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The end of 2010 was a transitional time for credit card lenders. Card issuers were faced with the need to jump-start “return to growth strategies” as a result of diminished profits stemming from the great recession and all of the credit tightening actions deployed over the last two years. Lenders were deliberate in their actions to shrink balance sheets eliminating higher risk customers. At the same time, risk adverse consumers were, and continue to be, more thoughtful about spending, taking deliberate measures to buy what they perceive to be necessary and able to pay back. Being the only safe bet in town, the super prime universe went from saturated to abundantly over-saturated, and only recently have lenders begun to turn the ship in anticipation of continued relief in default trends. As a result of sustained relief in credit card defaults and over-saturation in the prime+ space, more lenders have begun loosening policies. This has created price competition with 74% of new offers including low introductory rates for longer durations, averaging 12 months, up from 9 months just one year ago. The percent of annual fee offers decreased as well to 21% from 34% one year prior. Continuing the trend of competing for the prime+ segment, lenders have increasingly been promoting loyalty programs, in many cases, combined with spend-incented rebates. In fact, over a third of new offers were for rewards based products, up from 26% prior to the start of the economic turn in 2007. Lenders are now shifting gears to compete in new ways focusing on consumer demand for payment choices. Regardless of a consumer’s credit profile, lenders and technology providers are investing in innovative payment solutions. Lenders understand that if the Starbucks “My Coffee Card” is only available on their customer’s iPhone, Blackberry or Android using a re-loadable Starbucks app, then traditional card issuers will lose purchase volume. What is becoming more and more critical is a lenders ability to leverage new data sources in their targeting strategies. It is no longer enough to know what products provide the most relevance to consumer needs. A lender must now know the optimal communication channel for unique segments of the population, their payment preferences and the product terms and features that competitively match the consumer’s needs and risk profile. Lenders are leveraging new data sources around income, wealth, rent payment, ARM reset timing and strategic default, wallet spend and purchase timing.Loading…

By: Tracy Bremmer Score migration has always been a topic of interest among financial institutions. I can remember doing score migration analyses as a consultant at Experian for some of the top financial institutions as far back as 2004, prior to the economic meltdown. Lenders were interested in knowing if I could approve a certain number of people above a particular cut-off, and how many of them will be below that cutoff within five or more years. Or conversely, of all the people I’ve rejected because they were below my cut-off, how many of them would have qualified a year later or maybe even qualified the following month. We’ve done some research recently to gain a better understanding of the impact of score migration, given the economic downturn. What we found was that in aggregate, there is not a ton of change going on. Because as consumers move up or down in their score, the overall average shift tends to be minimal. However, when we’ve tracked this on a quarterly basis into score bands or even at a consumer level, the shift is more meaningful. The general trend is that the VantageScore® credit score “A” band, or best scorers, has been shrinking over time, while the VantageScore® credit score “D” & “F” bands, lower scorers, has grown over time. For instance, in 2010 Q4, the amount of consumers in VantageScore® credit score A was the lowest it has been in the past three years. Conversely, the number of consumers falling into the VantageScore® credit score “D” & “F” bands are the highest they have been during that same time period. This constant shift in credit scores, driven by changes in a consumer’s credit file, can impact risk levels beyond the initial point of applicant approval. For this reason, we recommend updating and refreshing scores on a very regular basis, along with regular scorecard monitoring, to ensure that risk propensity and the offering continue to be appropriately aligned with one another.

About a month ago, Senior Decisioning Consultant Krista Santucci and I gave a presentation at Experian’s 2011 Vision Conference on Decisioning as a Service. Due to the positive feedback we received, I thought it might be of interest to members of the communications industry who might not have had the opportunity to attend. A common malady The presentation revolved around a case study of an Experian client. Like many communications industry companies, this client had multiple acquisition systems in place to process consumer and commercial applications. In addition, many of the processes to mitigate fraud and support Red Flag compliance were handled manually. These issues increased both complexity and cost, and limited the client’s ability to holistically manage its customer base. The road to recovery At the beginning of the presentation, we provided a handout that listed the top ten critical functionalities for decisioning platforms. After a thorough review of the client’s system, it was clear that they had none of the ten functionalities. Three main requirements for the new decisioning platform were identified: A single system to support their application processes (integration) A minimum of 90% automatic decisions for all applications (waterfall) The ability to integrate into various data sources and not be resource intensive on their IT department (data access) Decisioning as a ServiceSM is a custom integrated solution that is easily applied to any type of business and can be implemented to either augment or completely overhaul an organization’s current decisioning platforms. We designed this client’s solution with a single interface that manages both consumer and commercial transactions, and supports a variety of access channels and treatment strategies. Following implementation, the client immediately benefited from: Streamlined account opening processes A reduction in manual processes Decreased demand on IT resources The ability to make better, more consistent decisions at a lower cost The agility to quickly respond to changing market needs and regulatory challenges Evaluate your own business Do you recognize some of your own challenges in this post? Download our checklist of the top ten critical functionalities for decisioning platforms and evaluate your own system. As you go through the list, think about what benefits you would derive by having access to each of the capabilities. And if you’d like to learn more about Decisioning as a Service, please complete our form.


