for more sophisticated collaboration as technology matures.

Phase 3: Advanced Integration (24-36 Months)

🧠 AI-Powered Journey Prediction

Approach: Use machine learning to predict customer behavior across retailers without direct tracking.

• Develop predictive models based on purchase patterns, seasonal behaviors, and demographic correlations
• Implement dynamic budget allocation algorithms that optimize across retailer portfolio
• Test federated learning approaches where available

Future Value: Approach holistic optimization through prediction rather than direct measurement.

🔄 Platform Standardization Advocacy

Approach: Actively participate in industry initiatives driving measurement standardization.

• Support IAB Europe retail media measurement standards development
• Participate in industry working groups focused on cross-platform measurement
• Advocate for standardized APIs and data formats across retail media platforms

Industry Value: Contribute to ecosystem development that benefits all participants.

🗓️ Realistic Timeline Expectations

Years 1-2: Enhanced retailer specialization and improved attribution modeling

Years 3-5: Limited cross-retailer insights through privacy-safe technologies

Years 5-10: Meaningful cross-retailer journey understanding with regulatory evolution

10+ Years: Possible approach to holistic customer view with industry transformation

What Brands Should Demand from Retailers

To advance toward the holistic vision, brands must strategically negotiate for specific capabilities and data access that lay the groundwork for future customer understanding.

Immediate Requests (Available Today)

📈 Enhanced Attribution Data

• Customer Journey Insights: Anonymized data showing how customers discovered, researched, and purchased products within the retailer ecosystem
• Cross-Channel Attribution: Understanding how retail media influences in-store purchases and vice versa
• Competitive Context: Performance benchmarking against category averages and key competitors

🎯 Audience Segmentation Detail

• Customer Personas: Detailed profiles of customer segments that shop specific categories or price points
• Shopping Behavior Analysis: Understanding of when, why, and how different customer segments engage with the retailer
• Lifecycle Stage Mapping: Insights into customer acquisition, retention, and churn patterns

Medium-Term Negotiations (12-24 Months)

🔐 Privacy-Safe Collaboration

• Clean Room Access: Participation in retailer privacy-safe analytics platforms for cross-campaign insights
• Aggregate Journey Data: Statistical insights about customer movement between online and offline, different categories, and purchase occasions
• Cohort Analysis: Understanding customer behavior changes over time without individual identification

📊 Standardized Measurement

• IAB Compliance: Adoption of industry-standard measurement frameworks for comparable cross-retailer analysis
• API Standardization: Consistent data formats and reporting structures across different retail media platforms
• Third-Party Verification: Independent measurement verification for attribution and incrementality claims

Long-Term Strategic Partnerships (24+ Months)

🤝 Cross-Retailer Pilot Programs

• Non-Competing Collaboration: Joint measurement initiatives with retailers in different categories or geographies
• Unified ID Testing: Participation in industry initiatives for privacy-compliant customer identification
• Federated Learning Pilots: Experimental programs for cross-retailer insights without data sharing

Negotiation Strategy Framework

🎯 Value Exchange Approach

Position data requests as mutual value creation rather than one-sided demands:

• Category Growth: Enhanced customer understanding drives category expansion benefiting retailer revenue
• Innovation Partnership: Better insights enable more relevant product development and launches
• Marketing Efficiency: Reduced waste and improved targeting benefits retailer customer experience
• Competitive Advantage: Advanced analytics capabilities differentiate progressive retailers

📋 Phased Implementation

Structure requests as progressive partnership evolution:

• Proof of Value: Start with limited data sharing to demonstrate mutual benefits
• Success Metrics: Establish clear KPIs for partnership value and data utility
• Expansion Path: Create roadmap for enhanced collaboration based on initial success
• Industry Leadership: Position early adopters as retail media innovation leaders

Conclusion: The Path Forward

The vision of unified customer understanding across all retail touchpoints remains compelling but distant. Current technical limitations, regulatory constraints, and competitive dynamics prevent true cross-retailer customer tracking and optimization.

The Strategic Reality

Brands must accept that perfect efficiency through complete customer deduplication is not achievable today. Instead, the focus should shift to:

• Strategic Specialization: Optimize each retailer relationship for their endemic customer strengths
• Sophisticated Attribution: Develop statistical models that approximate cross-retailer influence
• Progressive Partnership: Negotiate incremental data access that builds toward future capabilities
• Industry Advocacy: Support standardization initiatives that benefit the entire ecosystem

The Long-Term Opportunity

While complete customer unification may take a decade or more, brands that begin building the foundation today—through enhanced retailer partnerships, privacy-safe collaboration, and advanced analytics—will be positioned to capitalize as enabling technologies mature.

The Bottom Line: The holistic retail media vision is worth pursuing not because it’s achievable today, but because the journey toward it drives more sophisticated customer understanding, better retailer partnerships, and improved marketing efficiency. Progress, not perfection, should be the goal.