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The lease for the $50,000 office equipment seemed like any other order at first glance. The customer passed the credit check without issues. But when the multinational corporation was unable to collect payment, it dug deeper and realized that the ship-to address was a residence. With more research, the business discovered that its “customer” had used stolen identity information to pass the credit check. Because the company did not use systems to check for fraudulent ship-to addresses, the fraudulent order was unnoticed and the company fell victim to ship-to fraud. Although only a handful of the company’s customer accounts were fraudulent, the company lost a significant amount of money last year because each account included large six-figure deals. What is ship-to fraud? In a ship-to fraud scheme, a criminal poses as a customer and presents a verifiable billing record, address and credit history. Companies often deem these criminals as credit worthy because their records are up to date and they have a good credit history. Often, the first few orders placed are for smaller items and the bills are paid on time, which increases the criminal’s credit limit. The criminal then places a significantly larger item and never pays the bill. Because the shipping address is a location unrelated to the actual business, the criminal can easily pick up the order and sell the goods. While ship-to fraud happens with consumer goods, the impact is typically more significant in the B2B world because the cost of the goods is higher. Also, most consumer goods are paid for before the items ship. However, B2B companies often extend lines of credit to customers or bill at set intervals, which means products are often shipped before payment. Keys to reducing risk Here are five ways you can help prevent B2B ship-to fraud at your company: Review your business application process. Most companies ask for headquarter information when determining the creditworthiness of a new business customer. However, many companies have products shipped to locations other than the headquarters. During the application process, capture all operating locations on the application. This makes it easier to determine which shipments are going to legitimate addresses and those that may be potentially fraudulent. Compare ship-to addresses with all operating location addresses. If a product is being sent to a location that was not listed on the business application as an operating address, there is a risk the purchase is fraudulent. The risk is even higher if there is large physical distance between the ship-to address and the customer’s operating and billing locations. Determine if the ship-to address is a freight forwarder or consolidator. If the ship-to address includes a container number, it is possible that the purchase is fraudulent. Criminals often use freight forwarders and consolidators to receive fraudulent purchases because it creates more anonymity for the fraudster. Check to see if the ship-to address is a P.O. box. Because most businesses don’t use a P.O box for product orders, a P.O. box used as a ship-to address should be a red flag for potential fraud. P.O. boxes are another way criminals anonymously receive purchases. Look up the address on Google. Put the address into Google and see if the business placing the order shows up in the search results. If not, look for these red flags: - A residence – Consider if a home-based business is likely to order the product. - A forwarding or consolidating business – Some of these types of businesses do not use container numbers in the address, which means physical verification is your best protection. - Property for sale – While shipments to properties on the market can be legitimate, this raises concerns because criminals often use vacant buildings as ship-to addresses. View the location on Google Maps. By viewing the photos online, you can get further verification that the address is an actual business. You can often get a feel for the area and see if there are a lot of vacant buildings or other red flags. Be sure to check the data on the photo to see if it was taken relatively recently. Empower employees to escalate potential fraud. Your employees are your first line of defense against ship-to fraud. They are the ones processing the orders, printing the shipping labels and packing the boxes. Train your employees on potential red flags and have a process to handle concerns. Encourage employees to pick up the phone and speak with customers to clarify any concerns about the address. If they aren’t convinced it’s a legitimate order, have a process for the employee to stop the shipment and escalate the issue up the chain of command. Many legitimate businesses and shipments may have a single red flag for ship-to fraud. However, when an order has multiple red flags, you should be especially cautious and delay the shipment until the shipment is proven legitimate. Because manually confirming all ship-to addresses can be time consuming, many businesses are now using automated solutions to flag suspicious orders. Your B2B company can save money and time by using a system to help eliminate ship-to fraud. By waiting to develop a process to prevent this type of fraud, your company risks becoming the next cautionary tale.  

So you’ve created the perfect campaign with great creatives and an unbeatable offer. You deploy the campaign and sit on the edge of your seat waiting for all the leads to flood in. After a couple of days, you notice a couple of responses but nowhere near the volume of what you were hoping for, and you’re stuck asking yourself “why?” Here are a couple of hypotheses: 1.) the people you reached out to aren’t the right audience so they don’t care about your offer, or 2.) your target audience didn’t see your efforts because you used the wrong channel. The process of finding new business customers can be expensive and sometimes unpredictable, but it doesn’t have to be. Here are 3 tips to help improve your prospecting efforts: Tip #1: Define your ideal customer One of the most fundamental ways you can help grow your current customer base is to have a clear understanding of what they actually look like (or defining what they should look like). What’s their job title? What are their biggest business challenges? Are they web savvy? How do they prefer to get industry news? Addressing discovery questions like these allows you to better understand who you’re talking to and how to talk to them. Additionally, you’ll be able to use this profile to help you mimic your best customers and target look-a-likes.   Tip #2: Target new businesses Get your products/services in front of new businesses before your competitors. Not surprisingly, many marketers overlook targeting new businesses because of the lack of data -- how do you know a new company is in business? How do you know if they’re the right business for you to even target? Fortunately, there are many services in today's market that can help fill in the gaps. Using something like Experian’s US Business Database, which is a database of more than 16 million active U.S. companies, can help you discover new businesses sooner and beat out your competitors to reach them first.  Tip #3: Find the decision-makers Identifying the right businesses to target is important, but ensuring that your offer gets in front of the right person – the decision maker – is even better. By finding the decision maker and directing your marketing efforts towards them, you can rest assure that your message lands in the hands of the person that matters most. Want to take it one step further? Once you know who you’re talking to, you can tailor the message and offer to be more relevant for that specific audience, which ultimately helps increase your chances of getting a response.      Finding and reaching new business customers can be a daunting and expensive tasks, especially if you don’t target your prospecting efforts. Be sure to keep these tips in mind when approaching your marketing strategy and don’t let today’s data challenges hold you back. Learn more about Experian's US Business Database or our other marketing capabilities.

I had the pleasure of speaking with Kelly DeBoer recently. She is a Product Manager at Experian working in Business Information Services. Kelly leads product strategy for our business marketing products. In this Business Q&A we talk about B2B marketing trends and how Experian is helping business clients get the most out of their marketing initiatives. Gary: B2B marketing has changed significantly in the last five years. What are some of the important trends that you're seeing? Kelly: What we're seeing in the B2B space is really what we've seen in the B2C space for years, and that is, our clients are really trying to gain as much insight into their not only existing clients but potential clients as well? So you know additional firmographic information, credit information, anything that gives them a fuller picture of their clients, and then not only how to retain their existing clients and cross-sell, but also in terms of prospecting, how to best reach these targets once we've identified them what's the best channels to reach those prospects to get the best response. Gary: Kelly, most of our clients think of Experian Business Information Services as firstly business data and credit risk management. So how are we helping clients with their marketing initiatives? Kelly: With regard to B2B marketing, Experian has a tremendous amount of marketing assets including not only our U.S. Business Database which has over 16 million businesses. We also overlay that with our credit information, so clients can come and tap into this this huge resource to help them with their targeting in terms of selecting by firmographics, employee size, sales volume, as well as credit attributes, UCC filings, bankruptcies, information that can be translated to marketing campaigns. It can be utilized for direct marketing, for telemarketing, for digital applications - social media, email campaigns, analytical solutions, modeling. So it's a vast amount of resources that we can tap into to help with marketing campaigns. Gary: Can you share about some B2B marketing solutions we can look forward to from Experian? Kelly: Experian has a lot on the horizon with regard to B2B marketing. But one thing I'm particularly excited about is our new B2C linkage business to consumer linkage. Ultimately our clients have been coming to us saying you know, we're looking for a way to link our consumer records to any businesses that they may be associated with. So we create a customized linkage system that allows us to take in those consumer records, match them to our commercial repositories, and then provide back information that allows our clients to then not only target that consumer at their residential address but also their business address. So it gives them a chance to cross-sell and up-sell commercial offers as well as their consumer offers. Experian Business Marketing Solutions

Carl Stronach is the Senior Product Manager for Experian’s API Developer Hub. We sat down with him recently to discuss how API’s are helping business clients solve problems, and to get answers to some frequently asked questions about Experian Business API’s, how they work, and how developers can get started using them. What is the API Developer Hub and Why Did Experian Launch It? The Experian API Hub is a one stop shop for all Experian data. Whether client developer’s come into Experian to access our information on businesses, consumers, automotive data, data quality, they can find all our API’s in one place through one developer account. It makes it much easier for developers to come in find all the data assets that Experian has and start testing that data in just minutes. So clients are coming into the API hub and they’re coding to our API’s to integrate that data into their applications. And so one of the most exciting things that I find is when clients will share a screenshot with me of all our data that’s live in their application. Can you give us some examples of the kinds of apps clients have connected to the hub, do we know what data is being used for? We see clients using the API is for a variety of reasons. The first one would be your traditional credit underwriting.  They need to have a Credit Manager access Experian data within their own application so that they can make a credit decision. The API makes it easy to put all the data that a Credit Manager needs on one single screen. That’s what they are designed to do. And so that’s probably the first use case. The second use case that clients are coming into is when they’re running their own platform. Clients are coming in. They might be a fintech company. They might be a special niche provider of business information on a specific industry. So the API’s enable not only Experian to have a direct relationship with clients and end users, but also enable our own partners to give their end users access to Experian data within their applications as well. Does the Experian API Developer Hub open up opportunities for new business models? We’re enabling new types of clients to come into Experian and start working with our data, clients who would have never done that before. We’re opening the market to these types of developers to create new types of innovations. It spurs innovation. So yes, we think the API Hub enables new business models to be created. One of the ways we’re tackling that is by making the API’s available for startups making the API’s available for startup incubators. There’s all these little networks of startup incubators that allow all their startups to get access to different data assets, or different API’s to solve these business problems. Experian is getting into those incubators to allow our data to be at the fingertips of these startup environments where we can go a step further than just the public developer portal access that we provide to everyone. For some of these businesses that are in these incubators, we can provide production grade data to businesses who are just starting up. Normally they wouldn’t have the capital or funds to access our data in the production environment if they were to come to us directly, but as a part of these programs they can get started in creating a real application at a relatively low cost in those early phases of their business. What are the key benefits of using an API over other processes such as batch delivery? Many clients today might be using a batch process to automatically update their portfolio. There are certainly many benefits to using a batch process. It’s a bulk process. We offer very competitive pricing when we’re talking about batch delivery. The disadvantage is that the data isn’t real-time. Underwriting decisions are best supported by access to fresh data. That’s real-time, and that’s exactly what the APIs do. So when a client makes an API call to us we calculate data based on the data we have available at that time. We’ll pull data to create calculate a score on the fly, a fresh score. Every API that we have delivers data that we have in our database in real-time, so that real-time data that you can get at your fingertips when a client is completing an application, and you can use that data in real-time to make real-time decisions. So there are a few different ways. Where can people learn more about Experian API’s? The best way to find out about our API is to go directly to our API developer portal. The API developer portal is at developer.experian.com. If you visit, you’re able to go to the portal see the API’s that we have, read our API documentation. You can register for an account in just a few minutes and start making test API calls to start seeing how you might interact with Experian data and integrate that into your application. Other ways that we’re supporting clients interacting with our API’s – we are focused on not only say Credit Managers, and those traditional use cases that we’re working with, but we’re really focused on the client developer, and so we’re trying to make it as easy as possible for developers to code to our API’s. We’re doing things like creating libraries. We have some developer libraries that are out on GitHub right now. There’s a Node.JS library and a Java library that is available. We also can provide what’s called a Postman collection to our developers. Basically, it lets them download our API’s onto their computer and start making test API calls to any of our API’s in just a few minutes. It makes it super easy to start coding and interacting with our API’s. We’re trying to provide these open source ways for developers to start working with Experian data. And you know we’re looking for that client feedback. You know, what types of developer libraries can we create to make it easier for you to code to our API’s and integrate. We want to make API integration as easy as possible for some clients, so we’re going the extra mile to create open-source code that makes it really easy to interact with Experian API. Experian API Developer Portal

Andrea Schmalzer is an analytical consultant in the Commercial Data Sciences team here at Experian, and she just completed a study of the mining industry titled "Managing volatility: the unique credit risks of the mining industry", so we did a quick Q&A with Andrea about her research. Gary: Hi Andrea, why did Experian study the mining industry? Have there been any notable changes to this industry in recent years? Andrea: Hi Gary. We decided to study the mining industry in order to evaluate the impact the mining industry has on small businesses that are supporting that industry. Knowing that there will be some volatility as we see shifts in which fossil fuels are predominantly being used. As far as changes go, we have seen a decrease in coal production. Some of this is due to the fact that we had the big boom in natural gas which caused the natural gas prices to decrease substantially. And also just due to the fact that the coal supplies are decreasing overall. Gary: Can you tell us what states driving the bulk of the mining in the United States. Andrea Schmalzer: So Texas is the number one oil and gas producers in the country. As far as natural gas we also had that being mainly produced in Pennsylvania and Oklahoma. For oil, we do see that being produced in North Dakota and California, and as far as coal mining goes that comes from Wyoming, Kentucky and West Virginia. Gary: Andrea what impact has the decrease in natural gas and oil production had on the local small business economy? Andrea: So, North Dakota was one of the most impacted states when the prices of oil dropped because they decided to stop drilling because it wasn't cost effective. So we did see employment drop quite a bit in the oil and gas industry. But overall as a state North Dakota is still under a 3 percent unemployment rate. Some of those folks are now working in retail or grocery stores, gas stations in hopes that new drilling will come up again. For businesses though we do see delinquencies shrinking in the retail segment also in the manufacturing segment. However we do see charge off's increasing for both retail and manufacturing which is one area we need to keep an eye on. Gary: With the falling supply of coal in West Virginia what trends are you seeing in business credit and delinquency? Andrea: Like you said we've seen a large decrease in coal production in West Virginia, most notably in the southern counties of West Virginia. And with that we've seen an increase in unemployment and in some cases an increase in delinquencies. For example the retail and service industries have seen an uptick in delinquencies in southern West Virginia compared to the rest of the state. But we aren't seeing write off's come through yet. So an area to keep an eye on. Also overall in West Virginia we do see higher delinquency rates in the agricultural industry for the coal counties versus non-coal counties. But again, like retail and service we aren't seeing the write the off's come through yet. So definitely an area we need to keep an eye on. Download Whitepaper

Here at Experian, we work with many clients whose customers and suppliers operate all over the world, and one of the biggest challenges for many is being able to detect financial duress by monitoring companies whose headquarters are outside of the United States. Early identification of negative activity helps your company prevent lost revenue and service interruptions, it also helps minimize reputational damage caused by doing business with a company in violation of U.S. laws. These early notifications can also help mitigate the effects of changing economic conditions while growing new business opportunities with lower risk. Today we are thrilled to announce that Experian’s commercial alerts now enable you to monitor more businesses in more countries with greater precision. Experian now offers 25 alerts on 8 countries in Western Europe, with 8 more countries coming soon! These international alerts offer the ability to stay up to date on changes such as: change in ownership, business name and address, as well as changes in credit limit, balance sheet information, and company status and much more. Proactive notifications empower you to act quickly and mitigate risk, collect on overdue amounts and retain your best customers. Want to know more? Contact us today so we can start helping you reduce the risk in your growing business.   International Reports & Resources

The Consumer Financial Protection Bureau (CFPB) is engaged in increasing its understanding of the opportunities and potential challenges associated with consumer permissioned account data. The agency launched a request for information on the topic in November 2016 and is currently analyzing information it received prior to the February 2017 comment deadline. In remarksat a field hearing in conjunction with the launch of the RFI, CFPB Director Cordray stated, that "access to digital financial records is critical. As with your student records or medical records, your financial records tell an important story about you. With health care, for example, if you can see your records, it is easier to participate.” Demand for financial account data goes beyond consumer loans and its use in the small business credit-granting process has been increasing. Experian recently entered a partnership with Finicity to develop new tools that will make it easier for small businesses to apply for a loan and to accelerate loan underwriting. These tools are used for authentication, verification of income and assets, and cash flow analysis. These tools improve accuracy and reduce fraud risk for lenders, thereby broadening access to loans. Experian's new Digital Verification Solutions leverage Finicity's data aggregation and insight platform. Experian is the first credit bureau to implement this technology, which gives small businesses the opportunity to secure loans with less paperwork and hassle by connecting with financial institutions digitally. While this information is currently limited in use for credit risk analyses for small business lending, Experian believes that user-permissioned account aggregation platforms will increasingly provide an opportunity to collect and analyze cash flow and recurring payment information relevant to lenders in making credit decisions. For example, user-permissioned data from a businesses’ bank account could demonstrate the entity’s payment history for utilities and telecommunications services, as well as for monthly rent. With respect to the collection and use of data obtained through account data aggregation platforms, it is important that a borrower grant permission pursuant to clear statements about how the consumer's information will be accessed and how the data will be used. Such statements should include whether the data will be shared with third-parties, and for what purposes. It is vital for market participants — both financial institutions and account aggregators — to continue to work together to develop cooperative agreements that allow data to be accessed, analyzed and shared in an efficient and secure environment. Recently, several account aggregators have formed direct agreements with financial institutions and there is ongoing work to develop best practices and industry standards for secure consumer and business access to financial data. In the past, the CFPB has promoted this ecosystem. As with other commercial credit data, financial account data can be used to make decisions throughout the credit lifecycle. This includes supporting pre-qualification when a business is prospecting for new customers; conducting credit risk analysis and verifications; managing portfolio risk; and if necessary, collecting on unpaid or overdue debts.

This week for Business Chat | Live we interviewed Peter Bolin about business owner wealth, and how lenders are finding new ways to evaluate entrepreneurs in the underwriting process. Gary: Today we're going to have a discussion on business owner wealth and evaluating business owner wealth in risk models. Joining me today is Mr. Peter Bolin. He's the Director of Analytics and Consulting for Experian. Good morning Peter. Peter: Good morning Gary. Good morning everyone. Gary: Let's just kick off this discussion. Business owner wealth and small business owners and evaluating risk. What's it all about? Peter: Yeah, thanks Gary, thanks everyone. As I travel around talking to a hundred clients a year, one theme that always comes back is, "Hey Pete, can you and Experian help us get to yes?" We know that there is a pool of small businesses, a pool of small business owners out there that are small, that are emerging, that are cutting edge, maybe not solid yet, but they don't have a credit file, what we typically call maybe credit invisibles or maybe thin files, but we know that they have a good idea, we know that they've good product and services, but we can't approve them. Is there anything you can do to help us get to yes? At Experian we got to thinking about that. We have a tremendous amount of data assets as everyone know. We looked around and we said, "Hey, there is this new product that we have called the Wealth Opportunity Score," and that estimates, based on our proprietary database, the wealth of an individual. We got to thinking, does wealth of a business owner affect the opportunity to be approved? That's what we're here to talk about today, Gary. Can we use the Wealth Opportunity Score on a business owner based on a sample of our data, we have some great results, and we definitely feel that we can help lenders, wholesalers, target marketers, get to yes. Gary: Okay. So you mentioned getting to yes. What does that mean in terms of say, a new business or a business that has say, a very thin credit file? How does that work? Peter: The first thing that we do when we're evaluating any new data source, and while wealth insights have been at Experian for a year or two, it's new, we're introducing it for the first time to the commercial space for the business owner, the first thing we do is say, "Okay, can we get a predictive lift by using this data?" The answer is yes. In particular, can we use this in the thin file, in the very, very small, emerging businesses that maybe we could refer to as the credit invisibles. It's kind of an overused term. Invisible to who? So, we're using this in this example as credit invisible are a very thin file or maybe have no file on the commercial credit report. We took a sample of business owners in that population and we added this Wealth Opportunity Score as an attribute within our demographic only segment, and we said, "Yes, indeed, this does help the predictive power of that segment." Going from a KS of a 16 to a 23. A KS for those of you who might not know, that's the Kolmogorov-Smirnov statistic, that's the industry standard for measuring the predictiveness of the model, the higher the KS the better the separation between the goods and the bad. We're seeing that yes, by just including this data, on the credit invisible/thin file, that segment was able to improve the predictive power by 43%. Gary: Wow, that's incredible. So, we discussed the better prediction of risk using the owner wealth. What does rank ordering have to do with that, and why is that such a big deal? Peter: As quant jocks sometimes we get overly, overemphasize the KS, the rock, the Genie, area under curve and those are all important statistics, but we can't forget about another critical part, which is the stability of the model. That's where we look at how well it rank orders. We'd like to see a nice, smooth monotonic progression in the rank ordering of the bads throughout the decile. We would like to see a large number of bads pushed down to the riskiest scoring, and fewer number of bads pushed up to the least risky. As you can see, when we added the Wealth Opportunity Score to our demographic only file, we got a nice, more smooth monotonic progression, which says not only do we get lift like we talked about in the first slide, but we're also improving the stability of the model, which is very, very important. As you can see, it's still a little bit choppy. Some of you might say, the skeptics out there might say, "Gee, Pete, this is all pretty choppy." However, keep in mind this is a demographic thin file, not much to go on other than some key demographic items, but by adding the Wealth Opportunity Score we're able to increase the predictiveness and the stability of the model. Gary: Wow. Okay, so there's been a lot of talk about women-owned businesses, minority-owned businesses lately. How does wealth play in the role in accessing credit for minorities, and in particular women-owned businesses? Peter: Absolutely. Gary, that's a huge topic right now, access to credit. Do minority-owned businesses and especially women-owned businesses have access to credit? We're also looking at data to help evaluate that. The next thing we did was, we were curious. Okay, is there a difference between a male-owned business and a female-owned business when it comes to wealth? Really, if you look at the bottom two lines on the curve, you see that there's really not. They're pretty similar. They are fairly similar. There is some blips on the lower side, so if you're looking at the left side of the graph, you do see where that pink line is the female owner, they do tend to have slightly lower wealth, and that's measured on the first Y axis. What we're saying is that there's really no difference. If you're looking at wealth, there isn't much difference between a woman-owned business and a male-owned business, so that should not be a prohibitor in access to credit. The other thing that we looked at on the other, secondary X axis, is the whole concept around annual spend. This is annual spend on the business owner personally, not the business, so I just want to make that clear. We looked at that, and we saw similar trends, that there really wasn't much difference in spending except in the very, very high quadrant up there, there was a little bit of difference in the extremely wealthy. Actually, it says that male owners, male business owners, had much more annual spend. So, not only were we introducing the Wealth Opportunity Score, which is a new concept in commercial lending, we're also looking at the total plastic spend on the business owner personally, which we found is a very powerful indicator, especially when you're trying to target market. Gary: Excellent. Okay, changing gears a little now, to target marketing and how does wealth help with those that are maybe in the market for credit? Peter:  Well, it's very interesting Gary, because what we find is that there's an inverse relationship between wealth and in the market, so very, very wealthy owners are not as in the market based on our in the market score. We have a business credit seeker model, which predicts the likelihood that someone's going to open up a new trade, so, that they're in the market. They're really serious about it. We threw these attributes and this scores into that model, and what we found is that intuitively I think that it makes a lot of sense as well. What we see is that lower wealthy business owners are more in the market, right? They don't have any personal wealth. They need capital. They need access to capital. They're anxious to get capital. There's a higher percentage of the lower wealth spectrum that are looking for credit. However, however, that's not to say that the high end, so if you look at the very high end, three million or more in wealth, there's also a percentage, 9.5% of the population that are also looking for credit. They could be a small business, they could have two employees or less, they could be around for two years or less, but they have high net worth. They might be invisible on the commercial side and this Wealth Opportunity Score will definitely help them, help lenders and wholesalers get to yes. Gary: Are there other particular industries that you recommend targeting with the new business credit seeker model? Peter: Sure, that was the other kind of thing that was surprising to me, I'll be very frank. This surprised me, because when we looked at the industries and then we plotted the risk scores, and then we plotted the bad rates, and then we looked at the wealth of the individual, or sorry, not the wealth at this particular point. What we're looking at here is the actual in the market. What we found is that the industries that have the highest in the market percentage, which is measured on the blue bar, and then we look at their average IPV2 score, that's Experian's commercial risk score predict a likelihood of a trade going 91-plus, we see a convergence that the agricultural, wholesale trade and mining industry, which surprised the heck out of me, were the three industries that have the highest percentage and likelihood to be in the market, and also had the highest IP score, which means they have the lowest risk. The mining industry in particular, Gary, is shocking, because over the last eight years, without me getting too politically sensitive, that industry has taken a battering in the last nine years. Big cuts, big cutbacks, in traditional coal mining, and what we're seeing now, with some of the new administration's outlook on mining, the regulations are coming off and we're predicting that this could be a very big growth opportunity for our clients in terms of marketing, in terms of wholesale credit, traditional lines of credit, and traditional term-type credit. The mining industry in the market and a very high IPV2 score, and later on we'll see also some interesting wealth information about that as well. Gary: Excellent. You talked about credit scores. What about bad debt rates and industry targeting? Can you talk a little bit about that? Peter: Yep, very similar results. We also wanted to look and see what the bad rates were for each of these industries to give the viewers an opportunity to see this trend. This is also the exact same thing as you saw with the score, relatively low risk. Agricultural, wholesale trade, mining again, when you look at their bad rates as measured on that secondary axis, but high in the market. Very, very surprising to me, once again, I did not expect to see especially the mining, given the fact that they've been hammered the last nine months, so again, if you're looking about low-risk industries to target, those are the three that I would recommend. Gary: Does owner wealth matter in these industries in particular? Peter: It does, it does, especially again in the mining industry. You see some interesting wealth statistics. If you look at the distribution of the Wealth Opportunity Score, which once again, predicts the wealth of the business owner, or the individual but in this case we scored it with business owners, you see some blips. Those yellow bars, some blips, and as you can see, there's also a tremendous opportunity really up there in that big, look at up there, there's a significant percentage in all three of these industries, but particular mining industry that have extremely high net worth. We already know from previous slides that they have low risk, low bad rates, so again, the mining industry, high wealth, high scores, low bad rates, again, another indication that using this data can help you get to yes. Gary: What about micropreneurs, you know, these businesses that are just emerging, just getting started, they're credit invisible, right? Does the business owner wealth factor come into lending and risk models? Peter: Certainly, and the whole concept of a micropreneur, that's kind of a new term, I'm not even sure it is a word, but maybe we invented it, the micropreneur, a great concept, very, very small businesses. It's not uncommon, Gary, that I get the following statement made to me when I'm talking to clients: "Pete, we don't approve anyone that's been in business for two years or less. We don't approve anyone that has two employees or less. We don't approve anyone who's a sole proprietor. We want to avoid those type of businesses," and I would urge all of the listeners and all of the viewers to think a second time about that, because even if you look at the far right-hand side bar, there are 28% of the population with three million or more in estimated wealth, 28% of that population have been in business or have one or two employees or less. That wealth could be used in your personal guarantee situation, that could be used as collateral. The other nice thing about the Wealth Opportunity Score before I forget is actually evaluating the net worth of an individual. It gives you the opportunity to verify that. It's very common in these situations that if a small business, one or two employees or less, goes in for an application, applies and they have to have a personal guarantee, and they say, "I'm worth $3 million," well, how do you know? Well, with this system you can come to Experian and at least get an estimate that that wealth is right, that you've verified that wealth and that you can set your credit limits, you can set your approval accordingly. So again, what does it mean for the micropreneur? It means that if they have wealth, it's another data point that can help you. Gary: It's helping them get their businesses started. It's helping to drive the economy, which is, at the same time this is good for everybody. It's a win-win situation of, it sounds like to me anyway. Peter:  Absolutely. You know Gary, the whole concept of what we're talking about today comes from my personal passion, and I know Experian Business Information Services as an entity's passion, to be an advocate for the small business owners. What we talk about frequently. Through this passion, we're looking at all of our data assets. Can we use our data assets for good? And the good is, as small businesses goes, so goes the United States, and I'm really passionate, and I know Experian Business Information Services is passionate about turning over every leaf, every piece to data, that will fuel small business growth and fuel our economy. Gary: That's awesome. Okay, well this has been excellent Peter. I think if folks are interested in this, we just invite them to drop a comment on the video here if you find this on YouTube, or come to our website, experian.com/b2b. I'm sure we can connect you to Pete and his experts in business information if you want to talk about business owner wealth models. Pete I want to thank you so much for taking time out this morning to come on and talk to us about this topic. I really enjoyed our chat, and we'd love to have you back again in the future. Peter: Thank you Gary. I had a lot of fun. My first live TV spot. Gary: All right, thank you Pete. Have a good day, and- Peter: Thank you. Gary: And have a good day everybody. Thank you so much for coming to our live video. As I said, we're just wading into this. We'd love to have more of these live shows. If you've got ideas for live shows, if there's things about business information, things that would help you be more successful in business or evaluating risk, just send us a note on our YouTube channel. We'd be happy to consider that, and maybe put a show together. Maybe even invite you on as a guest. That's it for today, so thank you everyone and have a good day.    

Over the past 10 years, some of America's most venerable industries have found themselves threatened -- if not put on virtual life support -- by aggressive Web-based "disrupters." Traditional hotels and motels now face stiff competition from AirBnB. Old school taxi companies are losing riders to fast and nimble ride-sharing services like Uber and Lyft. Blockbuster Video? Killed by Netflix, Hulu and Amazon Prime. The Yellow Pages? All but killed by Google. And anyone who's been following the brick-and-mortar retail industry knows that Amazon and its digital brethren are in the process of making retail department stores -- along with the shopping malls they anchor -- as quaint as hydrogen-filled balloons. So what's the next industry likely to find itself up-ended by digital disruptors? It may very well be debt collection. Granted, the words “Debt Collection” will sometimes send a shiver through your spine. But past-due accounts are a serious problem for the affected businesses. Not to mention being a drag on the economy as a whole. In an April 27, 2017 article in Forbes, contributing writer Robert J. Sczcerba offers the following statistics: At any given time, there is an estimated $12 trillion in outstanding consumer debt, with $672 billion of that debt being at some stage of delinquency. At least 7,000,000 small businesses in the U.S. have trouble collecting payments from customers. Of these 7,000,000 small businesses, 49% of them had to write off bad debt in the past year and 43% have customers who are more than 90 days late on payments. So, yes, the collection of outstanding debt is a big deal. Which is why the debt collection industry has to innovate. While many hotel chains, retail stores and transportation services have at least tried to keep pace with technological advances -- and customer expectations -- the debt collection industry has remained relatively unchanged for decades. As quoted in the same Forbes article, Christoph Bene, Managing Director at Brock Capital Group, describes it this way: "Fifty years ago, debt collections agencies relied on annoying phone calls and form letters sent through the mail to encourage people to pay their past due accounts. Today, with the ubiquitous use of smart phones, texting, e-mail and social media, the debt collection industry -- yep, you guessed it -- still mainly relies on annoying phone calls and form letters." Which is where Artificial Intelligence (AI) comes into play. AI has the potential to revolutionize debt collection by reaching out to debtors via the media they use, speaking to them in a language they understand, and developing customized solutions based on each person's individual circumstances. For example: The Medium is the Message. There is a growing cultural divide between generations. A business that tries to communicate with recent college graduates the same way they do with retired Baby Boomers isn't going to be in business for long. The choice of communications media -- be it email, text message, live phone call, printed letter -- depends largely on the character of the recipient. And when an agency is dealing with hundreds -- perhaps thousands -- of delinquent customers, it takes a very "smart" application to choose the channel best suited for each message. Context is King. You don't speak to an employer the same way you speak to a sibling -- or a police officer. Similarly, a collection agency can't use the same language when reaching out to a top-earning corporate executive as they do when trying to collect from a single mother of five who's holding down two jobs. With AI, companies will be able to communicate with the tone, vocabulary and incentives most likely to engage the individual recipient -- automatically. Staying Within the Lines. There are myriad state and federal regulations designed to prevent abuses by over-zealous debt collectors. Unfortunately, the industry remains notorious for its use of off-hour phone calls, intimidating language, and other aggressive techniques to try and pry money out of resistant hands. Using sophisticated rules engines, collections agencies can now make sure that they stay on the right side of the law while still disseminating strong, effective communications. Personalized Solutions. If there is one industry where "one size fits all" makes no sense, it's debt collection. Every situation is different. Every debtor has his/her unique set of challenges. Counselors, working one-on-one with customers, may be able to work out win-win payment solutions, but this takes time, talent, training, sensitivity, creativity and money. For many companies, it's just not worth the investment. AI can make this ideal a practical reality. A truly "smart" tool can analyze and weigh literally thousands of payment scenarios in a second, offering up a solution perfectly tailored to the customer's cash flow and competing obligations. Learn as You Earn. Perhaps the biggest selling point about Artificial Intelligence is that it is, well, intelligent. AI does not more than blindly follow a set of instructions. It learns. It adapts. It grows. It improves. Each failure is a lesson. Each success is an insight. As AI becomes increasingly common in the debt collection industry, expect its efficacy to improve by the month. That not only means more cash in the hands of the companies to which it is owed, but also happier, more satisfied customers. Companies such as Intellaegis with their masterQueue product, have been working to streamline the skip tracing space for the past six years taking a smarter BigData approach to vehicle recovery and debt collection. And Experian, always a leader in financial risk and credit management, recently released two advanced tools designed to help businesses improve their collections results. eResolve is the first self-service platform to help consumers negotiate and resolve past due obligations. PowerCurve Collections brings together data, decisions, and the collections workflow in a single, unified system. These are just the first steps in what promises to be a genuine revolution for business collections as artificial intelligence, Big Data analysis, and predictive analytics combine to create automated workflows that work to the benefit of the creditor and the debtor. Businesses will receive more of the money they're owed. Customers will have less debt to manage. And best of all, no more of those annoying dinner-time phone calls.