Invisible security is the new competitive advantage at checkout 

Every year, consumers say they'll spend less during the holidays. Every year, many do the opposite. Ahead of the 2025 holiday shopping season, 57% of consumers told Deloitte they expected the economy to weaken, the most pessimistic outlook recorded in the survey's history. Planned holiday spending was down 10%. Yet by the end of the season, online holiday sales reached a record $257.8 billion, up 6.8% year over year. Credit card balances climbed to $1.28 trillion, and Buy Now, Pay Later (BNPL) financing surpassed $20 billion during the holiday period. For lenders, the takeaway is to identify and engage the right consumers before the holidays were best equipped to capture that spending while effectively managing risk. As the 2026 holiday season approaches, Experian's latest market insights suggest that while credit performance appears relatively stable at the portfolio level, important shifts beneath the surface are changing how lenders should evaluate both opportunity and risk. Holiday shopping season 2026 Winning top of wallet before the holiday swipe Download the white paper now Holiday lending decisions happen long before the holidays It’s been observed that the holiday shopping season has expanded – beginning before Black Friday – over recent years. While Cyber Week continues to generate headlines, holiday spending is becoming more distributed throughout the quarter. For lenders, that means strategies must be in place before peak shopping begins. Credit line increases, portfolio reviews, acquisition strategies and risk segmentation completed in late summer often determine how much holiday spending an institution can safely capture. At the same time, early signs of credit deterioration are emerging faster than traditional portfolio metrics suggest reinforcing the importance of identifying emerging portfolio risk early rather than relying solely on broad portfolio performance indicators. Income is becoming a stronger predictor of credit performance One of the most notable shifts in today's lending environment is the growing relationship between income and future credit performance. Experian's data suggests the market is becoming increasingly polarized. The population earning more than $250,000 annually has more than doubled since 2023, but more than one-quarter of those consumers have since moved into lower income brackets, often following retirement or job loss. Meanwhile, consumers earning less than $50,000 annually show relatively little income mobility, with approximately 85% remaining in the same income band year-over-year. These trends highlight an important reality: a credit score alone may no longer provide a complete picture of borrower risk. Four priorities before peak holiday spending With only a short window before holiday borrowing accelerates, lenders have an opportunity to strengthen both growth and risk strategies. Key areas of focus include: Refine acquisition strategies Move beyond score-only targeting by incorporating verified income, cash flow and existing credit relationships to identify qualified borrowers. Optimize existing portfolios Identify customers demonstrating positive credit migration and proactively evaluate opportunities to increase credit lines before peak spending begins. Monitor emerging credit risks Use early-stage delinquency indicators and behavioral signals to identify potential performance issues before losses accelerate. Strengthen fraud management and prevention Seasonal account openings and increased transaction volumes create greater fraud exposure. Identity verification, synthetic identity detection and dormant account monitoring remain critical during high-volume acquisition periods. Preparing for the holiday shopping season ahead The 2025 holiday season demonstrated that consumer spending decisions don't always align with consumer sentiment. How does that translate for the 2026 shopping season? For lenders, success will depend less on reacting to spending trends in November and more on making informed credit decisions months earlier. As consumer financial behavior continues to evolve, combining traditional credit data with income, cash flow and alternative data can provide a more complete understanding of both opportunity and risk. Institutions that incorporate these broader insights into acquisition, portfolio management and fraud strategies will be better positioned to grow responsibly during one of the year's most active lending periods. Ready to learn more? Access the full white paper

Verification has become an increasingly important area of focus in mortgage lending, but success is about more than just coverage. In the latest episode of the Chrisman Commentary Podcast, Experian's Jamie Norris, Senior Manager of Strategic Alliances, shares why distribution and integration are increasingly the keys to driving adoption, automation, and better borrower experiences.  Why Distribution Matters in Verification  As lenders continue to pursue faster, more efficient mortgage processes, verification solutions must fit seamlessly into the systems they already use. Norris explains how Experian's strategy is focused on helping lenders access trusted income and employment data while minimizing workflow disruption by making Experian Verify accessible across loan origination systems (LOS), point-of-sale platforms, underwriting technologies, and reseller networks.  Building a Smarter Verification Strategy  The conversation explores why lenders benefit from having access to multiple verification providers, how they can optimize verification strategies to maximize automation while minimizing costs and borrower friction, and why an "instant-first" approach is gaining momentum across the industry.  Looking Ahead: AI, Automation, and the Future of Mortgage Lending  Norris also discusses how AI-driven underwriting and decisioning are reshaping mortgage technology. As lending platforms become increasingly automated, real-time verification data is expected to support faster decisioning and more streamlined borrower experiences.  She shares Experian's vision for expanding its verification ecosystem and delivering a broader suite of solutions that meet lenders wherever they work.  Listen to the full episode above to hear Jamie's insights on verification strategy, partner integrations, AI-enabled lending, and what's next for mortgage automation. 

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