Lending

How Lenders and Agents Can Grow Their Businesses With Twitter

5 mins read
May 26, 2016
By
Total Expert

There are about 310 million active monthly users on Twitter, along with roughly 3,800 businesses worldwide that use the platform. That’s a lot of opportunity for lenders and agents to grow their businesses and reach more clients.

Twitter is different than other social media platforms. Its best use is the real-time communication and live features the company focuses on.

People from all over the world hop on, tweet something out, and off it goes for potentially millions of people to engage with.

Out of all the businesses on Twitter, roughly 70 percent use the social media platform to build their brand, according to a report by HubSpot and Audiense. Just below that, 65 percent focus on lead generation.

Despite slower growth this past year, Twitter has grown increasingly useful to businesses.

Pros and Cons Of Using Twitter

There are some pros and cons of using Twitter as a business, just like using any other social media platform. Basically, what it comes down to is that the platform isn’t growing as fast as others, like Instagram or Snapchat.

Part of that is because newer users don’t always stick around after setting up their account. But, Twitter plans to push a round of updates to make using the social media platform easier.

On the upside, one of Twitter’s most valuable functions is the real-time engagement, which has been given a new angle after the company bought Periscope, a platform for live video broadcasts.

Twitter’s advertising features have also become more effective over the past few years.

Lenders and agents can build advertising campaigns on Twitter to help reach out to their following. Through these campaigns, they can track results when it comes to building their brand and gaining exposure, which has proven beneficial for businesses and clients.

Twitter reported that 74 percent of its users follow small- and medium-sized businesses for future products and updates, while 69 percent are likely to make a purchase from the businesses they follow.

What that translates into is that, in an ideal world, when you tweet out your listing or market updates, some prospective homebuyers will see that post and close with you.

Setup Your Twitter Account

Twitter’s setup process goes fast.

First, go to www.twitter.com to sign up.

After putting in your base information — your name, email and password — you pick a @username.

For lenders and agents, it’s going to be helpful to have your @username be the same as your name on Twitter. Your @username is unique to your profile on Twitter, whereas your name can be changed at any time.

By keeping your name and @username the same, or at least similar, it’s going to be easier for users to find you. Also, be sure to make it something that is recognizable to you. The goal is to be easy to find.

Some agents add “Realtor” to the end of their name, while some lenders include their #NMLS in the name (not @username).

There are times when a business may change their name to promote products or promotions. This helps broaden your account’s reach.

Next, upload a photo, then write a bio.

Your bio is a 160-character description of who you are. You can also include contact information, a link to your website and the location which you serve.

This is the spot for you to differentiate yourself from the swaths of others in your market and explain to your future clients why you are the best. You can edit your bio at any point after setting up your profile.

This spot is a good place for hashtags too. The National Association of Realtors (NAR) Twitter account features hashtags like #Realtor and #RealEstate.

When users search these terms, their account shows up in the search results — which is yet, again, another way to boost your reach on Twitter.

After you’re all set drafting your bio, add your own personal “billboard,” as Twitter puts it. Your header is one of the first images that visitors see when coming to your profile.

“You can feature products, use a graphic with text, or highlight your employees,” Twitter said, giving advice on picking the right header image. “Swap out this image periodically to spotlight promotions, events, or product news.”

Your header is one of the first places visitors look too. Realtors, lenders or brokerages can stamp their logo here, or they can post a current listing to help focus on moving the sale along.

Check with your brokerage or branch to see if there are any specific rules about what your profile needs to list. You may need to include the equal housing opportunity logo somewhere on your profile as well.

When you have your header image placed, Twitter suggests pinning a tweet on your timeline.

A pinned tweet is an important post that stays at the top of your timeline, preventing it from getting lost among your other tweets.

By pinning a tweet, it gives you more space to connect with your followers. You can keep the tweet pinned there for as long as you like.

If you’re new to the neighborhood as an agent, this would be a good way to introduce yourself on your timeline.

It’s also a nice spot to market your brand and drive traffic to your website by adding links to blog posts and landing pages.

If you have a specific listing you are trying to push, pin that to your profile. Lenders, are you looking to promote a new program for first-time home buyers? Pin that.

After you’re done plugging in images and touching up your newly created profile, go follow others in the real estate and mortgage industries.

Start taking note of what others are doing on Twitter and how they use the platform to market their businesses and brands.

Now is when Twitter gets fun. Get out there and engage with people in your community and start building relationships.

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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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