Scoring Attributes
See the borrowers credit scores can’t.
Enhance accuracy of your risk models using transaction data.
Reach new levels of predictive power.
Reach new levels of predictive power.
Data Set
Train models on real financial behavior.
Scoring is easier: Built on tens of millions of transactions across diverse consumer segments.
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K-Score
Predict defaults before they happen.
Center decisions on transaction signals that move faster than credit scores.
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Growth
Unlock new growth opportunities.
Approve subprime, new-to-credit, and thin-files with data that goes deeper.
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Efficiency
Eliminate manual data interpretation.
Drop model-ready attributes into your existing risk stack without custom data science.
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Compliance
Lend fairly and compliantly, at scale.
Every attribute is purpose-built to reduce disparate impact across borrower segments.
Learn more2,200+ transaction-based attributes that power smarter, fairer lending decisions.
2,200+ transaction-based attributes that power smarter, fairer lending decisions.
Real results. Real Truv experiences.
Real results. Real Truv experiences.
Scoring Attributes FAQs.
Scoring Attributes FAQs.
Consumer lenders and auto lenders.
Truv provides 2,200+ transaction-based attributes to enhance lenders’ risk models, offering insights into financial activity, repayment willingness, and loan qualification potential.
By analyzing tens of millions of transactions across consumer segments, Truv helps lenders predict default rates, reach underserved markets, and identify qualified applicants with low or no credit scores.
The platform includes a range of attributes, including: financial activity attributes, loan activity attributes, household expenditure attributes, balance attributes, and income-related attributes.
Truv eliminates manual data interpretation, provides comprehensive transaction insights, and offers FCRA-compliant attributes trained across diverse consumer segments.