What is CreditVision

Broader and deeper consumer views from sophisticated analytics.

TransUnion CreditVision is a new suite of solutions that enables more precise lending decisions based on revolutionary new consumer credit data and the enhanced ability to identify specific credit trends. Enriched data and analytics provide a more comprehensive view of consumer performance, so you can make better marketing, risk and collections decisions.

What is CreditVision?

Enable more precise lending decisions with our flexible and predictive CreditVision Premium Algorithms. Use them to gain the enhanced ability to identify specific credit trends and understand key consumer behaviors.

  • Revolver: Improve segmentation by assigning more effective treatment strategies. Bankcard and retail tradelines are defined as transacting, revolving or inactive for the previous 24 months. Revolver algorithms are built in combination with historical credit limits, as well as balances and payments at the tradeline and aggregated to the consumer level.
  • Payment: Use payment amount to evaluate how consumers manage monthly obligations (e.g., actual-to-minimum payment ratios, auto prepayments).
  • Balance Magnitude: Better evaluate future credit risk by capturing the direction of change in consumer balances over time. Balance Magnitude algorithms measure the direction and recency of balance change over the past 24 months.
  • Wallet Share: Gain insight into how consumers build and move balances across bankcards and retail cards over time. Wallet Share algorithms capture bankcard trade activity indicative of significant changes in balance from month to month.
  • Spend: Determine consumer spend to gain valuable insights into consumer behaviour, and refine risk and marketing strategies. Spend algorithms analyze customer spending patterns, such as aggregate wallet spend, seasonal spend patterns and year-over-year spending trends.

Discover how to gain knowledge on consumer credit changes.

Find out more

Learn more about CreditVision Premium Algorithms

Creditvision Premium Algorithms
Download now

The CreditVision Risk Score utilizes enriched consumer credit data elements to give an expanded view of consumers. It leverages new CreditVision data not considered in traditional risk models including historical account data like payment ratios, directional changes in balances and shifts in utilization levels. Better yet, these new data elements fuel a score that is far more predictive of future consumer performance than traditional ones.

Find out how better data allows more confident consumer credit decisions.

Learn more

Leveraging more consumer information than ever before, the CreditVision Bankruptcy Score utilizes enriched credit elements like payment ratios, balance movement trends and shifts in utilization levels to provide a powerful new tool for predicting consumer bankruptcies and proposals. This score outperforms traditional bankruptcy scores in identifying consumers likely to file bankruptcy or proposal in the next 18 months.

Find out how expanded data enables a more predictive bankruptcy score.

Learn more

Find out more about how CreditVision can

enhance your lending strategies.

Real Insights. Real Results.

5 in 10 consumers

A new TransUnion payment study found that consumers able to pay more than the minimum due on their credit cards have much lower delinquency rates on not only their credit cards—but also their auto loans.

Adding CreditVision Premium Algorithms to their custom model resulted in a 5.5% improvement in K-S (from 46.9 to 49.5)

A top five financial institution sought to improve performance of of their underwriting risk model for new credit card loans. Adding CreditVision Premium Algorithms to their custom model resulted in a 5.5% improvement in K-S (from 46.9 to 49.5).

CreditVision Risk outperformed a generic, 3rd party risk model by, 6.4% in K-S.

A top five financial institution evaluated the performance of generic risk models on new credit card loans. CreditVision Risk outperformed a generic 3rd party risk model by 6.4% in K-S.