Customer Engagement

Consumer Sentiment: Use it to Captivate and Motivate

5 mins read
October 12, 2017
By
Total Expert

A new survey showing consumer preferences, motivation and confusion provides opportunity and fodder for mortgage companies, loan officers and Realtors to start discussions that turn into transactions. American Financing polled 1,000 Americans spanning the entire country, various income levels, ages and gender.

The survey uncovered these insights:  

  • Preferred down payment amounts and loan lengths  
  • Specific financial incentives to buy versus rent
  • Confusion regarding mortgage interest rates and debt impact

Each revelation in the Mortgages in America Survey can open a door for MLOs and Realtors to educate consumers, build trust and establish themselves as valuable advisors in the realm of real estate and financing. Consistent, relevant outreach to databases of leads, past clients and sphere of influence is a must in the industry, but more specialized communication can significantly amplify engagement and desired results. Potential variations in results can easily be illustrated in comparisons between generic messages, and marketing that addresses specific consumer sentiment and offers insights and options the public may not realize they have.  

Marketing Smaller Down Payments

The first preference noted in American Financing’s poll was for smaller down payments, where 53% of respondents – including a majority of Millennials, Generation Xers, and Baby Boomers – said they prefer a 10% down payment over 15%, 20% or 30%. The first challenge with email marketing is getting your targets to open it; so consider the potential impact of emails on this topic with each of the following subject lines:  

Subject Line: It’s possible to get a mortgage for less than 10% down…

Subject Line:  Why spend more than you need to?  

The subject of low down payments can fill entire campaigns, so instead of simply publicizing their availability, address the deeper questions and concerns of today’s consumers who know how to use search engines and mortgage calculators. For example, low down payment loans likely require mortgage insurance, so craft generic comparisons between potential equity gains of renters (zero) and home buyers who purchase a median-priced property in your area with 0-3-5% financing over 1, 3, 5 and 10 years using modest year-over-year appreciation rates.  

The ability to see the cost of mortgage insurance offset by equity accrual and the comparison to the guaranteed disappearance of dollars paid toward rent is compelling and far more likely to generate a face-to-face meeting than obvious sales pitches.    

Variations in Loan Term Preferences

The next preference showed an age gap in term preferences with Baby Boomers leaning toward 15-year mortgages and Millennials and Gen Xers preferring 30-year loans. However, both of the following headlines regarding loan lengths can be effective for all ages:

Subject Line: What’s better – a 15 or 30-year mortgage?

Subject Line: Safe-keeping or blocked access?  

Loan terms offer tremendous opportunity for MLOs to showcase their expertise as they help potential borrowers determine what’s best for their personal situations, and involve a financial advisor partner to analyze using the difference in payment between a 15- and 30-year loan payment in ways that can diversify a consumer’s financial portfolio.  

Since most people choose 15-year loans with the goal of paying off their homes as soon as possible, marketing on this topic should also point out the pros and cons of tying up large amounts of equity at current interest rate levels and offer more specific information from a loan officer and other partners.

A Question of Renting vs. Buying

The next area the Mortgages in America Survey deals with is consumer motivation. On the rent-versus-own question, 40% of respondents said it would take a monthly increase of less than $100 to motivate them to take steps to buy a home, while another 37% said it would take $101-300 to get them to consider a move. Which of the following resembles marketing you’ve sent or received?

Subject Line: Should you rent – or buy a home?  

Subject Line: How much is too much?  

Once again, the first example is representative of the majority of email marketing used by MLOs and Realtors. It is on point, but it isn’t very interesting. Tapping into consumer pain – in this case, rising rents and dollars that can never be recovered – is more captivating than the answer to a question posed by someone with an obvious vested interest in a particular outcome.  

Explaining Interest Rates to Consumers

Interest rates offer yet another opportunity for MLOs and their Realtor partners to educate the public. While 56% of survey respondents who plan to buy a home in the next five years pay attention to interest rates, 23% don’t understand how they work and that number increases to 26% in the Millennial segment. You’re likely to lose (or never intrigue) most prospects with a tutorial on the bond market and how it drives mortgage rates; however, explaining how higher interest can hamper their plans is highly effective.    

Subject Line:  1% could cost you a spare room

Subject Line:  How much does waiting cost?  

The public has seen and heard the line, “Interest rates are at historic lows!” for so long that it’s virtually meaningless. But understanding how much quicker rising interest rates eat into consumer purchasing power through real examples gets people’s attention. A decrease in the amount someone can borrow of even ten thousand dollars can require a significant adjustment in square footage and other features buyers want in a home. Scenarios based on your local median-priced homes and realistic potential rate increases can be very persuasive.    

Statistics, surveys and data are released so often that it’s easy for busy professionals to overlook great nuggets of information that can beef up their pipelines and production. Keep an eye on industry news, find the pain and create messages that offer solutions for consumer concerns. Opportunities abound in almost every market condition, so remember – it’s not what’s going on, but rather how you talk about it and whetheror not you get the message out that matters.

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AI is no longer a future state—it’s already here, embedded in everything from ride-sharing apps and food service to factories and farms. In the world of financial services, though, this ubiquity comes with pressure to integrate AI fast, appear innovative, and keep up with competitors—all while being mindful of evolving federal and state compliance requirements. Moving fast without a plan or awareness of up and downstream implications often leads to AI-enabled solutions that either underdeliver or don’t deliver at all.

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Where enterprise AI goes wrong

Too many financial services leaders have experienced what I call “AI failure to launch (and scale).” They’ve rushed to try unintegrated AI-enable offerings and bolt on AI tools—often generalist chatbots, white-labeled versions of generative tools, and/or hooking up to MCP servers—without a clear sense of how these tools will solve their business problems or add potential risk. The result? The occasional value-add result. However, what we see more is poor user adoption, wasted spend, and limited impact.

This is the same trap we saw with “digital transformation” a decade ago, or the original horizontal SaaS applications that evolved or were replaced by vertical-specific solutions. AI-enabled solutions offer tremendous, generational promise but they risk becoming vanity-first, value-later tools. We are focused on the former.

AI that thinks and adapts: Welcome to agentic AI

Let’s make one thing clear: not all AI is created equal.  

Chatbots have been commonplace in financial services for a decade now, but remain rigid, rule-based tools that handle repetitive tasks.  I’ve worked with “AI” services for more than 15 years and each had their own place and potential when used properly. Herein lies the opportunity. Modern lenders that are focused on retaining and growing their customers in an ultra-competitive market need something more dynamic. Enter AI agents that can understand context, adapt on the fly, and speak in a human-like way. These agents are coachable, brand-aware, and learn from every interaction. They don’t follow scripts—they think in real time. And when built correctly, they become a seamless part of your customer experience.

This is the evolution from AI as a support function to AI as a trusted team member.

Total Expert recently launched an AI Sales Assistant that puts this principle into action. It functions as a scalable, intelligent teammate—able to engage leads, deliver personalized conversations, and identify high-potential opportunities—all while staying aligned with your brand voice and compliance requirements. It’s not a chatbot bolted onto a CRM—it’s a fully integrated AI-enabled solution, utilizing data, embedding within workflow orchestration, and playing nice with application logic because it has the necessary context to work within your lending ecosystem.

The real “why” behind AI adoption

Before choosing any AI solution, or any technology solution, financial services firms must ask themselves: What business problem are we solving?

For example, when mortgage rates dropped for a few weeks in September 2024, our customer intelligence capabilities identified nearly $2 billion in immediate refinance opportunities. But no team of loan officers could scale quickly enough to reach every qualified lead. That’s where AI tools prove invaluable—automating first-touch outreach at scale, surfacing the best opportunities, and empowering human teams to scale up execution to drive retention and growth.

Why embedded beats bolted-on

The types of AI-enabled solutions we are talking about can’t function effectively in isolation. Without access to timely and accurate customer data, and invoked within a specific workflow process, it can’t personalize interactions, anticipate needs, or drive conversions at the right time.

Picture an AI assistant offering a refinance to a customer, only to stall when asked for more details. If it doesn’t know the customer’s current rate or financial profile, the experience feels hollow. That’s not just ineffective—it damages trust.

By contrast, when AI-enabled solutions are embedded within a unified customer experience platform like Total Expert, it draws on a 360-degree view of the customer. It knows the data, understands the history, and delivers contextually rich conversations that convert.

This is why we’re designing our AI capabilities with a focus on the unique needs of financial services organizations. The same purpose-built approach has earned the Total Expert platform its unmatched reputation for usability and time to value.

Generalist AI offerings can be a gamble that increase costs—and time to value

Implementing AI that’s not purpose-built for financial services introduces two major risks:

1. Usability failure: Your team must spend months customizing and configuring a generalist AI tool to make it work for your specific needs—if it will ever work at all. For example, imagine you’re a loan officer and one of your referral partners introduces you to a borrower. Now, you have to choose the best way to approach the first conversation with this borrower. There are countless permutations of questions and answers which all require deep personalization, compliance awareness, and consistent representation of the sales processes and brand tone of the lender. Generalist AIs will quickly reach their limitations in these complex use cases.

An industry-focused AI offering will be trained on this specific use case and provided with the context needed to hold a dynamic conversation with the borrower. This type of AI learns and adapts with each interaction, performing the most time-consuming tasks so you don’t have to.    

2. Compliance risk: Without built-in industry guardrails, you’re gambling with regulatory violations and brand safety.  As we know, the compliance landscape for financial services is broad and evolving at the federal and state level.  Look for AI offerings that are regulatory aware and enable you to configure them based on your organization’s risk tolerance and interpretations.

Lenders don’t need more tools—they need the right tools—ones that work out of the box, understand industry nuances, and deliver immediate, compliant value.

Ask these questions before you commit to an AI offering  

To maximize the probability of success, here’s a quick checklist for vetting solutions:

  • Can it solve a real, high-value business problem, and how? Review specific examples and ask to speak with other organizations that have implemented the tool.
  • Does it function as a true AI agent, not a static bot?
  • Can it be deeply integrated into your core system(s), workflow orchestration, and data?
  • Does it include financial industry compliance and brand guardrails?
  • Can it scale without sacrificing quality or regulatory integrity?

Building the future with purpose-built AI

Total Expert has always designed technology with financial services in mind, and our approach to utilizing AI is no different. We’re not chasing hype. We’re solving problems.

Our focus on AI isn’t simply building standalone features—it’s about embedded, intelligent, and deeply integrated AI solutions. It’s helping lenders scale smarter, engage more meaningfully, and turn data into action. Our AI Sales Assistant is just the beginning—an example of how purpose-built, AI-enabled solutions can solve real problems and deliver tangible value. We are already testing and exploring other AI-enabled solutions and I could not be more excited about the current and potential value our clients and our market will achieve.

Because when AI works, it’s not just impressive—it’s indispensable.

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