CreditVision for Marketing

Optimize your marketing campaigns.

How can you target the right consumers for your marketing efforts?

By having the consumer information you need to better segment and align audiences with your lending objectives. Below are just some of the many ways CreditVision helps you identify and make the most of marketing opportunities.

Origination/
Decisioning

  • Make the right product offer to a consumer based on need and predicted use
  • Optimize credit limit assignments based on predicted spend and utilization
  • Improve product pricing according to risk and predicted profitability

Account Review/
Account Management

  • Identify consumers warranting credit line increases
  • Target consumers most likely to respond to balance transfer campaigns
  • Better identify cross-sell opportunities

Cross-Sell/
Targeting

  • Appropriately target consumers based on their behaviour on all accounts – not just those at your institution
  • Identify consumers who are building balances
  • Differentiate high card spend from low card spend consumers
  • Segment credit card transactors and revolvers to target properly

Improve your marketing strategies and program response with CreditVision insights.

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.