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Land-Based Data & Consumer Intelligence

Auto & Motorcycle Data

Vehicle ownership records including make, model, and year for targeting and insurance.

Since 2018

Privacy-safe enterprise data

VOSB & SDVOSB

U.S. Veteran-Owned, Service-Disabled

SCC Transfers

EU/UK/CH per privacy policy

GDPR · CCPA · CPRA

Consent-first data sourcing

Overview

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.

Need an API key + JSON sample?

For technical evaluation, we can provide a sample payload, schema notes, and delivery options (S3/SFTP/Snowflake) aligned to your workflow.

Data Types

  • Vehicle make/model/year
  • Owner demographics
  • Registration geography
  • Vehicle age & type

Delivery Formats

CSVTXTXLS

Key Features

  • 201M+ vehicle records
  • Monthly refresh
  • Insurance & auto verticals
  • Matchable to consumer files

Sample fields

A representative slice of the Auto & Motorcycle Data schema. The data dictionary shared during evaluation lists every field with its type, nullability, join keys, and refresh cadence.

FieldWhat it contains
vinVehicle Identification Number when available for the record.
makeNormalized vehicle manufacturer.
modelNormalized vehicle model.
model_yearModel year decoded from the vehicle record.
body_styleNormalized automobile or motorcycle body style.
fuel_typeRecorded or decoded vehicle fuel type.
owner_idPseudonymous linkage to the associated owner record.
registration_stateUS state associated with the vehicle registration.

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 usually test VIN decoding, registration freshness, make/model/year normalization, ownership linkage, and whether the feed can support conquesting, insurance, or aftermarket segmentation without stale ownership.

  • Review registration refresh cadence, ownership-transfer lag, and state-level coverage.
  • Validate VIN-derived make, model, year, fuel type, body style, and motorcycle handling.
  • Test owner/address matching against a known seed before production append.
  • Confirm permitted uses for automotive marketing, insurance prospecting, or analytics.

Frequently asked questions about Auto & Motorcycle Data

What's in the Auto & Motorcycle Ownership File?

201M US vehicle-ownership records: VIN-level make, model, year, body style, lien status where available, ownership tenure, and modeled in-market and lease-end propensity scores. Joinable to the consumer file for household garage composition and lifestyle overlays.

Who can license this data?

OEMs, dealer networks, automotive marketing agencies, insurance carriers (for permitted DPPA uses), and roadside / warranty providers. Permitted-use validation under the Driver's Privacy Protection Act is part of standard onboarding.

Are EV-specific attributes available?

Yes. EV-ownership flags, household EV-eligibility scores (charging infrastructure proximity, garage availability), EV-intent signals (web behavior + auto file), and modeled charge-pattern affinity are available as overlays.

Can it be combined with location data?

Yes. Household-level join. Standard bundles include dealer foot-traffic measurement, EV-charger utilization, service-recapture audiences, and conquest audiences (households who own a competitor make/model in your service area).

What's the refresh cadence?

Monthly full-file refresh with weekly change-deltas for new registrations, transfers, and lien-status updates. Custom cadence (daily or near-real-time) is available via the GSDSI API for in-market scoring use cases.

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