Experian and Moody's Analytics have just released the Q3  2021 Main Street Report. The report brings deep insight into the overall financial well-being of the small-business landscape and offers commentary on business credit trends and what they mean for lenders and small businesses. Labor shortages, wage pressure, and supply chain issues challenge small businesses   Small business credit performance was mixed in the third quarter as businesses dealt with the COVID-19 Delta variant.  Early-stage delinquency rates rose modestly while late state delinquency and bankruptcy rates fell decisively. With daily COVID cases falling, demand for goods and services should rise in coming quarters.  Downside risks are concentrated on the supply side with businesses struggling to hire workers and dealing with supply chain stress. Early-stage delinquency rates rose in the third quarter with servicers reporting that 1.27% of small business credit balances were 31-90 days past due. While higher than the second quarter’s 1.19% rate, performance was only slightly worse than a year ago and significantly better than the pandemic high of 1.66%. Perhaps more notable was the sharp drop in late-stage delinquency, with 1.92% of balances reported as being more than 91 days past due. Supply chain issues are impacting both the availability and price of key inputs.  Nowhere is this more apparent than in the semiconductor industry, where bottlenecks have shut down the manufacture of entire carlines. If you would like to get the full analysis of the data behind the latest Main Street Report, watch our Quarterly Business Credit Review webinar. Just scan the code or go to the short link and remember to download your copy of the latest report. Download Latest Report

For decades, lenders and others have relied on core credit data focused on financial borrowing and repayment behavior. Many factors go into the decision-making process, including the length of credit history, the number of open accounts, and on-time bill payments. What happens when a consumer or small business owner relies on cash for financial transactions or has never held a mortgage or a business loan? A significant portion of the U.S. adult population faces this problem. According to a 2020 report by the Federal Reserve, as many as 21 percent of U.S. consumers survive without a credit card. As a result, the traditional credit-scoring model doesn't tell the full story of their financial health, and they could be labeled “credit invisible" or “unscored" due to limited access to credit. It's both a personal and business problem. For consumers, that might mean not being able to secure a mortgage, insurance, or even be considered for a job. Start-ups and small businesses, meanwhile, may not be able to access credit to fuel their future growth and success. The recent explosion of new business filings brings the challenge of credit access to a head. Because small and emerging businesses can lack sufficient credit histories to qualify for credit on their own, they may rely on the owner's personal credit profile for lending decisions. Yet, some small businesses continue to struggle to get financing. It's especially pronounced in communities of color. For example, Black-owned businesses get turned down for bank financing at twice the rate that white-owned businesses do, according to the Federal Reserve. Technological innovations such as Experian's Experian Boost are shaking up the conventional scoring system by bringing in alternative credit factors to fill out the credit picture. For lenders, the emergence of alternative data, otherwise known as non-traditional data, helps them make informed business credit decisions among a wider number of customers and prospects. What is non-traditional data? Traditionally, lending and other credit decisions have been based on factors such as credit history and on-time payments. That can allow people and businesses that do not have a lot of cash but can demonstrate good repayment behavior to borrow. However, it's quite another story when the situation is flipped. Some consumers and businesses don't utilize financial products, though they might have healthy cash flow. As a result, they lack the necessary data to generate a credit score, making them appear to be unattractive credit risks. Non-traditional data is an important way to give consumers access to better rates and open up borrowing to more consumers and businesses. This data can include things like rent and cell phone payments, giving lenders a broader range of information to consider. According to FinRegLab, 96 percent of U.S. households have a bank account or a prepaid card and 91 percent of U.S. adults have at least one utility account in their names. Overall, including other credit data, in addition to core credit data, would bring more people into the credit system. Including non-traditional forms of data can create financial inclusion for consumers and businesses. Where does non-traditional data come from? Non-traditional data is generated by aggregators that scour utility accounts, public records and property information to understand the financial activities of consumers. It considers a wider range of financial behaviors than what just appears on a credit report. These can include: Rent payments Utility payments Employment verification Bank account information, including recurring payroll deposits, average account balances and withdrawal activity. Property records Non-traditional credit data goes one step further and supplements this data with information on consumers' use of alternative lending arrangements such as payday loans, small-dollar credit lenders, auto financiers, rent-to-own, retail financing, and others. Commercial lenders can also take advantage of technological innovations to gather non-traditional data for lending decisions, which can drive more approvals and greater profits. For businesses, non-traditional credit data can include: Social media: How many user check-ins and reviews is a business getting on social media? That can say a lot about its business. Experian Social Media Insight™ provides a social media view to help lenders better score business borrowers with thin credit profiles. Online financial activity: An uptick in PayPal or Venmo transactions can suggest healthy cash flow. Bank details: Borrowers can permit lenders to view their business banking account, which shows how much cash on hand they have. Accounting software: With direct access to QuickBooks or FreshBooks, lenders can make determinations about a potential customer's financial health in real-time. Shipping information: For businesses moving products, analyzing shipping data allows lenders to make assumptions on cash flow. How is non-traditional data currently used? Financial institutions have become receptive to other credit data sources to provide additional insights. That can improve the accuracy of credit scoring and allow lenders to find more creditworthy consumers. According to Experian's 2020 State of Alternative Credit Data report, 96 percent of lenders believe that during times of economic stress, non-traditional credit data allows them to more closely evaluate consumers' creditworthiness and reduce their credit risk exposure. By deeming more consumers creditworthy, financial institutions can increase financial inclusion, while uncovering new lending opportunities for themselves. Modern tools make that possible. For example, Experian's Clarity Services provides insights on more than 62 million U.S. consumers, helping lenders better assess and manage risk. Lenders can see consumers' utilization of alternative finance and payment behaviors for a more holistic view of their creditworthiness. How can non-traditional data be used to calculate credit risk? Non-traditional credit data can help lenders gain deeper insights into their borrowers to better assess risk. For starters, it allows them to spot creditworthiness trends in real-time, rather than a snapshot in time that traditional credit data typically provides. A deteriorating financial position among prime customers and signs of improvement among marginal customers can be spotted faster with a combination of traditional and non-traditional data. Also, some consumers may appear to be “risky" through the lens of core credit data but may prove less so when non-traditional data points are included. For example, according to FinRegLab research, cash flow data can be predictive of credit risk, not just credit utilization and history. Owner-permissioned data lets consumers decide what lenders can see when making their credit determinations. For instance, lenders who use only traditional data might see an account that has been turned over to collections. With owner-permissioned data, on the other hand, a lender can also see a record of paying rent and cell phone bills on time. As a result, lenders can evaluate both types of behaviors in their credit decision, providing them with a fuller picture. Looking at how consumers leverage alternative financial products to manage debt can also reveal responsible credit-management behaviors. Consumers who appear to be low-risk in the eyes of traditional credit data may actually be riskier if they do not manage their alternative finance products well – an activity that doesn't appear on most credit reports. The challenges of non-traditional credit data Non-traditional credit data has the potential to open the world of credit to underserved communities. For lenders, it can unlock opportunities by bringing in a wider range of potential customers. But it's important to recognize that there are challenges too. For starters, lenders are still figuring out how to incorporate it into their lending decisions. While non-traditional credit data has always been available, big data collection now makes it easier to access. As lenders and regulators become more comfortable with its use, they will begin to incorporate it into credit decisions, while also being aware of its limitations. Consumers, meanwhile, may have data security and privacy concerns about how their information will be used and who may have access to it. The Consumer Financial Protection Bureau is working on guidelines that ensure that lenders are using data appropriately and fairly. Related Posts

The Beyond The Trends Report – Fall 2021 Out Now!   Did you know that there are about a million restaurants in the U.S? And those restaurants employ nine million people?  As we prepared the latest Beyond the Trends report for Fall 2021, I took a deep dive into the restaurant industry in our small business data set to explore how restaurants were performing through the pandemic and how resilient they are now. Here's a quick snippet — the SBA's Restaurant Revitalization fund delivered 74,498 grants accounting for $22.4B in funds for May through June of 2021. It's a shot in the arm for restaurants. Here's how the funds were distributed based on annual sales. Distribution of Restaurants by Annual Sales Size source: SBA, Experian The RRF program has done well servicing a diverse set of applicants and underserved community segments. The Women-owned businesses made up almost half of the recipients Veteran-owned businesses were only 5% of the program. Veterans received fewer loans overall but had much higher average loan amounts awarded Restaurants in LMI designated areas were over a quarter of the program Restaurants in lower socioeconomic areas were over a third of the program's recipients Would you like to learn about this and other trends impacting small business? Download the Fall 2021 Beyond The Trends Report! Download the Latest Report

  Gain the ability to identify the most stable and profitable small business clients Join our webinar, in partnership with the Small Business Financial Exchange (SBFE): Disruptive Strategies to Empower Small Business Lending Tuesday, September 21, 2021, 10:00 a.m. PDT | 1:00 p.m. EDT Learn how to target small business growth opportunities and enhance the customer experience through automated credit-risk decisioning, with special focus on: Advanced methodologies for developing and leveraging new data attributes Advantages to having explainable, machine-learned models Effortless data visualization to conceptualize growth opportunities Ability to target populations and product mix for financial inclusion Register for Webinar

In this post, I would like to share some thoughts on the emerging business threat from the Delta Variant as it pertains to small business credit performance. Small Businesses are emerging New business applications are up 53% in the past 12 months, consistently coming in around 450k applications a month. We see these businesses become visible to commercial credit markets 3-4 months following the application. Industries including retail, transportation & warehousing, and accommodations & food services top the list as some of the fastest-growing sectors, particularly in the southern United States. Growth most pronounced in South, with FL, GA, NC Leading (5-year trend) Lenders and creditors are working hard to meet the need of their current customers and rapidly expanding inclusion programs to engage the underbanked in communities and provide access to new businesses. These emerging businesses and micro-businesses will not have the traditional credit history to access private commercial funding without the inclusion of non-traditional data. As stimulus support and moratoriums wind down, the concern is the resilience of small businesses as COVID spread and regional public policy decisions apply pressure to commercial growth and consumer spending. COVID-19 Delta variant emerges as a likely business spoiler The more contagious COVID19 variant is spreading quickly across the U.S., increasing to 21 times the average daily new case count in the last 30 days. Public policy limitation to commerce From a foot traffic perspective, the Delta variant surge has not greatly impacted small businesses as policymakers struggle to hold off on resuming state and local COVID commerce restricting policies. As case numbers rise, legal challenges to this restraint will waiver. We are seeing the return of mask mandates and capacity limitations amid indecision about whether or not schools can or will open in the fall or if remote classrooms will continue. These policy reversals and additional restrictions will be focused on social distancing versus lockdown strategies. This means stores will stay open to foot traffic, but consumers will become warier of utilizing this in-person experience. Delta hotspots highlight the small business threat A slow-down in foot traffic will place pressure on small business growth. Consumer confidence and re-emerging health concerns will play a role in how consumer spending impacts Main Street in the lead-up to the holidays. Regional COVID spread hot spots will impact supply chain for specific industries. As the variant picks up pace the travel industry and supporting industries (Hotels, Restaurants, etc..) will see customers warier to utilize the service, putting a damper on growth in this sector. COVID-19 has impacted all regions of the U.S. We needed a reset to understand how the newest variant is impacting areas outside of previous surges. Experian created a Delta Variant index to understand how small businesses will be affected differently now vs prior surges. We see a divergence of regional growth trends impacted by variant spread, macro-economic pressures, labor re-engagement, and consumer spend. Global trade pressures will continue to impact supply chain success. Creditors are formulating new risk management strategies for onboarding, term flexibility, balance management, and treatment that include traditional and non-traditional data. This COVID variant RESET, how we evaluate small business impact due to spread, is important in identifying areas of resilience and accelerated growth opportunity and uncovering industry and local risk. View COVID Risk Dashboard The COVID-19 U.S. Business Risk Index was developed by Experian Business Information Services to help businesses better understand the impact COVID-19 may have on their commercial operations. Related posts 4 ideas to help your company weather the COVID-19 downturn Visualizing the business impact of COVID-19 with Business Risk Simulator Tool

Q2 2021 Main Street Report Highlights   Experian and Moody's Analytics have just released the Q2  2021 Main Street Report. The report brings deep insight into the overall financial well-being of the small-business landscape and offers commentary on business credit trends and what they mean for lenders and small businesses. Here are a few highlights:  Price increases and supply chain issues persist The labor shortage is driving wage growth in some industries GDP grew at 6.5 percent As some industries struggle to contain price increases and to survive in a post-pandemic world, others are thriving on the back of economic reopenings driving consumption. Reopenings and pent-up demand for services are pushing up economic growth and powering a robust economic recovery. Moderately delinquent small business credit, defined as 31-90 days past due (DPD), moved down in the second quarter to 1.19 percent. But severe delinquency moved higher in the second quarter to 2.35 percent. After a long period of decline, this upward movement in severe delinquency rates is the largest in the post-recession period. Rising costs is becoming a factor among small businesses as they service their credit obligations. In the most recent NFIB survey, 39 percent of respondents indicated they were raising wages. If we break this down, we can see that wages are rising at double-digit rates in industries, such as leisure and hospitality. And this could spell trouble on the horizon in some sectors, as employers fight to control expenses. Real GDP grew at an annualized rate of 6.5 percent in the second quarter, led by consumption. The rapid rebound from Covid-driven shutdowns sustained the rapid economic growth of the second quarter as stimulus continued and vaccination rates increased. Join us for a deep dive If you would like to get the full analysis of the data behind the latest Main Street Report, watch our Quarterly Business Credit Review webinar. Just scan the code or go to the short link and remember to download your copy of the latest report. Download Q2 Report

Summer 2021 Beyond the Trends report. This report goes into a deep dive into the economic trends that we're seeing in the market. We look at some commercial and consumer credit trends that will impact recovery. And we'll deep dive into some of the industries that are most impacted. One of the things we talk about in this edition is the important role small businesses play in the economy.  With vaccination rates rising, consumers are starting to return to Main Street, dining at restaurants, going to movies, and traveling.   But supply-chain shortages are driving prices up, and with it, the worry over inflation. Stay informed by downloading your copy of the Beyond the Trends report. Download Beyond The Trends Report

Experian dashboard of PPP program helps lenders mitigate future first-party fraud risk The last round of stimulus for the Paycheck Protection Program (PPP) ran out of funds this week. The $953 billion stimulus program, designed to help businesses, self-employed workers, sole proprietors, nonprofit organizations, and tribal businesses continue paying their workers during the COVID-19 pandemic. As a result of emergency conditions and immediate concern to serve businesses in need, lenders relaxed vetting restrictions on PPP loan applicants. Also, they rushed to digitalize services to accommodate the massive influx of new PPP loan applications. Relaxed restrictions, high demand, and time sensitivity surrounding PPP loans created potential entry points for first-party fraud, or fraud committed by known customers (individuals and entities). Lenders looking to cross-sell or up-selling PPP client's new loan products should first understand the amount of first-party fraud exposure in their PPP portfolio. Understanding potential fraud levels will help avoid unnecessary reputational risk related to the new population of PPP-related commercial clients. Experian's Commercial Data Sciences team wanted to give lenders the ability to understand the amount of first-party fraud in their PPP portfolio. To start the conversation on the scope of fraud in the PPP program, Experian evaluated the publicly available SBA PPP loan data for the first round of PPP loans; these were public-only loans originated without a private guarantor. We anonymized and scored this dataset with Experian's newly developed Commercial First-party Fraud Score. The score measures the risk probability with a machine-learned algorithm to predict first-payment or early-stage defaults within seven months from account opening. Revealing elevated levels of fraud Scoring this public data revealed segments in some PPP lender portfolios with an elevated risk of first-party fraud, in some cases 10x to 20x riskier than the baseline. First-party fraud is a type of fraud where customers intentionally default on payments, either first-time payment or a payment sometime down the line. By examining the distribution of a lender's accounts as they fall within the score bands for first-party fraud risk, lenders can understand a projected dollar amount of balances to be charged off. They can also grasp the estimated dollar amount of losses per account or loss-prevention potential for the account if it had been reviewed (assuming reviewers catch 100% of fraud.) When dealing with first-party fraud, a lender's existing identity fraud prevention tools are typically unable to detect potential fraud. If underwriting relies on a point-in-time assessment, the lender would be blind to applicants' behaviors that may change after loan origination and fraud insights gained from evaluating accounts from other lenders. As a result, first-party fraud would be hidden in charge-offs, preventing lenders from identifying it for future analysis before marketing to their PPP loan population. Experian's Commercial First-Party Fraud Score helps lenders understand the first-party fraud risk of their PPP portfolio to limit future exposure for their new PPP population. Data visualization View the PPP dataset displayed in our tableau data visualization. Suppose you are a lender and concerned about fraudulent PPP loans in your portfolio. In that case, Experian can provide you with a Lender ID so you can assess risk levels revealed by the Experian Commercial First-party Fraud Score. View PPP Dashboard

Experian and Moody's Analytics have just released the Q1  2021 Main Street Report. The report brings deep insight into the overall financial well-being of the small-business landscape and offers commentary on business credit trends and what they mean for lenders and small businesses.     Small business credit performance hedged down slightly in Q1. But, pent-up savings, massive fiscal support, and the winding down of the Covid-19 pandemic will be driving forces for the economy and small businesses going forward in a post-pandemic recovery. Small businesses with fewer than 40 employees added 277,000 jobs in the first quarter, and by the end of 2021 the economy is slated to add nearly 5 million jobs as businesses reopen. After a PPP-induced decline in delinquency, the 31-90 days past due rate ticked up to 1.28 percent in the first quarter, from 1.21 percent in the fourth quarter, down from 1.61 percent one year ago.   Despite a narrative that inflation is rapidly developing, small business owners seem unconcerned. The most recent NFIB survey of most important problems places inflation worries in single-digit territory. If you would like to get the full analysis of the data behind the latest Main Street Report, watch our Quarterly Business Credit Review webinar. Just scan the code or go to the short link and remember to download your copy of the latest report.

Identity Fraud in Commercial Applications We recently sat down with two Experian experts to talk about commercial fraud trends and gain an understanding of why commercial fraud is on the rise, and what organizations can do to combat the problem while at the same time grant credit to growing businesses.  What follows is a lightly edited transcript of our interview. Watch Our Business Chat Interview Subscribe To Our YouTube Channel What follows is a lightly edited transcript of our conversation. [Gary]: Hello and welcome to Business Chat I'm Gary Stockton with Experian Business Information Services, and today we're going to talk about Commercial Entity Fraud with two of our experts. [Gary]: Patricio HernandezBarron is a Product Marketing Manager here in Business Information Services, and he covers the commercial fraud space. Chris Gerding is a Consultant and he also focuses on commercial fraud. Welcome to business chat guys. [Gary]: The two of you recently collaborated on a perspective paper called Identity Fraud in Commercial Applications, and the piece asserts that there's been rapid growth in commercial fraud in the past few years. So, Patricio, if I could ask you, how are B2B companies affected compared to business to consumer companies in battling fraud? [Patricio]: Let me start by saying that both commercial and consumer or B2B or B2C companies are both affected by fraud, whether this is first-party fraud, third-party fraud, or synthetic fraud. They're both affected. Now, where it becomes different is the type of solutions that are out there in the market for them to solve it. There have been a lot more advancements on the consumer front, and it makes sense, consumer trends move a lot quicker compared to the commercial side of things. [Patricio]: But, in 2020, it's been considerably harder for fraudsters to get through the filters on the consumer side. So (fraudsters) being smart, they've started to focus on the commercial lines of business, which they already know that they're a little behind in terms of the sophistication of consumer lines. So, it's opened a potential opportunity gap for fraudsters to get through and businesses can't wait any longer. They need to raise their game and make that parity between consumer and commercial lines of business in terms of the fraud mitigation strategies. [Gary]: What's the scale and size of the problem of commercial fraud? [Patricio]: It's a big problem. A recent report published by the Association of Certified Fraud Examiners stated that 5% of business revenue was lost to fraud. 55% of respondents we asked said that as of 2019 fraud attacks have increased. So there's a clear problem right now, whether these businesses are recognizing these losses as bad credit or as fraud losses, that is the first thing that they need to focus on. [Patricio]: And the thing is, many of our customers would tell us, “we don't have a fraud problem”, but it was because they weren't recognizing and discerning between credit losses and fraud attacks. So that is the first thing that they need to focus on, start differentiating and categorizing those losses differently so they can start looking into it. The other thing that I'm sharing around this topic is many times businesses tighten their credit decisioning in hopes to reduce those losses. But that was counter-intuitive because they were making it harder for potentially genuine customers to make it through the application process. And yes, the fraudsters were passing this filter or no filters but were passing this credit scoring with no problem because they knew the data that would be required, and there were again, no fraud filters in place to stop them. [Gary]: So, Chris, can you talk about some typical scenarios in which businesses, especially small businesses are typically attacked by fraudsters? [Chris]: Small businesses and any business have a lot in common with consumers. There are modes and fraud scenarios where both are vulnerable. And businesses typically have both financial assets and competitive information at risk. They could be phished; they could be socially engineered, and this is exactly what we read on a consumer basis when we hear about how to avoid fraud. [Chris]: Second, leakage of sensitive information over the other channels can result in direct fraud, like account numbers, pins, obvious targets. However, they need to misrepresent their identity in many cases. And the contact information such as the firm name, the address, the owners, or officer's personal details, this kind of information when compromised leads to potentially bigger and harder to detect, harder to stop fraud schemes. Consumers can be defrauded like businesses, but these are the more big-ticket business-specific categories that you're seeing here on this slide. [Chris]: These three represent a good slice of the many ways businesses are defrauded and small businesses with some vulnerabilities associated with not having millions and millions to spend on fraud defenses would be vulnerable to some extent. The equipment financing and leasing firms can be defrauded either out of funds or especially vehicles and heavy equipment. We see cases not many in the news, but you do hear about these, where, if you pass the finance companies fraud screen, fraudsters can successfully apply for financing and potentially come away with, I mean, a car would be on the low end of this, construction equipment for or combined for major capital items. Then they disappear. [Chris]: Number two, fake invoices are a very easy way comparably to collect perhaps smaller amounts, but these can be forged documents sent in under the wire and they are paid sometimes by very busy accounts payable people with very few defenses in place, and something that we're going to talk about later,  fraud payments figure very largely in commercial fraud. Payments that are not backed up by good funds and intentionally sent it to cover a balance on an account are a very big part of commercial fraud.  Fraudsters may actually make multiple payments, playing the timing game so they keep the account and the account balance alive and growing, or the credit balance on the account so that they can perhaps get more from the fraudulent credit relationship that they've built than the intended credit line by this timing and submission of payments.  They can do this for several industries. They can do this for all different kinds of payment items themselves. They could be done with forged paper checks, electronic payments, and sometimes counterfeit payments themselves. [Gary]: Patricio, turning to you, would profit be impacted by implementing fraud prevention filters? I would imagine that would hinder some profitable growth? [Patricio]: It's a tricky one because, you know, there's this big misconception that by applying fraud filters, that's going to affect your profit or affect your number of applications going through. And it is true to an extent by applying fraud filters, you will see fewer applications going through. But affecting your profit, it's the complete opposite. It's actually going to reduce the losses that you'll be incurring, and I briefly touched upon this in your previous question, but what many companies do when they're not able to differentiate between credit losses and fraud losses, they tighten their decisioning in their credit applications. Those potentially good customers don't make it through, but fraudsters make it through with no problem at all. Because the decisioning system that they have for credit purposes does not do much for mitigating the fraudsters. [Patricio]: Many times, these companies don't invest in fraud solutions until they've gotten this big hit from a fraud attack, at that point, it's already too late. So, I would say that the best thing to do to help your profit is to be proactive because fraud can affect your profit if you get impacted. If you're proactive about it, you can protect or reduce those fraud losses that you're currently seeing as overall fraud, or losses that could be a fraud and not just credit losses. [Gary]: What's the number one step that commercial business, especially a small business can take to combat this wave of commercial fraud? [Chris]: Awareness must be built into the culture and it must be built into the solution and how the firm deals with the solution because there's no way to solve the fraud problem with a turnkey black box, turn it on, and forget it, we don't have that. And we may not have that for many, many years. [Gary]: Can you tell me more about the first payment defaults and how lenders are addressing that problem? [Chris]: We spoke a bit about payments in general as a fraud channel, but this is a particularly aggressive form of fraud or credit abuse. And it happens when the borrowing party just never ever makes one payment on the account. They may utilize the entire credit line and they just don't ever pay. So when the first payment is in default, there's a high suspicion that this could be a fraudster. There's a little ambiguity, as I said, but the credit and the fraud dimensions are rather close. They're rather parallel, in terms of how they are dealt with. [Chris]: What are we doing about accounts that are very brazen and do this on the first payment due?  We evaluate the risk at the time of enrollment. This is very important, we don't know, who's not going to pay us the first time. So we need a tool that evaluates, in this case, we offer a score, a commercial first payment default score, which is very high performance and very friendly to the combined mix of consumer and commercial data that a firm might have. Second,  it pays to look at the risk of the entire portfolio for first payment default periodically.  Again, is done with a score, it could be the same score I mentioned. In the third category, if it's necessary,  the host firm may wish to use scoring the individual payment item, the check, the online payment as a fraud evaluation, which is done by a different set of scores to manually perform systemic checks. [Gary]: So Patricio what are some of the most common misunderstandings in fraud prevention products? [Patricio]: Fraud filters will affect the number of applications that you are able to approve. As we mentioned before, it does affect the number of applications that you'll see come through, but it will help increase your profit by incurring fewer losses. Again, fewer fraudsters make it through equals fewer losses coming into your system. The second one would be that most fraud can be solved by verifying the identity of the user. And sure, it's because third-party fraud solutions are very popular, but that's not going to help you with all types of fraud. That's why you do need a layered approach for mitigating what's going to come through the door because, at the end of the day, you don't know what type of fraud you're going to be seeing. [Patricio]: By implementing a solution that will verify the identity of the user, that's not going to help you fight all types of fraud. In fact, stand-alone, you will do very little to mitigate first-party fraud and likewise with synthetic fraud. So again, if the way to solve fraud is not with a one size fits all approach, it's layered whether you have the resources and the capacity to implement a geolocation verification, or verify the validity of the data or verify the identity of the business owner. These are all things that are just going to prevent and help you weed out the different types of application fraud that you could see (coming) through the door. [Gary]: Chris, what can small businesses do to engage with Experian and minimize their fraud exposure? [Chris]: We love to talk, especially to small businesses on a very global scale in terms of their business operations and where it is that we might be able to help them. They may come to us with a great deal of awareness that they have a fraud problem and they kind of know where it is, but they look for a specific solution. Other small businesses may come to us with general concern. And in those, and in other cases, we are happy to sit down with them and do what I would call a free consultation and look at their information and make some suggestions. [Chris]: What we do is we offer solutions, but we like to add to that the knowledge of the particular client's situation, so that they become wiser and they become enabled by the kind of services that we provide, and they become enabled by the information we can bring to them upfront so they can make a wise consumer solution as it were. [Gary]: Well fraud in the payment protection program or the PPP program is all over the news. What do you make of that?  Are these fraudulent applications affecting lenders, even though the losses would be absorbed by the government? [Patricio]: While many of these lenders know and think that the loss of the potential losses would be absorbed by the government, the reality is that it's uncovering many gaps for these lenders. First, we understand there's a greater volume of applications going through their systems. So what many of these lenders have done is either turn off, completely turn off their fraud mitigation systems, or they've reduced the amount of vetting that they do, because they're not too worried because they know that the government is going to absorb those losses because of the volume of applications that they see. Now, the problem with that is that if they completely turned off the system, now they have potential fraudsters within their portfolio, or on the other hand, if they lessened the amount of filtering that they do, and yet still some fraudsters make it through, it's going to be very hard to weed out those fraudsters down the line. It's just putting more risk to your overall portfolio, and, people, once they're in there, they've already uncovered some gaps in your underwriting process. So again, just down the line is going to be very hard to weed out these fraudsters that made it through your portfolio, [Gary]: Chris, anything to add? [Chris]: That was a good summary. I would add only that the other side of the coin is when you put many, many tens of millions of good Government money into the hands of fraudsters, you're sort of inflating the entire credit system. You're allowing bad people to get what appears to be credit for good loans until they're discovered. Many of these will probably not be discovered. So you're kind of adding bads to the system and calling them goods. And that's never good for all of us. [Gary]: Well, this has been very helpful guys.  I want to say thank you very much for coming on Business Chat and sharing your insights. Related Posts

Commercial fraud prevention causing unintended harm We often hear anecdotes from our clients about a recent string of bad debt, soliciting advice on how best to prevent future losses. Typically, with an increase in credit loss, maybe your natural reaction is to tighten up on credit evaluation criteria to screen out look-alikes?  In so doing, you can also impact the ability to grow, and in the process, exclude good customers by retooling your lending criteria, weeding out fraud. In our upcoming 15-minute Sip and Solve webinar, we'll explore whether tightening your credit score cards could unintentionally cause dozens, hundreds, thousands of small businesses not to receive the credit they deserve. Date: Thursday, April 22nd, 2021 Time: 10:30 a.m. (Pacific) 1:3- p.m. (Eastern) Session highlights Find out why misclassifying losses due to fraud as credit write-offs could impact your ability to grow your business. Learn more about delinquent small business credit behaviors versus small businesses looking to commit fraud. Discover how you can assess whether past charge-offs were actually due to fraud. Save my seat

Beyond the Trends Spring 2021 – now available     We're excited to announce the release of our second Beyond the Trends report. This report's going to deep dive into the economic trends that we're seeing in the market now. We look at some commercial and consumer credit trends that will impact recovery. And we'll deep dive into some of the industries that are most impacted. One of the things we talk about in this edition is economic growth. As excitement builds within the markets and reopening continues across different regions, we see an expectation for 7% GDP growth in the U.S. We're seeing a 27% increase in business starts year-over-year, and businesses reopened. We have new businesses emerging as well. In this report, we'll look at ways that lenders, as well as businesses, will be seen in credit markets and how growth can occur. Finally, with new stimulus in the market, consumers are ready to spend. Small businesses will look for opportunities to move from security mode and safety mode, business preservation into a transformational growth mode. Stay informed by downloading your copy of the Beyond the Trends report. Download the latest report