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The Experian Automotive Intelligence Engine™ enables dealers to find and reach potential customers

A few months ago, I got a letter from the DMV reminding me that it was finally time to replace my driver’s license. I’ve had it since I was 21 and I’ve been dreading having to get a new one. I was especially apprehensive because this time around I’m not just getting a regular old driver’s license, I’m getting a REAL ID. For those of you who haven’t had this wonderful experience yet, a REAL ID is the new form of driver’s license (or state ID) that you’ll need to board a domestic flight starting October 1, 2020. Some states already offered compliant IDs, but others—like California, where I’m from—didn’t. This means that if I want to fly within the U.S. using my driver’s license next year, I can’t renew by mail. It’s Easier Than It Looks Imagine my surprise when I started the process to schedule my appointment, and the California DMV website made things really easy! There’s an online application you can fill out before you get to the DMV and they walk you through the documents to bring to the appointment (which I was able to schedule online). Despite common thought that the DMV and agencies like it are slow to adopt technology, the ease of this process may indicate a shift toward a digital-first mindset. As financial institutions embrace a similar shift, they’ll be better positioned to meet the needs of customers. Case in point, the electronic checklist the DMV provided to prepare me for my appointment. I sailed through the first two parts of the checklist, confirming that I’ll bring my proof of identity and social security number, but I paused when I got to the “Two Proofs of Residency” screen. Like many people my age—read: 85% of the millennial population, according to a recent Experian study—I don’t have a mortgage or any other documents relating to property ownership. I also don’t have my name on my utilities (thanks, roomie) or my cell phone bill (thanks Mom). I do however have a signed lease with my name on it, plus my renter’s insurance, both of which are acceptable as proof of residency. And just like that, I’m all set to get my REAL ID, even though I don’t have some of the basic adulting documents you might expect, because the DMV took into account the fact that not all REAL ID applicants are alike. Imagine if lenders could adopt that same flexibility and create opportunities for the more than 45 million U.S. consumers1 who lack a credit report or have too little information to generate a credit score. The Bigger Picture By removing some of the usual barriers to entry, the DMV made the process of getting my REAL ID much easier than it might have been and corrected my assumptions about how difficult the process would be. Experian has the same line of thought when it comes to helping you determine whether a borrower is credit-worthy. Just because someone doesn’t have a credit card, auto loan or other traditional credit score contributor doesn’t mean they should be written off. That’s why we created Experian BoostTM, a product that lets consumers give read-only access to their bank accounts and add in positive utility and telecommunications bill payments to their credit file to change their scores in real time and demonstrate their stability, ability and willingness to repay. It’s a win-win for lenders and consumers. 2 out of 3 users of Experian Boost see an increase in their FICO Score and of those who saw an increase, 13% moved up a credit tier. This gives lenders a wider pool to market to, and thanks to their improved credit scores, those borrowers are eligible for more attractive rates. Increasing your flexibility and removing barriers to entry can greatly expand your potential pool of borrowers without increasing your exposure to risk. Learn more about how Experian can help you leverage alternative credit data and expand your customer base in our 2019 State of Alternative Data Whitepaper. Read Full Report 1Kenneth P. Brevoort, Philipp Grimm, Michelle Kambara. “Data Point: Credit Invisibles.” The Consumer Financial Protection Bureau Office of Research. May 2015.

As customer service continues its rapid shift to digital channels, consumer-finance companies have a powerful opportunity to engage customers and add value to the user experience. Credit education solutions can give customers valuable, personalized information and help lenders deliver relevant, prequalified credit offers that meet customers’ needs. The digital shift is well under way. The U.S. Consumer Financial Protection Bureau (CFPB), in its 2017 Consumer Credit Card Market Report, documents ongoing customer migration to digital platforms for every stage of the consumer interaction with creditors. In a survey of card lenders the CFPB characterizes as “mass market issuers,” which represent the majority of general-purpose and private-label credit cards issued in the U.S: In the past, mail and in-branch credit applications were the most popular conversion points for lenders, but today digital applications dominate, crushing direct mail as the biggest application generator. Beyond increasing customer acquisition and providing a channel for new applications, digital solutions are reshaping the entire consumer-finance process, creating a new end-to-end experience for banking consumers As consumers increasingly adopt digital channels for dealing with their finances, consumer finance companies face both a major opportunity and a significant challenge. Digital channels offer a powerful conduit for marketing additional products and services to customers, but fostering customer engagement with platforms can be tricky, as customer expectations are constantly evolving. The hallmark of digital channels is their convenience, which can be a double-edged sword for financial institutions. Quick, efficient digital services don’t give customers much reason to linger, and that can make it hard to create and act on cross-selling opportunities. So consumer finance companies that hope to boost engagement—and cross-sell opportunities—with their digital platforms must do so with valuable, compelling solutions—ideally interactive financial wellness tools that are personalized and highly relevant to the customer: Accenture, in its 2019 Global Financial Services Consumer Study, found significant majorities of consumers place high value on services including: Advice that is more relevant to personal circumstances Personalized services/ information that helps to reduce the risk of injury, loss, etc. Partnering with Experian, enables consumer-finance companies to provide customers with the kind of useful, high-value information customers want: Experian’s Credit Education services can help improve customers’ financial lives, Experian Identity Protection can help detect identity fraud and data theft. Experian’s credit-education services use customer credit data to help them set and track credit-improvement goals. Experian identity protection services can alert consumers immediately when suspicious activity is detected on their accounts (or in the names of their children) and can even help resolve cases of data abuse. The same access to credit data that powers Experian’s credit education services can help consumer-finance partners precision-target credit offers as their customers’ evolve in their needs and creditworthiness. Experian offers credit education and identity protection services as turnkey solutions, including fully hosted white-label platforms, hybrid options and APIs. Consumer-finance companies can quickly deploy these solutions, adapted to their own brand, to increase engagement and cross-sell opportunities and add meaningful value to the user experience. Learn more on our website

Pickups are the most common vehicle in operation at 20% share today and hold 16.5% of new vehicle registrations in the market in Q1 2019.

Consumer behavior is constantly evolving — from the channels they prefer to the economic trends spurring varying interest and activity. It’s no surprise that businesses find it challenging to know what their customers want today or tomorrow. But knowing and understanding this information is essential to growing your bottom line. Through years of working with businesses across every vertical, we’ve found that a solid approach to growing your business revolves around your customers. The better you know your customers, the better you can achieve your goals. Seeing the future. How well can you identify and rank your current customer population? Are you leveraging that insight to acquire new customers, manage current customers and prioritize collections efforts? If so, you’re probably using custom models in your business strategy. But if your organization is like many businesses, you may use a more traditional approach. In our highly competitive market, strategy and decisions must be based on the right data and insights. No excuses. The data is there, and we can help you turn it into actionable insights. Implementing a custom model can maximize your return on investment and help you make more profitable business decisions — now and in the future. No palm reading required. Without visiting your local fortuneteller, you still can predict the future. You need a model, but not the “runway” type. What constitutes a highly predictive and effective model? Many factors. A highly predictive custom model should incorporate robust data, advanced modeling methodologies, analytical expertise and attributes. Having these foundational components is essential to knowing your customers and making confident decisions. Models aren’t one-size-fits-all. When you take an innovative approach to model development, the model is targeted to support your specific business goals while providing the documentation required for regulatory reviews. Consider these items as you develop your custom model: Data — It all starts with the right data. Combining multiple data assets — your master-file data, our credit data and any additional data sources — is key to developing a robust model development sample. In other words, a model development sample should represent your future through-the-door population. Model design — To ensure the custom model is designed to help you achieve your specific goals, you’ll want to incorporate the latest analytics and modeling methodologies. An experienced analytics team will be essential here. Segmentation — With the right model development and segmentation strategies, you can identify optimal segments that will result in a more predictive custom model. This way, each consumer is scored on a scorecard developed using a credit profile similar to theirs. Validation — To ensure the model’s predictive ability and longevity, validate each custom model on a holdout sample and compare it with other scores to ensure it accounts for the current and future (through-the-door) consumer populations, as well as policy rule and behavioral changes. Regulatory review — Don’t forget about the documentation needed for compliance. While audits are unpleasant , fines and extensive scrutiny can significantly impact your business. Take your fortunetelling to the next level. Machine learning is all the rage. This cutting-edge technology can be embedded in your predictive models to help uncover patterns in data that may not be apparent otherwise. This can be done by comparing the performance of the machine learning model with your existing models. Once you know that machine learning can add the lift you’re looking for, you can apply that methodology to develop a custom model focused on stability, cost-efficiency, transparency and predictive performance. Predicting behavior across the Customer Life Cycle. How can a custom model benefit you? From improving baseline performance and increasing profitability by approving more good accounts to uncovering opportunities within your target market, custom models can provide the confidence needed to grow your business. Which one of these models can help you achieve your business goals? When it comes to accurately predicting customer behavior, you don’t need a crystal ball. You need a well-built, highly predictive custom model. Use the data that’s available to gain insight into your customers and grow your bottom line. If you need help, we’re here. We have the data, analytics and expertise to help you get started.

Digital channels undoubtedly create convenient experiences for consumers. We have the luxury of applying for loans or creating investment accounts from the comfort of home. However, the same opportunities are available to fraudsters. Fraudsters continue to find creative and innovative ways to expose vulnerabilities across all types of businesses. They prey on inexperienced or low-bandwidth teams that have not invested in the appropriate fraud tools in the past. Despite the imminent fraud risk involved, both consumers and businesses continue to embrace digital channels. With 90 percent of consumers worldwide conducting personal banking online, how do we protect these digital platforms with finite resources? A leading digital financial services company was forced to address this question when they experienced a large-scale fraud attack. But they weren’t in this fight alone. Download the full case study to see how our risk analyst used FraudNet to prevent millions of dollars in fraudulent funding. Client: A leading digital financial services company that operates with zero in-person branches with more than 7,000 employees Challenge/Objective: In October 2018, fraudsters deployed a large-scale, scripted attack against a North American financial services company. The fraud team was extremely understaffed. The fraud team was unable to detect and respond to the attack quickly. The fraudulent account opening activities eventually blended into account takeovers. Resolution: Our risk analyst worked quickly to analyze the geolocation, velocity and device rules firing within FraudNet for Account Opening. By having these rules in place, FraudNet was able to flag and outsort thousands of suspicious applications. Despite being a small team, the fraud investigators were able to work efficiently within the FraudNet workbench and review the true, high-risk applications. Results: Thanks to our risk analyst’s quick remediation and the FraudNet proprietary device rules: 23,800 fraudulent applications were outsorted for review. An estimated $35.7 million in fraudulent funding was prevented. However, the fight against fraud is ongoing. Our risk analyst continues to work closely with the fraud team to develop an effective strategy to prepare against future attacks.

Friend or foe? Sophisticated criminals put a great deal of effort into creating convincing, verifiable personas (AKA synthetic identities). Once the fictional customer has embedded itself in your business, everything from the acquisition of financial instruments to healthcare benefits, utility services, and tax filings and refunds become vulnerable to synthetic identity fraud. Information attached to synthetic IDs can run several levels deep and be so complete that it includes public record data, credit information, documentary evidence and social media profiles that may even contain photo sets and historical details intended to deceive—all complicating your efforts to identify these fake customers before you do business with them. See real-world examples of how synthetic identity fraud is souring various markets – from auto and healthcare to financial services and public sector – in our tip sheet, Four common synthetic scenarios. Stopping synthetic ID fraud — at the door and thereafter. There are efforts underway in the market to collectively improve your ability to identify, shut down and prevent synthetic identities from entering your portfolio. This overall trend is great news for the future, but there are also near-term solutions you can apply to protect your business starting now. While it’s important to identify synthetic identities when they knock on your door, it’s just as important to conduct regular portfolio checkups to prevent negative impacts to your collections efforts. Every circumstance has its own unique parameters, but the overarching steps necessary to mitigate fraud from synthetic IDs remain the same: Identify current and near-term exposure using targeted segmentation analysis. Apply technology that alerts you when identity data doesn’t add up. Differentiate fraudulent identities from those simply based on bad data. Review front- and back-end screening procedures until they satisfy best practices. Achieve a “single view of the customer” for all account holders across access channels—online, mobile, call center and face-to-face. The right tools for the job. In addition to the steps mentioned above, stopping these fake customers from entering and then stealing from your organization isn’t easy—but with the right tools and strategies, it is possible. Here are a few of our top recommendations: Forensics Isolate and segment identities based on signals received during early account pathing, from both individuals and their device. For example, even sophisticated fraud networks can’t mimic natural per-device user interaction because these organizations work with hundreds or thousands of synthetic identities using just a few devices. It’s highly unlikely that multiple geographically separate account holders would share the same physical device. High-risk fraud scores Not all synthetic identity fraud manifests the same way. Using sophisticated logic and unique combinations of data, a high-risk fraud score looks at a consumer’s credit behavior and credit relationships over time to uncover previously undetectable risk. These scores are especially successful in detecting identities that are products of synthetic identity farms. And by targeting a specific data set and relationships, you can maintain a frictionless customer experience and reduce false positives. Analytics Use a solution that develops models of bad applicant behavior, then compares and scores your portfolio against these models. There isn’t a single rule for detecting fraudulent identities, but you can develop an informed set of rules and targeted models with the right service partner. Cross-referencing models designed to isolate high-risk identity theft cases, first-party or true-name fraud schemes, and synthetic identities can be accomplished in a decisioning strategy or via a custom model that incorporates the aggregate scores and attributes holistically. Synthetic identity detection rules These specialized rules consist of numerous conditions that evaluate a broad selection of consumer behaviors. When they occur in specific combinations, these behaviors indicate synthetic identity fraud. This broad-based approach provides a comprehensive evaluation of an identity to more effectively determine if it’s fabricated. It also helps reduce the incidence of inaccurately associating a real identity with a fictitious one, providing a better customer experience. Work streams Address synthetic identities confidently by applying analytics to work streams throughout the customer life cycle: Credit risk assessment Know Your Customer/Customer Identification Program checks Risk-based identity proofing and authentication Existing account management Manual reviews, investigations and charge-offs/collections activities Learn more about these tools and others that can help you mitigate synthetic identities in our white paper, Synthetic identities: getting real with customers. If your organization is like most, detecting SIDs hasn't been your top priority. So, there's no time to waste in preventing them from entering your portfolio. Criminals are highly motivated to innovate their approaches as rapidly as possible, and it’s important to implement a solution that addresses the continued rise of synthetic IDs from multiple engagement points. With the right set of analytics and decisioning tools, you can reduce exposure to fraud and losses stemming from synthetic identity attacks from the beginning and across the customer life cycle. We can help you detect and mitigate these fake customers before they become delinquent. Learn more

  You can do everything you can to prepare for the unexpected. But similar to how any first-time parent feels… you might need some help. Call in the grandparents! Experian has extensive expertise and has been around for a long time in the industry, but unlike your traditional grandparents, Experian continuously innovates, researches trends, and validates best practices in fraud and identity verification. That’s why we explored two prominent fraud reports, Javelin’s 2019 Identity Fraud Study: Fraudsters Seek New Targets and Victims Bear the Brunt and Experian’s 2019 Global Identity and Fraud Report — Consumer trust: Building meaningful relationships online, to help you identify and respond to new trends surrounding fraud. What we found – and what you need to know – is there are trends, technology and tactics that can help and hinder your fraud-prevention efforts. Consider the many digital channels available today. A full 91 percent of consumers transacted online in 2018. This presents a great opportunity for businesses to serve and develop relationships with customers. It also presents a great opportunity for fraudsters as well – as almost half of consumers have experienced a fraudulent online event. Since the threat of fraud is not impacting customers’ willingness to transact online, businesses are held responsible for adapting and evolving to not only protect their customers, but to secure their bottom line. This becomes increasingly important as fraudsters continue to target and expose vulnerabilities across inexperienced lines of businesses. Or, how about passwords. Research has shown that both businesses and consumers have greater confidence in biometrics, but neither is ready to stop using passwords. The continued reliance on traditional authentication methods is a delicate balance between security, trust and convenience. Passwords provide both authentication and consumer confidence in the online experience. It also adds friction to the user experience – and sometimes aggravation when passwords are forgotten. Advanced methods, like physical and behavioral biometrics and device intelligence, are gaining user confidence by both businesses and consumers. But a completely frictionless authentication experience can leave consumers doubting the safeness of their transaction. As you respond and adapt to our ever-evolving world, we encourage you to build and strengthen a trusted relationship with your customers through transparency. Consumers know that businesses are collection data about them. When a business is transparent about the use of that data, digital trust and consumer confidence soars. Through a stronger relationship, customers are more willing to accept friction and need fewer signs of security. Learn more about these and other trends, technology and tactics that can help and hinder your authentication efforts in our new E-book, Upcoming fraud trends and how to combat them.

There were 276 million vehicles on the road in Q1 2019.

  Debt management is becoming increasingly complex. People don’t answer their phones anymore. There are many, many communication channels available (email, text, website, etc.) and just as many preferences from consumers regarding how they communicate. Prioritizing how much time and effort to spend on a debtor often requires help from advanced analytics and machine learning to optimize those strategies. Whether you are manually managing your collections strategies or are using advanced optimization to increase recovery rates, we’ve got keys to help you improve your recover rates. Watch our webinar, Keys to unlocking debt management success, to learn about: Minimizing the flow of accounts into collections and ensuring necessary information (e.g. risk, contact data) is used to determine the best course of action for accounts entering collections Recession readiness – prepare for the next recession to minimize impact Reducing costs and optimizing collections treatment strategies based on individual consumer circumstances and preferences Increasing recovery rates and improving customer experience by enabling consumers to interact with your organization in the most effective, efficient and non-threatening way possible Watch on-demand now>

Many may think of digital transformation in the financial services industry as something like emailing a PDF of a bank statement instead of printing it and sending via snail mail. After working with data, analytics, software and fraud-prevention experts, I have found that digital transformation is actually much more than PDFs. It can have a bigger and more positive influence on a business’s bottom line – especially when built on a foundation of data. Digital transformation is the new business model. And executives agree. Seventy percent of executives feel the traditional business model will disappear in the next five years due to digital transformation, according to recent Experian research. Our new e-book, Powering digital transformation: Transforming the customer experience with data, analytics and automation, says, “we live in a world of ‘evolve or fail.’ From Kodak to Blockbuster, we’ve seen businesses resist change and falter. The need to evolve is not new. What is new is the speed and depth needed to not only compete, but to survive. Digital startups are revolutionizing industries in months and years instead of decades and centuries.” So how do businesses evolve digitally? First, they must understand that this isn’t a ‘one-and-done’ event. The e-book suggests that the digital transformation life cycle is a never-ending process: Cleanse, standardize and enrich your data to create features or attributes Analyze your data to derive pertinent insights Automate your models and business practices to provide customer-centric experiences Test your techniques to find ways to improve Begin the process again Did you notice the key word or phrase in each of these steps is ‘data’ or ‘powered by data?’ Quality, reliable data is the foundation of digital transformation. In fact, almost half of CEOs surveyed said that lack of data or analytical insight is their biggest challenge to digital transformation. Our digital world needs better access to and insight from data because information derived from data, tempered with wisdom, provides the insight, speed and competitive advantage needed in our hypercompetitive environment. Data is the power behind digital transformation. Learn more about powering your digital transformation in our new e-book>

Beginning with the birth of stock muscle cars, like the Pontiac GTO, vehicles with powerful V8 engines permeated the roads in the 1960s. Given consumers’ “need for speed,” these vehicles were synonymous with American culture following World War II - some going as far as to call muscle cars as American as apple pie. It’s no doubt that these vehicles have made an undeniable lasting impression on the automotive industry. Today, there are still automotive enthusiasts who appreciate the style and strength of the muscle car, but most of us want practical vehicles with better fuel economy and easy maintenance. This has resulted in a dramatic increase in the volume of 4-cylinder vehicles on the road.   As seen in the graphic above, over the last 11 years, 4-cylinder engines have increased in volume over 55%, 6-cylinder have declined 4% and 8-cylinders have increased 9.8%. More power, smaller engines This trend doesn’t necessarily mean that those of us who elect for a smaller engine size aren’t able to satisfy our need for speed. Horsepower has received a significant boost over the past two decades. This has been partially driven by EPA guidelines, as manufacturers have implemented engine enhancements to increase gas mileage to meet the guidelines, resulting in higher horsepower. 4-cylinder engines have as much horsepower today as 6-cylinder engines had in 2003. That gives today’s drivers a lot more pep in engine performance. Similarly, today's 6-cylinder engines have nearly the same horsepower today that V8s had in 2009. Where does that leave true muscle car enthusiasts? Well, if you are looking for raw power, things are looking up. In 2018, V8 engines averaged a whopping 370.4 horsepower, nearly double V8 output of 204 horsepower in 1999. Those who buy V8s today have power to burn. Above chart detailing percentage of total volume count and average vehicle MAX HP over history. The automotive market is driven by consumer preferences and offers a range of engine options, which provides something for everyone. The boost in horesepower in today’s engines provides a nice mix of fuel economy and performance. While muscle cars remain an important fixture in American society and automotive culture, demand has shifted and understanding these data points in the broader industry context empowers dealers to make the right inventory decisions. To learn more about the latest automotive trends impacting the marketplace, view the full Q4 2018 Automotive Market Trends Analysis.

When it comes to new vehicle registration, there is one segment that stands out from the pack: crossover vehicles. According to Experian’s Q4 2018 Automotive Market Trends Analysis, over the last four years, crossovers (CUVs) have spiked in popularity, representing about a third of new vehicle registrations in 2014 (34.1 percent), but growing to nearly half the new vehicle market in 2018 (47.6 percent). In fact, the large growth in CUVs isn’t limited to just the last four years – there was a large volume of growth year-over-year compared to 2017; the share has grown nearly 4 percent. Sedans and hatchbacks, meanwhile, have seen their share decrease year-over-year. The charts below detail this change in market, based on Experian’s latest 2018 quarterly findings. Source: Experian Automotive VIO as of December 31, 2018 (light duty registered vehicles only) What’s driving this growth? Across the board, the number of light-duty vehicles on the road continues to increase, up to 275.3 million in the U.S. market, at the end of 2018, compared to 271.4 million a year prior. The growth in CUVs isn’t entirely unprecedented, as it’s been going on for a number of years.  CUVs continue to grow in popularity for a variety of reasons including: Greater visibility, as the driver sits higher than in a sedan/coupe Larger storage capacities for passengers or cargo Number of varieties available, such as size, engines, and manufactures Higher fuel efficiency than a full-size SUV or minivan Currently, there are over 130 different CUV/SUV Make/Model combos offered, and of those, the different engines, options, etc. drive that volume even higher. Source: Experian Automotive VIO as of December 31, 2018 (light duty registered vehicles only) Potential for growth Currently, there are only two CUVs among the top vehicles in the aftermarket “sweet spot.” Vehicles in the sweet spot are 6 to 12 model years old, and typically aged out of general OEM warranties for any repairs. These vehicles likely require more part replacement services, which may be performed by aftermarket service shops using parts from aftermarket part manufacturers. According to Experian data, the sweet spot has stopped falling and has settled for now. But, there is expected growth of the number of vehicles that fall into the sweet spot over the coming years. One of the segments where the aftermarket industry can begin to focus on will be CUVs. Source: Experian Automotive VIO as of December 31, 2018 (light duty registered vehicles only) The aftermarket can use this data to make more informed product decisions, specifically, around the high volume of CUVs expected to come into the sweet spot. With the number of vehicle options available on the market today, CUVs will continue to stand out as a segment to watch within the auto industry. There’s a greater story beyond the numbers and understanding how to leverage the data at hand can provide the industry with a greater understanding of CUVs and its potential for even greater growth. To learn more about CUVs/SUVs and total vehicles in operation, view the full Q4 2018 Automotive Market Trends Analysis.

Whenever someone checks in for a flight, airport security needs to establish their identity. Prior to boarding the plane, passengers are required to show a government-issued ID. Agents check IDs for validity and compare the ID picture to the face of the person standing in front of them. This identity proofing is about making sure that would-be flyers really are who they claim to be. But what about online identity proofing? That’s much more challenging. Online banks certainly want to make sure they know a person’s identity before giving them access to their account. But for other online services, it’s fine to remain anonymous. The amount of risk involved in the engagement directly ties to the amount of verification and assurance needed for the individual. Government agencies care very much about identity. They won’t — and shouldn’t — issue a tax refund, provide a driver’s license or allow someone to sign up for Social Security benefits before they’re certain that the claimant’s identity is verified. Since we increasingly expect the same online user experience from government service providers as from online banks, hotel websites and retailers, this poses a challenge. How do government agencies establish a sufficient level of assurance for an online identity without sending their customers to a government office for face-to-face identity verification? To answer this challenge, the National Institute of Standards and Technology (NIST) has developed Digital Identity Guidelines. In its latest publication, SP 800-63-3, NIST helps government agencies implement their digital services while still mitigating the identity risks that come with online service provision. The ability to safely sign up, transact and interact with a government agency online has many benefits. Applying for something like unemployment insurance online is faster, cheaper and more convenient than using paper and waiting in line at a government field office. And for government agencies themselves, providing online services means that they can improve customer satisfaction levels while reducing their costs and subsequent bureaucracy. CrossCore®, was recently recognized by the independent Kantara Initiative for its conformance with NIST’s Digital Identity Guidelines for Identity Assurance (IAL2). Our document verification solution combines authoritative sources, machine learning and facial recognition technology to identify people accurately using photo-based government identification like a driver’s license or passport. The best part? Users can verify their identity in about 60 seconds, at whatever location they prefer, using their personal smartphone.

Like every other industry, the automotive market is driven by consumer preferences and behavior. While there are a myriad of options to choose from, fuel-type seems to dominate media headlines as a hot topic of conversation among industry pundits and consumers, alike. Little surprise then that alternative fuel vehicles, which include diesels and hybrids, have maintained a steady demand over the past few years. But, there’s a specific segment that’s beginning to emerge. As we detailed in our earlier blog series, electric vehicles (EVs) are began to stand out as a prominent alternative fuel vehicle. And during Q3 2018, we saw more of the same. EVs held 1.8 percent share of total vehicle registrations. While that number may seem small, consider this.  Just two years ago, in 2016, EVs comprised only 0.5 percent of registrations, growing at a much slower pace since 2014, when it was 0.4 percent. It’s worth noting that gasoline-powered cars still dominate the market, making up 92.9 percent of registered vehicles through Q3 2018. But, the demand for alternative fuel type options should not be underestimated. Alternative fuel vehicles are becoming a significant segment in today’s auto market, and the large growth in EVs are a testament to that growth. While EVs are proving to be a popular option compared to other alternative fuel types, other options remained steady. Diesel vehicles maintained 2.8 percent of the market year-over-year, while hybrid vehicles saw a slight increase since 2017, growing from 2.6 to 2.8 percent of the market. A picture of the alternative fuel buyer So, who’s investing in these alternative fuel vehicles? We see that most buyers tend to be married, single family home owners with a college education, and belong to either the Baby Boomer generation or Gen X. It’s interesting to note that EVs make up a notable percentage of registrations of alternative fuel type preferences across generational car buyers, according to Q3 registration data. Among Baby Boomers, EVs fall second to hybrids, accounting for 1.0 percent of registered alternative fuel type vehicles compared to 1.2 percent respectively. But, EVs made up the biggest share of alternative fuel type registrations among Millennials (1.1 percent) and Gen X’ers (1.2 percent). With the number of vehicle options available on the market today, EVs stand out as a segment to watch within the auto industry. There’s a greater story beyond the numbers and understanding how to leverage the data at hand can provide the industry with a greater understanding of the EV market and its potential. To learn more about the electric vehicle market and other alternative fuel type vehicles, view the full Q3 2018 Automotive Market Trends Analysis webinar.