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By: Kristan Frend Small business owners appear to be lucrative targets for identity fraud perpetrators, alarming banking institutions, payment processors, and B2B service providers. According to Javelin’s 2011 Small Business Owners (SMBO) Identity Fraud report, the cost of fraud and identity theft “hit SMBO constituents particularly hard. Javelin research uncovered what was previously an undocumented cost to the industry of $5 billion as a direct result of this fraud. In addition, financial institutions (FIs) lost over $590 million in clients and revenue opportunities over a five‐year period.” Additionally, the report indicated that small business owners mean fraud amount is about 5% higher than that for all consumers ($4,851 vs. $4,607). Even more alarming was the fact that the SMBO’s mean victim cost is 150% higher than consumer costs ($1,574 vs. $631). So what does all of this mean? If you’re a small business lender or service provider, having a robust multi-layered SMBO fraud prevention program in place is essential for client retention and avoiding reputational risk. You can take control of the situation with more proactive fraud prevention strategies which will improve your relationships with SMBO customers and save them (and you) money in the long run.

Managing commercial credit in today’s economy can be a real challenge. For telecommunications companies, pulling a report can be helpful in deciding whether or not to offer service to a consumer. But pulling credit reports alone is simply not effective to perform true, proactive portfolio management. The following article was originally posted by Minnie Blanco on the Experian Business Credit blog. If you make decisions just by pulling credit reports, you may want to think about how you can manage your accounts proactively. Pulling a report is helpful in deciding whether you should offer credit to a business. But, consider these basic steps when looking for any negative trends: Develop a policy for how you’d handle accounts that are current, delinquent, bankrupt, etc. Segment your portfolio by those accounts who pay within a particular range of time or who fall within a particular category, i.e. Current 1-30 days, 31-60, 61-90, 91 plus or filed bankruptcy. Review your accounts and apply your company policy to that particular segment. By applying steps 1 -3, you’ll be able to proactively identify good candidates for increased credit limits, as well as those you’ll need to pay closer attention to because they may be headed for delinquency or collections. BusinessIQ allows you to easily pull reports, segment accounts and submit them for account review. It’s easy-to-use…plus, the Portfolio Module is free! Here’s a demo on the application. Look for future blog posts from me where I’ll write more about managing your portfolio. And, feel free to comment and let me know if there are specific topics you want to hear about.

Scoring is one of the fundamental ways to improve customer management and acquisitions in any business. Companies use scoring to predict what kind of risk they will be working with before granting credit. When those predictions turn out to be wrong and the accounts move into collections, scoring is crucial in determining which actions result in repayment. Many companies handle each past due account in the same manner. They make sure they have updated phone numbers and addresses; then send letters and make phone calls–all of which are important steps. However, treating each account the same is neither an effective nor efficient use of resources. When dealing with a large number of collection accounts and a staff that needs to do more with less, you need a segmentation strategy to determine which accounts are most collectible, and focus your efforts on those accounts. Scoring has been used in collection efforts for many years; however the economy has changed dramatically since recovery scores were developed so it’s time to start considering new recovery scoring technologies. The use of blended data, which combines account-level transactional data and credit data, and advanced analytics, are vital to producing the most predictive recovery results. Leveraging geographic-based summarized data provides another level of segmentation allowing decisions to be made based on such things as local jobless rates or localized wealth pockets where income is higher in certain areas. Today’s most profitable collections operations utilize segmentation strategies that consider the customer’s capacity to pay and probability of recovery. Corresponding treatment strategies are then aligned so that more money is spent on those customers that are more likely and willing to pay, while spending less money on those that are not likely and less willing to pay. Regardless of your company size, the interest in minimizing costs within collections operations and maximizing dollars recovered should be your goal. Innovations in recovery modeling will undoubtedly help you reach that goal. For additional information on recovery modeling, click here.


