All posts by Guest Contributor

Small-business credit conditions wrapped up the year by showing continued improvement for the fourth consecutive quarter.

By: Matt Sifferlen On January 17th, we celebrated the 308th birthday of one of America's most famous founding fathers, Ben Franklin. I've been a lifelong fan of his after reading his biography while in middle school, and each year when his birthday rolls around I'm inspired to research him a bit more since there is always something new to learn about his many meaningful contributions to this great nation. I find Ben a true inspiration for his capacity for knowledge, investigation, innovation, and of course for his many witty and memorable quotes.  I think Ben would have been an exceptional blogger back in his day, raising the bar even higher for Seth Godin (one of my personal favorites) and other uber bloggers of today.  And as a product manager, I highly respect Ben's lifelong devotion to improving society by finding practical solutions to complex problems.  Upon a closer examination of many of Ben's quotes, I now feel that Ben was also a pioneer in providing useful lessons in commercial fraud prevention. Below is just a small sampling of what I mean. “An ounce of prevention is worth a pound of cure” - Preventing commercial fraud before it happens is the key to saving your organization's profits and reputation from harmful damage. If you're focused on detecting fraud after the fact, you've already lost. “By failing to prepare, you are preparing to fail.” - Despite the high costs associated with commercial fraud losses, many organizations don't have a process in place to prevent it.  This is primarily due to the fact that commercial fraud happens at a much lower frequency than consumer fraud.  Are you one of those businesses that thinks "it'll never happen to me?" “When the well’s dry, we know the worth of water.” - So you didn't follow the advice of the first two quotes, and now you're feeling the pain and embarrassment that accompanies commercial fraud.  Have you learned your lesson yet? “After crosses and losses, men grow humbler and wiser.” Ah, no lender likes losses. Nothing like a little scar tissue from "bad deals" related to fraud to remind you of decisions and processes that need to be improved in order to avoid history repeating itself. “Honesty is the best policy.” - Lots of businesses stumble on this part, failing to communicate when they've been compromised by fraud or failing to describe the true scope of the damage.  Be honest (quickly!) and set expectations about what you're doing to limit the damage and prevent similar instances in the future. “Life’s tragedy is that we get old too soon and wise too late.” - Being too late is a big concern when it comes to fraud prevention. It's impossible to prevent 100% of all fraud, but that shouldn't stop you from making sure that you have adequate preventive processes in place at your organization. “Never leave that till tomorrow which you can do today.” - Get a plan together now to deal with fraud scenarios that your business might be exposed to.  Data breaches, online fraud and identity theft rates are higher than they've ever been.  Shame on those businesses that aren't getting prepared now. “Beer is living proof that God loves us and wants us to be happy.” - I highly doubt Ben actually said this, but some Internet sites attribute it to him.  If you already follow all of his advice above, then maybe you can reward yourself with a nice pale ale of your choice! So Ben can not only be considered the "First American," but he can also be considered one of the first fraud prevention visionaries.  Guess we'll need to add one more thing to his long list of accomplishments!    

Delinquency rates for auto loans moved up slightly in the last quarter of 2013, with the 30 to 59 days past due (DPD), 60 to 89 DPD and 90 to 180 DPD delinquency rates at 2.18 percent, 0.56 percent and 0.24 percent, respectively.

The volume of emails sent by marketers rose nearly 13 percent during the 2013 holiday season compared to 2012.

An employee who never uses a mobile device – personal or company-supplied – for business purposes is becoming a rare creature, indeed. Use of mobile devices is prevalent across virtually every industry, and the convenience and flexibility these devices offer professionals can be great for business. Provided, that is, those devices are secure. Mobile devices continue to be a significant source of data breaches, and a particular concern for anyone engaged in cyber security, according to eSecurity Planet’s Data Breach Roundup. Mobile-related data breaches stem from a range of circumstances, including loss or theft of devices, failure to use anti-malware, or failing to password-protect a device being used for business purposes. Devices can put your data at risk if an employee stores any proprietary information on a mobile device, or if workers use unsecured devices to access your network – even if you’ve taken steps to secure the network itself. Managing mobile devices can be one of the most challenging aspects of your overall cyber security program, but it’s imperative and – fortunately – not impossible. Minimizing mobile device risks CTIA, The Wireless Association, offers some guidelines for mobile device cyber security in its whitepaper “Today’s Mobile Cybersecurity: Blueprint for the Future.” The organization points to five cornerstones of mobile cyber security: Education about the importance of mobile security Devices with security features like anti-malware and anti-spam settings Strong, enforced network security policies Authentication for all network users Secure connections, from cloud to network Many tools exist to help your organization ensure secure footing on each of those cornerstones. CTIA cites options like risk management, security policies and monitoring. We would add to that list, and emphasize the importance of a data breach response plan that addresses the specific challenges and risks associated with a mobile-spurred data breach incident. While your organization can take strong, reasoned steps toward minimizing risks, it’s equally important to be ready to respond when a breach occurs. Mobile device security is sure to be a growing issue throughout 2014, as more people than ever use smartphones, tablets and other mobile devices to work more efficiently. With the right precautions, you can help ensure your employees work safely, as well. Learn more about our Data Breach solutions

By: Teri Tassara In my blog last month, I covered the importance of using quality credit attributes to gain greater accuracy in risk models.  Credit attributes are also powerful in strengthening the decision process by providing granular views on consumers based on unique behavior characteristics.  Effective uses include segmentation, overlay to scores and policy definition – across the entire customer lifecycle, from prospecting to collections and recovery. Overlay to scores – Credit attributes can be used to effectively segment generic scores to arrive at refined “Yes” or “No” decisions.  In essence, this is customization without the added time and expense of custom model development.  By overlaying attributes to scores, you can further segment the scored population to achieve appreciable lift over and above the use of a score alone. Segmentation – Once you made your “Yes” or “No” decision based on a specific score or within a score range, credit attributes can be used to tailor your final decision based on the “who”, “what” and “why”.  For instance, you have two consumers with the same score. Credit attributes will tell you that Consumer A has a total credit limit of $25K and a BTL of 8%; Consumer B has a total credit limit of $15K, but a BTL of 25%.   This insight will allow you to determine the best offer for each consumer. Policy definition - Policy rules can be applied first to get the desirable universe.  For example, an auto lender may have a strict policy against giving credit to anyone with a repossession in the past, regardless of the consumer’s current risk score. High quality attributes can play a significant role in the overall decision making process, and its expansive usage across the customer lifecycle adds greater flexibility which translates to faster speed to market.  In today’s dynamic market, credit attributes that are continuously aligned with market trends and purposed across various analytical are essential to delivering better decisions.  

By: Maria Moynihan Crime prevention and awareness techniques are changing and data, analytics and use of technology is making a difference. While law enforcement departments continue to face issues related to data - ranging from working with outdated information, inability to share data across departments, and difficulty in collapsing data for analysis -  a new trend is emerging where agencies are leveraging outside data sources and analytic expertise to better report on crimes, collapse information, predict patterns of behavior and ultimately locate criminals. One best practice being implemented by law enforcement agencies is to skip trace an individual much like a debt collector would.   Techniques involve using historic address information and individual connections to better track to a person’s current location. See the full write up from CollectionsandCreditRisk.com to see how this works. Another great example of effective use of data in investigations can be seen in this video, where one Experian client, Intellaegis of El Dorado Hills, CA, recently worked with local law enforcement to follow the digital data footprints of a particular suspect, finding her in in just five minutes of searching. p> And, yet another representation of improved data gathering, handling and sharing of information for crime prevention and awareness can be found on a site I was just made aware of by one of my neighbors - www.crimemapping.com. Information is collapsed across departments for greater insight into the crimes that are happening within a neighborhood, offering a more comprehensive option for the general public to turn to on local area crime activity. Clearly, data, analytics and technology are making a positive impact to law enforcement processes and investigations. What is your public safety organization doing to evolve and better protect and serve the public?     

By: Zach Smith On September 13, the Consumer Financial Protection Bureau (CFPB) announced final amendments to the mortgage rules that it issued earlier this year. The CFPB first issued the final mortgage rules in January 2013 and then released subsequent amendments in June. The final amendments also make some additional clarifications and revisions in response to concerns raised by stakeholders.     The final modifications announced by the CFPB in September include: Amending the prohibition on certain servicing activities during the first 120 days of a delinquency to allow the delivery of certain notices required under state law that may provide beneficial information about legal aid, counseling, or other resources. Detailing the procedures that servicers should follow when they fail to identify or inform a borrower about missing information from loss mitigation applications, as well as revisions to simplify the offer of short-term forbearance plans to borrowers suffering temporary hardships. Clarifying best practices for informing borrowers about the address for error resolution documents. Exempting all small creditors, including those not operating predominantly in rural or underserved areas, from the ban on high-cost mortgages featuring balloon payments. This exemption will continue for the next two years while the CFPB re-examines the definitions of “rural” and “underserved.” Explaining the "financing” of credit insurance premiums to make clear that premiums are considered to be “financed” when a lender allows payments to be deferred past the month in which it’s due. Clarifying the circumstances when a bank’s teller or other administrative staff is considered to be a “loan originator” and the instances when manufactured housing employees may be classified as an originator under the rules. Clarifying and revising the definition of points and fees for purposes of the qualified mortgage cap on points and fees and the high-cost mortgage points and fees threshold. Revising effective dates of many loan originator compensation rules from January 10, 2014 to January 1, 2014. While the industry continues to advocate for an extension of the effective date to provide additional time to implement the necessary compliance requirements, the CFPB insists that both lenders and mortgage servicers have had ample time to comply with the rules. Most recently, in testimony before the House Financial Services Committee, CFPB Director Richard Cordray stated that “most of the institutions have told us that they will be in compliance” and he didn’t foresee further delays. Related Research Experian's Global Consulting Practice released a recent white paper, CCAR: Getting to the Real Objective, that suggests how banks, reviewers and examiners can best actively manage CCAR's objectives with a clear dual strategy that includes both short-term and longer-term goals for stress-testing, modeling and system improvements.  Download the paper to understand how CCAR is not a redundant set of regulatory compliance exercices; its effects on risk management include some demanding paradigm shifts from traditional approaches. The paper also reviews the macroeconomic facts around the Great Recession revealing some useful insights for bank extreme-risk scenario development, econometric modeling and stress simulations. Related Posts Where Business Models Worked, and Didn't, and Are Most Needed Now in Mortgages Now That the CFPB Has Arrived, What's First on It's Agenda Can the CFPB Bring Debt Collection Laws into the 21st Centrury

Billions of dollars are being issued in fraudulent refunds at the state and federal level.  Most of the fraud can be categorized around identity theft.  An example of this type of fraud may include fraudsters acquiring the Personal Identifying Information (PII) from a deceased individual, buying it from someone not filing or otherwise stealing it from legitimate sources like a doctor’s office.  The PII is then used to fill out tax returns, add fraudulent income information and request bogus deductions. Additional forms of tax refund fraud may include: Direct consumer tax refund fraud using real PII of US Citizens to file fraudulent tax returns and claim bogus deductions thereby increasing refund amounts EITC (Earned Income Tax Credit)/ACC (Additional Childcare Credit) fraud which is usually perpetrated with the assistance of a tax preparer and claiming improper cash payments and/or deductions for non-existent children. Tax Preparer Fraud where tax preparers purposefully submit false information on tax returns or file false returns for clients. Under reporting of income on tax filings. Taking multiple Homestead Exemptions for tax credit. Since this Fraud more often occurs as an early filing using Fraudulent or stolen PII the individual consumer is at risk for long term Identity issues. Exacerbating the tax refund fraud problem: The majority of returns that request refunds are now filed online (83% of all federal filings in 2012 were online) -if you file online, there is no need to submit a W-2 form with that online filing.  If your employment information cannot be pulled into the forms by your tax software you can fill it in manually.  The accuracy of information regarding employer and wage information for which deductions are based, is only verified after the refund is issued.  Refunds directly deposited - filers now have the option to have their refunds deposited into a bank account for faster receipt.   Once these funds are deposited and withdrawn there is no way to trace where the funds have gone. Refunds provided on debit cards – filers can request their refund in the form of a debit card.  This is an even bigger problem than bank account deposits because once issued, there is no way to trace who uses a debit card and for what purpose. So what do you need to look for when reviewing tax fraud prevention tools? Look for a provider that has experience in working with state and federal government agencies.  Proven expertise in this domain is critical, and experience here means that the provider has cleared the disciplined review process that the government requires for businesses they do business with. Look for providers with relevant certifications for authentication services, such as the Kantara Identity Assurance Framework for levels of identity assurance.  Look for providers that can authenticate users by verifying the device they’re using to access your applications.  With over 80% of tax filings occurring online, it is critical that any identity proofing strategy also allows for the capability to verify the source or device used to access these applications. Since tax fraudsters don’t limit their use of stolen IDs to tax fraud and may also use them to perpetrate other financial crimes such as opening lines of credit – you need to be looking at all avenues of fraudulent activity If fraud is detected and stopped, consider using a provider that can offer post fraud mitigation processes for your customers/potential victims. Getting tax refunds and other government benefits into the right hands of their recipients is important to everyone involved.  Since tax refund fraud detection is a moving target, it’s buyer beware if you hitch your detection efforts to a provider that has not proven their expertise in this unique space.  

By: Matt Sifferlen I recently read interesting articles on the Knowledge@Wharton and CNNMoney sites covering the land grab that's taking place among financial services startups that are trying to use a consumer's social media activity and data to make lending decisions.  Each of these companies are looking at ways to take the mountains of social media data that sites such as Twitter, Facebook, and LinkedIn generate in order to create new and improved algorithms that will help lenders target potential creditworthy individuals.  What are they looking at specifically?  Some criteria could be: History of typing in ALL CAPS or all lower case letters Frequent usage of inappropriate comments Number of senior level connections on LinkedIn The quantity of posts containing cats or annoying  self-portraits (aka "selfies") Okay, I made that last one up. The point is that these companies are scouring through the data that individuals are creating on social sites and trying to find useful ways to slice and dice it in order to evaluate and target consumers better. On the consumer banking side of the house, there are benefits for tracking down individuals for marketing and collections purposes. A simple search could yield a person's Facebook, Twitter, or LinkedIn profile. The behaviorial information can then be leveraged as a part of more targeted multi-channel and contact strategies. On the commercial banking side, utilizing social site info can help to supplement any traditional underwriting practices. Reviewing the history of a company's reviews on Yelp or Angie's List could share some insight into how a business is perceived and reveal whether there is any meaningful trend in the level of negative feedback being posted or potential growth outlook of the company. There are some challenges involved with leveraging social media data for these purposes. 1. Easily manipulated information 2. Irrelevant information that doesn't represent actual likes, thoughts or relevant behaviors 3. Regulations From a Fraud perspective, most online information can easily and frequently be manipulated which can create a constantly moving target for these providers to monitor and link to the right customer.  Fake Facebook and Twitter pages, false connections and referrals on LinkedIn, and fabricated positive online reviews of a business can all be accomplished in a matter of minutes. And commercial fraudsters are likely creating false business social media accounts today for shelf company fraud schemes that they plan on hatching months or years down the road.  As B2B review websites continue to make it easier to get customers signed up to use their services, the downside is  there will be even more unusable information being created since there are less and less hurdles for commercial fraudsters to clear, particularly for sites that offer their services for free. For now, the larger lenders are more likely to utilize alternative data sources that are third party validated, like rent and utility payment histories, while continuing to rely on tools that can prevent against fraud schemes. It will be interesting to see what new credit and non credit data will be utilized as a common practice in the future as lenders continue their efforts to find more useful data to power their credit and marketing decisions.

By: Joel Pruis As we go through the economic seasons, we need to remember to reassess our strategy.  While we use data as the way to accurately assess the environment and determine the best course of action for your future strategy, the one thing that is for certain is that the current environment will definitely change.  Aspects that we did not anticipate will develop, trends may start to slow or change direction. Moneyball continues to be a movie that gives us some great examples.  We see that Billy Beane and Peter Brand were constantly looking at their position and making adjustments to the team’s roster.  Even before they made any significant adjustments, Beane and Brand found themselves justifying their strategy to the owner (even though the primary issue was with the head coach not playing the roster that maximized the team’s probability of winning).  The first aspect that worked against the strategy was the head coach and while we could go down a tangent about cultural battles within an organization, let's focus on how Beane adjusted.  Beane simply traded the players the head coach preferred to play forcing the use of players preferred by Beane and Brand. Later we see Beane and Brand making final adjustments to the roster by negotiating trades resulting in the Oakland A’s landing Ricardo Rincon.  The change in the league that allowed such a trade was that Rincon’s team was not doing well and the timing allowed the A’s to execute the trade.   Beane adjusted with the changes in the league.  One thing to note, is that he changed the roster while the team was doing well.  They were winning but Beane made adjustments to continue maximizing the team’s potential.  Too often we adjust when things are going poorly and do not adjust when we seem to be hitting our targets. Overall, we need to continually assess what has changed in our environment and determine what new challenges or new opportunities these changes present.  I encourage you to regularly assess what is happening in your local economy.  High-level national trends are constantly on the front page of the news but we need to drill down to see what is happening in a specific market area being served.  As Billy Beane did with the Oakland A’s throughout the season, I challenge you to assess your current strategies and execution against what is happening in your market territory.   Related posts: How Financial Institutions can assess the overall conditions for generating the net yield on the assets How to create decision strategies for small business lending Upcoming Webinar: Learn about the current state of small business, the economy and how it applies to you

If you're looking to implement and deploy a knowledge-based authentication (KBA) solution in your application process for your online and mobile customer acquisition channels - then, I have good news for you! Here’s some of the upside you’ll see right away: Revenues (remember, the primary activities of your business?) will accelerate up Your B2C acceptance or approval rates will go up thru automation Manual review of customer applications will go down and that translates to a reduction in your business operation costs Products will be sold and shipped faster if you’re in the retail business, so you can recognize the  sales revenue or net sales quicker Your customers will appreciate the fact that they can do business in minutes vs. going thru a lengthy application approval process with turnaround times of days to weeks And last but not least, your losses due to fraud will go down To keep you informed about what’s relevant when choosing a KBA vendor, here’s what separates the good KBA providers from the bad: The underlying data used to create questions should be from multiple data sources and should vary in the type of data, for example credit and non-credit Relying on public record data sources is becoming a risky proposition given recent adoption of various social media websites and various public record websites Have technology that will allow you to create a custom KBA setup that is unique to your business and business customers, and the proven support structure to help you grow your business safely Provide consulting (performance monitoring)and analytical support that will keep you ahead of the fraudsters trying to game your online environment by assuring your KBA tool is performing at optimal levels Solutions that can easily interface with multiple systems, and assist from a customer experience perspective. How are your peers in the following 3 industries doing at adopting a KBA strategy to help grow and protect their businesses? E-commerce 21% use KBA today and are satisfied with the results* 13% have KBA on roadmap and the list is growing fast* Healthcare 20% use dynamic KBA* Financial Institutions 30% combination of dynamic & static KBA* 20% dynamic KBA* What are the typical uses of KBA?* Call center Web / mobile verification Enrollment ID verification Provider authentication Eligibility *According to a 2012 report on knowledge-based authentication by Aite Group LLC Knowledge-based authentication, commonly referred to as KBA, is a method of authentication which seeks to prove the identity of someone accessing a service, such as a website. As the name suggests, KBA requires the knowledge of personal information of the individual to grant access to the protected material. There are two types of KBA: "static KBA", which is based on a pre-agreed set of "shared secrets"; and "dynamic KBA", which is based on questions generated from a wider base of personal information.  

By: Reggie Whitley After spending years working in bank fraud, one of the most difficult conversations to have with a consumer is “We can no longer successfully protect your accounts.” Identity theft is shockingly easy to commit.  In most cases consumers are able to recover successfully from compromises thanks to the diligence of their financial institutions, the cooperation of retailers, and credit reporting services that assist in recovery from compromises. Problems arise when you have consumers who become attractive targets for various reasons – these could be relationships to others, high net worth, extensive products, or business ownership.  These targets aren’t ‘one and done’ consumers for an identity criminal.  For these consumers identity thieves will continue accessing their identities for months or even years.  These consumers are often forced to migrate from banks or credit card companies because the identity crimes follow them and they become too expensive to protect.  For these consumers, identity theft is a true nightmare. In the past year, fraud protection strategies and tools have emerged that will begin to reduce the risk of continued compromise these consumers face.  Real time identity alerting tools have emerged to offer consumers a way to receive notification when their identities are being used, not just at a single institution, but across the financial landscape. Consumers now have the ability to receive SMS, Email, or Web notifications whenever their identity has been verified.  If the consumer receives an alert on an banking account they just opened, they simply move on, no action is required.  In the event that the alert is NOT something they generated, the consumer calls in, discusses with a fraud specialist and is connected to the generating bank or retailer to file a fraud report. Obviously, this service benefits any consumer who would like to monitor usage of their identity and detect fraud, but knowing first hand the horror stories extensively compromised consumers get caught in, tools like start to open a level of REAL TIME protection that hasn’t before existed. The benefit is truly across the board.  Banks and retailers begin to realize savings when consumers engage them within minutes of fraud.  This reduces the success of identity thieves, discouraging additional attempts.  Finally, detecting this fraud reduces the extensive efforts needed to help a consumer clear up credit reports and file fraud reports. Perhaps in the near future instead of turning high risk consumers away, we can provide them with the ability to protect themselves and the industry from the nightmare situations that are still too frequent today.

By: Maria Moynihan Government organizations that handle debt collection have similar business challenges regardless of agency focus and mission. Let’s face it, debtors can be elusive. They are often hard to find and even more difficult to collect from when information and processes are lacking. To accelerate debt recovery, governments must focus on optimization--particularly, streamlining how resources get used in the debt collection process.  While the perception may be that it’s difficult to implement change given limited budgets, staffing constraints or archaic systems, minimal investment in improved data, tools and technology can make a big difference. Governments most often express the below as their top concerns in debt collection: Difficulty in finding debtors to collect on late tax submissions, fines or fees. Prioritizing collection activities--outbound letters, phone calls, and added steps in decisioning. Difficulty in incorporating new tools or technology to reduce backlogs or accelerate current processes. By simply utilizing right party contact data and tools for improved decisioning, agencies can immediately expose areas of greater possible ROI over others. Credit and demographic data elements like address, income models, assets, and past payment behavior can all be brought together to create a holistic view of an individual or business at a point in time or over time. Collections tools for improved monitoring, segmentation and scoring could be incorporated into current systems to improve resource allotment. Staffing can then be better allocated to not only focus on which accounts to pursue by size, but by likelihood to make contact and payment. Find additional best practices to optimize debt recovery in this guide to Maximizing Revenue Potential in the Public Sector. Be sure to check out our other blog posts on debt collection.

The desire to return to portfolio growth is a clear trend in mature credit markets, such as the US and Canada. Historically, credit unions and banks have driven portfolio growth with aggressive out-bound marketing offers designed to attract new customers and members through loan acquisitions. These offers were typically aligned to a particular product with no strategy alignment between multiple divisions within the organization.  Further, when existing customers submitted a new request for credit, they were treated the same as incoming new customers with no reference to the overall value of the existing relationship. Today, however, financial institutions are looking to create more value from existing customer relationships to drive sustained portfolio growth by increasing customer retention, loyalty and wallet share. Let’s consider this idea further. By identifying the needs of existing customers and matching them to individual credit risk and affordability, effective cross-sell strategies that link the needs of the individual to risk and affordability can ensure that portfolio growth can be achieved while simultaneously increasing customer satisfaction and promoting loyalty. The need to optimize customer touch-points and provide the best possible customer experience is paramount to future performance, as measured by market share and long-term customer profitability. By also responding rapidly to changing customer credit needs, you can further build trust, increase wallet share and profitably grow your loan portfolios.  In the simplest sense, the more of your products a customer uses, the less likely the customer is to leave you for the competition. With these objectives in mind, financial organizations are turning towards the practice of setting holistic, customer-level credit lending parameters. These parameters often referred to as umbrella, or customer lending, limits. The challenges Although the benefits for enhancing existing relationships are clear, there are a number of challenges that bear to mind some important questions to consider: ·     How do you balance the competing objectives of portfolio loan growth while managing future losses? ·     How do you know how much your customer can afford? ·     How do you ensure that customers have access to the products they need when they need them ·     What is the appropriate communication method to position the offer? Few credit unions or banks have lending strategies that differentiate between new and existing customers.  In the most cases, new credit requests are processed identically for both customer groups. The problem with this approach is that it fails to capture and use the power of existing customer data, which will inevitably lead  to suboptimal decisions. Similarly, financial institutions frequently provide inconsistent lending messages to their clients. The following scenarios can potentially arise when institutions fail to look across all relationships to support their core lending and collections processes: 1.     Customer is refused for additional credit on the facility of their choice, whilst simultaneously offered an increase in their credit line on another. 2.     Customer is extended credit on a new facility whilst being seriously delinquent on another. 3.     Customer receives marketing solicitation for three different products from the same institution, in the same week, through three different channels. Essentials for customer lending limits and successful cross-selling By evaluating existing customers on a periodic (monthly) basis, financial institutions can assess holistically the customer’s existing exposure, risk and affordability. By setting customer level lending limits in accordance with these parameters, core lending processes can be rendered more efficient, with superior results and enhanced customer satisfaction. This approach can be extended to consider a fast-track application process for existing relationships with high value, low risk customers. Traditionally, business processes have not identified loan applications from such individuals to provide preferential treatment. The core fundamentals of the approach necessary for the setting of holistic customer lending (umbrella) limits include: ·     The accurate evaluation of credit and default risk ·     The calculation of additional lending capacity and affordability ·     Appropriate product offerings for cross-sell ·     Operational deployment Follow my blog series over the next few months as we explore the essentials for customer lending limits and successful cross-selling.