Recent Webinar signals optimistic perspective

by Guest Contributor 2 min read October 18, 2010

By: Staci Baker

As the economy has been hit by the hardest recession since the Great Depression, many people wonder how and when it will recover.  And, once we start to see recovery, will consumer credit return to what it once was?

In a recent Experian-Oliver Wyman Market Intelligence Report quarterly webinar, 70% of the respondents in a survey said they believe consumer debt will return to pre-2008 levels.  Clearly, many believe that consumer spending and borrowing will return, despite the fact that consumer credit card borrowing recently declined for the 24th straight month*.

Assuming that this optimism is valid, what can credit card lenders do to evaluate the risk levels of potential customers as they attempt to grow their portfolios?

For lenders, determining who needs credit, as well as whom to lend to in this economic environment, can be quite challenging.  However, there are many tools available to assist lenders in assessing credit risk and growing their portfolio.

Many lenders look at a consumer’s credit score, such as the tri-bureau VantageScore, to evaluate their credit worthiness. By utilizing an individual’s VantageScore, a lender is able to determine potential customer risk levels.

Another way to evaluate a consumer’s credit worthiness is to evaluate a population using credit attributes.  Based on the attributes a lender is looking for in their portfolio, they can see improvement in evaluating risk prediction in their portfolio using pre-determined attributes, especially those specifically designed for the credit card industry.

There are also models that can help lenders predict when a consumer is likely to be in the market for a new loan or account. Experian’s In the Market Models provide lenders with product-specific segmentation tools that can be combined with risk scores to enhance the efficiency and effectiveness of their offers.

To identify the optimal cross-sell and line management decisions based on an individual customer’s risk score and potential value, a lender can also utilize optimization tools.  Optimization, combined with a viable risk management strategy, can assist a lender to achieve a healthy portfolio growth in a highly constrained environment.

Although lenders will need to determine the best method to meet their objectives, these are just a few of the many tools available that will assist them in correctly growing their lending portfolios.

____________________
* http://www.usatoday.com/money/economy/2010-10-07-consumer-credit_N.htm

Related Posts

The Email Address as Your Most Powerful Identity Signal

The why behind Experian's acquisition of AtData What happens when a comprehensive email intelligence database joins a global leader in data, analytics and fraud prevention? The acquisition of AtData adds 25+ years of building a complete view of email as an identity signal. Financial institutions can recognize, engage and protect customers unlocking a new standard for the way their teams work and the customer experience. That's what Experian's acquisition of AtData delivers. How we got here Not all email addresses tell the same story. Some are newly created. Some exhibit bot-like patterns. Some are inconsistent with every other signal you have about that person. Imagine a real customer. You have a job. You shop online. You have a primary email from your employer, a personal Gmail you've used for 15 years, and an old Yahoo address you still use for shopping because you've been using it since college. You're an engaged customer who interacts with brands, makes purchases and pays bills on time. But each system sees a different version of you. When you apply for credit, the lender sees one email. When you shop, the retailer sees another. When you sign up for a service, you might use the third. For financial institutions: You slow down the approval process to manually verify identity or approve applicants without the full picture. For retailers: You can't tell which version of "customer" is the most engaged, so you either over-mail or under-serve. For fraud systems: Sees a new account created under one email and flags it as suspicious because it doesn't have the history. This was the original problem AtData was built to solve in 1999. Twenty-five years later, that problem didn’t go away, it became more complex. Email fragmentation and device sharing are more common, and identity theft is more sophisticated. Capabilities that now work together Experian has built sophisticated identity and fraud solutions backed by consumer data resources and decades of expertise in credit and risk. AtData brought the ability to assess whether an email address is trustworthy, reachable and consistent—at scale, in real time. Experian is now making email intelligence foundational, not optional. This matters for: Fraud prevention and risk management: Distinguishing a returning customer from a new threat. Knowing whether an email is newly created, exhibiting bot-like patterns or inconsistent with other identities is crucial. Compliance: Building audit trails that can explain identity decisions. Email data history and behavioral signals create the documentation needed to defend your decisions. Credit: Verifying identity in a world where traditional signals are shifting. Email signals provide a persistent, durable identifier that confirms who someone actually is. Marketing: Reaching the right person across email, mail and digital channels. Email intelligence reveals which addresses are actively engaged and reachable. Research shows email remains one of the highest-ROI marketing channels outperforming paid search and social advertising1. The problem every marketer faces: You end up burning budget on addresses that bounce, are unmonitored or are associated with users who never open mail. For credit marketing specifically, email enables faster, more targeted delivery of firm offers across channels, something that's increasingly important in a post-cookie world. "Email is a persistent identifier in a fragmented world. It's what connects a person's postal address, phones, devices, behaviors—the full picture of who they are. By embedding that into our infrastructure, we're not just adding another data point. We're fundamentally improving how businesses understand who their customers are."- Ashley Knight, Senior Vice President, Financial Services and Data Why now? AI is reshaping how decisions are made in every industry. Models are getting faster, more automated and more embedded in core workflows. But AI is only as effective as the data behind it. Fragmented data + fast models = faster, larger-scale misclassifications. In an era of synthetic identities, AI agents, deepfakes and AI-generated activity, the value of durable, persistent, real-world data signals has increased dramatically. Deloitte’s Center for Financial Services projects that generative AI could drive fraud losses in the U.S. up to $40 billion by 2027, a 32% growth rate since 2023. And email sits at the center of it with business email compromise already being one of the most common and costly fraud types. People change phones, move homes and swap devices, but they often hold onto their email for years. That's the signal that protects your business, and the one we've built into the core of how we help you make decisions with confidence. View the press release here

August 6, 2026 by Zohreen Ismail
Building Financial Opportunity Through Purpose-Driven Partnership

Discover how the National Urban League and Experian partner to expand financial literacy and create economic opportunity.

August 6, 2026 by Scarlet Nickel
2026 U.S. Identity and Fraud Report 

Explore key findings and insights from our newly released 2026 U.S. Identity and Fraud Report. Read more now!

August 5, 2026 by Laura Burrows

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe