Marketing & Lead Generation Case Study

39% Increase in Profit for Top US Bank

The Details…

 

  • Team members at 2OS re-optimized the acquisitions website at a major US bank.

 

  • By leveraging internal and third-party data, 2OS data scientists developed a traffic optimization model to segment site visitors.

 

  • This enabled the bank to provide visitors with a custom UX and optimized product mix, better matching potential customers to appropriate products.

 

  • The resulting increase in click-thru, application and conversion rates lead to a 39% increase in profits attributable to the website.

 Underwriting Case Study

12% Increase in Approval Rate w/ 23% Decrease in Risk for Retail Finance Company

The Details…

 

  • 2OS rebuilt the application stage risk model and credit policy for a private equity backed retail finance company.

 

  • Historically, the firm’s credit policy had been driven by an array of hard cuts.

 

  • Using data previously unknown to the client, 2OS developed a custom risk model that identified both toxic current approvals and benign prior declines.

 

  • The resulting model and credit policy enabled a 12% increase in approval rates and a 23% reduction in risk levels.

Customer Management Case Study

54% Increase in Profit for Global Bank

The Details…

 

  • 2OS drafted a replacement credit line increase (CLI) policy for the credit card portfolio at a top 10 global bank.

 

  • While overhauling the CLI policy, 2OS applied a pragmatic approach with an appropriate level of sophistication to estimate marginal utilization and segment the portfolio.

 

  • The resulting policy was expected to combine a 54% increase in value with a 6% reduction in net exposure.

 

  • As part of this project, 2OS also provided an economically optimized test-revise framework for the client to leverage in future iterations.

Collections Case Study

70%+ Increase in Liquidation Rates for Midsize Bank

The Details…

 

  • 2OS developed a new collections strategy for a super-regional bank.

 

  • The incumbent strategy treated all delinquent accounts uniformly from bucket 2 and beyond.

 

  • Leveraging internal and external data sources, 2OS devised a model-driven strategy to differentiate treatment by channel and customer segment.

 

  • The resulting policy ensured optimal treatment was applied to the right account at the right time at the right cost, delivering an increase of 70% and 76% to bucket 2 and bucket 3 liquidation rates respectively 5-months post implementation.