Data Details
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Data Overview
TransUnion’s US Auto data set includes auto loan balance, auto lease term end, and TransUnion’s proprietary auto loan and auto loan refinance in-market propensity models, which use consumer finance data to predict whether a consumer may be in market for a vehicle or refinance loan. Data is anonymized and updated quarterly. It is then aggregated at the ZIP+4 level. Use this data for insights into expected vehicle shoppers at a geographic level.
TransUnion’s Auto data set includes:
Most Likely to Apply for an Auto Loan
Lowest Auto Loan Balance
Highest Auto Loan Balance
Auto Loan Refinance In Market
Auto Lease Term Ends in 3 Months or Less
Auto Lease Term Ends in 6 Months or Less
Auto Lease Term Ends in 9 Months or Less
Auto Lease Term Ends in 12 Months or Less
TransUnion’s proprietary auto loan and auto loan refinance in-market propensity models use consumer finance data to predict whether a consumer may be in market for a vehicle or refinance loan. Data is anonymized and updated quarterly. It is then aggregated at the ZIP+4 level. Use this data for insights into expected vehicle shoppers at a geographic level. Subscribers will have access to a refreshed quarterly file and a data dictionary that lists and defines the attributes in the data set.
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About TransUnion
As a global information company, sourcing data and linking it together is in TransUnion’s DNA. TransUnion’s data accuracy, stewardship, and infrastructures are the foundation for our differentiation:
Accurate and Robust “Truth Set” – Consumer data for nearly every market-active adult in the US – not acquired from surveys, panels or anonymous online behavior – form our truth set, which we marry with additional identifiers and attributes to match and link to resolve to a single identity profile
Credible and Compliant Partner – An established and regulated Data Steward for the last 50 years trusted by some of the largest providers of financial services and insurance products to handle consumer information in a safe and compliant manner
Rigorous Data Science – Expertise to manage regulated and unregulated data sets across financial services, insurance, property data, small business and more, and the capabilities to compliantly match and model into valuable audiences for marketers
Scalable Data Infrastructure- A precision framework that enables the organization and transformation of complex and disparate big data sets into a consumer-centric view that secures consumer information while preserving data integrity
Security & Matching
Scuba Cleanroom Compatible:
Yes
Geo-locked:
Yes
Row Level Access:
Yes
