How Expanded FCRA Data Is Revolutionizing the Credit Universe

by Guest Contributor 5 min read April 5, 2022

For decades, the credit scoring system has relied on traditional data that only examines existing credit captured on a credit report – such as credit utilization ratio or payment history – to calculate credit scores. But there’s a problem with that approach: it leaves out a lot of consumer activity. Indeed, research shows that an estimated 28 million U.S. adults are “credit invisible,” while another 21 million are “unscorable.”1

But times are changing. While conventional credit scoring systems cannot generate a score for 19 percent of American adults,1 many lenders are proactively turning to expanded FCRA-regulated data – or “alternative data” – for solutions.

Types of expanded FCRA-regulated data

By tapping into technology, lenders can access expanded FCRA-regulated data, which offers a powerful and complete view of consumers’ financial situations.

Expanded public record data

This can include professional and occupational licenses, property deeds and address history – a step beyond the limited public records information found in standard credit reports. Such expanded public record data is available through consumer reporting agencies and does not require the customer’s permission to use it since it’s a public record.1

“Experian has partnerships with these agencies and can access public records that provide insight into factors like income and housing stability, which have a direct correlation with how they’ll perform,” said Greg Wright, Chief Product Officer for Experian Consumer Information Services. “For example, lenders can see if a consumer’s professional license is in good standing, which is a strong correlation to income stability and the ability to pay back a loan.”

Rental payment data

Experian RentBureau draws updated rental payment history data every 24 hours from property managers, electronic rent payment services and collection companies. It can also track the frequency of address changes.

“Such information can be a good indicator of risk,” said Wright. “It allows lenders to make informed judgments about the financial health and positive payment history of consumers.”

Consumer-permissioned data

With permission from consumers, lenders can look at different types of financial transactions to assess creditworthiness. Experian Boost™, for example, enables consumers to factor positive payment history, such as utilities, cell phone or even streaming services, into an Experian credit file.

“Using the Experian Boost is free, and for most users, it instantly improves their credit scores,” said Wright. “Overall, those ‘boosted’ credit scores allow for fairer decisioning and better terms from lenders – which gives customers a second chance or opportunity to receive better terms.”

Financial Management Insights

Financial Management Insights considers data that is not captured by the traditional credit report such as cash flow and account transactions. For instance, this could include demand deposit account (DDA) data, like recurring payroll deposits, or prepaid account transactions.

“Examining bank account transaction data, prepaid accounts, and cash flow data can be a good indicator of ability to pay as it helps verify income, which gives lenders insights into consumers’ cash flow and ability to pay,” Wright added.

Clarity Credit Data

With Experian’s Clarity Credit Data, lenders can see how consumers use expanded FCRA-regulated data along with their related payment behavior. It provides visibility into critical non-traditional loan information, including more insights into thin-file and no-file segments allowing for a more comprehensive view of a consumer’s credit history.

Lift Premium™

By using multiple sources of expanded FCRA-regulated data to feed composite scores, along with artificial intelligence and machine learning, Lift Premium™ can vastly increase the number of consumers who can be scored. For example, research shows that Lift Premium™ can score 96 percent of American adults ­– a significant increase from the 81 percent that are scorable with conventional scores relying on only traditional credit data. Additionally, such enhanced composite scores could enable 6 million of today’s subprime population to qualify for “mainstream” (prime or near-prime) credit.1

How is expanded FCRA-regulated data changing the credit scoring system?

The current credit scoring system is rapidly evolving, and modern technology is making it easier for lenders to access expanded FCRA-regulated data. Indeed, this data disruption is changing lender business in a positive way.

“When lenders use expanded credit data assets, they see that many unscorable and credit invisible consumers are in fact creditworthy,” said Wright. “Layering in expanded FCRA-regulated data gives a clearer picture of consumers’ financial situation.”

By expanding data assets, tapping into artificial intelligence and machine learning, lenders can now score many more consumers quickly and accurately. Moreover, forward-thinking lenders see these expanded data assets as offering a competitive edge: it’s estimated that modern credit scoring methods could allow lenders to grow their pool of new customers by almost 20 percent.1

Case study: Consumer-permissioned data

To date, over 9 million people have used Experian Boost. The technology uses positive payment history as a way to recognize customers who exhibit strong credit behaviors outside of traditional credit products. “Boosted” consumers were able to add on average 14 points to their FICO scores in 2022 so far, making many eligible for additional financial products with better terms or better product offerings. Active Boost consumers, post new origination performed on par or better than the average U.S. originator, consistently over time.

“In other words, having this additional lens into a consumer’s financial health means lenders can expand their customer base without taking on additional credit risk,” explains Wright.

The bottom line

The world of credit data is undergoing a revolution, and forward-thinking lenders can build a sound business strategy by extending credit to consumers previously excluded from it. This not only creates a more equitable system, but also expands the customer base for proactive lenders who see its potential in growing business.

Learn more

1Oliver Wyman white paper, “Financial Inclusion and Access to Credit,” January 12, 2022.

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