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To provide consumers with clear-cut protections against disturbance by debt collectors, the Consumer Financial Protection Bureau (CFPB) issued a Notice of Proposed Rulemaking (NPRM) to implement the Fair Debt Collection Practices Act (FDCPA) earlier this year. Among many other things, the proposal would set strict limits on the number of calls debt collectors may place to reach consumers weekly and clarify requirements for consumer-facing debt collection disclosures. A bigger discussion Deliberation of the debt collection proposal was originally scheduled to begin on August 18, 2019. However, to allow commenters to further consider the issues raised in the NPRM and gather data, the comment period was extended by 20 days to September 18, 2019. It is currently still being debated, as many argue that the proposed rule does not account for modern consumer preferences and hinders the free flow of information used to help consumers access credit and services. The Association of Credit and Collection Professionals (ACA International) and US House lawmakers continue to challenge the proposal, stating that it doesn’t ensure that debt collectors’ calls to consumers are warranted, nor does it do enough to protect consumers’ privacy. Many consumer advocates have expressed doubts about how effective the proposed measures will be in protecting debtors from debt collector harassment and see the seven-calls-a-week limit on phone contact as being too high. In fact, it’s difficult to find a group of people in full support of the proposal, despite the CFPB stating that it will help clarify the FDCPA, protect lenders from litigation and bring consumer protection regulation into the 21st century. What does this mean? Although we don’t know when, or if, the proposed rule will go into effect, it’s important to prepare. According to the Federal Register, there are key ways that the new regulation would affect debt collection through the use of newer technologies, required disclosures and limited consumer contact. Not only will the proposed rules apply to debt collectors, but its provisions will also impact creditors and servicers, making it imperative for everyone in the financial services space to keep watch on the regulation’s status and carefully analyze its proposed rules. At Experian, our debt collection solutions automate and moderate dialogues and negotiations between consumers and collectors, making it easier for collection agencies to connect with consumers while staying compliant. Our best-in-class data and analytics will play a key role in helping you reach the right consumer, in the right place, at the right time. Learn more

For automotive dealers, identifying in-market customers is a critical part of creating long-term success. However, without the right consumer insights, trying to plan marketing strategies can make you feel like you are flying in the dark without radar. At Experian, we know that data is powerful, but analyzing industry-level data to bring it down to the local level requires resources that dealers don’t often have. That’s why we introduced the Automotive Intelligence Engine™, to make data more accessible to dealers through a user-friendly interface that highlights hyper-local insights to inform strategy. What can hyper-local insights do for you? Imagine you’re a local dealer trying to position your business to reach big-time sales success. You’ll need to have in-depth knowledge about your customers so you can stock your inventory and create marketing strategies. But if you only reference industry-level insights, finding and acting on the right trends can be an uphill battle. Instead, dealers need to be able to identify the trends within a 15-mile radius of their dealership to fully understand their potential customer base and maximize marketing spend and profits. When a potential buyer walks into your dealership, it is easy to ask them a variety of questions like, “Looking to buy or lease?” or, “What kind of vehicle fits your lifestyle?” These questions can provide key information that can help you assess the situation, but in this scenario, the customer must find you before you know what they need. With the abilities of the Experian Automotive Intelligence Engine, you can understand the demographics, psychographics, purchase behaviors, etc. of local customers, use the insights to refine your marketing efforts and then reach them before they ever visit your business. Such hyper-local data allows dealers to pinpoint customer demand and determine key events that can affect a customer’s purchase decision. For example, dealers that use the tool can see how many individuals in a certain area have leases set to expire and predict that they will be in the market for a car again. Users can also track which consumers are coming into positive equity with their cars, vehicle events like accidents or repairs, as well as life events like being a new homeowner or recent empty-nester. Industry-recognized tool presented at DrivingSales conference Experian’s hyper-local data insights have already been making waves in the auto sales industry. One dealership saw a 10% uplift in new car market share utilizing hyper-local strategies. Additionally, the data and analytical capabilities that power Experian’s Automotive Intelligence Engine won the Most Valuable Insight Competition at the 2019 DrivingSales President’s Club. As part of this recognition, Experian Automotive presented to auto sales executives from around the country at the DrivingSales Executive Summit in Las Vegas, NV on October 8. At the onset, leveraging data to inform strategy can seem like a daunting task—but it doesn’t need to be. Knowing how to use the right tools to pull the right data is essential to maximizing marketing spend, and ultimately, profits. To learn more about the Automotive Intelligence Engine, visit our website.

Experian is excited to have been chosen as one of the first data and analytics companies that will enable access to Social Security Administration (SSA) data for the purposes of verifying identity against the Federal Agency’s records. The agency’s involvement in the wake of Congressional interest and successful legislation will create a seismic shift in the landscape of identity verification. Ultimately, the ability to leverage SSA data will reduce the impact of identity fraud and synthetic identity and put real dollars back into the pockets of people and businesses that absorb the costs of fraud today. As this era of government and private sector collaboration begins, many of our clients and partners are breathing a sigh of relief. We see this in a common question our customers ask every day, “Do I still need an analytical solution for synthetic ID now that eCBSV is on the horizon?” The common assumption is that help is on the way and this long tempest of rising losses and identity uncertainty is about to leave us. Or is it? We don’t believe it’s the end of the synthetic ID storm. This is the eye. Rather than basking in the calm light of this moment, we should be thinking ahead and assessing our vulnerabilities because the second half of this storm will be worse than the first. Consider this: The people who develop and exploit synthetic IDs are playing a long game. It takes time, research, planning and careful execution to create an identity that facilitates fraud. The bigger the investment, the bigger the spoils will be. Synthetic ID are being used to purchase luxury automobiles. They’re passing lender marketing criteria and being offered credit. The criminals have made their investment, and it’s unlikely they will walk away from it. So, what does SSA’s pending involvement mean to them? How will they prepare? These aren’t hard questions. They’ll do what you would do in the eye of a storm — maximize the value of the preparations that are in place. Gather what you can quickly and brace yourself for the uncertainty that’s coming. In short, there’s a rush to monetize synthetic IDs on the horizon, and this is no time to declare ourselves safe. It’s doubtful that the eCBSV process will be the silver bullet that ends synthetic ID fraud — and certainly not on day one. It’s more likely that the physical demands of the data exchange, volume constraints, response times and the actionability of the results will take time to optimize. In the meantime, the criminals aren’t going to sit by and watch as their schemes unravel and lose value. We should take some comfort that we’ve made it through the first half of the storm, but recognize and prepare for what still needs to be faced.


