Lending

Purchase Market: Are You Getting Your Share?

5 mins read
August 14, 2017
By
Total Expert

Refinances are firmly in the background for the second consecutive month as purchase loans made up 68% of all originations, according to Ellie Mae’s June Origination Insight Report. To grow – or even compete – mortgage companies and producers must constantly increase their share of the purchase sector.

New data released by industry data and analytics provider Black Knight Financial Services shows that 1.5 million borrowers have purchased homes with less than 10% down in the last 12 months, accounting for nearly 40% of all purchase loans in that same timeframe. While high LTV mortgages are coming close to accounting for nearly half of all purchase originations, there’s a wide knowledge gap about their existence, availability and how they work among the general public.

Consider the following responses from industry professionals to a survey by Genworth Mortgage Insurance at the Mortgage Bankers Association Secondary Conference this past May:  

  • 28% said borrowers believe a down payment of 20% is required
  • 41% said borrowers who know it’s possible to buy a home with less than 20% down believe it’s very difficult to do so
  • 39% said a lack of general knowledge of the home buying process is responsible for first-time home buyer hesitation

We can’t estimate how many more renters would come forward to buy homes if they understood the many low down payment options available and the overall process better. But companies and MLOs can craft messages and communicate this important information not only to increase production, but to educate consumers and help them avoid missing out on this still-favorable interest rate climate.

Systemized, consistent outreach to leads, post close database and sphere of influence has become a minimum standard and of course it’s important to cover the basics and address the common pain points. But companies and MLOs seeking to make it to the next level need to take steps to move their markets rather than just reacting to them. For example, the Genworth survey numbers reveal that industry pros are encountering misconceptions and even fear among consumers, and the specter of the mortgage meltdown has consumers on edge about things like high LTV loans that sound almost too good to be true. It’s time to speak boldly to those concerns in addition to the traditional approach in email, print and conversations with consumers.

  • Sample Subject Line/Talking Point: It doesn’t take 20!

Spread the word that it doesn’t take a 20% down payment to purchase a home. Use down and monthly payment scenarios on your partners’ listings to illustrate possibilities with today’s programs and integrate them into your emails, open house financing information and conversations. Make it known that less than 60% of purchase loans backed by government sponsored enterprises involve borrowers putting down 20% or more. Use this fact as an opportunity to discuss people’s plans in the next few years that may involve moving up, second or vacation homes.

  • Sample Subject Line/Talking Point: We’re not bubbling over.

The public is inundated with mixed messages about the housing market, so be sure to address the many headlines about rising prices that have been swirling about all year. Today’s market is different from the conditions that led to unsustainable appreciation and crises of the past. Solid analysis from experts like S&P Dow Jones Indices managing director and chairman David Blitzer can help: “Housing is not repeating the bubble period of 2000-2006: price increases vary across the country unlike the earlier period when rising prices were almost universal; the number of homes sold annually is 20 percent less today than in the earlier period and the months’ supply is declining, not surging.”

  • Sample Subject Line/Talking Point: Upgraded versions….

Loans and borrowers are higher quality today.  People need to understand that the days of fogging a mirror and getting a mortgage are long gone and the professionals in the industry today care about their clients and their ability to afford a home – not just qualify for one.  The average high LTV borrower of today has a credit score that’s 50 points higher than those approved for the same types of loans 2004-2007.  Even though adjustable rate mortgages are available, they’re not used nearly as often as they used to be:  Fewer than 1% of high LTV purchase loans are ARMs.   Talk about today’s opportunities and future benefits homeownership can provide.

Determining and addressing objections that keep consumers on the home buying sidelines will help craft the messages that mobilize more people into the lead category where you can create engagement with edgy, education-based marketing. A renter can’t get excited about having their monthly housing dollars build equity if they mistakenly believe they’ll never be able to accumulate a sufficient down payment or that home prices are skyrocketing to the point they’ll never be able to afford to buy.

Help consumers past the roadblocks of misconceptions and fear so they can make informed decisions. The best way to increase your share of purchase business is to be involved in creating it.  

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Joe also explains why the human element remains central to homeownership, and how AI is designed not to replace loan officers, but to free them up for more meaningful conversations that strengthen customer trust and drive long-term loyalty.

Catch the conversation to hear how AI is revolutionizing lending and why Joe believes those who embrace it will be tomorrow’s market leaders.

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By Pete Karns, Chief Product Officer, Total Expert

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.

At Total Expert, we’ve taken a different path: thoughtful integration over flashy announcements. As more financial institutions wrestle with what “real AI adoption” should look like, here’s what we’ve learned and what lenders need to consider to get it right.

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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