How Credit Limit Increase Optimization Drives Portfolio Profit

Action-effect models and prescriptive analytics make credit limit increase optimization a powerful tool to improve portfolio performance

Credit limit management is regarded as a key driver to profitable portfolios. But despite this, many issuers fail to apply advanced prescriptive analytics to a crucially important process, or if they have, it may often be without a framework or infrastructure to maximise the effectiveness of the insights it can bring. Credit limit increase optimization (CLI) is a powerful tool to achieve portfolio goals.

Among the underlying elements to optimizing credit limits is a need to have a detailed understanding of the impacts of any actions the issuer takes on their customers. Understanding the action-effect relationship is crucial to creating a solution that enables you to assess the likely impact of multiple alternative scenarios on key performance metrics.

It enables decision-makers to define the best strategy easily and quickly for their CLI campaign, while supporting critical business objectives. It’s achieved by configuring a decision impact model, which includes and can leverage action-effect modelling.

Action-effect models are analytics that accurately predict how a customer will react to any offer brings great flexibility, but also drive vital insight into potential difficulties in managing the many dimensions of customer behaviour.

Among the crucial elements to understanding the art of the possible and potential value of CLI is the so-called ‘Efficient Frontier’, which enables issuers to compare differing scenarios and opt for the one that meets their growth objectives and market conditions at the time, while maximising profitability.


Credit limit increase optimization


Managing Profitability and Exposure

Credit line management optimization helps you manage more than just profit. Overall exposure can also be managed by balancing income and exposure, with risk level typically used as a constraint. The critical value is knowing how, where, and when accepting a slightly higher level of losses will drive an overall increase in the average profit per account—and crucially by how much.


Credit limit increase optimization
Source: FICO


At the same time, CLI campaigns need to ensure they are compliant and don’t offer customers unrealistic or unacceptable limit increases. Constraints can be applied to ensure that strategies are compliant and that they are treating customers fairly.

The Power of FICO Credit Limit Increase Optimization

Hundreds of FICO clients across the globe already benefit from optimization to deliver decisions that generate tens of millions of dollars — at speed and at scale. It’s already well-established as a core analytics technology and proves optimal decisions can be consistently applied to help drive growth and improve financial performance across multiple industries and sectors.

FICO recently delivered a CLI optimization project for a UK high-street card company, with a potential yield of +£2 million (US$3 million) in annual profit improvement. Other benefits include:

  • Speed — With direct access to data, value can be delivered in as little as eight weeks, subject to agreed project scope.
  • No IT involvement — The solution requires little to no IT support. Credit limit strategies can be easily and quickly deployed to best suit client systems.
  • Cost savings — Our approach, including all licence and professional services costs, typically delivers in-year return on investment.
  • No long-term reliance on FICO — Beyond the initial solution development and software configuration, FICO provides detailed knowledge sharing and staff training to ensure all ongoing inhouse management and maintenance of the solution.

How FICO Can Help You Optimize Credit Card Profitability

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