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Alternative Data is on the “Rise™”

Credit Bureaus have been a bedrock of the financial services industry for decades.  Their insights on a consumer’s creditworthiness and willingness to repay a loan have proved their value a hundred-fold over the past 50 years. However, their ability to measure the creditworthiness of all persons is limited due to various reasons from the lack of reporting to the bureaus to the rapidly changing ways consumers conduct payments and other financial transactions and the explosion of non-traditional financial organizations.

A combination of innovation, technology, and immigration patterns and processes have changed how many in the United States are employed and receive income.  Over the past few decades, these changes have left many consumers unable to get the crucial capital needed to buy homes and get approved for loans or credit, regardless of their steady income and consistent payment history for lifestyle-related expenses.

Alternative Data For Credit Decisioning

The Consumer Financial Protection Bureau (CFPB) held a hearing in 2017 to review the use of alternative data for credit decisioning.  The CFPB recognized the traditional system for reporting consumer credit included lending categories where the credit is provided by banks and financial companies that have mechanisms in place for record-keeping.  By that definition, this excludes rent payment activity, which is a major payment area for millions of consumers across the United States.  Learn more about the outcome of the CFPB hearing here.

The CFPB also recognized that alternative data would help to expand credit opportunities to consumers with little to no credit history.  By leveraging alternative data, FI’s would create a broader financial profile on their customers through the combination of both traditional and non-traditional data sources including ACH, Debit/Credit cards, mobile phones, and the internet resulting in an improvement of creditworthiness reporting and accuracy.

Rise™ Provides Insight Into Non-Traditional Financial Data

Rise™ is an example of a new product by IFM that provides insight to non-traditional categories of financial activities helping FI’s to paint the clearer picture they have been looking for on consumer customers that may otherwise have fallen out of their lending radar.  Rise™ reports on the customer’s various sources of income and the consistency of payments for debt categories including rent, utilities, membership payments, subscription payments, and more.  In essence, Rise™ makes it easier for FI’s to receive intelligence about their customers without having to manage multiple large data sources or the categorization and reporting accuracy of their financial behavior.

To learn more about Rise, a new component of IFM’s Candela™ service, you can communicate with me directly at [email protected].

About IFM

For the past 20 years, Insight Financial Marketing, L.L.C., has provided financial institutions with customer insights from the analysis of customer financial transactions such as ACH, debit card, credit card, and wire data.  These insights are typically leveraged to help deepen relationships with consumer and business customers and to strengthen customer insights that are ingested into data environments that are then leveraged throughout their enterprise.  IFM solely analyzes an FI’s data and returns customer insights back to the FI client.  IFM also complies fully with bank customer privacy policies which enable FI’s to develop products and services, using IFM data, that be launched across their customer base.

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Insight Financial Marketing Celebrates 20th Year Anniversary

20 years of innovation, development, and trustworthy business practices mark the milestone.

IFM’s services provide financial institutions with large-scale transactional analysis and consulting identifying opportunities to help strengthen and grow their client relationships. Founded on July 16, 2002, IFM began analyzing Automated Clearing House transactions for marketing purposes and fraud detection, considered a unique capability by the financial services industry. Over the years, IFM developed an extensive and sophisticated processing methodology for translating and categorizing transactions that enhanced their ability to produce customer insights for financial institutions.  As IFM’s capabilities matured, their analysis expanded to include all bank data types.  

Most recently, IFM’s services have been leveraged to enhance A.I. and machine learning initiatives,  advanced analytical capabilities to smaller regional and community-based institutions, and product expansion providing alternative data insights that, according to the Consumer Financial Protection Bureau (CFPB), can provide numerous advantages to financial institutions including enhancements to their credit lead qualification and underwriting.

The foundation of IFM’s success has been the firm’s unwavering commitment to innovation and excellent service, and the founding partners’ focus on enhancing the personal and professional well-being of all of IFM’s employees. 

 

IFM Senior Partner, Michael Uline reflected on the company’s 20th anniversary by saying,

“For several years IFM had to educate banks on how to use transactional information to provide a better product and service to their clients.  Today, banks expect to use transactional information to improve their client relationships. IFM is a pioneer in transaction analysis and over the 20 years I am most proud of our team.  We have built a core set of employees that are experts in providing a responsive and accurate result to our clients.  It is because of our team, that we have had loyal clients for more than fifteen years.”

 

John Donohoe, IFM Senior Partner, added, 

“I am ever grateful for our successful twenty years and am thankful to our customers and our employees who have not only made our twenty years successful but have provided a great environment to grow our opportunities and build on our historical success. I look forward to many additional years of achievements with our new product offerings, new distribution channels, and our adept colleagues.”

 

IFM wishes to thank all its valued customers, strategic partners, and especially those who have been loyal to IFM since its inception.

About IFM

Over the last twenty years, IFM has developed an industry-leading customer intelligence platform for the financial services industry.  From our company’s founding in 2002 IFM has grown to serve many of the largest financial services firms based in the U.S., large international institutions with U.S. operations, and regional and community-focused institutions.  Our analytical sophistication has expanded across all bank data types delivering a wide range of profitable solutions from customer knowledge and cross-marketing leads to campaign management and professional services.  Learn more about at www.infimark.com.

Contact

Rob Reale
Associate Partner and National Sales Manager
Insight Financial Marketing
[email protected]
567 Harbor Side Street • Woodbridge, VA  22191 • (703) 490-3226
2626 E 82nd St, Ste 230 • Minneapolis, MN  55425 • (952) 432-1482

 

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EBook: A Quick Guide To Bank Deposit Growth

 

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Using Customer Intelligence to Compete More Effectively in the Future of Financial Services

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Like other industries in this new millennium, the financial services industry has been rapidly transformed by new technology.  With the rise of digital money, real-time money movement, and increased competition within the industry, this change is growing at an even faster pace.  But let’s face it, this industry has been one of the slowest to change compared to the Music/Movie Industry, Travel/Transportation, Communications, Engineering/IT/Cyber Security, and Shopping. 

 

How an institution prioritizes the utilization of data and information technology will largely dictate its future success.

 

One reason has been an inability for many traditional FI’s to transform their culture to prioritize data and information technology.  How an institution prioritizes the utilization of data and information technology will largely dictate its future success.  A recent article by Industry advisor Jim Marous, “How to Build a Data Culture that Supports Digital Banking Transformation” (thefinancialbrand.com), mentions the importance of implementing a data-centric strategy across the enterprise.  The article states that “Customer insight platforms and the process of information management can expand to customer service, product development, compliance, privacy governance and other key areas of the organization that need a complete and real-time view of the customer.”  

 

A Quick Guide To Bank Deposit Growth

 

Insight Financial Marketing (IFM) recognizes the importance of customer insights and has supported financial institutions across the country for nearly twenty years.  IFM clients have implemented our customer intelligence service into their enterprise-wide data strategy and have become leaders in the industry.  IFM’s advanced technology provides new capabilities related to detecting changes in customer behavior and the ability to predict customer behavior.  

To learn more about how IFM has helped FI’s transform data to be more easily leveraged throughout an enterprise and to enable your FI to compete more effectively in the future, contact Rob Reale, Associate Partner and National Sales Manager, at [email protected] or visit our website, www.infimark.com.    

 

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Help Your Customers Build Generational Wealth

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Help Your Customers Build Generational Wealth and Grow Opportunities for the Future

Interest rates continue to remain at record lows, and the recent employment numbers are showing improvement as we continue to recover from the COVID crisis.  Now that the economy is recovering, there are opportunities for financial institutions to help their customers get back on track for planning and preparing for the future.  Two of those areas include providing guidance and assistance with the planning and saving necessary to buy a home and providing the guidance, support, and services that will enable them to save for retirement.  

An article published by the US Census Bureau mentions that the most significant contributors to household wealth are home equity and retirement accounts, which accounted for 62.9% of households’ net worth.  Providing guidance and assistance in these two critical areas will help your customers build generational wealth and provide opportunities for themselves and their families in the future. 

 

A Quick Guide To Bank Deposit Growth

 

Insight Financial Marketing® (IFM®) has an industry-leading solution that provides deep insight into customer behavior and financial activity.  Using IFM’s advanced data analytics, your financial institution can identify key characteristics about your customers in near real-time and identify the segments likely to be more receptive to specific messaging in these critical areas.  

IFM offers event-based alerts and marketing campaign files that allow you to message your customers at the right time so you can provide them with the guidance and support they need to build wealth via homeownership, investing, and saving for retirement.  

To learn more about IFM’s services, you can visit our website or communicate with me directly via email or voice at [email protected] and 703-856-4060.

 

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ACH Transaction Volume Growth Indicates Rapid Shift to Digital Money Movement

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ACH Volume Soars At Record Pace

Wow!! Have you seen the new information that the National Automated Clearing House Association (NACHA) has posted about ACH transaction volume during the second quarter of 2021?  Volume soared at a record pace.

According to the post, the quarterly volume of 7.3 billion was an increase of 9.9% from the same period in 2020. The value of those payments was $18.4 trillion, reflecting a nearly 25% increase from a year earlier. Additionally, during the first quarter, a “new record was set in February when ACH volume averaged more than 118 million payments per day, the ACH Network’s highest daily average for a month. The second was in March, when ACH volume hit 2.7 billion payments, the largest monthly volume in ACH Network history. This included approximately 110 million economic impact payments by Direct Deposit from the federal government.”

 

In March, ACH volume hit 2.7 billion payments, the largest monthly volume in ACH Network history.

 

Clearly, these numbers show that the COVID pandemic has accelerated a change in behavior.

amongst consumers and businesses to adopt electronic payments and digital money movement.  Drilling down further into the Q2 numbers, we see that P2P transactions increased by 24.2% from the year-ago quarter, B2B activity increased by 28.7% and internet transactions increased by 14.3%. 

These volume numbers indicate that the rapid growth of transactions within the ACH network has not only continued to grow but are now growing at a record pace.

Question:

Why are ACH transaction volumes increasing so quickly and how will financial institutions adapt to this change in behavior from a customer intelligence perspective?

Answers: 

More and more consumers are choosing to conduct their lives online and in the mobile space. This includes entertainment, travel, paying bills, sending money to family, friends or businesses, shopping, buying digital currency, being paid by Direct Deposit, and investing. Businesses are also moving away from paper checks and adopting digital payments. From a financial institution perspective, firms will be challenged as their customers will be expecting that when moments that matter occur, their financial institution will be there for them, in near real-time with the right guidance and the financial products and services that meet their needs.

Customer Expectations Are Changing To Near Real-Time

Customers will be expecting that when moments that matter occur, their financial institution will be there for them with the proper guidance, financial products, and financial services that meet their needs.

Insight Financial Marketing has an industry-leading solution that will enable your financial institution to better understand consumer and business behavior in near real-time.  We have a proprietary analytical approach that identifies pattern changes, life events, and lifestyle changes that will help your FI to deepen relationships with your consumer and business customers. To find out how IFM can help your team better engage with your customers, visit us at our website, Infimark.com, or contact Rob Reale at [email protected].  

 

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The Financial Services Industry of the Future

The past year has brought many changes to the Financial Services Industry and so far in 2021 the indications are there is more to come. Mergers and acquisitions within the top 50 largest banks in the U.S. are reshaping the landscape, changes at the periphery of the industry are also having an impact.  Several of these developments include Lending Club’s acquisition of Radius Bank, Square receiving an industrial bank charter, the growth of SoFI and Cryptocurrency (One Bitcoin > $50,000), as well as usage increases of retail merchant apps (i.e. Starbucks and Chick-Fil-a), and digital signature technology.  Additionally, the payments environment is also shifting as ACH transaction volume surges and P2P transaction volume continues to increase with more usage of PayPal, Venmo, Square’s Cash App, Apple Pay, Apple Cash and the Apple Card, and Zelle (btw… JPMorgan has ended its ChasePay service).

How will your Financial Institution adapt to these changes?

 

These changes indicate that your FI’s customers are being enticed to move an ever-increasing portion of their financial relationships away from your institution.  What steps can you take to mitigate the depletion of deposits, loans, credit, and payments?  One critical step will be to identify when to communicate with your customers and with what message.  Using advanced data analytics that can shed light on customer behavior changes and provide customer insights are critically important.  Being able to predict future needs, and delivering timely offers that provide solutions, will give your institution an early ability to retain and grow relationships with your consumer and business customers.

Technology is available today to protect your tomorrow.

 

IFM’s industry-leading solution can help alleviate your institution from flying blind when it comes to understanding current and future trends and identifying opportunities to deepen engagement with your customers.  When FinTech firms like Venmo and Robinhood were launched, early transaction volumes and dollar amounts were low. However, what was significant was the tremendous rate of growth.  In today’s environment, it doesn’t take long for new technology to go viral and impact behavior.   When your customers experience life-changing and lifestyle events your ability to be there, in a timely manner to support your customers as they navigate through these experiences, is increasingly important. Now is the time to implement IFM’s solution to protect your institution from competitive forces in your ever-changing industry.   Contact us today to learn how your FI can leverage our free evaluation and industry-leading customer insights.

 

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Cross Selling In Banking: 4 Steps To Predictive Analytics

According to the book, ‘Marketing Metrics’, it is easier to sell a product to an existing customer (a 60-70% conversion rate) than to sell a product to a new qualified prospect (a 5-20% conversion rate). With existing clients, businesses already know their clients’ pain points, and the clients may have already become loyal to the financial institution. In the banking industry, banks often have a variety of products, but a good fraction of current customers might only utilize one or two products.

It can be challenging for a banker to sell a full range of financial products to a single customer, so front-line employees may only master a few of the high-performing financial products. Fortunately, banks have a valuable asset: customer data. With the right approach, a financial institution can evaluate their data and generate insights on cross-selling opportunities. This strategic approach to cross-selling is where predictive analytics comes in.

Here is how predictive analytics can be used for cross selling in banking:

The Power Of Predictive Analytics

The commoditization of financial products makes cross selling in banking arduous. Since customers may feel that they can get a better deal somewhere else, they might pick the most affordable product from your financial institution and hunt for other products elsewhere. This commoditization has resulted in banks bundling multiple banking products in an effort to create higher perceived value for the customer.

However, push-based selling and “one-size-fits-all” campaigns might not suffice to lure the modern-day customer. They need access to valuable products, and they need it now. Any product you bundle with the rest of your financial offerings should add the most value to their lives.

Given that banks collect data through CRM software and online tools, they can use this data to identify what their customers need. The data provides insights into:

  1. What customer to contact first

  2. What to sell them

  3. How to communicate with them

Predictive analysis allows banks to evaluate buyer behavior through recent account activities and sometimes even online activities such as reviews and complaints. Instead of offering a single generalized offer, financial institutions can personalize their products to a specific prospect group which can improve a campaign’s return on investment.

Predictive Analytics Steps

1. Start With A Question

Banks collect vast chunks of data, and they will be nothing more than data without analyzing them. To successfully identify opportunities for cross selling in banking, they must create a question and look for its answers through predictive analysis. Unlike conventional business intelligence (BI) tools that tend to be retrospective in nature, predictive analytics tools should provide insights into the future. You can get answers to questions like:

  • What customer demographics are the most likely to churn?

  • What is the estimated number of leads the institution will get from a marketing campaign?

  • What are the odds of a customer purchasing product y after purchasing product X?

  • How profitable might a specific product package be over the next two years?

2. Collect Data

The next step is to identify and collect the data that might bring the bank close enough to the answers. However, the level of confidence a bank can have in its predictive analytics software will significantly depend on the quality of the data it collects. As long as the data meets a quality threshold, it will provide trustable insights.

For the financial institutions storing outdated, inconsistent, or even incomplete client data in their CRM, data collection can become quite time-consuming. As a result, the onus is upon bank managers to spearhead data quality management that lays the foundation for a streamlined process.

Data stored within banking CRM might not be sufficient for some predictive models. Banks might need to get data from other sources. Some of these sources include:

  • ACH transactions

  • Bill payment behavior

  • Geolocation

  • Personal financial management

  • Wire & check payment data

  • Credit cards and debit cards

3. Build A Predictive Model

Next, data analysts have to create a predictive model that will define and determine the probability of specific events happening. These analysts can leverage artificial intelligence and machine learning methods, such as deep learning or linear regressions, to predict this. Once the model is created, test data has to be used to assess the predictive power of the model. For models that do not meet the expectations of the bank, they can be fine-tuned to offer higher predictive accuracy.

Data normalization can help increase the accuracy of a data model. Normalization helps achieve greater overall database organization, reduction of redundant data, improved data consistency within the database, and makes database security more manageable.

Once an accurate model is created, it can be a game-changer. Managers only need to feed their normalized data into the models and get the output they need to make decisions for cross-selling in banking.

4. Pay Close Attention To Assumptions

The idea that the future will always mirror the past is a major assumption throughout predictive analytics models. While there is some truth to this, consumer behaviors do change with time. If changes occur to the behavioral assumptions you might have made when creating your predictive analysis models; the models can become invalid.

Also, the variables of the models might change with changing market trends or time. For instance, the financial crisis of 2008 was significantly driven to by the assumption that house prices would always go up, which was not the case. Banks should pay attention to these assumptions to ensure that their predictions are still viable.

Predictive analysis isn’t a silver bullet for achieving cross selling in banking. Not all variables can be predicted to come up with trustworthy insights. Everything from the weather to the country’s political landscape can change buyer behavior. However, predictive analytics offers a much better solution for insightfully allocating marketing dollars than running financial marketing campaigns on underdeveloped research and half-baked ideas. Predictive analytics can provide financial institutions with a much-needed competitive advantage.

Reach out to our team at Insight Financial Marketing today to learn how you can get started with predictive analytics and how to translate changes in customer behavior into opportunities for your business.

 

A Quick Guide To Bank Deposit Growth

 

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The Metrics Behind Digital Marketing For Financial Services

The digital migration is swiftly revolutionizing the way customers buy products and services. Now that digital banking is used by approximately 51 percent of the world’s adult population, financial institutions should focus on creating a sustainable digital marketing program for a fully digital world. This starts by understanding the applicable digital marketing metrics. The following are the six categories of metrics behind digital marketing for financial services:

1. Traffic Metrics

Traffic metrics are mainly measured and monitored during the traffic generation stage. They are very crucial for both SEO and Pay-Per-Click digital marketing strategies. There are several aspects to consider when evaluating traffic metrics, including site traffic and sources of traffic.

Site Traffic

Significant changes in the overall website traffic can give you an insight into how effective a particular digital marketing strategy is. When evaluating the overall site traffic, you should not only focus on the number of page views or hits your site gets, but you should also consider the number of unique visitors your website gets within a specific period. The more unique visitors your website gets, the higher the probability of acquiring potential customers.

Sources Of Traffic

Identifying where your website traffic is generated from and what specific keywords brought them to you can give you an insight on where you should focus your digital marketing campaigns. If search engines are the primary source of the most traffic, you should focus your efforts on SEO marketing. If most traffic is coming from social networking sites, you should focus more on social media marketing, and so forth. Be sure to explore other traffic sources that may prove to be beneficial for your business.

When evaluating the sources of traffic, it is important to assess both the number of mobile and non-mobile website visitors. As more and more people access the internet through their Internet-capable mobile devices, digital marketers must consider mobile traffic an important metric.

2. Engagement Metrics

Is your website content resonating with your website visitors? After reading your content, do they take any action and, if so, how consistently or regularly? Are website visitors downloading white papers and e-brochures or filling out forms?

There are various ways you can evaluate engagement metrics. One of them is by checking the number of clicks your pay-per-click ads receive. Another way is tracking the number of comments, likes, shares, and reposts on social media. You can utilize Google Analytics to track website and app engagement metrics, including page views, unique visitors, and the average time spent on your content.

To boost engagement, you should consider including at least one call-to-action on each of your landing pages, services pages, email, or any other marketing channels that presents a conversion opportunity. You should also review all of your communication channels so you can identify the ones that are generating your desired response. By doing so, you will be able to determine what to change and what to replicate in future digital marketing campaigns.

3. Retention Metrics

Retention metrics are all about establishing whether you are holding your prospects and customers’ attention beyond the initial contact. You should not only check the number of returning website visitors and social media followers, but you should also take note of the bounce-rate, opt-out rate, and the number of unsubscribes.

If the retention numbers outnumber the opt-outs, it’s a good sign that your marketing message is resonating with the target audience. If the retention numbers are decreasing, you should revise your messaging and align it with your target audience’s needs.

4. Conversion Metrics

While getting lots of traffic to your website is an achievement, it won’t mean much if your site visitors remain just that – visitors. The primary purpose of your digital marketing campaign is to convert website traffic into potential customers. As a financial institution, the conversion metrics you should pay attention to are the number of new account openings and new loan applications you get after launching your digital marketing campaigns.

5. Revenue Metrics

The success of your digital marketing campaign can be evaluated appropriately by revenue metrics. You can determine the Return On Investment (ROI) by assessing the website traffic that eventually converted into new business leads or paying customers. By evaluating this metric, you will be able to identify the areas in your digital marketing campaign that are driving sales and revenue.

6. Cost Metrics

This is where you evaluate the amount you spend to launch your marketing campaigns. You have to consider metrics such as the amount you spend on every direct mail campaign you make, every monthly blog post or newsletter you publish, etc. Be sure to determine how each of your marketing efforts is impacting the bottom line, and then use your findings to plan a viable strategy for future digital marketing campaigns and sales cycles.

Data Is An Asset

Everyone agrees that data is one of the most valuable assets any business can have. It’s not the data itself that matters, but what a company does with it. With lots of data at hand, financial institutions have to rethink the way they handle data to be more customer-centric, and, as a result, more profitable.

 

A Quick Guide To Bank Deposit Growth

 

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