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Experian on the State of Identity podcast In today’s environment, any conversation on the identity management industry needs to include some mention of synthetic identity risk. The fact is, it’s top of mind for almost everyone. Institutions are trying to scope their risk level and identify losses, while service providers are innovating ways to solve the problem. Even consumers are starting to understand the term, albeit via a local newscast designed to scare the heck out of them. With all this in mind, I was very happy to be invited to speak with Cameron D’Ambrosi at One World Identity (OWI) on the State of Identity podcast, focusing on synthetic identity fraud. Our discussion focused on some of the unique findings and recommended best practices highlighted in our recently published white paper on the subject, Synthetic identities: getting real with customers. Additionally, we discussed how a lack of agreement on the definition and size of the synthetic identity problem further complicates the issue. This all stems from inconsistent loss reporting, a lack of confirmable victims and an absence of an exact definition of a synthetic identity to begin with. Discussions must continue to better align us all. I certainly appreciate that OWI dedicated the podcast to this subject. And I hope listeners take away a few helpful points that can assist them in their organization’s efforts to better identify synthetic identities, reduce financial losses and minimize reputation risks.

The credit card marketplace is a crowded and complex landscape. Recent research by Experian shows the average U.S. consumer has 3.1 credit cards and 2.5 retail cards, with an average balance of $6,354 and $1,841, respectively. So how can you build upon your existing customer relationships and offer the right products to the right people at the right time? By understanding consumer behavior. Pretty simple concept. But targeting viable consumers and making enticing offers takes some detective work. Gone are the days of demographic-based approach to audience segmentation for credit marketing campaigns. Consumers are now engaged on their smartphones, laptops, tablets, fitness bands, across countless apps, browsers, emails and more. Simply knowing a person’s gender and age doesn’t provide any information about how he spends the day, his consumer behaviors, personal interests, unique wants or needs. Developing rich consumer personas based on transaction credit data can be a powerful tool to understanding consumers so lenders can design more relevant and personalized credit offers, experiences and products to a very targeted audience. Experian DataLabs can help by analyzing transaction data to understand the consumers in your portfolio. For example, looking at your portfolio of 40-year-olds in the U.S. provides basic demographic information. A closer look at transaction data could reveal unique details within the age group to help you group and target, such as: Frequent travelers: These road warriors log serious miles. If they’re not traveling for work, they’re cashing in miles for vacation. This unique group leads your portfolio in airfare, cruise line, car rental, hotel and travel agency spend. With so much time spent away from home, this group is rarely found in grocery stores. Local business owners: Advertising, computer equipment, and software are typical expenses of this segmented group. There may be an opportunity to capture spend outside their business activity or to ensure they have the right card to fit their business needs. Constant commuters: These consumers use their card for local travel and transportation. And they are less likely to use their card for expenses related to other types of travel or maintaining a vehicle. After a long day, they like to grab a drink while waiting for the train. Online Shoppers: Consumers in this group use their card with various online merchants, including Amazon, Etsy, iTunes, and PayPal. Online shoppers are also above average spenders in elementary education, child care services, and family clothing. Social hipsters: They can be found meeting with friends for coffee and drinks, and are more likely to rely on local transportation and tend to eat out instead of cooking in. Effective audience segmentation ensures that your marketing dollars are invested in real people who are most likely to respond on certain media, have already expressed an interest in your product, and are geographically accessible to a specific retail location. Every campaign should be as dynamic and unique as its consumers. The powerful combination of consumer and transaction data allows you to customize audience segments to maximize customer engagement and drive campaign success.

Sophisticated criminals work hard to create convincing, verifiable personas they can use to commit fraud. Here are the 3 main ways fraudsters manufacture synthetic IDs: Credit applications and inquiries that build a synthetic credit profile over time. Exploitation of authorized user processes to take over or piggyback on legitimate profiles. Data furnishing schemes to falsify regular credit reporting agency updates. Fraudsters are highly motivated to innovate their approaches rapidly. You need to implement a solution that addresses the continuing rise of synthetic IDs from multiple engagement points. Learn more
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