All posts by Andy.Monte@experian.com

Learn how to navigate e-commerce merchant challenges in part one of a collaborative two-part series by Experian & Mastercard.

Trigger leads have long been the preferred solution for identifying high-intent mortgage borrowers. But with the implementation of the Homebuyers Privacy Protection Act (HPPA), which introduces new limitations and consumer protections around trigger leads, that playbook will need to shift. Now, lenders are quickly facing a pivotal shift in how they discover, engage, and convert prospective borrowers into customers. The industry now stands at a crossroads. Lenders who adapt early—leaning into predictive tools, consent-based engagement, and smarter prescreening—will redefine borrower acquisition in a more privacy-centric era.  HPPA: A structural change to mortgage marketing  The HPPA amends the Fair Credit Reporting Act by significantly restricting the use of mortgage inquiries for prescreen purposes. As of March 5, 2026, credit bureaus may only provide or utilize mortgage inquiries to:  End users with explicit borrower consent  The originator of the consumer’s current mortgage  The servicer of the consumer’s current mortgage  An insured depository institution or credit union where the consumer has an existing account  While these exemptions may provide continuity for banks and credit unions, many mortgage brokers and nonbank lenders will need to overhaul their prescreen practices—or risk being cut off entirely from a previously high-performing acquisition channel.  Why this isn’t just a compliance shift—It’s a strategic recalibration  Mortgage triggers in prescreen allow lenders to react instantly to consumer intent. Lenders rely on a prompt and convincing narrative to entice applicants to switch lenders. Mortgage inquiry triggers are effective and were, therefore, a prospecting strategy for many lenders. Recent legislative changes significantly restrict the availability of these inquiry triggers, and impacted lenders are focusing on a more intentional prospecting strategy to compete.   Without these mortgage triggers in prescreen, lenders need to ask:  Who are we trying to reach?  What early signals can we act on?  How do we earn permission and attention before a mortgage inquiry ever happens?  Transforming the funnel: From reaction to anticipation  The shift in mortgage inquiry-based prescreen isn’t the end of high-intent lead targeting. It’s the beginning of a more strategic and intentional approach—one that leverages earlier indicators of mortgage readiness and focuses on building relationships, not just closing transactions.  Here’s where the momentum is evolving, creating a new and smarter funnel:  Prescreen marketing: Using credit and behavioral attributes to help identify consumers who meet specific lending criteria before they signal active intent.  Predictive modeling: Leveraging propensity scores or custom models to prioritize outreach based on conversion likelihood.  Consent-based engagement: Implementing compliant mechanisms to capture and manage borrower opt-ins at scale.  The power of predictive modeling  According to recent industry interviews, propensity modeling is emerging as one of the most effective replacements for trigger-based prescreen. These models analyze hundreds of credit attributes—such as utilization, account mix, account age, and depth—to help identify consumers statistically more likely to seek a mortgage.  For lenders just beginning to use predictive modeling, off-the-shelf models can be a quick way to identify potential borrowers. For example, when layering propensity scores on top of credit eligibility, which can improve borrower targeting, many lenders see an increase in open mortgage loan rates.  Meanwhile, custom-built models, which analyze a lender’s own campaign performance over time, offer the highest level of precise targeting. These models isolate the attributes most predictive of conversions within a specific product mix—optimizing not just volume, but fit.  Speed without traditional triggers? It’s possible  One of the biggest concerns among lenders is maintaining the speed historically enabled by trigger leads. But that concern may be overblown.  Self-service prescreen platforms now allow marketers to generate qualified lead lists in as little as 24 hours, enabling rapid response during rate drops, competitive shifts, or seasonal demand spikes.   For those new to prescreening, batch campaigns still offer value, especially with analyst support.   Don’t overlook retention  In an era of intense acquisition competition, retention becomes a key differentiator.  Lenders who monitor property status, cash flow, and consumer credit behavior can proactively identify when an existing borrower is likely to list, refinance, or exit. Armed with that intelligence, lenders can re-engage with the borrower at the right moment—sometimes before a competitor is considered or contacted.  This level of behavioral intelligence may soon separate proactive lenders from reactive ones.  Actions instead of reactions  The evolution of trigger-based prescreen doesn’t just require new tools; it demands new thinking. Lenders should begin by auditing their current pipelines and determining:  What percentage of our acquisition is dependent on triggers?  What share of our book falls under the HPPA exemptions?  How will we scale compliant opt-in collection?  Are our current prescreen or modeling capabilities future-ready?  Those who answer these questions today—and act on them—won’t just be in compliance with the new laws, they’ll lead in a transformed market. Lenders should also be asking:   Do we have the infrastructure to collect and act on borrower consent?  Are our acquisition teams equipped to run prescreen campaigns — both batch and self-service?  What predictive models are we using (or could we use) to prioritize leads?  Are we proactively monitoring our portfolio to catch retention risks early?  How are we preparing our sales teams for longer, more consultative buying journeys?  Conclusion  The HPPA signals a shift away from relying on passive, inquiry-based prescreen acquisition and the beginning of smarter, more strategic engagement with potential borrowers. Lenders who embrace this transition early will find themselves not just compliant, but competitive—with deeper borrower insights, better conversion rates, and stronger long-term customer relationships.  The market is moving. The only question is: will you lead the change or chase it?  Citation  Experian. (2025, November). Interview: How the Homebuyers Privacy Protection Act is reshaping mortgage marketing—and what lenders should do now [transcript]. Experian Mortgage Insights. Insights based on lender feedback, campaign performance data, and analysis of prescreen marketing strategies and predictive modeling outcomes were gathered from Experian client engagements and internal mortgage analytics between May and October 2025. Homebuyers Privacy Protection Act timeline and legal context referenced from legislation signed September 5, 2025, with implementation beginning March 5, 2026.   

Learn how employee benefit brokers can target employee identity theft protection concerns with comprehensive financial wellness solutions.

Fraud and identity theft in the automotive industry continue to make headlines with the result bringing significant monetary losses for dealers. In 2022, more than 60% of automotive dealerships filed cases of identity theft losing three or more vehicles, with 84% saying there has been a noticeable increase in identity fraud since the pandemic. Even though dealers understand that fraud is on the rise, 66% stated they lacked adequate identity fraud protections [1]. In a recent episode of the Used Car Dealer Podcast, host Zach Klempf, spoke with Kanchana Sundaram, Experian's senior director of product and innovation for automotive, to discuss Fraud Protect, a new tool from Experian that helps dealers combat fraud. During the interview, Kanchana highlighted how dealers can use Fraud Protect to better identify potentially fraudulent behavior, without slowing down the sales process and still maintaining a positive experience for both them and the consumer. By leveraging the latest technology and advanced analytics, dealers are able to detect some of the most common fraud types that include: Third-party fraud: Fraudsters steal an individual’s identity to purchase a vehicle First-party fraud: A person knowingly misrepresents their identity or provides false information, often with the intention of not paying for the vehicle Synthetic identity fraud: Fraudsters create fake identities and build credit profiles over time before using them to finance a vehicle they do not intend to pay for The episode is now available across all major podcast platforms, click the link to watch: YouTube To learn more about Fraud Protect, visit Experian’s auto fraud prevention solutions webpage. For more information on the Used Car Dealer Podcast, visit https://www.sellyautomotive.com/podcast Facebook – @SellyAutomotive ‘X’ – @SellyAutomotive LinkedIn – @SellyAutomotive 1. https://www.elendsolutions.com/research/2022-Identity-Fraud-Survey-Report/

According to Experian Marketing Services’ holiday peak week analysis, social media proved to be a key research tool for holiday shoppers and a crucial driver of traffic to retail Websites.

With most lenders focused on growth as the top priority for the new year, having the ability to score more consumers is key.

According to the National Christmas Tree Association, approximately 25 to 30 million real Christmas trees are sold annually in the United States versus 8 to 11 million artificial trees.

According to Experian’s latest State of the Automotive Finance Market report, interest rates for new auto loans dropped to 4.27 percent — the lowest rate on record. In addition to increasing new vehicle sales, the historically low interest rates helped consumers finance a larger balance, with the average new vehicle loan coming in at $26,719 for Q3 2013 — the highest average amount financed since 2008. Sign up to access our quarterly analysis of the latest automotive finance trends Source: Experian Automotive: Interest rates for auto loans hit all-time low, while average amount financed reaches highest point since 2008

Experian’s latest annual State of Credit analysis provides insight into the differences in credit habits by generation. While the youngest group, Millennials, appear to be novice credit managers, Generation Xers have the highest amount of average debt, are slowest to make payments on time and tied with Millennials for highest percentage of credit utilized. The results of the study reinforce the importance of lenders providing transparent consumer education on credit scores and responsible credit behavior. Snapshot of generational debt differences Baby Boomers (47 to 65) Generation X (30 to 46) Millennials (19 to 29) VantageScore® credit score 700 653 628 Average debt $29,317 $30,039 $23,332 Average balance of bankcards $5,347 $5,343 $2,682 Average revolving utilization 30% 37% 37% Late payments 0.33 0.61 0.58 Download our recent Webinar: It’s a new reality ... and time for a new risk score Source: Experian’s State of Credit infographic

Data quality should be a priority for retailers at any time of the year, but even more so as the holiday season approaches. According to recent research from Experian, organizations feel that, on average, 25 percent of their data is inaccurate and 12 percent of departmental budgets are wasted due to inaccuracies in contact data. During the 2013 holiday season, consumer spending is expected to increase by at least 11 percent. Retailers need to improve data quality early on in order to ensure that relevant holiday offers reach consumers and to take advantage of the expected increase in consumer spending. View our recent Webinar: Unique insights on consumer credit trends and the impact of consumer behavior on the economic recovery Source: View our data quality infographic: ’Twas the month before the holidays

The credit appetite for small businesses is strong and growing. Total outstanding balances have risen at their fastest rate in two years, and delinquency rates have fallen at a consistent pace. Only 10 percent of outstanding small-business credit balances were past-due in Q3 — the lowest level of delinquency seen since the recovery began. While this is an encouraging sign, it is important to note that these improvements have come at the cost of hiring new employees and investments. Sign up for the Quarterly Business Credit Review Webinar on Dec. 10 Source: Download the full Experian/Moody’s Analytics Small Business Credit Index report.

Credit trends from the most recent Experian–Oliver Wyman Market Intelligence Report point to a steady economic recovery. Bankcard charge-offs decreased 13 percent year over year (4.5 percent versus 3.9 percent) and delinquent dollars for the 90–180 day past due delinquencies decreased 17.5 percent for the same timeframe (1.6 percent to 1.3 percent). These trends are a positive sign for overall economic recovery and evidence that the current growth in bankcard originations is not coming at the expense of increased delinquencies. Sign up to attend our upcoming Webinar on Q3 credit trends and take a closer look at the impact of consumer behavior on the economic recovery. Source: Data for this article was sourced from Experian’s IntelliViewSM, a Web-based data query, analysis and reporting tool.

Credit unions were the only type of lender to have their 30 day plus delinquency rate fall below 2 percent for several key product categories. The table below provides the delinquency rate by lender and product. 30 day plus delinquency rate Q2 2013   Auto* Mortgage Bankcard Credit unions 1.52% 1.36% 1.99% Banks 2.01% 4.91% 2.73% Captive auto 2.40% N/A N/A Sign up to attend our upcoming Webinar on Q3 credit trends and take a closer look at the impact of consumer behavior on the economic recovery. Source : Data for this article was sourced from IntelliViewSM, a Web-based data query, analysis and reporting tool. *Auto delinquency rate includes automotive loans and leases.

Personalized credit education can have a measurable impact on a person’s credit score. Consumers who used a personalized consumer credit-education service that offers one-on-one guidance and score simulation improved their average VantageScore® credit score by 21 points (684 to 705) and decreased their credit utilization by 15 percent. Download our recent Webinar: It's a new reality ... and time for a new risk score VantageScore® is a registered trademark of VantageScore Solutions, LLC.

The growing cost and number of data breaches has spurred more interest in cyber insurance. While companies often increase investments in technology and training programs to reduce the likelihood of a breach, a recent Ponemon Institute survey of risk-management professionals found that 31 percent of companies surveyed have cyber insurance and 39 percent plan to purchase cyber insurance in the future. Learn how to outline your response plan with our data breach response guide. Source: Managing Cyber Security as a Business Risk: Cyber Insurance in the Digital Age