Morgan Automotive Group Case Study

Morgan Automotive Group invested heavily in building a modern data stack, including an enterprise CDP designed to unify customer data and improve marketing performance. From a systems perspective, they had everything in place. In practice, a critical structural limitation emerged: roughly 90% of website visitors remained completely anonymous. Traditional tracking depends on low-frequency, high-intent actions like form fills, inbound calls, and email clicks, which most visitors never take. The CDP was left functionally blind to the vast majority of traffic, resulting in fragmented customer journeys, incomplete data for segmentation and personalization, and creating a ceiling on the return from its investments in customer data and marketing technology.

To remove this performance ceiling, Morgan Automotive implemented FocalGraph Connect, an identity resolution solution that plugs an identity graph into the group's existing CDP to recognize more of the visitors it is missing today. By layering probabilistic identity resolution on top of the deterministic customer records already stored in its CRM, DMS, and CDP, Morgan Automotive increased identifiable website traffic nearly fourfold. FocalGraph Connect continuously evaluated anonymous website activity against known customer records using device, behavioral, and historical signals. Resolved identities were then passed back into the CDP as unified customer profiles, allowing the organization to activate a much larger share of its traffic for segmentation, personalization, and attribution.