Maximizing CDP ROI: Morgan Automotive Group's 4x Identity Expansion
This ebook explores how Morgan Automotive Group unlocked the full value of their existing data stack by adding an identity resolution layer, growing identified website visitors by 4× and full-path attribution visibility by more than 312%. Learn how deterministic and probabilistic identity matching can transform what your CDP can see, segment, and activate.
Most dealerships invest heavily in CRMs, CDPs, DMS integrations, and marketing technology, yet the majority of website traffic remains anonymous and unusable. Morgan Automotive Group faced this exact challenge. Despite having a modern data stack in place, their CDP could only identify and activate on a small fraction of total website visitors, limiting personalization, audience targeting, and attribution.
By implementing an identity resolution layer that combined deterministic and probabilistic matching, Morgan Automotive dramatically expanded customer visibility across its digital ecosystem. Anonymous website sessions were resolved against existing customer data and transformed into unified customer profiles that could be activated within their CDP.
The results were significant:
- 4× increase in identified website visitors
- Growth from approximately 9,300 to more than 44,600 known customer profiles
- Over 300% improvement in full-path attribution visibility
- Greater audience coverage for segmentation, personalization, and activation
Most importantly, Morgan Automotive did not replace its technology stack. Instead, it unlocked more value from the systems already in place by making more customer interactions identifiable and actionable.
Download the full case study to learn how Morgan Automotive expanded identity coverage, improved attribution, and transformed anonymous website traffic into actionable customer intelligence.
