Tag: credit offers

This article was updated on September 8, 2023. Prescreen, prequalification and preapproval. The terms sound similar, but lenders beware. These credit solutions are quite different, and regulations vary depending on which product is utilized.  Let’s break it down…  What is prescreen?  Perhaps the most reliable mailbox tenant, thick envelopes splashed with “limited time offer” or other flashy designations offering various card and credit products – otherwise known as prescreen offers – are a mainstay in many households.  Prescreen is a process that happens behind-the-scenes where a lender screens a consumer’s credit to determine whether to extend a firm offer of credit. The process takes place without the consumer’s knowledge and without any negative impact to their credit score.  For lenders and financial institutions, credit prescreen is a way to pick and choose the criteria of the consumers you want to target for a particular offer – often in the form of better terms, interest rates or incentives. Typically, a list of consumers meeting specific credit criteria is compiled by a Credit Reporting Agency, like Experian, and then provided to the requesting lending institutions or their mailing service.  In other words? Increase response rates and conversion by targeting the right consumers and eliminating unqualified prospects. Additionally, prescreening consumers also reduces high-risk accounts, targeting the best prospects to reach them at the right time with the right offer for their needs.  Gone are the days of batch-and-blasting. It’s expensive and a challenge for constantly limited marketing budgets. Prescreen decreases acquisition and mailing costs by segmenting a lender’s prospect list. In one case, a lender identified more than 40 thousand loans, representing $466 million in loan growth opportunities, after using digital prescreen.   Governed by the Fair Credit Reporting Act (FCRA), lenders initiating prescreen campaigns for credit products must also adhere to certain rules. What qualifies one of these campaigns?  A firm offer of credit  An inquiry posting is required (though it is a “soft” inquiry)  Consumers also have the option to opt out of preapproved and prescreen credit offer lists  In addition to acquisitions via direct mail, there are various types of prescreen tailored to the multiple channels where marketing takes place in today’s world. For example, Instant Prescreen can increase new account acquisitions by performing the preapproval process in seconds, while the customer is on your website, on the phone with you or at your business.  Similar to how you might screen calls on your cell phone by letting them go to your voicemail inbox or screen candidates’ resumes before inviting them for an interview for an open position at your company, a prescreened credit offer is not much different. Focusing on your audience that is most likely to respond to your offers is an easy way to increase your ROI and should be considered a best practice when it comes to your marketing efforts.  What is prequalification?  Prequalification, on the other hand, is a consumer consent-based credit screening tool where the consumer opts-in to see which credit products they may be qualified for in real time at the point of contact. Unlike a prescreen which is initiated by the lender, the prequalification is initiated by the consumer. In this instance, envision a consumer visiting a bank and inquiring about whether they would qualify for a credit card. During a prequalification, the lender can explore if the consumer would be eligible for multiple credit products – perhaps a personal loan or HELOC. The consumer can then decide if they would like to proceed with the offer(s).  A soft inquiry is always logged to the consumer’s credit file, and the consumer can be presented with multiple credit options for qualification. No firm offer of credit is required, but adverse action may be required, and it is up to the client’s legal counsel to determine the manner, content, and timing of adverse action. When the consumer is ready to apply, a hard inquiry must be logged to the consumer’s file for the underwriting process.   With Experian’s Prequalification, you can match prospective customers with the right loan products at the point of contact, allowing you to increase approval rates and ROI.  How will a prequalification or prescreen invitation/offer impact a consumer’s credit report?  Inquiries generated by prequalification offers will appear on a consumer’s credit report. For “soft” inquiries, in both prescreen and prequalification instances, there is no impact to the consumer’s credit score.  However, once the consumer elects to proceed with officially applying for and/or accepting a new line of credit, the hard inquiry will be noted in the consumer’s report, and the credit score may be impacted. Typically, a hard inquiry subtracts a few points from a consumer’s credit score, but only for a year, depending on the scoring model.  Learn more about Prescreen | Learn more about Prequalification 

"Out with the old and in with the new" is often used when talking about a fresh start or change we make in life, such as getting a new job, breaking bad habits or making room in our closets for a new wardrobe. But the saying doesn't exactly hold true in terms of business growth. While acquiring new customers is critical, increasing customer retention rates by just 5% can increase profits by up to 95%.1 So, what can your organization do to improve customer retention? Here are three quick tips: Stay informed Keeping up with your customers’ changing interests, behaviors and life events enables you to identify retention opportunities and create personalized credit marketing campaigns. Are they new homeowners? Or likely to purchase a vehicle within the next five months? With a comprehensive consumer database, like Experian’s ConsumerView®, you can gain granular insights into who your customers are, what they do and even what they will potentially do. To further stay informed, you can also leverage Retention TriggersSM, which alert you of your customers changing credit needs, including when they shop for new credit, open a new trade or list their property. This way, you can respond with immediate and relevant retention offers. Be more than a business – be human Gen Z's spending power is projected to reach $12 trillion by 2030, and with 67% looking for a trusted source of personal finance information,2 financial institutions have an opportunity to build lifetime loyalty now by serving as their trusted financial partners and advisors. To do this, you can offer credit education tools and programs that empower your Gen Z customers to make smarter financial decisions. By providing them with educational resources, your younger customers will learn how to strengthen their financial profiles while continuing to trust and lean on your organization for their credit needs. Think outside the mailbox While direct mail is still an effective way to reach consumers, forward-thinking lenders are now also meeting their customers online. To ensure you’re getting in front of your customers where they spend most of their time, consider leveraging digital channels, such as email or mobile applications, when presenting and re-presenting credit offers. This is important as companies with omnichannel customer engagement strategies retain on average 89% of their customers compared to 33% of retention rates for companies with weak omnichannel strategies. Importance of customer retention Rather than centering most of your growth initiatives around customer acquisition, your organization should focus on holding on to your most profitable customers. To learn more about how your organization can develop an effective customer retention strategy, explore our marketing solutions. Increase customer retention today 1How investing in cardholder retention drives portfolio growth, Visa. 2Experian survey, 2023.

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

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

Artificial intelligence is here to stay, and businesses who are adopting the newest AI technology are ahead of the game. From targeting the right prospects to designing effective collections efforts, AI-driven strategies across the entire customer lifecycle are no longer a nice to have - they are a must.  Many organizations are late to the game of AI and/or are spending too much time and money designing and redesigning models and deploying them over weeks and months. By the time these models are deployed, markets may have already shifted again, forcing strategy teams to go back to the drawing board. And if these models and strategies are not being continuously monitored, they can become less effective over time and lead to missed opportunities and lost revenue. By implementing artificial intelligence in predictive modeling and strategy optimization, financial institutions and lenders can design and deploy their decisioning strategies faster than ever before and make incremental changes on the fly to adapt to evolving market trends.  While most organizations say they want to incorporate artificial intelligence and machine learning into their business strategy, many do not know where to start. Targeting, portfolio management, and collections are some of the top use cases for AI/ML strategy initiatives.  Targeting  One way businesses are using AI-driven modeling is for targeting the audiences that will most likely meet their credit criteria and respond to their offers. Financial institutions need to have the right data to inform a decisioning strategy that recognizes credit criteria, can respond immediately when prospects meet that criteria and can be adjusted quickly when those factors change. AI-driven response models and optimized decision strategies perform these functions seamlessly, giving businesses the advantage of targeting the right prospects at the right time.  Credit portfolio management  Risk models optimized with artificial intelligence and machine learning, built on comprehensive data sets, are being used by credit lenders to acquire new revenue and set appropriate balance limits. Strategies built around AI-driven risk models enable businesses to send new offers and cross-sell offers to current customers, while appropriately setting initial credit limits and managing limits over time for increased wallet share and reduced risk.   Collections  AI- and ML-driven analytics models are also optimizing collections strategies to improve recovery rates. Employing AI-powered balance and response models, credit lenders can make smarter collections decisions based on the most predictive and accurate information available.   For lending businesses who are already tight on resources, or those whose IT teams cannot meet the demand of quickly adapting to ever-changing market conditions and decisioning criteria, a managed service for AI-powered models and strategy design might be the best option. Managed service teams work closely with businesses to determine specific use cases, develop models to meet those use cases, deploy models quickly, and monitor models to ensure they keep producing and predicting optimally.  Experian offers Ascend Intelligence Services, the only managed service solution to provide data, analytics, strategy and performance monitoring. Experian’s data scientists provide expert guidance as they collaborate with businesses in developing and deploying models and strategies around targeting, acquisitions, limit-setting, and collections. Once those strategies are deployed, Experian continually monitors model health to ensure scores are still predictive and presents challenger models so credit lenders can always have the most accurate decisioning models for their business. Ascend Intelligence Services provides an online dashboard for easy visibility, documentation for regulatory compliance, and cloud capabilities to deliver scores and decisions in real-time.  Experian’s Ascend Intelligence Services makes getting into the AI game easy. Start realizing the power of data and AI-driven analytics models by using our ROI calculator below: initIframe('611ea3adb1ab9f5149cf694e'); For more information about Ascend Intelligence Services, visit our webpage or join our upcoming webinar on October 21, 2021.  Learn more Register for webinar

As industry experts are still unsure when the economy will fully recover, re-entry into marketing preapproved credit offers seems like a far-off proposal. However, several of the top credit card issuers are already mailing prescreen offers, with many other lenders following suit. When the time comes for organizations to resume, or even expand this type of targeting, odds are that the marketing budget will be tighter than in the past. To make the most of the limited available marketing spend, lenders will need to be more prescriptive with their selection process to increase response rates on fewer delivered offers. Choosing the best candidates to receive these offers, from a credit risk perspective, will be critical. With delinquencies being suppressed due to CARES Act reporting guidelines, identifying consumers with the ability to repay will require additional assessment of recent credit behavior metrics, such as actual payment amounts and balance migration. Along with the presence of explicit indicators of accommodated trades (trades affected by natural disaster, trades with a balance but no scheduled payment amount) on a prospect’s credit file, their recent trends in payments and balance shifts can be integral in determining whether a prospect has been adversely impacted by today’s economic environment. Once risk criteria have been developed using a mix of bureau scores (like the VantageScore® credit score), traditional credit attributes and trended attributes measuring recent activity, additional targeting will be critical for selecting a population that’s most likely to open the relevant trade type. For credit cards and personal installment loans, response performance can be greatly improved by aligning product offers with prospects based on their propensity to revolve, pay in full each month or consolidate balances. Additionally, the process to select final prospects should integrate a propensity to open/respond assessment for the specific offering. While many lenders have custom models developed on previous internal response performance, off-the-shelf propensity to open models are also available to provide an assessment of a prospect’s likelihood to open a particular type of trade in the coming months. These models can act as a fast-start for lenders that intend to develop internal custom models, but don’t have the response performance within a particular product/geography/risk profile. They are also commonly used as a long-term solution for lenders without an internal model development team or budget for an outsourced model. Prescreen selection best practices Identify geography and traditional credit risk assessment of the prospect universe. Overlay attributes measuring accommodated trades and recent payment/balance trends to identify prospects with indications of ability to pay. Segment the prospect universe by recent credit usage to determine products that would resonate. Make final selections using propensity to open model scores to increase response rates by only making offers to consumers who are likely looking for new credit offers. While the best practices listed above don’t represent a risk-free approach in these uncertain times, they do provide a framework for identifying prospects with mitigated repayment risk and insights into the appropriate credit offer to make and when to make it. Learn about in the market models Learn about trended attributes VantageScore® is a registered trademark of VantageScore Solutions, LLC.

You’ve Got Mail! Probably a lot of it. Birthday cards from Mom, a graduation announcement from your third cousin’s kid whose name you can’t remember and a postcard from your dentist reminding you you’re overdue for a cleaning. Adding to your pile, are the nearly 850 pieces of unsolicited mail Americans receive annually, according to Reader’s Digest. Many of these are pre-approval offers or invitations to apply for credit cards or personal loans. While many of these offers are getting to the right mailbox, they’re hitting a changing consumer at the wrong time. The digital revolution, along with the proliferation and availability of technology, has empowered consumers. They now not only have access to an abundance of choices but also a litany of new tools and channels, which results in them making faster, sometimes subconscious, decisions. Three Months Too Late The need to consistently stay in front of customers and prospects with the right message at the right time has caused a shortening of campaign cycles across industries. However, for some financial institutions, the customer acquisition process can take up to 120 days! While this timeframe is extreme, customer prospecting can still take around 45-60 days for most financial institutions and includes: Bureau processing: Regularly takes 10-15 days depending on the number of data sources and each time they are requested from a bureau. Data aggregation: Typically takes anywhere from 20-30 days. Targeting and selection: Generally, takes two to five days. Processing and campaign deployment: Usually takes anywhere from three days, if the firm handles it internally, or up to 10 days if an outside company handles the mailing. A Better Way That means for many firms, the data their customer acquisition campaigns are based off is at least 60 days old. Often, they are now dealing with a completely different consumer. With new card originations up 20% year-over-year in 2019 alone, it’s likely they’ve moved on, perhaps to one of your competitors. It’s time financial institutions make the move to a more modern form of prospecting and targeting that leverages the power of cloud technology, machine learning and artificial intelligence to accelerate and improve the marketing process. Financial marketing systems of the future will allow for advanced segmentation and targeting, dynamic campaign design and immediate deployment all based on the freshest data (no more than 24-48 hours old). These systems will allow firms to do ongoing analytics and modeling so their campaign testing and learning results can immediately influence next cycle decisions. Your customers are changing, isn’t it time the way you market to them changes as well?

As we enter 2017, it’s no surprise people are buying and selling online and using their mobile devices more than ever. At the close of November, Adobe released its online shopping data from Black Friday, Cyber Monday, and the overall holiday season. According to the data, the major November holiday shopping season was driving close to $40 billion in online and mobile revenue alone — a 7.4% increase year-over-year! Every year, we see tremendous growth in spending through online and mobile channels. Interestingly, this pattern is not just indicative of consumer spending and overall market confidence. The consumer pattern also illustrates a clear change in communication preferences — with the ever-present shift toward digital. In general, consumers are interacting more and more through both online and mobile channels for all of their personal needs, including banking and financial services; and the lending community is anxious to continue connecting to consumers where they need them most. No longer is digital communication the “cool thing to do,” but rather it is essential. While Experian’s lending customers still find tremendous success in direct mail prospecting, many financial institutions are preparing to implement an enhanced acquisition strategy in 2017. This strategy includes multi-channel prospecting initiatives to present consumers with preapproved credit offers. In addition to direct mail, our customers are evaluating digital channels such as email, mobile, and other online channels to improve the overall consumer experience and responsiveness. In the latest Digital Banking Report, published in July 2016, email is the top channel financial marketers are turning to for cross-channel marketing after the initial onboarding process (as illustrated in chart 49), but you can see social media and retargeting are rising in the ranks. In Sept., 2016, Experian was named one of the top 100 most innovative companies for a third year by Forbes magazine. A key part of that success was driven by investments in Experian’s Data Lab and Experian Marketing Service’s Audience Engine, which is an audience management platform that changes the way the advertising industry buys and measures media. We are focused on meeting our customers and the consumer where they need us most. Bottom line? As you refine your goals for 2017, the financial services sector should dig deeper when making connections. They must reach consumers where they want to connect – and that means a successful credit marketing strategy will be one that includes both direct mail and digital communications. A new year is the perfect time to re-evaluate those same-old, same-old marketing and acquisition tactics. We're not saying you need to abandon direct mail, but it is certainly time for lenders to complement their direct mail efforts with a savvy digital plan as well. Resolve to do it better in 2017.