Disruptive technology has radically changed how we shop, socialize, book vacation rentals — and even how we hail a cab. Now we have another Web-based disrupter upending yet one more venerable American institution: how we secure small-business loans. Over the past two to three years, online marketplace lending (OML) — also called alternative lending — has made dramatic changes in the landscape of financing businesses. Companies like OnDeck, Kabbage, Funding Circle, CanCapital, Lending Club and dozens of others have created what amounts to a $1 trillion market, according to a recent article on TechCrunch. This doesn’t mean that OML is going to send traditional banks the way of typewriter and buggy whip makers. Your neighborhood bank branch and small-business lender still do and will have an important function to perform. But strict regulation and rigid business models within the traditional lending industry have left major gaps when it comes to funding activity in the small-business marketplace. It is in these voids that creative and aggressive entrepreneurs are finding not only amazing business opportunities, but also an entire class of customer that until now has been grossly underserved. What is online marketplace lending all about? How does it work? Why is it so attractive? Who are the customers? And why now? The answers to all these questions lie in one of those serendipitous confluences of economic necessity, technological advancement and entrepreneurial creativity that creates a paradigm shift in what we believe is possible. The result is a new model for commercial financing that may soon become the primary medium many small to medium-size companies use to secure the capital they need to grow and prosper. Over the next eight weeks, Experian® will deep dive into the State of Online Marketplace Lending, examining the lending market from all sides, piecing it together with opinions from thought leaders throughout the space and publishing our findings in a compendium ebook. Let’s begin by tracing this trend to its source. The roots of online marketplace lending It is said that the Chinese character for disaster is the same as that for opportunity. If so, then it makes sense that the disastrous Great Recession of 2008 to 2010 should serve as the crucible from which the alternative lending industry should spring. When the economy crashed in 2008, the Western financial industry responded by replacing its overly lax lending requirements with regulations and lending standards so strict that many businesses, especially younger or smaller ones, found it all but impossible to secure financing under any conditions. Having been burned by their formerly liberal attitudes, banks and other traditional lenders decided the best way to minimize risk was to avoid lending to all but their most financially secure customers. (In other words, the only way to get a loan was to prove you didn’t need one.) Enter the online marketplace lenders. OMLs — particularly peer-to-peer lenders — began to appear a year or so before the market crashed. The rise of Facebook and similar social media platforms coupled with rapid advances in Big Data management allowed those with capital to quickly qualify potential customers via the Internet and issue short-term loans without the red tape and regulations that made borrowing from banks such a challenge. "Technology is what has made online lending possible, online lenders benefit from having a much lower cost basis than banks. As a result, they can price their loans differently. And they can often make their lending decisions on the same day they receive an application.” Laura DeSoto Senior V.P. Strategic Initiatives   Once the Great Recession hit in force, small and medium-size businesses, finding that traditional capital sources had dried up like Lake Shasta in the California drought, flocked to these aggressive start-ups en masse. OML marketing messages soon became ubiquitous, ranging from 30-second radio spots to robocalls to business owners’ cell phones. Web-based payment services like PayPal began to offer their own business capital lending programs. To the surprise of the cynics, many of the new lending platforms actually worked. Businesses were able to borrow the funds they needed. Lenders enjoyed solid returns on their investments. And consumers reaped the benefits of an economy offering a broader range of goods and services. Today, OML looks like it’s here to stay — which is not to say that banks have reason to panic. “It’s important to note that many online lenders actually get their funds from traditional banks,” DeSoto stated. “Some people call OMLs ‘shadow banks’ because they’re able to use banks’ funds in ways that are not subject to all the same federal regulations.” What makes online lending “alternative” It is not just the source of the loans that distinguishes alternative lending from traditional commercial banking. The method, speed, qualifications and form of the loans themselves are also distinctive. As the name implies, online lending is done via the Internet. Borrowers need not walk into a brick-and-mortar bank to fill out reams of mind-numbing paperwork. Instead, they need only fill out a usually brief online application and attach whatever documentation the lender requires. What kind of documentation? Often, alternative lenders don’t require the detailed financial statements and tax returns commercial banks demand. Instead, a month or two of retail receipts may be all that’s necessary. This is because many alternative loans are not the long-term, interest-based instruments to which we’re accustomed. Instead, many alternative lenders use “factoring” or revenue-based lending in which they take a small portion of each sale as repayment on the loan. Steady cash flow is more important than yearly sales volume or annual profits/losses. Another popular vehicle is so-called “peer-to-peer” lending that often involves small loans of $5,000 to $50,000 with terms of just one to five years. And now that online lending has become legitimate in the eyes of many, we’re seeing loans or “working capital advances” in the millions of dollars. Like the most sophisticated banks, many OMLs — even some of the smaller ones — have access to advanced algorithms that allow them to evaluate a potential borrower’s suitability based on readily available business credit data in addition to cash flow, and activity data. But because their systems are mostly or even totally automated, OMLs can prequalify applicants in a matter of hours, if not minutes. Following prequalification, additional documentation may still be necessary before a loan is approved. Of course, the larger the loan, the more documentation lenders require. Online lending reduces paperwork, but it doesn’t eliminate it altogether. “Some companies still rely partly on manual application reviews. Some even promote their ‘live’ customer service,” DeSoto noted. “Still, it probably won’t be long before most online lending is 100 percent automated.” Are you a candidate for online marketplace lending? The ideal candidate for today’s online marketplace lending is a small to medium-size retail or commercial B2B company with a steady cash flow and a need for small, quick cash infusions to buy new capital equipment, hire new personnel or otherwise expand operations. Restaurants, retail stores, and B2B service companies like office equipment suppliers and marketing/ad agencies fit this profile perfectly. Because cash flow is essential, most marketplace lenders are not interested in financing start-ups. These are still the purview of venture capitalists. Most online lenders also are not interested in manufacturing companies that make perhaps one or two large sales every couple of months. Expanding the market, not cannibalizing it DeSoto stressed that online lenders are not taking business away from traditional lenders but are serving customers who probably would not qualify for traditional business loans. As such, they’re expanding the market, not cannibalizing it. “Most small businesses that have been in business just one or two years wouldn’t even be on a commercial bank’s radar,” she noted. “These people would otherwise have to rely on friends, family or personal credit for funds. Online lending offers opportunities that simply did not previously exist.” The role of business credit information The role of business credit information — including any history of missed payments, delinquencies, pending judgments, bankruptcies and overextended lines of credit — is obviously critical to marketplace lenders’ ability to quickly and accurately assess risk and advance capital responsibly. “Experian, the industry leader in consumer and business credit reporting, is proud of the part we play in making marketplace financing available to thousands of businesses nationwide and of the good this new and growing industry sector is doing to expand the economy” Laura  DeSoto concluded. So in summary, a few key points about online marketplace lending: Online applications usually are fast and simple and require minimal documentation Technology allows lenders to prequalify borrowers in hours, sometimes minutes Loans can be as low as a few thousand dollars or as high as several million dollars Most lenders eschew traditional long-term interest rates in favor of cash flow or other short-term repayments Prime customers are small, younger retail or services businesses with high, consistent cash flow Online lending is expanding the market, creating opportunities where none existed previously In future articles, we will dive even deeper into the world of alternative and online lending, identifying the major players, looking closer at the risks and benefits, and predicting as best we can where the industry is headed. Next week, Charles H. Green from AdviceOnLoan will join us to examine how different yet similar online marketplace lending is to traditional lending.   Related articles Just how alternative are today’s online marketplace lenders? How online marketplace lenders are changing the rules of small-business finance Self-Regulatory Program for Nonbank Small Business Lenders Top regulatory priorities for commercial lenders Playing to Your Strength - Opportunities for Regional Banks to Build Better Lending Portfolios Game Changer - How Marketplace Platforms Are Bringing Financial Institutions Back to Small-Business Lending Marketplace Matchmakers - How Loan Aggregators Bring Borrowers and Lenders Together New Frontiers - What's Next For Marketplace Lending?  

Originally designed as a cloud-based alternative to expensive software that was not flexible, Salesforce.com has become the platform of choice for many companies. To take full advantage of the many capabilities Salesforce provides and to avoid re-creating department silos that exist with most CRM/ERP platforms, more operational business groups are moving to Salesforce to take advantage of built-in features such as 360-degree prospect and account views, workflow, approval queues and tasks. Until now though, credit departments have typically operated in their own silo, accessing customer credit information through proprietary credit and risk management systems. At Experian, we are seeing an increasing need by finance and credit departments to be able to request, review and store our commercial data within Salesforce and quickly respond to credit requests from prospects as well as perform periodic account reviews of existing customers. To solve this disconnect, we have created Experian FusionIQ™, a new Salesforce.com Lightning-compatible app that enables B2B organizations to easily integrate Experian business and commercial credit information into their Salesforce.com CRM instance. With Experian FusionIQ™, we enable credit departments to make better credit decisions while increasing efficiency through easy access to our data. Salesforce.com no longer just for the sales department According to a recent study of financial services companies looking to deploy Salesforce.com, sixty four percent of respondents anticipated productivity gains; fifty percent expected a boost to enhanced cross-functional collaboration; fifty four percent anticipated increased visibility to customer information and thirty eight percent expected improved customer experience. Financial services companies are transitioning from utilizing Salesforce solely as a sales application to leveraging it as a platform for delivering customer engagement. Here are some of the things you can do with Experian FusionIQ™: Get a 360-degree view of all your customer accounts Payment history, public records and credit ratings are key factors when determining whether to pursue new customers or grow existing accounts. The Experian FusionIQ™ app allows you to centralize this critical information within the Salesforce.com environment, giving full transparency to key stakeholders within your organization. Your sales, finance, credit and other internal departments now can work together to optimize resources and prioritize accounts. When the Sales Department can't easily share information with the Credit and Finance departments, the approval process slows down, opportunities are lost, and customers aren’t retained. The Experian® FusionIQ™ app seamlessly adds the business risk data all your key internal stakeholders need within your Salesforce.com environment. Reports, Scoring, Alerts and Decisioning features are available to everyone on your platform, allowing them to make key review decisions in real-time. Create more proactive account-management workflows What is your process for monitoring significant changes in your accounts? The Experian FusionIQ™ app provides instant notification of late payments, defaults, bankruptcies and other changes in your customer and prospect accounts right within your Salesforce.com environment. Migrate your existing BusinessIQ℠ services into Salesforce.com Are you already using Experian’s BusinessIQ℠ to track your accounts’ credit statuses? The Experian FusionIQ™ app allows you to migrate the BusinessIQ services you’re already using into Salesforce.com easily to eliminate bottlenecks and accelerate decision making. Virtually no IT resources required The Experian FusionIQ™ app is designed to integrate automatically with your existing Salesforce.com platform with virtually no additional coding required. Out-of-the-box features give you access to reports, alerts and decisioning. Configure existing Salesforce.com features such as workflow, notifications and reporting to streamline your credit process. FusionIQ for Salesforce.com Lightning Demo  

Credit departments have long performed the important role of assessing and monitoring the health of new and existing customer accounts. However, in the wake of the Great Recession and the ensuing slow economic recovery, the need to evaluate the health of supply chain partners has become even more important. In my role here at Experian, I talk to people every day in credit and supply chain management, and I’ve found striking similarities in the roles of both groups. First, each group has an interest in understanding risk when establishing new relationships, whether it be assessing the credit risk of a new customer or determining the financial stability of a critical vendor. Second, both have a shared interest in monitoring the financial health of both customers and vendors (although it could be argued that the potential disruption associated with the loss of a key vendor might carry a much higher impact for a supply chain manager than having to collect on or even charge off a customer account would for someone in credit management.) For example, a major battery supplier for one of the leading electronic vehicle manufacturers ran into financial trouble recently, and it caused all kinds of headaches. The stock price , sales and customers all suffered. The battery company was the sole supplier to this vehicle manufacturer. With proactive credit monitoring, the vehicle manufacturer may have been able to spot signs that the vendor’s financial stability was beginning to deteriorate, and the headaches could’ve been avoided. Thankfully things worked out in the end (the vehicle manufacturer went into the battery production business.) All in the family Business family relationships are also important in credit and supply chain management. Credit professionals would be interested in Corporate Linkage because they really want to know how to manage a particular customer. Understanding if an account is a subsidiary of a parent company that they have an existing relationship with is vital, as it can affect potential opportunities or responsive strategies if they are delinquent. These insights can help make a more informed decision. For example, a credit manager may think twice about aggressively pursuing an account that may even be moderately delinquent if they realize that they also have a sizable relationship with the account’s parent company. By contrast, they might take a firmer approach with a smaller customer who is behind on their payments, but represents a significantly smaller overall spend. On the supply chain side, visibility into the structure of a parent company is also important, because if the parent company runs into financial trouble it’s likely to cause a domino effect that could quickly steamroll into a supply chain crisis. Understanding and monitoring a supplier’s corporate family relationships enables managers to ensure that they truly have adequate supply chain redundancy. As much as Corporate Linkage informs relationship management in credit accounts, it can help the supply chain manager understand how their spend contributes to the suppliers bottom line, creating additional opportunities for spend management. A supply chain manager that knows they are doing business with three subsidiaries of the same company puts them into a much stronger negotiating position when it comes to volume discounts than if they were viewing the businesses as separate suppliers. Industry Groups Focusing Attention One example of an organization paying attention to the converging credit and supply chain management methodologies is Burbank, California-based Credit Management Association, who recently established a Supplier Risk Management Group. Group Facilitator Larry Convoy agrees that credit management is critical to the health of the supply chain saying recently “During my time in credit management, I’ve often heard the following: ‘We can survive if a customer relationship goes bad, but we cannot survive if one of our primary or secondary vendors has an interruption in delivering product, raw materials or services to us.’ For that reason, we invest an equal amount of resources investigating our vendors. We've created an industry credit group based around this idea for our members, as these relationships can make or break their businesses.” Reducing Friction, Increasing Efficiency To take it a step further, credit professionals and supply chain managers are focused on reducing cost and friction, while increasing efficiencies. A client recently said that it takes 15 minutes for an analyst to review the paperwork they require of a new account that does not pass automated vetting, but on average it takes 10 days for the analyst to get the required documentation from the applicant. In some cases, businesses are limited to working with suppliers that are located within their geographical area for logistical reasons. These companies walk a fine line between operational efficiencies and assuming the right amount of risk. If the risk assessment process is too intrusive, the supplier may walk away. Asking for additional information and delays in establishing the account may put a strain on the relationship at the outset, so using third-party data sources in the risk assessment process can help enhance efficiencies and reduce exposure while maintaining a positive supplier relationship. Delinquency vs. Default One difference between credit management and supply chain is that credit departments are typically concerned with predicting customer delinquency and cash flow, while supply chain management tends to be more focused on assessing the risk of supplier default. However, if a supplier plays a critical role in the supply chain, or is not easily replaced, monitoring the supplier’s financial health is vital. It may be the difference between having to shore up a key supplier financially if there begins to be signs of increasingly delinquent payment versus having the supply chain come to a screeching halt if the supplier suddenly fails. Risk Management Trends Many credit management professionals in financial institutions used macro-economic data during the Great Recession to identify potential regional credit trends that could impact the health of their portfolios. This approach may also be valuable to supply chain managers who want to keep regional economic downturns from disrupting their supply chain. It’s smart to assess not just the supplier’s credit, but also how regional credit trends in the supplier’s area may impact the supplier’s financial health. For example, according to Experian , four of the top five metro areas for bankruptcies in the transportation industry are in California. If a company relies heavily on a transportation company in California and that supplier is somewhat dependent on their local market for their ongoing financial wellbeing, it might be wise to have additional transportation suppliers who can provide similar services, but who are headquartered in less economically volatile areas of the country. At the end of the day, there are far more commonalities than differences between credit and supply chain management. Utilizing proven credit risk management tools, and the data that powers them can help reduce weak links in the supply chain and help steer clear of unpleasant surprises. To learn more about Experian risk management solutions contact us at https://www.experian.com/b2b or call 877 565 8153.  

In 2014 the Subcommittee on Small Businesses and Entrepreneurism published a report that said only 4% of the total dollar amount of business loans go to Women owned businesses. After hearing of this report, Experian Decision Sciences decided to conduct a study of Women Business Owners to see how they were doing. The big "ah ha" moment for us was when we looked at this data and discovered how similar the Men and Women's credit profiles were. The commercial Intelliscore Plus scores were quite similar, the consumer credit scores are very similar, so we wondered why only 4% of small business loans was going to Women. One potential reason why Women might not be getting the credit they deserve on the business side is the credit utilization rate on their consumer credit. Utilization rate is the balance-to-limit ratio, and it tends to be higher for Women owned businesses than it is for Male owned businesses. And that could be a legitimate reason why lenders are perceiving Women owned businesses to be higher risk. Another aspect of our study pertains to the industries Women and Men are working in. Women owned businesses tend to be focused on personal services like beauty shops and child care, while Male owned businesses tend to be focused on industries like general contracting. Why is this important? Because the mix of industries carries different levels of sales amounts. We know that 14.5 percent of Women owned businesses have sales above $500,000 while Male owned businesses have 24 percent that have greater than $500,000 annual sales. It's important for business owners to understand all aspects of their credit, because the more that they understand, the more power they will have when they go in to apply for a loan. We created two Snapshot Infographics for this study which show the differences between Women owned businesses and Male owned businesses.  

Imagine for a moment a young parent who has been laid off from their job. After months of looking for work they still have not found a job. To make ends meet they start doing landscape work for neighbors in the area, eventually jump-starting a landscaping business to provide for their family. With some hard work, they start to build up a clientele in the local neighborhood. While they are starting to get back on their feet slowly, they realize at the current rate, the business will not completely meet the needs of their young family. If they could borrow just $3,000 to buy some more mowers and trimmers, however, they could hire two friends and double the size of the business. With that in mind, let’s assume that they have a mediocre credit score, their credit card has a credit limit of $1,000 and they are maxed out. Furthermore, they don’t own a home to borrow against, and the loan size they are seeking is too small for a bank to even consider. However, if they could get a $3,000 loan, they could expand their business, create two new jobs and better provide for their family. There are folks just like the person described above all across the country looking for help. But where do they turn? Alternative financing options provide an avenue for entrepreneurs and other small business owners looking for commercial funding, who are otherwise turned down from more traditional financial institutions, such as banks and credit unions. By leveraging business credit data from credit bureaus, such as Experian, as well as other data sources, alternative financers are able to make lending decisions and extend credit to this segment of small business owners, enabling them to finance their company’s growth, ultimately stimulating the economy. One example of an alternative financer using such data to help open opportunity for small businesses is Opportunity Fund, a non-profit micro lender in California. Otherwise known as Community Development Financial Institutions, these micro lenders aim to create economic opportunity for underprivileged businesses in the U.S. And the need for these alternative financial institutions in California is critical. Despite recent upticks in our economy nationwide, things are still very tough in the Golden State. New data released by the Corporation for Enterprise Development (CFED) show many Californians are still struggling to gain a foothold in the economic recovery. CFED’s 2015 Assets & Opportunity Scorecard ranked California 50th among all states and the District of Columbia, for its large number (15.8 percent) of underemployed workers, 49th for both its home ownership and housing affordability rates, and dead last (51st) for high school degree attainment. Source: Corporation for Enterprise Development (CFED) Needless to say, there are a number of small business owners in California looking for financing to help grow their business. Organizations like Opportunity Fund help these business owners find affordable funding, and educate them on what they need to know about expanding. How alternative financers are helping? Opportunity Fund CEO, Eric Weaver & Rosa Funes A prime example of how alternative finance options are helping small businesses is the story of Paradise Flowers and Gifts. In Opportunity Fund’s most recent video, CEO Eric Weaver describes first meeting Rosa Funes, and how she described her longtime love of flowers. As a loan officer at the time, Eric described going to Rosa’s home and knocking on her door. She needed $500 to start a flower business. The amount was smaller than they had ever considered, but Eric was so moved by her story and her drive that he looked at her and said “Yes”, and told her “Rosa, you have a dream, don’t stop.” Alternative finance options, like Opportunity Fund are working hard every day to help small business owners and entrepreneurs gain the financial footing they need to succeed. After all, they are the backbone of our economy. The work that Opportunity Fund and other alternative financers have done will create a powerful ripple effect to drive economic opportunity across California, and the rest of the country. It’s the perfect example of how data can be used for the betterment of society and helps these smaller entrepreneurs grow.

Building financial capability and improving access to credit is essential for economic growth in our country. This is especially true for entrepreneurs, many of whom rely on their personal consumer credit standing when applying for a loan for keeping their small businesses strong or for a capital injection to expand their operations. While commercial lending has made a steady increase since the height of the recent economic recession, a recent report from Experian finds that women business owners continue to trail their male counterparts when it comes to commercial and consumer credit scores. Gender gap in access to both commercial and consumer credit The findings make clear that a gender gap exists in both commercial and consumer credit files: The average commercial credit score for a woman-owned business is 34, while the average score for a male-owned business is 35; The average consumer credit score for women business owners is 689, compared to 699 for male business owners; More than 22 percent of male-owned businesses have at least one open commercial trade line, while the same can be said for only 18.5 percent of women-owned businesses; In the last 24 months, female business owners had an average of 1.3 personal accounts become 90-plus days past due, while male business owners had an average of .9 go delinquent. This has a direct and quantifiable impact on the bottom lines for women-owned businesses. For example, Experian’s analysis found that more than 24 percent of male-owned businesses have sales that exceeded $500,000, while only 14.5 percent of women-owned businesses see sales of that size. In addition, 21.2 percent of male business owners have a personal income of $125,000 or greater, compared to just 17.4 percent of women business owners. Policymakers recognize the need to improve credit access for women-owned businesses Developing sound public policy to improve access to credit — especially for women and minority-owned business owners — is a top priority for policymakers in Washington, DC. In July 2014, then-Senate Small Business Committee Chair Maria Cantwell (D-Wash.) released a report, entitled “21st Century Barriers to Women’s Entrepreneurship.” The report took a wide-ranging look at some of the challenges that women face in starting a business. In particular, it found that “$1 of every $23 in conventional small business loans goes to a woman-owned business.” Look for legislative proposals to aide small business owners Look for Congress to continue to discuss policy proposals aimed at increasing access to fair and affordable credit for consumers and small business owners alike. One such proposal that has garnered bipartisan support would make it easier for utilities and telecommunication providers to report positive, on-time credit data to the nation’s credit bureaus. While they have long made pricing decisions based upon the full-file credit data furnished by traditional creditors, like lenders and retailers, telecommunication and utility companies have historically only furnished derogatory data, such as when an account is in collection. Including both positive and negative data from these sources will enable tens of millions of thin-file consumers — and small business owners — with a proven record of meeting monthly financial obligations to access fair and affordable credit. Experian welcomes the opportunity to work with policymakers to help improve access to fair and affordable credit for consumers and small business owners alike. Resources for business owners Understanding and monitoring their company’s business credit profile to ensure it is in good standing is essential for small-business owners to gain access to necessary capital. With the insights that business credit reports provide, small-business owners can take the appropriate actions necessary that will positively impact their business. Experian provides some helpful resources to help small-business owners gauge the health of their business, including: BusinessCreditFacts.com — An authoritative source for understanding and learning about the benefits of managing business credit. Visit http://www.businesscreditfacts.com. Experian Business Credit — A site that enables small-business owners to access a copy of their business credit report as well as understand the impact that maintaining a positive credit profile can have on a small business. Visit https://www.experian.com/businesscreditreport. Business Score Planner™ — An education tool for business owners to understand how financial plans and changes to commercial credit information can impact a business credit score. Visit http://sbcr.experian.com/scoreplanner.  

Ten years ago movie night at our house would usually include a run to the video store where we would pick out a selection from the New Arrivals section, some candy, perhaps some popcorn and we would have our fingers crossed the selection was a good one. Nowadays it’s not uncommon to find us binge watching streamed episodes of “House of Cards” or “Mad Men on weekends.” What’s even more gratifying is after watching “House of Cards” unprompted, Netflix now recommends “The Newsroom” and other shows we invariably like. How do they know we would like these shows? This is predictive marketing at work, driven by big data. Netflix has developed sophisticated propensity models around each member’s viewing habits, and the net result is a better viewing experience with the service. We make amazing entertainment discoveries every week. In business marketing propensity models will determine which prospects or customers are likely to respond to a particular offer. For example, the marketing department of a large financial institution seeking to expand their commercial small business loan portfolio, might want to segment and target commercial lending offers to a concentration of customers most likely to accept a particular offer. When applied in business, propensity models can unlock opportunities for increased profit, share of wallet and deeper engagement with prospects and customers. At Experian, in a typical propensity modeling engagement we will first meet with our customers to understand their goals and objectives. We talk first about pre-screen criteria that enable us to screen out prospects that would not fit into the criteria. A sporting equipment manufacturer would probably not sell to companies in the mining or agriculture industries, so we weed out the ones least likely to lead to a successful conversion. Our data scientists and statisticians get to work on large data sets and evaluate a number of factors. Experian will then develop a customized response model that will identify significant characteristics of responders vs. non responders and therefore will maximally differentiate responders from non responders. Since (holding other factors constant) a higher response rate is preferred, a response model can help lower the cost per response. The response model will generate a “score” that can be used to rank order the prospects base in terms of response likelihood. The response model can be used in two different ways to achieve maximum effectiveness. It can be used to optimize the number of responders for a given sized solicitation, or it may be used to minimize the number of solicitations in order to achieve a budgeted number of responders. A high response score will indicate someone who is likely to respond, as is shown graphically in Exhibits 1 and 2. This work results in a model of the ideal target to which an offer would most likely resonate with. This is called a lookalike. The marketing department at our large financial institution might start off with a large list of potential candidates to send the offer via direct mail, 1 million for example. But mailing an offer to that many people may be cost prohibitive. A propensity model can identify prospects most likely to accept the offer, so your direct mail campaign is more targeted, thereby increasing ROI. A highly targeted mailing to your ideal targets is a safer bet, and would make for a much more predictable outcome. The marketer can feel more confident mailing an offer to lookalike prospects because the chances of successful conversion are that much higher. That’s the case for Woodland Hills based ForwardLine, who have been providing alternative short-term financing to small businesses since 2003. Working with Experian Decision Analytics, ForwardLine did an analysis of their direct marketing program and determined that 22 percent of direct mail was generating 68 percent of their underwriting approvals, exposing a significant gap in wasted marketing funds. The Experian Decision Analytics team developed a custom model which enabled ForwardLine to algorithmically target lookalike prospects with a higher propensity to convert into a successful loan engagement. Michael Carlson, V.P Marketing, ForwardLine ForwardLine Vice President of Marketing, Michael Carlson is thrilled with the initial results. “Working with Experian we were not only able to improve performance, but we are able to reduce our marketing spend, while achieving the same results. We have taken our direct marketing effort from a small program that was profitable, but not meaningful in terms of generating significant volume, to working with Experian to achieve remarkable results. It’s largely why we enjoyed 20 percent growth this year.”     Best in Industry Credit Attributes Experian clients use our archived Biz AttributesSM along with collection specific data elements as independent variables for propensity model development. Experian’s Biz AttributesSM are a set of commercial bureau attribute definitions (includes several key demographic attributes as well) which are accurately developed off Experian’s Commercial BizSourceSM credit bureau. When used for response model development, Biz AttributesSM provides significant performance lift over other credit attributes. Biz AttributesSM are also effective in segmentation, as overlay to scores and policy rules definition, providing greater decisioning accuracy. Additionally, at Experian we are constantly monitoring our growing data warehouse looking for ways to develop new attributes. We live in an ever changing market place which requires us to develop new credit and demographic attributes as well as making enhancements to existing attributes. This process takes a disciplined, rigorous, and comprehensive approach based on experience guided by data intelligence. Our goal is to provide world-class service and the industry’s best practices for modeling attributes. To keep pace with market changes, new attributes are developed as new data elements become available, while raw data elements and existing attributes are monitored and managed following rigorous and comprehensive attribute governance protocols to ensure continued integrity of attributes. If you would like to learn more about propensity models, contact your Experian representative today.

In many cases, business lenders often rely on the commercial credit of the enterprise coupled with the personal credit of the business’s owner when making lending decisions. This is especially true for sole proprietorships and partnerships. To that end, regulatory action and public policy initiatives aimed at consumer credit often times can have a direct impact on commercial lenders. This blog takes a look at some of the top regulatory priorities for business lenders within the credit ecosystem. Ensuring the accuracy of credit data Over the past two years, the Consumer Financial Protection Bureau (CFPB) has taken several actions to make clear that it believes data furnishers — including lenders — are responsible for ensuring the accuracy of the credit data that they report to credit reporting agencies (CRAs). The CFPB issued two bulletins — in September 2013 and February 2014 — reminding data furnishers of their responsibilities under the Fair Credit Reporting Act (FCRA) and the need to properly conduct investigations when a consumer disputes an inaccuracy. The CFPB backed up these bulletins with an August 2014 enforcement action against a lender that it said failed to fix flaws in its software system that were causing it to report inaccurate credit data to the CRAs. Debt collection practices remain in the spotlight Another top focus of regulators that may overlap with small business lending is increased scrutiny of the debt collection market. Within the collections industry, the CFPB has focused on problems related to how information about a debt is transferred from a first party to an outside agency or debt buyer, as well as the standards and timing of when a collections item goes onto a consumer’s credit report. To that end, in December 2014 the CFPB announced that it was requesting the national credit bureaus to provide regular accuracy reports that highlight key risk areas, including disputes, for consumers. The CFPB will use these reports to help prioritize their work on accuracy metrics, including: furnishers and industries with the most overall disputes; and furnishers with high disputes relative to their industry peers. The CFPB also released an Advanced Notice of Proposed Rulemaking (ANPR) in November 2013, covering a wide array of complex issues within the debt collection market. It’s expected that they will release the first version of its proposed rule for the collection market in late 2015 – early 2016. Policies boosting financial inclusion are also critical for business lending Commercial lenders should also pay attention to efforts by policymakers to improve financial access for the more than 60 million American consumers that either have a thin credit history or no credit data at all. In the case of an entrepreneur, a thin or no hit credit file would make it much more difficult to access affordable capital. One way to improve the ability for unbanked individuals to access affordable credit is through the reporting of on-time payments made to utility, telecommunication and rental companies by consumers — often referred to as “alternative credit data.” While they have long made pricing decisions based upon the full-file credit data furnished by creditors, historically telecom and utility companies have only provided negative data — i.e. late payments or if an account is in collection. Including both positive and negative data from these sources will enable tens of millions of thin-file consumers — and small business owners — with a proven record of meeting financial obligations to access fair and affordable credit. The CFPB weighed in on the importance of including alternative data in a 2013 report on financial empowerment. Bipartisan legislation has been introduced the past two sessions of Congress that would clarify federal law to encourage utilities and telecom providers to report positive credit data to the nation’s credit bureaus. Coming soon: CFPB data collection on women and minority owned businesses Small business lenders are also keeping a close eye on the development of the new data collection requirements under the Dodd-Frank Act. Despite the CFPB being primarily focused on consumer lending, the agency was tasked with implementing a provision of the Dodd-Frank Act that required lenders to ask small business applicants if the business was women or minority-owned. The problem is that this question is currently prohibited under Equal Credit Opportunity Act (ECOA), as a creditor cannot inquire about the race, color, religion, ethnicity or sex of an applicant. The CFPB will ultimately have to provide guidance to help resolve the conflict between these two laws. While this new sweeping data collection mandate will not become effective until the CFPB adopts the necessary regulations, it’s easy to see how this could ultimately impact small business lenders. As many have said before, small businesses are the lifeblood of our economy, but they need funds to grow. We’ll want to keep a close eye on each of these initiatives, as the regulatory impact can be huge for small business lenders, and the ability for small businesses to access capital.

At the recent “Future of Data-Driven Innovation” conference, Emery Simon of the Business Software Alliance noted that each day 2.5 quintillion bytes of data is gathered. How much data is that exactly? To put it into tangible terms, if this data was placed on DVD’s, 2.5 quintillion bytes would create a stack tall enough to go from Earth to the Moon. As Experian’s CEO, Craig Boundy recently blogged, at Experian, we have deep experience harnessing the power of data, in fact; we have been doing it since 1897. Using our insights to help merchants and consumers by providing an annual credit reference directory, we were using “Big Data” before it became a buzz word. You can read Craig’s blog post here. But let’s talk for a moment about the economic impact Big Data can have on society. A recent McKinsey report estimates that improved use of data could generate $3 trillion in additional value each year in seven industries. Of this, $1.3 trillion would benefit the United States.     “Improved use of data could generate $3 trillion in additional economic value each year in seven industries.” McKinsey report: Open data; Unlocking innovation and performance with liquid information As consumers, we see the power of Big Data everywhere these days. Local and State governments are using data to tackle policy objectives like kick starting their economies and driving down crime-rates. In health care, Big Data is being used to reduce infant mortality. Researchers analyzing large data sets of vital signs from premature born babies discovered that whenever the vitals seem to stabilize, there is a high probability that a baby will suffer from a dangerous infection just a few hours later. Stable vitals are red flags, and recognizing them enables doctors to treat an infant before the full onset of the infection. And public health agencies are predicting and managing emergencies from the flu to Ebola with big data algorithms. HealthMap.org is an innovative mapping website that uses algorithms to scour tens of thousands of social media sites, local news, government websites, infectious-disease physicians’ social posts, and other sources to detect and track disease outbreaks. When healthcare workers in Guinea started to see patients with Ebola-like symptoms and blogged about their work, a few people on social media mentioned the blog posts. These blog post mentions were picked up by Healthmap. The result, an algorithm using big data told the story of a looming Ebola outbreak nine days before the World Health Organization formally announced the epidemic. Google can predict the spread of the flu, not through mouth swabs or by interviewing doctors, but simply by analyzing billions of search terms they receive from users of their search engine every day. The city of Syracuse, New York wanted to understand why certain neighborhoods declined over time. The city was struggling with abandoned housing, a phenomenon that is often associated with crime, poverty, and health issues. Analyzing local education, social services, economic, real estate, and police data, the city of Syracuse worked with a team of IBM Big Data analysts who demonstrated that certain trends can presage a decline in public safety, property value, and small business growth. Big Data applications in business In 2008 Starbucks CEO, Howard Schultz was forced out of retirement to get the company back on track after closing hundreds of under-performing stores. Starbucks now employs a disciplined data-driven approach to store openings by using Esri’s ArcGIS Online software, a sophisticated mapping platform which blends maps with demographic data. Starbucks can now pinpoint where their new stores should open, where they can be the most successful. Big Data correlations help Amazon and Netflix recommend products to their customers. In automotive manufacturing, predictive maintenance based on Big Data correlations enables companies to predict when a car engine part needs to be exchanged before the part actually breaks. In computer distribution, algorithms which analyze buying trends and payment data from millions of transactions can pinpoint the segment of customers who will soon stop buying. Identifying this cross-section of soon-to-quit customers enables sales organizations to proactively ramp up customer retention strategies to mitigate the risk of lost business. This helps our economy and our businesses thrive. In agriculture, there are companies and universities blending hardware with big data. Apple farmers in the Midwest are using bug traps fitted with sensors that can identify specific types of bugs in the trap. The traps are connected to the Internet in a data portal that the orchard manager can see where an infestation begins and stop it in its tracks. Being able to turn insights into action, farmers can use data analytics on bug infestations to use fewer pesticides, grow their crop more consistently and more profitably. Big data delivers tangible savings to tax payers The U.S. voter registration system is a challenge to manage. List maintenance can be difficult, and the system needs an upgrade. An inaccurate voter registration file can cost the government between $1 and $2 per year. For a state with 5 million voters, this could mean a cost of $0.5 to $2.5 million per year or more in additional costs, depending on the actual condition of the voter file. Orange County, California was able to update more than 297,000 voter records using information from TrueTraceSM, one of Experian’s most powerful data hygiene products. It draws from Experian’s core consumer credit database of more than 220 million consumers and 140 million households, as well as access to 100 million wireless phone numbers. Orange County saved over $44,000 in the first election alone – savings that will grow with each passing election as the county avoids mailing materials to out-of-date addresses. There are a lot of things to be excited about in the realm of Big Data. As Julie Brill, Commissioner of the Federal Trade Commission remarked at the recent Future of Data-Driven Innovation conference, “The data driven economy will not thrive unless the bits of consumer information collected and analyzed are used to benefit the consumer – plowed back into the relationship between businesses and their customers to make it stronger, deeper, and ultimately more profitable.”