Customer Targeting & Segmentation

For a credit prescreen marketing campaign to be successful, financial institutions must first define their target audience. But just because you’ve identified your ideal customers, it doesn’t mean that every individual within that group has the same needs, interests or behaviors. As such, you’ll need to use data-driven customer segmentation to create messages and offers that truly resonate. Customer segmentation example Customer segmentation is the practice of dividing your target audience into smaller sub-groups based on shared characteristics, behaviors or preferences. This allows you to develop highly targeted marketing campaigns and engage with individual groups in more relevant and meaningful ways. What role does data play in customer segmentation? When it comes to segmenting customers, there isn’t a one-size-fits-all approach that works perfectly for all campaigns and markets. However, regardless of the campaign, you’ll need accurate and relevant data to inform your segmenting strategy. Let’s walk through a customer segmentation example. Say you want to launch a credit marketing campaign that targets creditworthy consumers in the market for a new mortgage. Some of the most influential data points to consider when segmenting include: Demographics Demographic data allows you to get to know your customers as individuals in terms of age, gender, education, occupation and marital status. If you want to create a segment that consists of only middle-aged consumers, leveraging demographic data makes it easier to identify these individuals, refine your messaging and predict their future buying behaviors. Life stage Life event data, such as new parents and new homeowners, helps you connect with consumers who have experienced a major life event. Because you’re targeting consumers in the market for a new mortgage, using fresh and accurate life stage data can help you create an engaging, event-based marketing campaign relevant to their timeline. Financial Financial data segments go beyond income and estimate the way consumers spend their money. With deeper insights into customers’ financial behaviors, you can more accurately assess creditworthiness and make smarter lending decisions. Transactional Transactional data segments group your customers according to their unique buying habits. By getting to know why they purchase your products or their frequency of spend, you can gain a better understanding of who your most engaged customers are, segment further and find opportunities for cross-sell and upsell. Why is data-driven customer segmentation critical for your business? With data-driven customer segmentation, you can develop relevant marketing campaigns and messages that speak to specific audiences, enabling you to demonstrate your value propositions more clearly and deliver personalized customer experiences. Additionally, because customer segmentation enables you to tailor your marketing efforts to those most likely to respond, you can achieve higher conversions while cutting down on marketing spend and resources. Ready to get started? While data-driven customer segmentation may seem overwhelming, Experian can help fill your marketing gaps with custom-based data, audiences and solutions. Armed with a better understanding of your consumers’ patterns and journeys, you can start targeting them more effectively. Create highly targeted credit marketing campaigns

From chatbots to image generators, artificial intelligence (AI) has captured consumers' attention and spurred joy — and sometimes a little fear. It's not too different in the business world. There are amazing opportunities and lenders are increasingly turning to AI-driven lending decision engines and processes. But there are also open questions about how AI can work within existing regulatory requirements, how new regulations will impact its use and how to implement advanced analytics in a way that increases equitable inclusion rather than further embedding disparities. How are lenders using AI today? Many financial institutions have implemented — or at least tested — AI-driven tools throughout the customer lifecycle to: Target the right consumers: With tools like Ascend Intelligence ServicesTM Target (AIS Target), lenders can better identify consumers who match their credit criteria and send right-sized offers, which enables them to maximize their acceptance rates. Detect and prevent fraud: Fraud detection tools have used AI and machine learning techniques to detect and prevent fraud for years. These systems may be even more important as new fraud risks emerge, from tried-and-true methods to generative AI (GenAI) fraud. Assess creditworthiness: ML-based models can incorporate a range of internal and external data points to more precisely evaluate creditworthiness. When combined with traditional and alternative credit data*, some lenders can even see a Gini uplift of 60 to 70 percent compared to a traditional credit risk model. Manage portfolios: Lenders can also use a more complete picture of their current customers to make better decisions. For example, AI-driven models can help lenders set initial credit limits and suggest when a change could help them increase wallet share or reduce risk. Lenders can also use AI to help determine which up- and cross-selling offers to present and when (and how) to reach out. Improve collections: Models can be built to ease debt collection processes, such as choosing where to assign accounts, which accounts to prioritize and how to contact the consumer. Additionally, businesses can implement AI-powered tools to increase their organizations' productivity and agility. GenAI solutions like Experian Assistant accelerate the modeling lifecycle by providing immediate responses to questions, enhancing model transparency and parsing through multiple model iterations quickly, resulting in streamlined workflows, improved data visibility and reduced expenses. WATCH: Explore best practices for building, fine-tuning and deploying robust machine learning models for credit risk. The benefits of AI in lending Although lenders can use machine learning models in many ways, the primary drivers for adoption in underwriting include: Improving credit risk assessment Faster development and deployment cycles for new or recalibrated models Unlocking the possibilities within large datasets Keeping up with competing lenders Some of the use cases for machine learning solutions have a direct impact on the bottom line — improving credit risk assessment can decrease charge-offs. Others are less direct but still meaningful. For instance, machine learning models might increase efficiency and allow further automation. This takes the pressure off your underwriting team, even when application volume is extremely high, and results in faster decisions for applicants, which can improve your customer experience. Incorporating large data sets into their decisions also allows lenders to expand their lending universe without taking on additional risk. For example, they may now be able to offer risk-appropriate credit lines to consumers that traditional scoring models can't score. And machine learning solutions can increase customer lifetime value when they're incorporated throughout the customer lifecycle by stopping fraud, improving retention, increasing up- or cross-selling and streamlining collections. Hurdles to adoption of machine learning in lending There are clear benefits and interest in machine learning and analytics, but adoption can be difficult, especially within credit underwriting. A recent Forrester Consulting study commissioned by Experian found that the top pain points for technology decision makers in financial services were reported to be automation and availability of data. Explainability comes down to transparency and trust. Financial institutions have to trust that machine learning models will continue to outperform traditional models to make them a worthwhile investment. The models also have to be transparent and explainable for financial institutions to meet regulatory fair lending requirements. A lack of resources and expertise could hinder model development and deployment. It can take a long time to build and deploy a custom model, and there's a lot of overhead to cover during the process. Large lenders might have in-house credit modeling teams that can take on the workload, but they also face barriers when integrating new models into legacy systems. Small- and mid-sized institutions may be more nimble, but they rarely have the in-house expertise to build or deploy models on their own. The models also have to be trained on appropriate data sets. Similar to model building and deployment, organizations might not have the human or financial resources to clean and organize internal data. And although vendors offer access to a lot of external data, sometimes sorting through and using the data requires a large commitment. How Experian is shaping the future of AI in lending Lenders are finding new ways to use AI throughout the customer lifecycle and with varying types of financial products. However, while the cost to create custom machine learning models is dropping, the complexities and unknowns are still too great for some lenders to manage. But that's changing. Experian built the Ascend Intelligence Services™ to help smaller and mid-market lenders access the most advanced analytics tools. The managed service platform can significantly reduce the cost and deployment time for lenders who want to incorporate AI-driven strategies and machine learning models into their lending process. The end-to-end managed analytics service gives lenders access to Experian's vast data sets and can incorporate internal data to build and seamlessly deploy custom machine learning models. The platform can also continually monitor and retrain models to increase lift, and there's no “black box" to obscure how the model works. Everything is fully explainable, and the platform bakes regulatory constraints into the data curation and model development to ensure lenders stay compliant. Learn more * When we refer to “Alternative Credit Data," this refers to the use of alternative data and its appropriate use in consumer credit lending decisions as regulated by the Fair Credit Reporting Act (FCRA). Hence, the term “Expanded FCRA Data" may also apply in this instance and both can be used interchangeably.

Strategic automotive marketing and measurement are getting more complicated with the increase in consumer channels and devices. This makes it harder for marketers to obtain a complete measurement picture. Measurement terminology is also evolving. Here's a look at some of today’s key definitions to familiarize you with the nuances and challenges it may already bring to your analytics. What is the open web? The open web is the web as a whole or the public side of the web with all the millions of sites that do not require a subscription or fee to use them. For example, in our industry, this would be an auto manufacturer’s website, a dealership’s website, or an online consumer shopping portal where you list your vehicles for sale – all of these are on the open web. These sites use open-source standards to deliver content to consumers without a separate app or company acting as gatekeepers. However, tracking approaches on the open web will shift as cookies will eventually disappear. What is a walled garden? A walled garden is a closed platform or ecosystem (e.g., Amazon, Apple, Facebook) wherein the platform provider controls the content, applications, and/or media and restricts access as it sees fit. The publisher offers consumer privacy and rich first-party data to advertisers, but the measurement is limited to activity within the ‘walls’ of the garden.  From an advertising perspective, buyers can only access these platforms through their own buying tools; they do not give access to any independent platforms. The publisher (the Walled Garden) handles all the buying, serving, tracking, and reporting within their ecosystem.  So, let’s say you are an automotive consumer checking out vehicles. If you’re reading your Facebook feed on your phone and you see an advertisement for a vehicle or a dealership, that OEM or dealership is advertising in a walled garden – in this case, the walled garden is Facebook. The challenge to an advertiser is that they can only measure activity that occurred within that ecosystem using the walled garden’s platform and measurement tools. What is a hedged garden? The “hedged garden” is a new industry concept. A hedged garden is when a network of publishers work together to activate first-party data sets in a privacy-compliant way across many partners at scale. These publishers run their businesses with large amounts of first-party consumer data. They often do not own or operate complete buying stacks. For example, companies like Target and Walmart let advertisers employ their data on shoppers for ad targeting, but brands can use their own buying tools. Other examples of a hedged garden might include Connected TV platforms such as Vizio’s or Samsung’s in-house ad businesses. If you’re sitting on your couch watching your Vizio-connected TV and you see an advertisement for a dealership or a manufacturer, they are advertised within that hedged garden.  As an advertiser, the advantage is that you can use their buying tool when targeting shoppers for your advertising. How to fill in the gaps the walled garden may leave open The walled garden can challenge marketers who desire cross-channel activation and measurement. If you're a marketer working within a walled garden, we can work with the data you have to give you a complete picture of your audience’s digital journey. Our experience and vast databases, including vehicle, credit, and customer insights, allow us to continue building strong partnerships within the fast-growing (Hedged Garden) ecosystem. We can help. Our Subject Matter Expert, Laurel Malhotra will be happy to answer any questions you may have. Contact her today.

With an abundance of loan options in today’s market, retaining customers can be challenging for banks and credit unions, especially small or regional institutions. And as more consumers look for personalization and digital tools in their banking experience, the likelihood of switching to institutions that can meet these demands is increasing.1 According to a recent Experian survey, 78% of consumers have conducted personal banking activities online in the last three months. However, 58% of consumers don’t feel that businesses completely meet their expectations for a digital online experience. To remain competitive in today's market, organizations must enhance their prescreen efforts by accelerating their digital transformation. Prescreen in today's economic environment While establishing a strong digital strategy is crucial to meeting the demands of today’s consumers, economic conditions are continuing to change, causing many financial institutions to either tighten their marketing budgets or hold off on their prescreen efforts completely. Fortunately, lenders can still drive growth during a changing economy without having to make huge cuts to their marketing budgets. How? The answer lies in digital prescreen. Case study: Uncover hidden growth opportunities Wanting to grow their business and existing relationships, Clear Mountain Bank looked for a solution that could help them engage customers with money-saving product offers while delivering a best-in-class digital banking experience. Leveraging Digital Prescreen with Micronotes, the bank was able to identify and present dollarized savings to customers who held higher-priced loans with other lenders. What’s more, the bank extended these offers through personalized conversations within their online and mobile banking platforms, resulting in improved digital engagement and increased customer satisfaction. By delivering competitive prescreen offers digitally, Clear Mountain Bank generated more than $1 million in incremental loans and provided customers with an average of $1,615 in cost savings within the first two months of deployment. “Digital Prescreen with Micronotes supplied the infrastructure to create higher-quality, personalized offers, as well as the delivery and reporting. They made prescreen marketing a reality for us.” – Robert Flockvich, Director of Community Outreach and Retail Lending at Clear Mountain Bank To learn more about how you can grow your portfolio and customer relationships, read the full case study or visit us. Download the case study Visit us 1The Keys to Solving Banking’s Customer Loyalty & Retention Problems, The Financial Brand, 2022.

Financial institutions have gone through a whirlwind in the last few years, with the pandemic forcing many to undergo digital transformations. More recently, rising interest rates and economic uncertainty are leading to a pullback, highlighting the need for lenders to level up their marketing strategies to win new customers. To get started, here are a few key trends to look out for in the new year and fresh marketing ideas for lenders. Challenges and consumers expectations in 2023 It might be cliche to mention the impact that the pandemic had on digital transformations — but that doesn't make it any less true. Consumers now expect a straightforward online experience. And while they may be willing to endure a slightly more manual process for certain purchases in their life, that's not always necessary. Lenders are investing in front-end platforms and behind-the-scenes technology to offer borrowers faster and more intuitive services. For example, A McKinsey report from December 2021 highlighted the growth in nonbank mortgage lenders. It suggested nonbank lenders could hold onto and may continue taking market share as these tech-focused lenders create convenient, fast and transparent processes for borrowers.2 Marketers can take these new expectations to heart when discussing their products and services. To the extent you have one in place, highlight the digital experience that you can offer borrowers throughout the application, verifications, closing and loan servicing. You can also try to show rather than tell with interactive online content and videos. Build a data-driven mortgage lending marketing strategy The McKinsey report also highlighted a trend in major bank and nonbank lenders investing in proprietary and third-party technology and data to improve the customer experience.2 Marketers can similarly turn to a data-driven credit marketing strategy to help navigate shifting lending environments. Segment prospects with multidimensional data Successful marketers can incorporate the latest technological and multidimensional data sources to find, track and reach high-value prospects. By combining traditional credit data with marketing data and Fair Credit Report Act-compliant alternative credit data* (or expanded FCRA-regulated data), you can increase the likelihood of connecting with consumers who meet your credit criteria and will likely respond. For example, Experian's mortgage-specific In the Market Models predict a consumer's propensity to open a new mortgage within a one to four-month period based on various inputs, including trended credit data and Premier Attributes. You can use these propensity models as part of your prescreen criteria, to cross-sell current customers and to help retain customers who might be considering a new lender. But propensity models are only part of the equation, especially when you're trying to extend your marketing budget with hyper-segmented campaigns. Incorporating your internal CRM data and non-FCRA data can help you further distinguish look-alike populations and help you customize your messaging. LEARN MORE: Use this checklist to find and fix gaps in your prospecting strategy Maintain a single view of your borrowers An identity management platform can give you a single view of a consumer as they move through the customer journey. The persistent identity can also help you consistently reach consumers in a post-cookie world and contact them using their preferred channel. You can add to the persistent identity as you learn more about your prospects. However, you need to maintain data accuracy and integrity if you want to get a good ROI. Use triggers to guide your outreach You can also use data-backed credit triggers to implement your marketing plan. Experian's Prospect Triggers actively monitors a nationwide database to identify credit-active consumers who have new tradelines, inquiries or a loan nearing term. Lenders using Prospect Triggers can receive real-time or periodic updates and customize the results based on their screening strategy and criteria, such as score ranges and attributes. They can then make firm credit offers to the prospects who are most likely to respond, which can improve cross-selling opportunities along with originations. Benefit from our expertise Forward-thinking lenders should power their marketing strategies with a data-backed approach to incorporate the latest information from internal and external sources and reach the right customer at the right time and place. From list building to identity management and verification, you can turn to Experian to access the latest data and analytics tools. Learn about Experian credit prescreen and marketing solutions. Explore our credit prescreen solutions Learn about our marketing solutions 1Mortgage Bankers Association (October 2022). Mortgage Applications Decrease in Latest MBA Weekly Survey 2McKinsey & Company (2021). Five trends reshaping the US home mortgage industry

Today’s changing economy is directly impacting consumers’ financial behaviors, with some individuals doing well and some showing signs of payment stress. And while these trends may pose challenges to financial institutions, such as how to expand their customer base without taking on additional risk, the right credit attributes can help them drive smarter and more profitable lending decisions. With Experian’s industry-leading credit attributes, organizations can develop precise and explainable acquisition models and strategies. As a result, they can: Expand into new segments: By gaining deeper insights into consumer trends and behaviors, organizations can better assess an individual’s creditworthiness and approve populations who might have been overlooked due to limited or no credit history. Improve the customer experience: Having a wider view of consumer credit behavior and patterns allows organizations to apply the best treatment at the right time based on each consumer’s specific needs. Save time and resources: With an ongoing managed set of base attributes, organizations don’t have to invest significant resources to develop the attributes themselves. Additionally, existing attributes are regularly updated and new attributes are added to keep pace with industry and regulatory changes. Case study: Enhance decision-making and segmentation strategies A large retail credit card issuer was looking to grow their portfolio by identifying and engaging more consumers who met their credit criteria. To do this, they needed to replace their existing custom acquisition model with one that provided a granular view of consumer behavior. By partnering with Experian, the company was able to implement an advanced custom acquisition model powered by our proprietary Trended 3DTM and Premier AttributesSM. Trended 3D analyzes consumers’ behavior patterns over time, while Premier Attributes aggregates and summarizes findings from credit report data, enabling the company to make faster and more strategic lending decisions. Validations of the new model showed up to 10 percent improvement in performance across all segments, helping the company design more effective segmentation strategies, lower their risk exposure and approve more accounts. To learn how Experian can help your organization make the best data-driven decisions, read the full case study or visit us. Download case study Visit us

With consumers having more credit options than ever before, it’s imperative for lenders to get their message in front of ideal customers at the right time and place. But without clear insights into their interests, credit behaviors or financial capacity, you may risk extending preapproved credit offers to individuals who are unqualified or have already committed to another lender. To increase response rates and reduce wasted marketing spend, you must develop an effective customer targeting strategy. What makes an effective customer targeting strategy? A customer targeting strategy is only as good as the data that informs it. To create a strategy that’s truly effective, you’ll need data that’s relevant, regularly updated, and comprehensive. Alternative data and credit-based attributes allow you to identify financially stressed consumers by providing insight into their ability to pay, whether their debt or spending has increased, and their propensity to transfer balances and consolidate loans. With a more granular view of consumers’ credit behaviors over time, you can avoid high-risk accounts and focus only on targeting individuals that meet your credit criteria. While leveraging additional data sources can help you better identify creditworthy consumers, how can you improve the chances of them converting? At the end of the day, it’s also the consumer that’s making the decision to engage, and if you aren’t sending the right offer at the precise moment of interest, you may lose high-value prospects to competitors who will. To effectively target consumers who are most likely to respond to your credit offers, you must take a customer-centric approach by learning about where they’ve been, what their goals are, and how to best cater to their needs and interests. Some types of data that can help make your targeting strategy more customer-centric include: Demographic data like age, gender, occupation and marital status, give you an idea of who your customers are as individuals, allowing you to enhance your segmentation strategies. Lifestyle and interest data allow you to create more personalized credit offers by providing insight into your consumers’ hobbies and pastimes. Life event data, such as new homeowners or new parents, helps you connect with consumers who have experienced a major life event and may be receptive to event-based marketing campaigns during these milestones. Channel preference data enables you to reach consumers with the right message at the right time on their preferred channel. Target high-potential, high-value prospects By using an effective customer targeting strategy, you can identify and engage creditworthy consumers with the greatest propensity to accept your credit offer. To see if your current strategy has what it takes and what Experian can do to help, view this interactive checklist or visit us today. Review your customer targeting strategy Visit us

Whether your goal is to gain new business or create cross-sell opportunities, being proactive in your credit marketing approach can help drive higher response rates and more meaningful customer experiences. But without knowing when your ideal customers are actively seeking credit, you may risk losing business to lenders who have already engaged. So, how can you identify new opportunities when they occur? Given that 91% of consumers say they’re more likely to shop with brands that provide relevant offers, you’ll need to reach the right consumers at the right moment to increase response rates and stay ahead of competitors. Event-based credit triggers can help you identify new tradelines, inquiries and certain loans nearing term to locate highly responsive, credit-active individuals. By receiving updates on consumers’ recent credit activities, you can make firm credit offers immediately so you never miss an opportunity. Case Study: Deliver timely offers with credit trigger leads Vantage West Credit Union serves over 170,000 members across Arizona. With their members looking elsewhere for their mortgage needs, Vantage West aimed to drive as many of these members back to the credit union as possible. To do this, they looked for a solution that could help them identify and target members who are in the market for a new mortgage. By augmenting their prescreen process with Experian’s Prospect Triggers for mortgages, the credit union was able to quickly pinpoint consumers that not only met their credit criteria but were also likely to respond to their credit offers. Within two years of implementing Prospect Triggers, Vantage West funded an additional $18 million in mortgages and is continuing to grow by making timely offers to credit-active prospects. Prospect Triggers is available for banks, credit card issuers, mortgage lenders, retailers and automotive lenders. To learn how Experian can help bring precision and profitability to your credit marketing campaigns, read the full case study or visit us. Download the case study Visit us

Did you know that GenX had the most Hybrid owners migrate to Electric Vehicles in 2021? And believe it or not, the next group behind GenXers were Boomers! That’s right, not millennials or GenZ…Boomers! We have many more details to share on the Electric Vehicle segment and the consumers in that segment who buy them in our newly released Experian Automotive Consumer Trend Report: Q2 2022. Every quarter, Experian’s Automotive Consumer Trends Report provides insights into specific vehicle segments and the associated consumers within that segment. This quarter focuses on the Electric Vehicle (EV) market. The report answers these questions: How many EVs are on the road? Where are they located? How have recent EV registrations shifted the geographic distribution? Which manufacturers are selling those vehicles? Who is taking market share from whom? Who are the consumers who registered those vehicles? What are the demographic and psychographic insights for those consumers? There are two ways to receive the report information: Watch the on-demand presentation of the report while our analyst provides critical insight & analysis OR Download a PDF version of the report At Experian Automotive, we understand that marketers need to deeply understand consumers to develop targeted, effective marketing strategies. Whether you are an OEM marketer, an agency, or an auto dealer, our presentation will transform complex market data into actionable insights that you can begin using immediately.

Rapid improvements in technology and the rise in online activity are driving higher consumer expectations for fast and frictionless digital experiences. And yet, only 50% of credit unions are executing on a digital strategy compared to 79% of banks.1 What can credit unions do to stand out from the competition and keep up with increasing consumer demands? 23% of consumers say their expectations for the digital experience have only somewhat or not at all been met.2 The answer lies in digital prequalification. With a frictionless digital prequalification solution, members can prequalify themselves online in real time before starting the formal application process. This puts members in the driver’s seat, allowing them to see their eligibility for credit offers and choose whether they’d like to proceed with the application. By delivering immediate feedback and offers to members online, credit unions can increase response rates, improve digital engagement and enhance the prequalification experience. Case Study: Achieving growth through a seamless digital prequalification experience Gather Federal Credit Union is the largest neighbor-island credit union in Hawaii, providing financial products and services to more than 35,000 members. Wanting to grow more loans while providing members with a seamless and efficient online experience, the credit union looked for a comprehensive solution that could improve their decisioning and enhance their prequalification strategy. They partnered with Experian and Rate Reset to implement a frictionless digital experience that enables members to opt-in for prequalified offers. Leveraging the power of Experian’s PowerCurve® and Rate Reset’s The ButtonTM, Gather had flexible access to consumer data, attributes and scores, allowing them to verify user identities and match members with loan products before their application formally went through the credit underwriting process. By gaining a better understanding of which credit options they prequalified for, members were able to opt-in instantly, creating a faster, more personalized digital prequalification experience. Within three weeks of implementation, Gather booked over $600,000 in new personal loans and credit cards. Additionally, of all the applicants that passed the credit union’s credit prequalification criteria, 54% accepted their offer and received a loan. “With a few clicks, members and non-members alike can instantly prequalify themselves for a loan. We’re extremely pleased with this offering, which has enabled us to extend our reach and grow the Gather community,” said Justin Ganaden, Executive Vice President, Gather Federal Credit Union. Read the full case study to learn more about how Experian can help grow your business with a frictionless digital prequalification experience. Download the full case study 1 https://www.big-fintech.com/Media/BIG-News/ArticleID/779/New-Digital-Banking-Platform Digital Transformation Revolution – Is it Leaving Credit Unions Behind? 2 2022 Global Insights Report, Experian, 2022.

From desktops and laptops to smartphones and tablets, consumers leverage multiple devices when engaging with businesses. For financial institutions, it’s important to identify and track consumers across devices to deliver personalized offers and increase opportunities for conversion. The problem with cookies Marketers have traditionally used cookies to determine what their audience’s interests are based on their browsing activity and past purchases. An example of this is when a user browses a product on a website and then leaves without buying. Later that day, they see an ad on social media featuring the same product they viewed earlier. While this may seem like an effective way for financial institutions to target or prescreen consumers, cookies are very limited — they can’t capture or connect a user’s behavior across multiple touchpoints. In other words, if a consumer were to browse a website on their mobile phone and then switch to their laptop, the business would view these sessions as two different visits from two different people, resulting in inconsistent messaging and a disjointed user experience. This is a huge problem because devices don’t decide to convert — people do. To reach the right consumers with the right message wherever they may be, financial institutions must look beyond cookies. This is where people-based marketing comes in. What is people-based marketing? People-based marketing takes a more personal marketing approach. Rather than targeting devices, people-based marketing connects businesses with real people, helping them understand who their customers are, what they’re looking for and how to engage them in more meaningful ways. It does this by gathering customer data from both online and offline sources to create a single customer profile. Let’s look at an example of people-based marketing by revisiting the scenario above. A user is browsing a company’s website on their mobile phone and decides to switch to their laptop. By capturing a single view of the user with a people-based marketing solution, the brand can recognize them and resume their experience on the new device. What’s more, the brand understands the user’s intent at that stage of their customer journey and leverages real-time data to make relevant offers and recommendations, helping further personalize their experience. Benefits of a people-based marketing approach To create better-targeted credit marketing campaigns, financial institutions must ensure they have the right data and technologies in place. Experian’s industry-leading database technology provides the freshest, most comprehensive consumer credit data to help organizations optimize their lending criteria and marketing campaigns. With Experian’s people-based marketing solutions, financial institutions can: Reach the right people: Leveraging fresh consumer data allows financial institutions to target the best prospects for their business needs and avoid making preapproved offers to nonqualified consumers. Deliver personalized credit offers: By gaining a more complete view of consumers, financial institutions can ensure they’re sending relevant offers to users where and when they’re most motivated to respond. Enhance their retargeting efforts: If a user isn’t ready to convert upon their first interaction, organizations can reach them on another device to reinforce their messaging in more personalized ways. Provide frictionless, omnichannel experiences: Seamless identity resolution allows organizations to accurately recognize consumers across devices, leading to more precise targeting and cohesive customer experiences. Reduce marketing spend: By focusing on the right audience with the right message, organizations can avoid unlikely prospects and reduce wasted marketing spend, all while increasing response rates. Expand their reach: With rich insights into their clients’ interests, demographics and behaviors, financial institutions can target prospects who share similar characteristics and are likely to convert. Leveraging an effective people-based marketing strategy is crucial to delivering personalized and consistent customer experiences in today’s multi-device world. To learn more about how Experian can help, visit us today. Learn about our people-based marketing solutions

To drive profitable growth and customer retention in today’s highly competitive landscape, businesses must create long-term value for consumers, starting with their initial engagement. A successful onboarding experience would encourage 46% of consumers1 to increase their investments in a product or service. While many organizations have embraced digital transformation to meet evolving consumer demands, a truly exceptional onboarding experience requires a flexible, data-driven solution that ensures each step of customer acquisition in financial services is as quick, seamless, and cohesive as possible. Otherwise, financial institutions may risk losing potential customers to competitors that can offer a better experience. Here are some of the benefits of implementing a flexible, data-driven decisioning platform: Greater efficiency From processing a consumer’s application to verifying their identity, lenders have historically completed these tasks manually, which can add days, if not weeks, to the onboarding process. Not only does this negatively impact the customer experience, but it also takes resources away from other meaningful work. An agile decisioning platform can automate these tedious tasks and accelerate the customer onboarding process, leading to increased efficiency, improved productivity, and lower acquisition costs2. Reduced fraud and risk Onboarding customers quickly is just as important as ensuring fraudsters are stopped early in the process, especially with the rise of cybercrime. However, only 23% of consumers are very confident that companies are taking steps to secure them online. With a layered digital identity verification solution, financial institutions can validate and verify an applicant’s personal information in real time to identify legitimate customers, mitigate fraud, and pursue growth confidently. Increased acceptance rates Today’s consumers demand instant responses and easy experiences when engaging with businesses, and their expectations around onboarding are no different. Traditional processes that take longer and require heavy documentation, greater amounts of information, and continuous back and forth between parties often result in significant customer dropout. In fact, 40% of digital banking consumers3 abandon opening an account online due to lengthy applications. With a flexible solution powered by real-time data and cutting-edge technology, financial institutions can reduce this friction and drive credit decisions faster, leading to more approvals, improved profitability, and higher customer satisfaction. Having a proper customer onboarding strategy in place is crucial to achieving higher acceptance and retention rates. To learn about how Experian can help you optimize your customer acquisition strategy, visit us and be sure to check out our latest infographic. View infographic Visit us 1 The Manifest, Customer Onboarding Strategy: A Guide to Retain Customers, April 2021. 2 Deloitte, Inside magazine issue 16, 2017. 3 The Financial Brand, How Banks Can Increase Their New Loan Business 100%, 2021.

“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

These days, the call for financial inclusion is being answered by a disruptive force of new financial products and services. From fintech to storied institutional players, we're seeing a variety of offerings that are increasingly accessible and affordable for consumers. It's a step in the right direction. And beyond the moral imperative, companies that meet the call are finding that financial inclusion can be a source of business growth and a necessity for staying relevant in a competitive marketplace. A diaspora of credit-invisible consumers To start, let's put the problem in context. A 2022 Oliver Wyman report found about 19 percent of the adult population is either credit invisible (has no credit file) or unscoreable (not enough credit information to be scoreable by conventional credit scoring models). But some communities are disproportionately impacted by this reality. Specifically, the report found: Black Americans are 1.8 times more likely to be credit invisible or unscoreable than white Americans. Recent immigrants may have trouble accessing credit in the U.S., even if they're creditworthy in their home country. About 40 percent of credit invisibles are under 25 years old. In low-income neighborhoods, nearly 30 percent of adults are credit invisible and an additional 16 percent are unscoreable. Younger and older Americans alike may shy away from credit products because of negative experiences and distrust of creditors. Similarly, the Federal Deposit Insurance Corporation (FDIC) reports that an estimated 5.4 percent (approximately 7.1 million) households, were unbanked in 2019 — often because they can't meet minimum balance requirements or don't trust banks. Credit invisibles and unscoreables may prefer to deal in a cash economy and turn to alternative credit and banking products, such as payday loans, prepaid cards, and check-cashing services. But these products can perpetuate negative spirals. High fees and interest can create a vicious cycle of spending money to access money, and the products don't help the consumers build credit. In turn, the lack of credit keeps the consumers from utilizing less expensive, mainstream financial products. The emergence of new players Recently, we've seen explosive growth in fintech — technology that aims to improve and automate the delivery and use of financial services. According to market research firm IDC, fintech is expected to achieve a compound annual growth rate (CAGR) of 25 percent through 2022, reaching a market value of $309 billion. It's reaching mass adoption by consumers: Plaid® reports that 88 percent of U.S. consumers use fintech apps or services (up from 58 percent in 2020), and 76 percent of consumers consider the ability to connect bank accounts to apps and services a top priority. Some of these new products and services are aimed at helping consumers get easier and less expensive access to traditional forms of credit. Others are creating alternative options for consumers. Free credit-building tools. Experian Go™ lets credit invisibles quickly and easily establish their credit history. Likewise, consumers can use Experian Boost™ to build their credit with non-traditional payments, including their existing phone, utility and streaming services bills. Alternative credit-building products. Chime® and Varo® , two neobanks, offer credit builder cards that are secured by a bank account that customers can easily add or withdraw money from. Mission Asset Fund, a nonprofit focused on helping immigrants, offers a fee- and interest-free credit builder loan through its lending circle program. Cash-flow underwriting. Credit card issuers and lenders, including Petal and Upstart, are using cash-flow underwriting for their consumer products. Buy now, pay later. Several Buy Now Pay Later (BNPL) providers make it easy for consumers to pay off a purchase over time without a credit check. Behind the scenes, it's easier than ever to access alternative credit data1 — or expanded Fair Credit Reporting Act (FCRA)-regulated data — which includes rental payments, small-dollar loans and consumer-permissioned data. And there are new services that can help turn the raw data into a valuable resource. For example, Lift PremiumTM uses multiple sources of expanded FCRA-regulated data to score 96 percent of American adults — compared to the 81 percent that conventional scoring models can score with traditional credit data. While we dig deeper to help credit invisibles, we're also finding that the insights from previously unreported transactions and behavior can offer a performance lift when applied to near-prime and prime consumers. It truly can be a win-win for consumers and creditors alike. Final word There's still a lot of work to be done to close wealth gaps and create a more inclusive financial system. But it's clear that consumers want to participate in a credit economy and are looking for opportunities to demonstrate their creditworthiness. Businesses that fail to respond to the call for more inclusive tools and practices may find themselves falling behind. Many companies are already using or planning to use alternative data, advanced analytics, machine learning, and AI in their credit-decisioning. Consider how you can similarly use these advancements to help others break out of negative cycles. 1When we refer to “Alternative Credit Data," this refers to the use of alternative data and its appropriate use in consumer credit lending decisions, as regulated by the Fair Credit Reporting Act. Hence, the term “Expanded FCRA Data" may also apply in this instance and both can be used interchangeably.

Today’s OEM marketers, agencies and large dealer groups are under tremendous pressure to connect with consumers across multiple marketing channels. Finding a wide variety of relevant audiences is critical to campaign success. Because May is National Hamburger Month (yep, it’s a real thing), I will compare building the perfect burger to building the ideal automotive audience. Here we go. First, imagine your favorite burger joint (or gourmet burger eatery). You start by opening the menu and likely seeing some of the house “standards.” These are the traditional favorites available “off the menu” with little fuss. Burger with American cheese, Burger with lettuce, onion and tomato. Easy peasy. These types of offerings are similar to what we call our Syndicated audiences. Experian has more than 600 syndicated audiences that are readily available and on the shelf of most trusted platforms. More Choices and Options After that, things get interesting with lots of options to make your burger exactly how you want it. Do you want beef, veggie, portobello mushroom or maybe even bison as your “burger” choice? Cheese? Sure, but what kind? American, cheddar, swiss, blue, pepper jack? And what about toppings? Fried onion strings, raw, cooked? Mushrooms? Jalapenos? Ketchup, mustard, hot sauce, chipotle? Don’t even get me started about your bun choices! You see where I am going with this. With Experian’s Audiences, we have four more levels after our Syndicated Audiences that can help you create the targeted audiences you need based on your specific strategy. From Syndicated to Premium to Custom: Build the Perfect Audience For example, do you need to target in-market customers for a new or used vehicle?  Equity positioning? End of term? Alternate fuels? A specific make and/or model? Do you need to target consumers by a particular price range? We can also build custom audiences based on your first-party data coupled with our data resources to help with vehicle launches, services campaigns and any unique audience need you have. We don’t expect you to understand all of this in a short blog, so we’ve written a complimentary resource, Automotive Audience Choices are Key to Ever-Changing Strategies, explaining each of the five categories of audiences. Download it to learn how to build the perfect burger—I mean audience. By the way, as a Midwestern girl, my favorite burger is a traditional cheeseburger with all the fixins—so bring on the sharp cheddar, lettuce, tomatoes, pickles and fried onions. What’s yours? Feel free to email me about burgers or audiences! Audiences is part of the Experian Marketing Engine marketing solution that helps automotive marketers, manufacturers, advertisers, agencies, and platforms identify the right audience, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities.