GSDSI's Auto & Motorcycle Data covers 201M U.S. vehicle ownership records — automobiles and motorcycles — each carrying make, model, year, body style, fuel type, and linked owner demographics. Powers automotive conquesting, insurance targeting, aftermarket product marketing, and fleet analysis at national scale.
Product Answer Summary
Product category: Land-Based Data & Specialized Files
What it contains: Vehicle make/model/year, Owner demographics, Registration geography, Vehicle age & type
Delivery formats: CSV, TXT, XLS
Who uses it: enterprise data buyers evaluating activation, measurement, analytics, enrichment, risk, or research workflows.
Key Features
201M+ vehicle records
Monthly refresh
Insurance & auto verticals
Matchable to consumer files
Feed Specifications
Record scale: 201M vehicle-ownership records
Coverage: United States
Refresh cadence: Monthly
Delivery formats: CSV, S3, SFTP
How Auto and Motorcycle Data Is Sourced
GSDSI's Auto and Motorcycle Data is compiled from state motor vehicle registration records, warranty registration databases, and commercial data partnerships that capture vehicle ownership information across the U.S. market. Each record includes the vehicle's make, model, year, body style, and fuel type, linked to the registered owner's demographic profile including age, gender, household income estimates, and geographic location. The dataset is refreshed monthly to capture new vehicle purchases, ownership transfers, and registration renewals. Vehicle Identification Number (VIN) decoding is applied to standardize make/model/year information across states with varying registration formats, keeping data quality consistent for national-level analysis and targeting.
Common Applications for Vehicle Ownership Data
Automotive OEMs and dealership groups use vehicle ownership data for conquesting campaigns, targeting owners of competitive brands whose vehicles are approaching lease end or warranty expiration with trade-in and upgrade offers. Insurance carriers use vehicle registration data for policy acquisition targeting, risk segmentation by vehicle type and age, and portfolio analysis. Aftermarket parts and accessories companies target owners of specific vehicle makes and models with relevant product offers based on vehicle age and maintenance cycles. Financial analysts track new vehicle registration trends as economic indicators, using geographic and temporal patterns in vehicle purchases as alternative data signals for consumer spending strength and regional economic health.
How buyers diligence vehicle ownership data
Vehicle-data buyers test VIN decoding, registration freshness, make/model/year normalization, ownership linkage, and stale-ownership risk.
Product-specific diligence checks
Review registration cadence, transfer lag, and state coverage.
Validate VIN-derived make, model, year, fuel type, and body style.
Test owner/address matching against known seeds.
Confirm automotive marketing, insurance prospecting, or analytics scope.