From Anonymous Traffic to Identified Buyers: Maximizing CDP ROI with Identity Resolution
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 automotive dealerships have invested in the tools: a CDP, a CRM, and a DMS. What they haven't solved is identity. Without knowing who is actually on your website, even the most sophisticated platform can only act on a fraction of real customer activity. At Launch Labs, we've seen this gap firsthand. When Morgan Automotive Group came to us, their CDP was functioning exactly as designed. The problem wasn't the platform; it was that 90% of their website visitors remained anonymous, invisible to the very system built to engage them
By implementing a combined deterministic and probabilistic identity resolution layer, Morgan Automotive expanded their CDP's visibility from roughly 10% to 40% of website visitors. This grew their pool of known, addressable users from 9,300 to more than 44,600 and increased full-path attribution visibility by 312%, connecting digital touchpoints to in-store outcomes for the first time.
Get the full story, methodology, and results — download the ebook today.
