Ecommerce / Retail

“Businesses are managing vast and growing amounts of consumer data – all while ensuring consumers’ privacy and complying with complex government regulations.” This is one of the many reasons there’s an increasing need for innovative digital identity solutions, as explored in a in Axios in a new Experian advertorial. Experian Identity, an integrated suite of identity solutions, products, and services, solves for challenges presented by the continuing migration of consumers to the internet and the resulting growth of consumer data. Leveraging that data stemming from diverse sources and combining it with advanced technologies, is critical to better determining and understanding a company’s best marketing prospects, as well as making confident decisions that enhance and safeguard the consumer experience. How? By leveraging multidimensional data and adhering to all consumer protection laws and industry self-regulatory standards, businesses can best recognize and connect with their consumers in more personalized, meaningful and secure ways. The Axios article discusses the benefits of Experian Identity, including strengthening fraud detection, solving for identity resolution, and helping to uncover business opportunities through segmenting, targeting and engaging consumers. “While today’s consumers are intensely interested in protecting their personal data and identities, they also want to be recognized and understood by the companies they do business with,” said Kathleen Peters, Chief Innovation Officer of Experian Decision Analytics, in the article. Read more about how Experian’s identity solutions helps businesses stay relevant with audiences, create a positive consumer experience, and meet people’s desire to be recognized in Axios’ new article. AXIOS: Making identities personal Learn more about Experian Identity

Previously, the Global Identity and Fraud Report called for businesses to meet consumer expectations for online recognition and security while improving the digital experience. Organizations have answered this call with investments and new initiatives, but the fraud risk persists and consumers are relying on businesses to protect them. In our latest report, we explore the issues associated with siloed recognition processes, consumer expectations and preferences, and effective risk strategies.   We surveyed more than 6,000 consumers and 1,800 businesses worldwide about this connection for our 2022 Global Identity and Fraud Report.   This year’s report dives into:   How online security yields engagement and trust with today’s digital consumers The role of businesses in protecting online consumers, and the associated benefits The current opportunity for businesses to implement multiple identity and fraud solutions The role that orchestration and outsourcing play in helping companies prevent fraud   To earn consumer trust and loyalty, organizations need to leverage automated solutions to identify and protect consumers across their online journeys while providing seamless recognition and low-friction fraud prevention with a robust and flexible fraud platform. To learn more about our findings and how to implement an effective solution, download Experian’s 2022 Global Identity and Fraud Report. Read the report Review your fraud strategy

In the first six months of 2021, there was $590 million in ransomware-related activity, which exceeds the value of $416 million reported for the entirety of 2020 according to the S. Treasury's Financial Crimes Enforcement Network. Constant economic pressure coupled with the ever-increasing volume of data online have created an environment that’s ripe for attacks, leaving businesses and consumers vulnerable to attacks and theft. What are ransomware attacks? Ransomware is a subset of malicious software, AKA malware, that either threatens to publish or block access to data or a computer system. It often takes the form of a cyberattack where criminals take over an organization’s computer network. Once they’ve assumed control, the hackers demand a ransom to restore access to the illicitly encrypted data. Additionally, ransomware attacks and data breaches are now becoming more closely linked, with sensitive data including employees’ personal information, HR records, and more being filtered out and distributed during or after the attack. In fact, Experian has found that 7 of 10 data breaches involve ransomware. The negative impact of ransomware attacks According to the Identity Theft Resource Center, the average ransom demand in 2021 was $5.3 million, a 518% increase from the 2020 average. Experian’s latest Data Breach Response Guide found that businesses were hit with ransomware attacks every 11 seconds in 2021. These attacks also take up to 20% longer to begin breach notifications, leaving businesses even more vulnerable. In addition to the monetary loss and the time spent responding to and recovering from the attack, businesses also stand to suffer reputational damage, because consumer sentiment is that companies are responsible for protecting data. Having a plan in place makes a sizeable impact though, with 90% of consumers being more forgiving of companies that had a response plan in place prior to a breach. How to protect against ransomware attacks Experian’s 2022 Future of Fraud Forecast predicts that ransomware will be a significant fraud threat for companies as fraudsters will look for a sizeable ransom to cede control and potentially steal data from the hacked company. Preparing for the possibility of an attack includes training your staff to spot the signs of a phishing attempt, having a response plan in place, and leveraging partner solutions. To learn more about how Experian helps businesses protect against the fallout of a ransomware attack, visit us, and be sure to read about our other Future of Fraud predictions about cryptocurrency and Buy Now, Pay Later fraud. Request a call Future of Fraud Forecast

Cryptocurrency scams are on the rise as digital currencies gain popularity. The decentralized nature of these currencies makes them equally attractive to both legitimate consumers and fraudsters. Businesses may find themselves in a difficult position as they seek to prevent cryptocurrency-related fraud and help protect consumers. What are cryptocurrency scams? Cryptocurrencies are virtual currencies often based on and secured by blockchain technology. However, this does not always translate into security for the individual consumer. Many individuals fall victim to either cryptocurrency investment scams or cryptocurrency theft. Cryptocurrencies are not yet well-regulated or backed by a sovereign entity, leaving consumers open to threats when purchasing funds. The deregulated nature of the currencies makes it easy for scammers to build what appear to be legitimate cryptocurrency projects before disappearing, similar to pump-and-dump stock schemes. Additionally, scammers will perpetrate romance or other relationship-based scams and convince the victim to send them funds in cryptocurrency form. Cryptocurrency theft follows a few traditional fraud patterns: The fraudster may use phishing or social engineering to steal credentials. A crime ring might leverage malware or keystroke loggers to do the same thing. A scammer might present a “reward” to an unsuspecting consumer and require access to their wallet in order to “gift” the reward. Scammers consistently find new ways to trick unsuspecting consumers, including a recent scam relying on QR codes to steal funds converted to cryptocurrency via an ATM. Other common scams utilize imposter websites, fake mobile apps, bad tweets, or scamming emails to steal information and funds. The impact of scams on consumers According to the FTC, investment cryptocurrency scam reports have skyrocketed, with nearly 7,000 people reporting losses totaling more than $80 million from October 2020 to March 2021, with a media loss of $1,900. In 2020 the Better Business Bureau Scam Tracker Risk Report ranked cryptocurrency scams as the seventh riskiest. In 2021, they jumped to the second riskiest scam. In Michigan alone 31 cryptocurrency scams were reported from January 2020 to March 2022, with reported loses from $350 all the way to $41,000. The impact of scams on businesses While the true impact of cryptocurrency scams on businesses is hard to measure, it’s easy to identify several areas for concern. First is the opportunity for the theft of personally identifiable information (PII) during a fraudulent cryptocurrency transaction. Once fraudsters have stolen funds, they may also funnel them through a legitimate business and turn them into a regulated form of currency for easy of use. Businesses with legitimate cryptocurrency interactions may also suffer from spoofed apps or websites, causing reputational damage when consumers are taken in by a scam. Preventing the fallout from scams As companies debate accepting cryptocurrency as a form of payment, it’s important to consider that funds may be stolen or accessed by a malicious party. One way to protect your organization is to have a strong device identification strategy that can help ensure the entity accessing an account and the funds within is the true owner. By layering in this protection with other fraud defenses, businesses can be better prepared as consumer payment preferences shift. Additionally, financial institutions and other organizations should keep consumers informed about how to protect their own data and signs of scams. To learn more about how Experian is helping businesses develop and maintain effective fraud and identity solutions, visit us or request a call. And keep an eye out for additional in-depth explorations of our Future of Fraud Forecast. Request a call Future of Fraud Forecast

With consumers continuing to take a digital-first approach to everything from shopping to dating and investing, fraudsters are finding new and innovative ways to commit fraud. To help businesses anticipate and prepare for the road ahead, we created the 2022 Future of Fraud Forecast. Here are the fraud trends we expect to see over the coming year: Buy Now, Pay Never: Buy now, pay later lenders will see an uptick in identity theft and synthetic identity fraud. Beware of Cryptocurrency Scams: Fraudsters will set up cryptocurrency accounts to extract, store and funnel stolen funds, such as the billions of stimulus dollars swindled by criminals. Double the Trouble for Ransomware Attacks: Fraudsters will not only ask for a hefty ransom to cede control back to the companies they’ve hacked but also steal and leverage data from the hacked company. Love, Actually?: Romance scams will continue to see an uptick, with fraudsters asking victims for money or loans to cover fabricated travel costs, medical expenses and more. Digital Elder Abuse Will Rise: Older consumers and other vulnerable digital newbies will be hit with social engineering and account takeover fraud. “Businesses and consumers need to be aware of the creativity and agility that fraudsters are using today, especially in our digital-first world,” said Kathleen Peters, Chief Innovation Officer at Experian Decision Analytics in North America. “Experian continues to leverage data and advanced analytics to develop innovative solutions to help businesses prevent fraudulent behavior and protect consumers.” To learn more about how to protect your business and customers from rising fraud trends, download the Future of Fraud Forecast and check out Experian’s fraud prevention solutions. Future of Fraud Forecast Read Press Release

Experian’s newest Global Insights Report found that consumers are online 25% more today than they were just a year ago, highlighting the importance of the digital customer experience. To acquire customers and retain their loyalty, businesses need to focus on improving the online experience, preventing fraud, and managing credit risk.   This September, Experian surveyed 3,000 consumers and 900 businesses across all industries to explore business priorities and recent changes in consumer activities.   Many businesses and consumers are reportedly feeling more economically stable now than they were a year ago. As consumers resume spending the digital customer experience becomes even more paramount – requiring businesses to invest in scalable software solutions that will accurately assess credit risk and meet ever-changing needs and priorities.   Our research found that:   42% of consumers have increased concern for the safety of banking and shopping transactions Business adoption of advanced analytics has increased over last year, and adoption of artificial intelligence is up from 69% to 74% Consumers are more likely to share their personal data if it improves their experience, with 56% willing to share their contact information The top three consumer priorities continue to be security, privacy and convenience   Download the report to get all the latest insights into consumer desires and business behaviors as we move further through the digital evolution. Download the report

It’s time for organizations to harness the power artificial intelligence (AI) can bring to digital identity management – quickly and accurately identifying consumers throughout the lifecycle. The rise in crime   The acceleration to digital platforms created a perfect storm of new opportunities for fraudsters. Synthetic identity fraud, stimulus-related fraud, and other types of cybercrime have seen huge upticks within the past year and a half. In fact, the Federal Trade Commission revealed that consumers reported over 360,000 complaints, resulting in more than $580 million in COVID-19-related fraud losses as of October 2021. To protect both themselves and consumers, businesses — especially lenders — will have to find and incorporate new strategies to identify customers, deter fraudsters and mitigate cybercrime. The benefits of AI for digital identity In our latest e-book, we explore the impacts of AI on organizations’ digital identity strategies, including: How changing consumer expectations increased the need for speed The challenges associated with both AI and digital identities The path forward for digital identity and AI How to develop the right strategy Building a solution It’s clear that current digital identity and fraud prevention tools are not enough to stop cybercriminals. To stay ahead of fraudsters and keep consumers happy, businesses need to look to new technologies — ones that can intake and compute large data sets in near-real time for better and faster decisions throughout the customer lifecycle. By using AI, businesses will enjoy a fast and consistent decisioning system that automatically routes questionable identities to additional authentication steps, allowing employees to focus on the riskiest cases and maximizing efficiency. Read our latest e-book to dive into the ways artificial intelligence and digital identity interact, and the benefits a clear identity strategy can have for the entire user journey. Download the e-book

The Telephone Consumer Protection Act (TCPA), which regulates telemarketing calls, autodialed calls, prerecorded calls, text messages and unsolicited faxes, was originally passed in 1991. Since that time, there have been many rulings and updates that impact businesses’ ability to maintain TCPA compliance.   Recent TCPA Changes   On December 30, 2020, the Federal Communications Commission (FCC) updated a number of TCPA exemptions, adding call limits and opt-out requirements, and codifying exemptions for calls to residential lines.   These changes, along with other industry changes, have added additional layers of complication to keeping compliant while still optimizing operations and the consumer experience.   Maintaining TCPA Compliance   Businesses who do not maintain TCPA compliance could be subject to a lawsuit and paying out damages, and potential hits to their reputation.   With the right partner in place, businesses can maintain data hygiene and accuracy to increase right-party contact (and reduce wrong-party contact) to keep collections streamlined and improve the customer experience.   Using the right technology in place, it’s easier to:   Monitor and verify consumer contact information for a better customer experience while remaining compliant. Receive and monitor daily notifications about changes in phone ownership information. Maintain compliance with Regulation F by leveraging a complete and accurate database of consumer information.   When searching for a partner, be sure to look for one who offers data scrubbing, phone type indicators, phone number scoring, phone number identity verification, ownership change monitoring, and who has direct access to phone carriers.   To learn more about how the right technology can help your business maintain TCPA compliance, visit us or request a call. Learn more

Lately, I’ve been surprised by the emphasis that some fraud prevention practitioners still place on manual fraud reviews and treatment. With the market’s intense focus on real-time decisions and customer experience, it seems that fraud processing isn’t always keeping up with the trends. I’ve been involved in several lively discussions on this topic. On one side of the argument sit the analytical experts who are incredibly good at distilling mountains of detailed information into the most accurate fraud risk prediction possible. Their work is intended to relieve users from the burden of scrutinizing all of that data. On the other side of the argument sits the human side of the debate. Their position is that only a human being is able to balance the complexity of judging risk with the sensitivity of handling a potential customer. All of this has led me to consider the pros and cons of manual fraud reviews. The Pros of Manual Review When we consider the requirements for review, it certainly seems that there could be a strong case for using a manual process rather than artificial intelligence. Human beings can bring knowledge and experience that is outside of the data that an analytical decision can see. Knowing what type of product or service the customer is asking for and whether or not it’s attractive to criminals leaps to mind. Or perhaps the customer is part of a small community where they’re known to the institution through other types of relationships—like a credit union with a community- or employer-based field of membership. In cases like these, there are valuable insights that come from the reviewer’s knowledge of the world outside of the data that’s available for analytics. The Cons of Manual Review When we look at the cons of manual fraud review, there’s a lot to consider. First, the costs can be high. This goes beyond the dollars paid to people who handle the review to the good customers that are lost because of delays and friction that occurs as part of the review process. In a past webinar, we asked approximately 150 practitioners how often an application flagged for identity discrepancies resulted in that application being abandoned. Half of the audience indicated that more than 50% of those customers were lost. Another 30% didn’t know what the impact was. Those potentially good customers were lost because the manual review process took too long. Additionally, the results are subjective. Two reviewers with different levels of skill and expertise could look at the same information and choose a different course of action or make a different decision. A single reviewer can be inconsistent, too—especially if they’re expected to meet productivity measures. Finally, manual fraud review doesn’t support policy development. In another webinar earlier this year, a fraud prevention practitioner mentioned that her organization’s past reliance on manual review left them unable to review fraud cases and figure out how the criminals were able to succeed. Her organization simply couldn’t recreate the reviewer’s thought process and find the mistake that lead to a fraud loss. To Review or Not to Review? With compelling arguments on both sides, what is the best practice for manually reviewing cases of fraud risk? Hopefully, the following list will help: DO: Get comfortable with what analytics tell you. Analytics divide events into groups that share a measurable level of fraud risk. Use the analytics to define different tiers of risk and assign each tier to a set of next steps. Start simple, breaking the accounts that need scrutiny into high, medium and low risk groups. Perhaps the high risk group includes one instance of fraud out of every five cases. Have a plan for how these will be handled. You might require additional identity documentation that would be hard for a criminal to falsify or some other action. Another group might include one instance in every 20 cases. A less burdensome treatment can be used here – like a one-time-passcode (OTP) sent to a confirmed mobile number. Any cases that remain unverified might then be asked for the same verification you used on the high-risk group. DON’T: Rely on a single analytical score threshold or risk indicator to create one giant pile of work that has to be sorted out manually. This approach usually results in a poor experience for a large number of customers, and a strong possibility that the next steps are not aligned to the level of risk. DO: Reserve manual review for situations where the reviewer can bring some new information or knowledge to the cases they review. DON’T: Use the same underlying data that generated the analytics as the basis of a review. Consider two simplistic cases that use a new address with no past association to the individual. In one case, there are several other people with different surnames that have recently been using the same address. In the other, there are only two, and they share the same surname. In the best possible case, the reviewer recognizes how the other information affects the risk, and they duplicate what the analytics have already done – flagging the first application as suspicious. In other cases, connections will be missed, resulting in a costly mistake. In real situations, automated reviews are able to compare each piece of information to thousands of others, making it more likely that second-guessing the analytics using the same data will be problematic. DO: Focus your most experienced and talented reviewers on creating fraud strategies. The best way to use their time and skill is to create a cycle where risk groups are defined (using analytics), a verification treatment is prescribed and used consistently, and the results are measured. With this approach, the outcome of every case is the result of deliberate action. When fraud occurs, it’s either because the case was miscategorized and received treatment that was too easy to discourage the criminal—or it was categorized correctly and the treatment wasn’t challenging enough. Gaining Value While there is a middle ground where manual review and skill can be a force-multiplier for strong analytics, my sense is that many organizations aren’t getting the best value from their most talented fraud practitioners. To improve this, businesses can start by understanding how analytics can help group customers based on levels of risk—not just one group but a few—where the number of good vs. fraudulent cases are understood. Decide how you want to handle each of those groups and reserve challenging treatments for the riskiest groups while applying easier treatments when the number of good customers per fraud attempt is very high. Set up a consistent waterfall process where customers either successfully verify, cascade to a more challenging treatment, or abandon the process. Focus your manual efforts on monitoring the process you’ve put in place. Start collecting data that shows you how both good and bad cases flow through the process. Know what types of challenges the bad guys are outsmarting so you can route them to challenges that they won’t beat so easily. Most importantly, have a plan and be consistent. Be sure to keep an eye out for a new post where we’ll talk about how this analytical approach can also help you grow your business. Contact us

Earlier this year, we shared our predictions for five fraud threats facing businesses in 2021. Now that we’ve reached the midpoint of the year and economic recovery is underway, we’re taking another look at how these threats can impact businesses and consumers.   Putting a Face to Frankenstein IDs: Synthetic identity fraudsters will attempt to bypass fraud detection methods by using AI to combine facial characteristics from different people to form a new identity. Overexposure: As many as 80% of SSNs may have been exposed on the dark web, creating opportunities for account application fraud. The Heist: Surges in data breaches, advances in automation, expanded online banking services and vulnerabilities exposed from social engineering mistakes have lead to rises in account takeover fraud. Overstimulated: Opportunistic fraudsters may take advantage of ongoing relief payments by using stolen data from consumers. Behind the Times: Businesses with lackluster fraud prevention tools and insufficient online security technology will likely experience more attacks and suffer larger losses.   To learn more about upcoming fraud threats and how to protect your business, download our new infographic and check out Experian’s fraud prevention solutions. Download infographic Request a call

The pandemic changed nearly everything – and consumer credit is no exception. Data, analytics, and credit risk decisioning are gaining an even more significant role as we grow closer to the end of the global crisis. Consumers face uneven roads to recovery, and while some are ready to spend again, others are still dealing with pandemic-related financial stress. We surveyed nearly 9,000 consumers and 2,700 businesses worldwide about how consumers are stabilizing their finances and businesses are returning to growth for our new Global Decisioning Report. In this report, we dive into: Key business priorities in 2021 Financial concerns for consumers How to navigate an uneven recovery Business priorities for the year ahead The importance of the online experience As we begin to near the end of the pandemic, businesses need to prioritize technology that enables a responsive, flexible, efficient and confident approach. This can be done by leveraging advanced data and analytics and integrating machine learning tools into model development. By investing in the right credit risk decisioning tools now, you can help ensure your future. Download the report

Experian recently announced its expansion into Employer Services and the release of a new suite of real-time income and employment verification products, Experian Verify™. The COVID-19 pandemic amplified lenders' need for deeper insights into a consumer's financial situation. At the same time, employers were flooded with record-breaking unemployment claims, while managing stay-at-home orders, income and employment verification fulfillment requests, and more. "We're committed to helping employers, businesses, lenders, and consumers on the road to recovery from the pandemic and beyond," said Alex Lintner, Group President Experian Consumer Information Services. "To support this, we're building two businesses: Experian Employer Services and Verification Solutions. These businesses will create meaningful change and provide our clients with competitive options to achieve their verification needs while helping improve access to credit for consumers." With Experian Verify, lenders can quickly and easily create a more complete picture of a consumer's financial situation by verifying an applicant's income and employment status. Powered by our growing network of payroll and proprietary employer data, Experian Verify offers lenders flexible and secure access to income and employment records. With a consumer's consent, lenders can request the information from Experian and an income and employment report can be delivered to lenders through an API, online Experian dashboard, or paired with an Experian credit report. "As we begin to recover from the COVID-19 pandemic and employers are reopening their doors, we're confident we have assembled the best-of-the-best to help employers overcome their toughest challenges. We're committed to leveraging our combined capabilities and focus on high-touch customer service to deliver secure, scalable and transparent services to employers," said Michele Bodda, President of Experian Mortgage, Employer Services and Verification solutions. Visit us for more information on Experian Verify and Experian's Employer Services. Contact us

To grow in today’s economic climate and beat the competition, financial institutions need to update their acquisition and cross-sell strategies. By doing so, they are able to drive up conversions, minimize risk, and ultimately connect consumers with the right offers at the right time. Businesses and consumers are spending more time online than ever before, with 40% of consumers increasing the number of businesses they visit online. They’ve also made it clear that they expect easy, frictionless transactions with their providers. This includes new accounts and offers of credit – creating the need for better delivery systems. Effective targeting and conversion come down to more than just direct mail and email subject lines, especially now in a volatile economy where consumers are seeking appropriate products for their current situation. Be the first to meet consumers’ needs by leveraging the freshest data, advanced analytics, and automated decision systems. For example, when a consumer tries to open a checking account, the system can initiate a “behind-the-scenes” real-time prescreen request while assessing information needed to open the deposit account. The financial institution can then see if the consumer qualifies for overdraft protection, refinancing offers, loans, credit cards, and more. By performing the pre-approval process in seconds, financial institutions can be sure that they're making the right offers to the right customer, and doing it at the right time. All of this helps to increase the offer acceptance rate, improving customer retention, and maximizing customer account life-time value. The pandemic upended a lot of the ways that your businesses run day-to-day – from where you work to how you (better) engage with customers. Arguably, some of the changes have been long overdue, particularly the acceleration to digital and better customer acquisition strategies. Ahead lies the opportunity to grow – strategies enacted now will determine the extent of that opportunity. To learn more about how Experian can help you assess your prescreen strategy and grow, contact us today. Request a call

For the last several months, Experian has participated as the only credit bureau in the pilot of the electronic Consent Based Social Security Number (SSN) Verification (eCBSV) service. As we move forward to general rollout and expanded availability later this year, it’s time to review the benefits of eCBSV and how it helps businesses prevent synthetic identity fraud.   Service and program overview The eCBSV service combats synthetic identity fraud by comparing data provided electronically by approved financial institutions against the Social Security Administration’s (SSA) database in real time. This service helps financial institutions verify SSNs more efficiently and enables improved experiences for identifying legitimate or possibly synthetic identities applying for your products.   The verification process begins with consent from the SSN holder – and with eCBSV this consent is provided electronically rather than via a wet signature. Then, the SSN is checked against the SSA database to validate the SSN, name, and date of birth combination are or are not a match. The verification will also indicate if the SSN is listed as deceased with the SSA. Together, these factors can help flag whether or not an identity is synthetic.   By managing this process electronically, it is faster, more secure, and more efficient than before, offering an improved experience for consumers and the financial institutions that service them.   Layering solutions While eCBSV is an excellent step forward in the fight against the rising threat of synthetic identity fraud, a layered fraud mitigation strategy is still necessary. It’s only by layering solutions that financial institutions can accurately identify different types of fraud and provide them with the correct treatment, which is especially important when it comes to rooting out fraud when it’s already embedded in a portfolio.   To learn more about how Experian is helping to combat synthetic identity fraud and how eCBSV can benefit your financial institution, request a call. Request a call

Preventing fraud losses requires an understanding of each individual fraud type—including third-party, first-party, synthetic identity, and account takeover fraud—and how they differ from one another. It’s only with a multi-layered fraud strategy that businesses can adequately detect and treat each type of fraud while maintaining the customer experience. When’s the last time you reviewed your existing fraud strategy? Download infographic Review your fraud strategy