602-840-0606
Toll-Free: 800-238-7475
contact@cmyers.com
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Data Reveals Lost Revenue Opportunities
Consumer Behavior and Technology, Featured, Process Improvement Blog Posts5 minute read – One of our podcasts focuses on the importance of growing top-line revenue. With so many competing priorities, strategic teams need to seek balance in the initiatives they take on to ensure that revenue growth initiatives receive high priority.
Revenue growth can be generated in many ways, but one source that has the potential to pay off quickly is growing loans by booking more of the opportunities you’re already getting. Making changes that increase the number of funded applications can make a significant impact on revenue in the short and long term.
Incomplete and Abandoned Applications
Dive into your data to investigate the points in the application where people are quitting. This can provide great insight into the sources of friction. Some systems and vendors make it difficult to get this information, but it’s worthwhile to push for the data.
Armed with the quit points, go through the application process yourself with a critical eye and the mindset of someone who is not an expert in financial services. Something that is even slightly confusing can cause online applicants to jump ship for one of the many other lenders at their fingertips.
Competitors have made applying for a loan incredibly easy, asking as little as possible of their customers. People may quit if the application goes on too long, asking too many questions. The mindset for digital applicants is very different from the in-person applicants of the past. A series of questions that might have felt like a conversation in person can feel tiresome and intrusive when applying digitally.
Declined Applications
Approvals and declines must happen within the organization’s appetite for risk, but the data can point out inconsistencies and missed opportunities. Look for differences where you would expect to find similarities. Similar loan types for similar credit scores would typically result in similar approval ratios. Look by channel (online versus contact center versus phone), underwriter, originator, and branch.
This organization needs to understand why Branch B declines 30% of vehicle applications with credit scores of 600-679, while Branch C only declines 18% (and funds a lot more of them). They could start by slicing the data by originator and underwriter and using that as a springboard for deeper conversations to understand the differences.
Approved Applications That Don’t Fund
After you’ve gone through the effort to approve a loan, the payback doesn’t come unless the customer says yes. Your data can tell you how often the effort is wasted. It can also tell you how long different phases in the process are taking, how the trends vary for different loan types, and whether correlations can be made to branches, originators, channels, underwriters, or credit score.
As you dig in, you may find some of these common points of friction:
See our blog on using the power of “Why?” for more ideas on identifying potential issues and capturing some of the lost opportunities.
Fixing Hiccups
Taking action on your findings is often technically simple. Some of the biggest impacts are the result of changing old business rules that have been carried forward and providing clear guidance on steps that are no longer required. Improving even one or two friction points can pay big dividends into the future. Plus, the effects are near-term and may produce additional benefits like greater efficiency and improving the customer and employee experience.
As you consider using resources to work through these issues, it helps to quantify the potential for increased revenue. Once you know your baseline performance, you can do what-ifs on approving or funding more applications. This institution is looking at direct vehicle loan applications. By funding 5% more of the approved applications, they could book 9% more in loan balances in this category.
Booking more of the loan applications you already receive is just one way to grow your top-line revenue. We haven’t even touched on the vast array of other possibilities. Spend some time thinking about this as a team and utilize your data to help with the analysis. With so much to do, make sure enough focus is devoted to growing top-line revenue.
Stay Forward Thinking About IRR Shocks
ALM, Budgeting, Economy, Featured, Financial Planning, Interest Rate Risk Blog Posts3 minute read – With the Federal Reserve using monetary policy and increasing rates to combat inflation, there will be different winners and losers. Every financial institution has a unique exposure to rising interest rates. Some financial structures will experience an increase in earnings from higher fed funds and prime rates while others could see earnings squeezed.
Interest rate risk (IRR) analysis can help provide insights on the financial impact of increased rates. However, it is important to remember that as the environment changes, if rates increase, the IRR shocks themselves start to go higher, which can mean more pressure for many decision-makers.
For example, consider a traditional IRR test of a +300 basis point (bp) rate shock. Over the past two years, short-term market interest rates have been close to 0%. Since the onset of the pandemic, a +300 bp IRR shock increased short-term rates to roughly 3%. But if some of the projections come true and short-term rates are 2% by year end, the same IRR shock of +300 bps now takes short-term rates to 5%. Both tests are for a +300 bp shock in rates, but the pressure of short-term rates at 3% versus 5% can be vastly different.
Notice the IRR shock results for Case A and B, two financial institutions with very different balance sheet structures.
If they both had a policy limit of 5% EVE ratio and -40% volatility, both institutions would be within their policy limits if rates stay at current levels. However, if rates continue to increase, and therefore the shocked environment increases, Case B would be out of policy.
The Point at Which You Address a Problem…
…is directly related to the number of viable options you will have to solve it. This is one of the many truisms that our founder, Cliff Myers, instilled into our culture.
This forward view helps decision makers get an early glimpse of what may happen and help reduce potential surprises. While both institutions are currently within their policy limits, the leadership team at Case B should start discussions to evaluate whether they would like to take actions today to reduce their risk in higher rate environments. If they would like to reduce their risk, the next step would be to evaluate the risk-return trade-offs of different options. There are always trade-offs to different decisions, and evaluating this earlier can lead to an increase of viable options.
We also recommend exploring different twists in the yield curve when evaluating the potential impact of rate changes. The current environment, along with some of the expectations of where rates may go, provide a reminder about the importance of testing twists in the yield curve. Different shifts in short- and long-term rates when evaluating rate increases may reveal more or less sensitivity to the environment. Seeing the impact of different yield curves should be incorporated in your frequent discussions about interest rate risk.
For more food for thought, you can listen to c. myers live – An Insightful Conversation About Inflation
c. myers live – An Insightful Conversation About Inflation
ALM, Economy, Financial Planning, Interest Rate Risk PodcastsTop of mind for many decision-makers is the topic of inflation. While there is a lot of uncertainty around the topic, the key is in the discussion. In this c. myers live, we dive into discussions your team can be having around inflation and its impact on the financial industry, and why it is important to plan for a range of outcomes.
To read more about inflation and interest rate risk, check out this blog.
Rob Johnson
Rob, one of five c. myers owners, has a reputation for deep, original thinking on asset/liability management and every conceivable modeling methodology, as well as analysis of investments, liquidity, aggregate risk, concentration risk, and other related topics. While Rob is a familiar face to the managements and boards of many of the largest credit unions, he has helped credit unions of all sizes tackle some of their toughest challenges, such as rebuilding capital and navigating safely and soundly with the smallest of margins. He has become quite familiar to many leaders in the regulatory world, both as an educator and a thought leader.
Learn more about Rob
David Loftus
Learn more about David
Business Intelligence Strategy – Put the Horse Before the Cart
Consumer Behavior and Technology, Featured, Process Improvement, Strategic Implementation Blog Posts5 minute read – There are almost as many strategic initiatives focused on business intelligence (BI) and data analytics as there are financial institutions. The potential breadth and depth of BI is so large that creating clear objectives for BI initiatives is essential. Yet, perhaps because it is so unwieldy, some organizations have bypassed getting clarity on the BI strategy and jumped into the “how” by focusing first on tools, data sources, and teams.
Putting strategy first in no way minimizes the critical nature of the tools, data sources, teams, etc. It is because it is such a heavy lift, and there are so many options, that the strategic reasons for taking on a BI initiative should be clear up front. Without articulating what the organization hopes to accomplish and by when, the initiative runs the risk of being driven by inappropriate influences such as which tools are coolest, or which department has the most sway. This top-down approach ensures that the organizational efforts align with strategy.
Start by asking what strategic outcomes are big and impactful enough to justify moving in this direction. Think through what is driving the desire for better BI. It must be grounded in the high-level strategy.
For example, consider two different organizations with two different strategies:
The very reason it’s so important to state the BI strategy is because most organizations want what both of the example organizations are great at, plus more. And that may be possible, eventually, as BI often progresses in phases. But prioritizing the key strategic outcomes at the outset provides guidance and a filter when necessary trade-offs must be made as the “how” gets underway.
One helpful exercise is to ask each leader or area to identify the 3 most impactful business opportunities to seize or problems to solve with better BI and have the leadership team discuss. It’s also appropriate to have conversations around what will be useful beyond the 3, but focus on the most impactful at first.
Cultivating the BI culture and mindset. First and foremost, don’t be handcuffed by the past. Most have lived in a static data world where reports are pre-defined and it’s extremely difficult and unreliable at worst, or time-consuming at best, to get the desired BI. Recognize that shifting away from the static data mindset amounts to asking leaders to think differently. Begin by asking, What would you want to know in order to transform your part of the business? Initially, don’t limit the thinking based on what you can get. Just practice asking questions that push you to think about your business differently, like What do people who click on our prequalified credit card offers have in common? or What else can we see is happening before someone misses a loan payment? To become an organization that takes optimal advantage of BI to run the business better and move the strategy forward, leaders first need to practice thinking outside of what they are used to getting.
Who will own and drive this important initiative? It needs a dedicated owner, and that owner must recognize the pan-organizational nature of BI. It often lands with IT because of the technology tools required, but business intelligence is everybody’s business. Whether it’s IT, Marketing, or another area driving it, the entire leadership team must be engaged. Relegating BI to a silo is not a recipe for success.
Don’t forget to circle back. Teams must consistently evaluate whether the BI strategy is yielding the desired “greatness” and success of the high-level strategy. Regularly reassess and tweak as necessary. If Organization #1 believes it has successfully fulfilled its BI strategy, they should ask themselves whether they are actually credit analysis, pricing, and collections ninjas, effectively helping people with dented credit get the money they need in a financially healthy way. If the answer is no, it may be that the culture and mindset shift to fully utilize BI has not happened yet. It will take leadership demonstrating time and time again how BI can and should be used before a successful shift can be made.
The success of any BI strategy requires a dizzying number of decisions and a complex array of technologies, data, people, and behaviors. Start by defining the most impactful business opportunities and problems to address and articulate the strategic reasons that are driving your desire for better BI. Clearly identifying the BI strategy sets the stage for success and guides the multitudes of decisions and activities to follow.
c. myers live – Using Scale and Automation to Control Expenses and Grow Revenue
Featured, Financial Planning, Strategic Implementation PodcastsDecision-makers in the financial industry have been battling this question: “How can we effectively use scale and automation to control our expenses and grow revenue?” In this c. myers live, we will discuss the importance and benefits of scale and automation in this ever-challenging environment.
About the Hosts:
Rob Johnson
Rob, one of five c. myers owners, has a reputation for deep, original thinking on asset/liability management and every conceivable modeling methodology, as well as analysis of investments, liquidity, aggregate risk, concentration risk, and other related topics. While Rob is a familiar face to the managements and boards of many of the largest credit unions, he has helped credit unions of all sizes tackle some of their toughest challenges, such as rebuilding capital and navigating safely and soundly with the smallest of margins. He has become quite familiar to many leaders in the regulatory world, both as an educator and a thought leader.
Learn more about Rob
Dan Myers
Learn more about Dan
Other ways to listen to c. myers live: