Tag: consumer segmentation

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

Performance reports are foundational and are one of the key elements of a sound and prudent risk management framework. Learn how effective reports evolve.

What if you could increase your market engagement rate from 5% to 10%? Getting strategic about your segmentation makes all the difference.

Any analytical environment is only as good as the data you put into it. Check these four key features when choosing the right one for your organization.

With Hispanic Heritage Awareness Month underway and the topic of growing membership a constant priority, here are some tips from a credit union CEO.

How can you build upon existing customer relationships and offer the products to the right people at the right time? By understanding consumer behavior.

National Hispanic Heritage Month Sept. is 15 - Oct. 15. With 1 in 6 U.S. residents being Hispanic, now is a great time for financial institutions to reflect on their largest growth opportunity.

When you think of criteria for prescreen credit marketing, what comes to mind? Most people will immediately discuss the risk criteria used to ensure consumers receiving the mailing will qualify for the product offered. Others mention targeting criteria to increase response rates and ROI. But if this is all you’re looking at, chances are you’re not seeing the whole picture. When it comes to building campaigns, marketers should consider the entire customer lifecycle, not just response rates. Yes, response rates drive ROI and can usually be measured within a couple months of the campaign drop. But what happens after the accounts get booked? Traditionally, marketers view what happens after origination as the responsibility of other teams. Managing delinquencies, attrition, and loyalty are fringe issues for the marketing manager, not the main focus. But more and more, marketers must expand their role in the organization by taking a comprehensive approach to credit marketing. In fact, truly successful campaigns will target consumers that build lasting relationships with the institution by using the three pillars of comprehensive credit marketing. Pillar #1: Maximize Response Rates At any point in time, most consumers have no interest in your products. You don’t have to look far to prove this out. Many marketing campaigns are lucky to achieve greater than a 1% response rate. As a result, marketers frequently leverage propensity to open models to improve results. These scores are highly effective at identifying consumers who are most likely to be receptive to your offer, while saving those that are not for future efforts. However, many stop with this single dimension. The fact is no propensity tool can pick out 100% of responders. Layering just a couple credit attributes to a propensity score allows you to swap in new consumers. Simultaneously, credit attributes can identify consumers with high propensity scores that are actually unlikely to open a new account. The net effect is even higher response rates than can be achieved by using a propensity score alone. Pillar #2: Risk Expansion Credit criteria are usually set using a risk score with some additional attributes. For example, a lender may target consumers with a credit score greater than 700 and no derogatory or delinquent accounts reported in the past 12 months. But, most of this data is based on a “snapshot” of the credit profile and ignores trends in the consumer’s use of credit. Consider a consumer who currently has a 690 credit score and has spent the past six months paying down debt. During that time, utilization has dropped from 66% to 41%, they’ve paid off and closed two trades, and balances have reduced from $21,000 to $13,000. However, if you only target consumers with a score greater than 700, this consumer would never appear on your prescreen list. Trended data helps spot how consumers use data over time. Using swap set analysis, you can expand your approval criteria without taking on the incremental risk. Being there when a consumer needs you is the first step in building long-term relationships. Pillar #3: Customer profitability and early attrition There’s more to profitability than just originating loans. What happens to your profitability assumptions when a consumer opens a loan and closes it within a few months? According to recent research by Experian, as many as 26% of prime and super-prime consumers, and 38% of near-prime consumers had closed a personal loan trade within nine months of opening. Further, nearly 32% of consumers who closed a loan early opened a new personal loan trade within a few months. Segmentation can help identify consumers who are likely to close a personal loan early, giving account management teams a head start to try and retain them. As it turns out, many consumers use personal loans as a form of revolving debt. These consumers occasionally close existing trades and open new trades to get access to more cash. Anticipating who is likely to close a loan early allows your retention team to focus on understanding their needs. If you don’t, you’re competition will take advantage through their marketing efforts. Building the strategy Building a comprehensive strategy is an iterative process. It’s critical for organizations to understand each campaign is an opportunity to learn and refine the methodology. Consistently leveraging control and test groups and new data assets will allow the process to become more efficient over time. Importantly, marketers should work closely across the organization to understand broader objectives and pain points. Credit data can be used to predict a range of future behaviors. As such, marketing managers should play a greater role as the gatekeepers to the organization’s growth.