
To better compete in a crowded market, an automotive services brand implemented Epsilon’s CDP to unify customer data across in-store, digital and vehicle-level touchpoints.
This created a 360-degree view of each customer, enriched with vehicle data, enabling more precise reach and personalization at the individual level.
With this foundation, the brand could move from generalized campaigns to more data-driven engagement.

The brand needed to deliver more relevant, one-on-one experiences to both new and existing customers while increasing loyalty, retention and overall profitability.
However, disconnected data across channels and touchpoints made it difficult to fully understand customer needs or deliver consistent, personalized interactions.

By unifying data and applying advanced modeling, the brand significantly improved engagement and performance.
These gains reflect more precise targeting and better alignment between offers and customer needs.

With unified data in place, the brand developed advanced models to predict:
These insights were combined with real-time decisioning to tailor offers, timing and channel selection—helping maximize both customer value and efficiency.
Crucially, customer data was mapped at the individual level, including vehicle identifiers, enabling more accurate targeting and personalization.

With a more precise understanding of customer needs, the brand improved how it allocated offers and promotions.
This shift established a more scalable, data-driven approach to customer engagement.