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Call if you need to, but protect yourself from TCPA exposure first. Follow these steps when creating your dialing strategy: Obtain customer consent Determine if the number is attached to a landline or a wireless device Verify ownership Scrub your database   Calling cell numbers can be a risky business, so be sure to set the proper workflow in motion to remain compliant. >>Learn more

Businesses believe that 23% of their customer or prospect data is inaccurate. Since 84% of companies have a loyalty or customer engagement program in place, poor data is a costly issue.  The unfortunate reality is that 74% of companies have encountered problems with these programs — and 12% of revenue is believed to be wasted as a result. Is your loyalty program suffering from poor data? There is a cure. Think of data quality as preventative medicine for a costly and entirely avoidable illness. >>Learn more  

Millennials are coming of age and experiencing big life moments — college graduation, their first job, getting married and moving out. But what about buying ahome? Here are some things we know: Millennials are 75 million strong 75% say homeownership is a long-term goal Millennials are now the largest living generation. Are you equipped with the right strategies and tools to serve their lending needs? >>Webinar: Are Millenials Mortgage-Ready?

As we approach the one-year anniversary of the EMV liability shift, we have seen an increase in e-commerce fraud — to the tune of 15% higher than last year. Additional insights from Experian’s biannual analysis on e-commerce fraud include: 44% of e-commerce billing fraud came from Florida, California and New York* 52% of e-commerce shipping fraud came from Florida, New York and California* Miami, Fla., is the most dangerous city in the United States for e-commerce merchants* As fraudsters continue to perpetrate card-not-present fraud, ensure you are prepared. You’ll be thankful if fraudsters come calling. >> E-commerce Attack Rates

Leasing continued its strong growth as the share of new vehicles leased jumped from 26.9% in Q2 2015 to a record high of 31.4% in Q2 2016.  As vehicle prices continue to rise, used vehicle loans also set new records. The average used vehicle loan reached an all-time high of $19,101 in Q2 2016, up from $18,671 in Q2 2015. Used vehicle loans accounted for 55.6% of all vehicle loans in Q2 2016. Want to capitalize on this growth? Analytics can help you target borrowers who are creditworthy and in the market for an auto loan or lease. >>Video: Auto Acquisition Strategies

Experian analyzed millions of e-commerce transactions from the first six months of 2016 to identify the latest fraud attack rates across the United States for both shipping and billing locations. As we approach the one-year anniversary of the EMV liability shift, the 2016 e-commerce fraud attack rates look to be at least 15 percent higher than last year’s total. Experian analyzed millions of e-commerce transactions from the first six months of 2016 to identify the latest fraud attack rates across the United States for both shipping and billing locations. Billing fraud rates are associated with the address of the purchaser. Shipping fraud rates are associated with the address where purchased goods are sent. As we approach the one-year anniversary of the EMV liability shift, the 2016 e-commerce fraud attack rates look to be at least 15 percent higher than last year’s total. E-commerce fraud is often an indicator that other fraud activities have already happened, whether a credit card has been stolen, identity fraud has occurred, or personal credentials have been compromised.

Historically, the introduction of EMV chip technology has resulted in a significant drop in card-present fraud, but a spike in card-not-present (CNP) fraud. CNP fraud accounts for 60% to 70% of all card fraud in many countries and is increasing. Merchants and card issuers in the United States likely will see a rise in CNP fraud as EMV migration occurs — although it may be more gradual as issuers and merchants upgrade to chip-based cards. As fraud continues to evolve, so too should your fraud-prevention strategies. Make a commitment to stay abreast of the latest fraud trends and implement sophisticated, cross-channel fraud-prevention strategies. >>Protecting Growth Ambitions Against Rising Fraud Threats

Prescriptive solutions: Get the Rx for your right course of action By now, everyone is familiar with the phrase “big data” and what it means. As more and more data is generated, businesses need solutions to help analyze data, determine what it means and then assist in decisioning. In the past, solutions were limited to simply describing data by creating attributes for use in decisioning. Building on that, predictive analytics experts developed models to predict behavior, whether that was a risk model for repayment, a propensity model for opening a new account or a model for other purposes. The next evolution is prescriptive solutions, which go beyond describing or predicting behaviors. Prescriptive solutions can synthesize big data, analytics, business rules and strategies into an environment that provides businesses with an optimized workflow of suggested options to reach a final decision. Be prepared — developing prescriptive solutions is not simple. In order to fully harness the value of a prescriptive solution, you must include a series of minimum capabilities: Flexibility — The solution must provide users the ability to make quick changes to strategies to adjust to market forces, allowing an organization to pivot at will to grow the business. A system that lacks agility (for instance, one that relies heavily on IT resources) will not be able to realize the full value, as its recommendations will fall behind current market needs. Expertise — Deep knowledge and a detailed understanding of complex business objectives are necessary to link overall business goals to tactical strategies and decisions made about customers. Analytics — Both descriptive and predictive analytics will play a role here. For instance, the use of a layered score approach in decisioning — what we call dimensional decisioning — can provide significant insight into a target market or customer segment. Data — It is assumed that most businesses have more data than they know what to do with. While largely true, many organizations do not have the ability to access and manage that data for use in decision-making. Data quality is only important if you can actually make full use of it. Let’s elaborate on this last point. Although not intuitive, the data you use in the decision-making process should be the limiting factor for your decisions. By that, I mean that if you get the systems, analytics and strategy components of the equation right, your limitation in making decisions should be data-driven, and not a result of another part of the decision process. If your prescriptive environment is limited by gaps in flexibility, expertise or analytic capabilities, you are not going to be able to extract maximum value from your data. With greater ability to leverage your data — what I call “prescriptive capacity” — you will have the ability to take full advantage of the data you do have. Taking big data from its source through to the execution of a decision is where prescriptive solutions are most valuable. Ultimately, for a business to lead the market and gain a competitive advantage over its competitors — those that have not been able to translate data into meaningful decisions for their business — it takes a combination of the right capabilities and a deep understanding of how to optimize the ecosystem of big data, analytics, business rules and strategies to achieve success.

Experian conducted a joint-survey that uncovered insights into the topic of conversational commerce and voice assistants. The survey audience constituted nearly 1300 smartphone users of smart voice assistant tools. The survey asked about most requested tasks and general consumer satisfaction with the voice-recognition capabilities of Amazon's Alexa relative to other smart voice assistants such as Siri and Google.

This summer, the Consumer Financial Protection Bureau (CFPB) took a significant step toward reforming the regulatory framework for the debt collection industry. The focus is fueled in part by the large number of consumer complaints the CFPB receives about the debt collection market — roughly 35% of total complaints. Here are highlights from the recent CFPB proposal: Data quality: Collectors would be required to substantiate claims that a consumer owes a debt in order to begin collection Communication frequency: Collectors would be limited to six emails, phone calls or mailings per week, including unanswered calls and voice mails Waiting period: Reporting a person’s debt would be prohibited unless the collector has communicated directly with the consumer first  The CFPB said its proposal will affect only third-party debt collectors; however, it may consider a separate set of proposals for first-party collectors. >> Insights into CFPB's latest debt collection proposal  

The first six months of 2016 has shown that the total credit card limits among the subprime and deep subprime credit range totaled $6.4 billion, the highest amount reported for those groups in the last five years. Our Q2 2016 Experian-Oliver Wyman Market Intelligence Report webinar will analyze the trends impacting consumer credit decisions in the current economy. The data is from the latest Experian Market Intelligence Brief report.

Fraudsters are more sophisticated than ever. Just when you think you’ve filled the gaps, a new fraud threat emerges. Here are five strategic recommendations from Juniper Research for businesses that accept online payments: Invest in top-of-the-range fraud detection and prevention solutions Implement mobile security as soon as possible Develop a fraud prevention investment strategy Empower cross-industry collaboration to reduce online fraud effectively Fraud continues to evolve from individual rogues to organized global networks. Is your fraud prevention strategy keeping up? >>Juniper Research: Online payment fraud whitepaper

Did you know that identities can shift (for better or worse) in just 30 days? To succeed in today’s multichannel, mobile environment, businesses must have a broader, more dynamic identity management strategy that includes: Identity proofing: Point-in-time verification (e.g., account opening) Authentication: Ongoing verification (e.g., account login) Identity management: Continual monitoring throughout the Customer Life Cycle Minimize your identity fraud risk, increase customer engagement and provide a satisfying customer experience by shifting to a strategy focused on identity relationship management. >>The three pillars of identity relationship management  

Consumer card balance transfer activity is estimated to be $35 billion to $40 billion a year. How do lenders identify these consumers before they make transfers? By using trended data.  While extremely valuable, trended data is very complex and difficult to work with. For example, with 24 months of history on five fields, a single account includes 120 data points. That’s 720 data points for a consumer with six accounts on file and 72 million for a file with 100,000 consumers — not to mention the other data fields in the file. Trended data allows lenders to effectively predict where a consumer is going based on where they’ve been. And that can make all the difference when it comes to smart lending decisions. >>What is trended data?

Experian has been selected as one of the leading players in the fraud detection and prevention space in Juniper Research’s Online Payment Fraud strategies report.