In-market buyer probability, mapped to model and dealer.
OEMs, dealer groups, and finance arms use predictive intelligence to identify in-market vehicle buyers, model-level intent, and dealer-proximity probability. The result: dramatic improvement in test-drive cost and lead-to-close economics.
What makes Automotive different.
In-market probability
Behavioral signals correlated with active vehicle consideration within a defined purchase window.
Model-level intent
Specificity at the make/model level, not just category-level interest.
Decay, velocity, and cost — measured.
Per-vertical curves derived from the platform's calibrated model output. Industry averages overlaid for reference.
Hours since first intent signal
Days from first contact
Traditional vs. predictive within the vertical
Inside a deployment
Mid-market lender lifts ROAS 3.1x with behavioral risk + intent overlay
Behavioral risk scoring integrated with intent signals produced cleaner top-of-funnel for a consumer lender. The combined model reduced underwriting waste 38% and lifted return on ad spend 3.1x within two quarters.
Supporting research & guides
dealer prospect intelligence
ev buyer intent data
luxury vehicle buyer signals
fleet acquisition targeting
Common questions
Can you target by dealer geography?+
Yes. Dealer-proximity probability is a core signal class.
Predictive intelligence · enterprise onboarding
Move from list-buying to probability-buying.
Engage your account team for a calibrated intelligence estimate, methodology walkthrough, and a sandbox environment scored against your own audience.