The Challenge: Fragmented Data Across Borders

The client operated 12 physical stores across Spain and Portugal with a growing e-commerce presence. Customer data was trapped in three separate systems: a legacy POS, an outdated e-commerce platform, and a standalone email tool.

This fragmentation meant that a customer buying online in Madrid had no connection to their in-store visit in Lisbon. Marketing teams struggled to build accurate customer profiles, leading to generic campaigns and wasted ad spend. The primary pain point was the inability to track the full customer journey across channels.

The Solution: Centralized Data Architecture

We implemented a unified Customer Data Platform (CDP) to serve as the single source of truth. The project focused on connecting all data sources in real-time without replacing the existing POS or e-commerce infrastructure.

Key steps included:

  • Data Mapping: Identified 150+ data points across all systems.
  • Integration: Built API connectors for the POS, e-commerce backend, and CRM.
  • Identity Resolution: Created unique customer IDs to merge online and offline behaviors.

The technical setup took six weeks. We prioritized data quality, deduplicating 300,000 contacts and resolving 12,000 duplicate profiles.

Implementation: From Silos to Segmentation

Once data flowed into the CDP, we built dynamic segments based on purchase frequency, channel preference, and product affinity. This allowed marketing to move from static lists to behavioral triggers.

We configured automated journeys for three core scenarios:

  • Win-back: Triggered after 90 days of inactivity with a personalized discount.
  • Cross-sell: Recommended complementary products based on recent purchases.
  • Loyalty: Exclusive offers for high-value customers in specific regions.

The team received training on the new dashboard, enabling them to monitor campaign performance in real-time.

Results: Measurable Impact on Revenue

Within six months of launch, the unified CDP delivered clear improvements in engagement and revenue. The ability to target customers with relevant messages across channels reduced churn and increased lifetime value.

Key performance indicators showed:

  • 22% increase in repeat purchase rate.
  • 18% higher email open rates due to personalization.
  • 15% reduction in customer acquisition cost through better retargeting.

The client gained full visibility into customer behavior, allowing for data-driven decisions rather than guesswork.

Key Learnings: Data Quality is the Foundation

The most critical success factor was the initial data cleanup. Without deduplication and standardization, the CDP would have propagated errors rather than solving them.

Another key insight was the importance of cross-functional alignment. Marketing, IT, and store managers needed a shared understanding of data definitions to ensure consistent usage.

Final takeaway: A CDP is not just a tech tool; it is an organizational change. Success depends on treating data as a shared asset rather than a departmental silo.

Results

  • +22% – Repeat Purchase Rate
  • +18% – Email Open Rate
  • -15% – Customer Acquisition Cost
  • 300k – Unified Contacts