Target Smarter, Close Faster: The New Way to Grow Agent Referrals

Have you ever spent hours chasing down leads only to realize you've been focusing on the wrong agents? The ones who aren't sending you any real business is frustrating, right? You know that you need to grow, but time and energy are in short supply. Well, imagine if you could pinpoint the agents who are already closing deals, some that are even tied to you right now and know exactly where to focus your outreach to maximize results. You're listening to Mortgage Marketing Radio. The podcast that helps mortgage professionals ditch the old school tactics and get real results in a modern market. My name is Jeff Zimffer. I'm your host and coach in this journey of modern mortgage marketing. And today on the show, we're diving into one critical question. How do you stop wasting time on the wrong people and start focusing on referral partners who are truly aligned with your goals? And to help us answer that, we're joined by Eric Levin, co-founder of Model Match, a platform built from the ground up by recruiters and business developers who understand the real estate and mortgage game from the inside out. In this episode, you can look forward to learning three key things. Number one, how to identify hidden referral opportunities in your own past deals. Number two, why most loan officers are leaving business on the table without even knowing it. And number three, how to build a smarter, more intentional outreach strategy that actually sticks and produces. And there's something surprising we'll uncover. How a quick data search revealed a top agent was unknowingly sending government loans away from their preferred loan officer, simply because no one asked the right question. So if you're ready to stop guessing and start connecting with the agents who can actually move the needle, then stick around for this episode of Mortgage Marketing Radio. Eric Levin, welcome to the show. What's up Jeff? Thank you for having me, my man. Hey, you know, just two amazing minds gathering together to talk about. Where are they? Where are they? I see one with you. I don't know where the other one is. We're here to talk about all things. Mortgage real estate data, big data, perhaps AI. We're here to talk about how model match helps make my life easier as a mortgage loan officer. How's that for a setup? I love it. Are we done? Is that it? Drop them high? Let's put a link in the show notes. Go check it out at modelmatch.com. What else do you need to know? No, seriously, this is a really timely conversation. I was just talking to somebody earlier about being focused with your sales-related activities, because we're all strapped for time. We all want to work more efficiently. We all want to be more productive, right? And we don't want to spend our wheels working with people that we're not well matched with. So I think that's the first entry point for me setting you up for this conversation. And for those who may not be familiar, how would you describe what model match is and does? Yeah, model match. I mean, I like to describe it as full funnel business development. You know, whatever you're attempting to do, especially within this industry that we call housing real estate finance, you name it mortgage, from identification of opportunities through engagement, through a process of action steps, through better conversion, reporting, visibility, collaboration, all of the above. You know, my partner Drew Waterhouse and I started as recruiters. I mean, we were 100% business development. You know, eat what you kill kind of thing, right? And along the way early on, 20 years or so ago, I think both of us independently of each other were probably sitting in little cubicles just working really hard and then thought there's got to be a better way to do this. And not only that, but reaching a point where you think the people that were helping should be better at doing this themselves. This doesn't have to be rocket science. And so, you know, the concept of model match really just started off as, how do you visualize business development when you're a human human, right? People in our industry like to say that one of the things that separates mortgage banking and real estate sales from maybe other types of sales is that there's such a trust factor involved. And I'm curious to get your take on that because obviously you coach and support a lot of high producing and successful originators and leaders in this industry. But, you know, if that's the case, well, then the process of business development is probably a little bit different than if I'm knocking on your door and selling you a widget, right, or something that you have to have. The consumer has options, the originator has options, the agent has options, and so it takes time. But when we started developing this concept of model matching, which was really a process and a verb before it was a SaaS platform, a software solution, it was let's take core competencies of an organization and match them up with opportunities. So the opportunity could be a loan officer. It could be a wholesale account executive. It could be a branch. It could be an acquisition. It could be non-sales for that matter. But you're taking six specific core competencies and matching up those two things. And then once you identify people that somewhat match, enough for you to feel like you should get to know them. How do you follow a process to ensure that you can convert and retain those opportunities? Well, why not manage it the same way you manage a loan traveling through the LOS? You know, when you identify someone through intelligence, and when I say intelligence, I don't mean my lack thereof in my head, but I mean data as intelligence. Well, that's like a prequel. If I'm looking at it like a loan, right? It's not a loan yet. It's a prequel. Once I'm in conversation with someone, I talk to Jeff for the first time. Maybe at that point, I consider them sort of in processing. They haven't agreed anything yet, but we're getting to know each other a little bit better. Once they start agreeing to meet, a time, a date, and a topic. Now you're an underwriting. The value of the person at that level and the funnel is different than the value of the person that's at prequel. It's very different. Same way you track a loan traveling through the LOS. Like I said, once you're at the offer stage, now you're at clear to close. You know, once you hire someone, now you're at servicing, retention, right? And there's different things that have to happen along the way. Conceptually model match was designed to create better efficiencies within that process. Where the gasoline got thrown on it, though, is when our users came to us and said, I love it. It's holding me accountable. I have better efficiency, better conversion, better visibility into the value of my pipeline, but I don't know who to call. And so how did we solution that? Well, we went and invested in the animal S data, the real estate data. We didn't set out to be focused on being top of the food chain when it comes to data and market intelligence, but that is what happened. So the market kind of directed the product roadmap. The market directed the product road, man, I love that you said that too, because I was on a call with a company this morning who we partner with, but it's not not full enterprise. It's relatively big company, well-known company. And the president of that company is now we need to go enterprise. How do we how do we pull this together? And there was a comment that he had made from one of the other executives that said, maybe we should build it. And his comment was, and I took the I'm trying not to say just promote model match, but I do think it's something to think about when you think of yourself as a trusted advisor, maybe. Yeah. What he said was what I love about model match is we kind of get the value of both, because who they've become is because of the feedback from their enterprise and partners. And I love that he said that because that is true. It's where it we're not a static platform where we're selling you numbers and then you go about your business. Hmm. I love that love that setup six core competencies. That was a bit of a bit of a glimpse into that. Let's, let's dovetail this back into as I'm having a lot of conversations with people around the country the past several weeks were now, you know, entering Q2 of 2025. You know, there seems to be a lot of this narrative around what's working and it seems to be and I don't want to sound cliche, but the word fundamentals comes back, right? Always does. And some people bag on that and I get it, right? Because we're in this new world and AI and things are changing so rapidly. But the bottom line is you opened up with talking about what is what you said about this is a relationship business. What was that line? Do you remember? I'm putting on. That was awesome, but I can't remember what it was. Anyway, but the point being is like this is still when it comes down to it in terms of like your referral partners and if you want to differentiate yourself, look, there's a transactional type of an approach in a relational, right? And I myself, as well as many of our listeners are relationally focused, meaning if you're, you know, a transactional would be your buying leads big box, you know, you're running running big funnels and spending money and got your systems and all the and there's it's a volume game. And not to say that you don't do volume as a as a relational person, it's just a different approach, right? So it's like rich Carlton type volume. But what am I, what is this, what am I really saying? I'm saying is I want to use this conversation today to help loan officers be more focused and intentional with who their outreach is to who they're looking to partner with. And I think you guys really help save a lot of time and effort with that. Well, that's the focus, right? Let's put you in a position so that you can go into a platform and you can type in some key criteria and it's going to show you these are the agents that you need to be connecting with in your market based upon any number of things. But who they're with, where they do their business, what type of product mix they generally focus on, is most of their business cash or is most of their business finance? So where are the percentages in those case? For sure, you know, what we've also found is, you know, you talk about AI and AI can mean a lot of different things. But what I like to think about is how much can we continue to listen to the user and then curate information for them so that they don't have to go search for it. So for example, if all they have to do is plug in their NMLS ID as an example and then a system will say, here's the 20 agents in your market that you have some direct indirect property buyer relationships with some connections. So when I show you the property details on the connection with that agent, it tells a story that you can then go tell to help either convert that agent into a new relationship or better yet, pick up more market share with someone you already have a connection with where you don't have to reinvent the wheel. So that's one example of efficiency. No, I love that and that's a great example because I want to kind of go deeper on that because there are several solutions out there for acquiring data on realtors, loan officers, etc. But what I think that I love about yours that I've seen through previous conversations and through what you just highlighted there is like in another world, if I perhaps wasn't using model match, to find that those associated relationships, I would have to run some search queries, I would have to go through a list and I would have to spend some time and effort finding those associated relationships. What you're saying is I can just enter my NMLS and that will immediately connect me with deals I've closed on the listing agent side, the buy side, right? Other things? Right. That's right. Property connections, buyer connections over the last several years. So for example, you did a deal on a property several years ago. That property has now changed again. There's an agent that was involved as the property changed, but you didn't, you weren't involved in that transaction. Well, it's going to show you that story so that you can go back to that agent and maybe reference that property or reference that buyer to be able to engage. You know, our brains are constantly thinking, how can we create and deliver that type of information? But then how can we also put the power user in a position that once they start going down the rabbit hole, they don't have to go anywhere else to keep going down the rabbit hole? You know, for, I'll give you an example. We, I heard a fun use case the other day where a user was utilizing model match to just identify agents that maybe they had some indirect connections with that they hadn't communicated with in the past. And it was, it was working well for them. But then all of a sudden they had, they had pre-qualified a buyer that was a disabled veteran. So we thought to himself, well, I need to get this veteran an agent that they can feel comfortable working with. I, you know, I have an opportunity to refer this to an agent. Well, instead of just picking an agent that they've done business with in the past, he went into model match. He searched for agents in that area. So he took a pin on the map, stuck it on the map right where this neighborhood was, looked at the agents that had done transactions in that neighborhood, then filtered it by the type of agency because he felt like he knew which agencies that he felt more comfortable with. And then he filtered it by VA. So he found the agents that are comfortable with VA lending, right, and buyers. And he referred this person to three agents and let the, let the buyer make the decision. Well, so he ends up getting obviously an agent, a new referral. But he made a connection with two others that are now referring him business. But he went down the rabbit hole just one extra step. Yeah, well, that's called using data smartly. And it saves you all the, you know, manual labor of searching and getting on profiles or getting an Instagram and all that kind of stuff. That's really, really cool. Oh, man, can we talk about that for just a second? I love that you just said that because I definitely agree that a platform like ours, which it does, should show social media links, like we should pull those things in the background so that you can go to their LinkedIn page, their website, their Facebook page, you name it, and also contact information, email addresses, phone numbers, and all that is happening. But I sometimes get a little sideways when I hear about the importance of that connection to social media because the connection to social, in my opinion, isn't important at all. If you don't have a plan for them, what you're doing within that social media connection, what are you actually accomplishing? Or do you just get to look at their great pictures and videos and now you have a new friend on Facebook or whatever? So, you know, that goes back to your comment right about the fundamentals. Those things should help you build a story so that when you do engage with them, your further down the trust funnel is really where you are. Yeah, I love that. So, I'm on your website. Well, of course, link this up, modelmatch.com for people who want to learn more at the end of this. But you have something on there and I might be putting you on the spot, so I apologize. But you're talking about giving loan officers the carrot and the stick and where the closest dollar is right now. Might be something that we were already talking about. Rekindle forgotten arrangements, find agents sending buyers to other brokers and remind strain ones about prior agreements. Can you tell me a little bit more about what that is? Well, it kind of goes back to, wouldn't you like to have visibility into those that are cheating on you, right? The ones that the agents say I send you all of my business. One, in fact, they're not sending you all the business. The funny thing is sometimes, sometimes they actually think they're sending you all the business and they're not. Here's an example. I think you and I talked about this the last time we spoke. The user of modelmatch calls me up one day and says, I'm really happy with you about something and I'm really ticked off about something. So I said, all right, which is it going to be, like give me the good news first, right? So the good news was that he went into modelmatch and he saw that his top agent was not sending him all of her business. And this is a pretty big producer and a pretty big agent. And as he drilled down, he realized that all of the guvvy business was going to other companies. He was getting all the conventional essentially, but the guvvy business was going somewhere else. So we picked up the phone and he called her and he said, hey, I thought I was your guy. What's the problem? Is there something I could do to better compete with these companies? And she said, I don't know what you're talking about. You get all my business. And he said, well, I'm in modelmatch right now and I can see clearly that I don't get all of your business. And he named the companies where he sees the business going. And her comment was, I didn't know that you wanted that business because he had never presented himself that way. And she had remembered from the past how he presented. So I said, well, this sounds great. What are you ticked off at me about? And his response was, well, I looked at her volume over the last two years and I did the math. I said, well, don't take off at me. You take off at yourself. Just be glad that you can fix that going forward. So that's one example. You know, another example that we're seeing huge lift from right now. And you mentioned something earlier about, you know, big, big box consumer direct call centers. You know, the beauty that if you own your own data, you own your own intelligence, you now have the ability to compete with those companies as well. You really can be your own servicing retention portfolio. You can be your own consumer direct. What we discovered, you know, a while back was that we were, we were giving all the transaction details to our users. So you can go back to 2017, essentially, the beginning of one NMLS was being recorded and see all properties you've ever done a transaction with custom date ranges. You name it. And then you can filter by agent filter by market filter by type of product. Okay, that's great. Well, this was really cool for rebuilding your database or going back and refreshing your database. We're also showing things like, has the, is this person still current in their property? Have they refinanced? Did they refinance with you? Did they refinance with somebody else? And if they did refinance of somebody else, you can do the drill down and see where you lost that opportunity. But better yet, why not put the originator in a position to ask for one more thing? I'm going to build a list for my past transactions hypothetically. Go back to 2019, pull all of your FHA VA loans, see the ones that are still current in their home, and then be able to see things like rate loaned value, equity, payoff amount. What are the, what's the valuations in their neighborhood? A number of email address, phone numbers, contact information for the borrowers. So you could then pull 10 or 20 that meet very specific criteria, pick up the phone, make 20 phone calls. There's a pretty good chance you're going to get a new loan out of those 20 phone calls. And so instead of model match or a data tool just being about identifying new opportunities, what about taking advantage of all the old opportunities that you can make sure that you never lose and pick up a new loan along the way? Hey, are you tired of cold calling realtors and feeling like you're getting nowhere? With my agent classes, you don't have to chase agents anymore. We hand you a done-for-you system of ready-to-teach presentations, plug-and-play marketing, and even 200 producing agents to invite so you can double your agent referrals in 90 days or less. Plus, you'll get weekly coaching and a community of loan officers sharing exactly what's working right now. Here's a quick win from one of our members. Been part of my agent classes for a little over a year and totally changed my business. I grew at least 25% and that was during a pretty down market and have only grown every single month that I've kept doing it. Community is great. Jump to the Friday calls. It's awesome. Have fun with that. Teach as many classes as you can. Just do more. Do better. Are you ready to stop chasing and start attracting agent referrals on demand? Book a call at mortgagedmarketing.pro or hit the link in the show notes now back to our show. You mentioned housing data in your local area. What are some of the things you can assist with if I'm a loan officer? I'm looking for deals, opportunities, and just give a bit of context on it quickly is I think of in the past working with title companies where I can pull housing data based on how long somebody's been in the house. There's certain algorithms that allegedly determine when somebody is more likely to sell those types of things, but what kind of housing data could I get using your system? That's a great question and very well timed. We're very close to an update within model match that's going to allow the user to do geographic property searches in a particular market. You can go in instead of just looking at your transactions or any animal SID transaction or any real estate agents transactions to now go into the market itself and say, hey, show me every property in Charlotte, North Carolina that meets this criteria within any customized date range. Then be able to look at those properties and take action on those properties. What we're not pulling in right now are life events, but that is something that we're looking at doing down the road. What would be some of the criteria? Is there like NODs? Is it assumable loans? Is it loan type? What is it? These are more things like product rate, loan to value. Are they still currently in the home? Have they refinanced already? Who is the original lender? What was the original specs on the loan? What's the current loan to value? What's the current equity? What's the current payoff? What's the valuations within the neighborhood of the market that they're in so that you could really do a very pinpointed approach on these are properties that I want to start taking action on in a particular market. All right. Let's get a little bit tactical back to the referral partner side of things. Maybe keep going with a couple of use cases or examples of I'll give you the same scenario. Let's just say I wrapped up Q1. It wasn't where I wanted it to be in terms of numbers. I got a long runway ahead of me to finish out 25 with some big goals. I know I need to grow my I always ask this question of loan officers. Do you need more agents or better agents? The answer is both. If that's where I'm at and I need to get better at identifying the agents that are doing the business and then I'm going to develop some type of an outbound strategy for that. Take me into your world. How would I log in? What would I do in your system to help with that? I'll give a use case that came up recently when I was traveling and speaking at an event in Idaho not that long ago. This company was talking about their goals for the rest of the year. How much they want to grow in volume for the rest of the year and that was going to be a combination of new headcount, new loan officers, new branches, as well as an uplift with the originators that they currently have. I threw up a statistic on the screen and the statistic was in major metro markets, so decent size MSAs. The top 20 agents in those markets refer on average to almost 18 different originators. Pregnant pause on purpose? Exactly. I can tell you the owner of the company where I was speaking. I sort of felt him choke a little bit. Here's the beauty with that statistic. The gap between you and your goal might actually be just as simple as looking at the agents who are already referring you business and increase your market share by 5% with each one. That's it. How is that going to work? You drill down, you look at the properties that they're generally involved in, you consider what's your value proposition. If you're really strong VA and you're only picking up a small percentage of this agent's VA business, target VA. If there's something else that you're doing with co-branding or co-marketing campaigns, target those campaigns. If you feel like doing a lunch and learn and providing some additional education might get you one more unit of quarter, do that. You should know your agent's well enough, but the data will kind of be the roadmap or the guide to show you what to focus on. Jeff, if you think about it as an originator, let's say there's 20 agents that are on that list. If those 20 agents would send you two more units a year, there you are. You probably just surpass your goal. It doesn't have to be rocket science. It doesn't always have to be. I need more agents. Many times it's as simple as you just need to get more market share from the agents you already connected with. You've done the heavy lifting. They trust you enough to send you loans. Such a great point. I've definitely proved that out with various conversations I've had with loan officers who do 100, 200 loans a year. If you look at their production count from how many realtors did they get those 100, 200 loans from? It's about 150 agents. Sometimes half of that, but to your point earlier, most of the high unit loan officers work with a large group of agents. They're not getting 20 deals a year. In most cases, they're getting 3, 4, 5, 8 times. However, many agents they're engaged with. Going back to the how can you pick up more market share, there was a user that told us they were putting a campaign together where they were pulling all the agents that they had done transactions with over the last 24 months. Then they scrub that against the agents where they actually physically went to the closings and they were able to identify a fair amount that they had not gone to a closing with yet. All they did to start was, these are the 10 agents where I'm going to start going to the closings and what did they find? They found that that agent started referring them more business. That's a good play for sure. Let's take this a step further. We're talking about leveraging your platform, scrub, data, fine, targeting, agents. Who are you aligned with? All the stuff we talked about already. I know this sounds like a layup for you easily, but I really geek out on this stuff and I think in a continuum, meaning we've got somebody who can access data and agent information and do all the things we talked about. But then for many, there can be a drop off because it's like, well, what do I do with that now? How do I manage it? How do I organize it? I think whether they're using your CRM, you've got one built in or they're using their own, how are you seeing LOs now use that data once they have it? Yeah, great question. So we started off without data. We started off no NMLS data, no real estate data. It was fully actionable. It was 100% actionable first. Identify opportunities in other ways. Many times looking at the other side of a transaction, getting a name and contact information, typing it into a pipeline, into your funnel, so to speak, and then beginning to take action on that. When the data came after, it really became very easy to identify opportunities and then push them into what we had already built, which was a contact management platform that really was the foundation of model match. Where now you can segment by projects, you can segment by the type of people. Once you pull them in up at those projects, you're picking up contact information, social media links, we're fully integrated with Gmail, with Outlook, so you can text directly from the software, you can build text sequencing from the software, you can make phone calls from the software. So if you're really a power user and you want to now manage everything you're doing inside of the same environment where you're pulling in intelligence, you can absolutely do that. You can filter, you can sort, you can report by any number of things. What stage they're in, tags that you may be adding, you know, tag somebody priority, tag somebody guvy, tag somebody, you know, top agent, whatever you want to tag them. But then also partner with everybody on your team inside of that pipeline. Be able to communicate with each other inside. Again, Jeff, think of it like the loan traveling through the LOS, right? You wouldn't be in a system where the loan officer can't communicate with the underwriter. You wouldn't be on different systems. So same concept with the contact management platform and the reporting environment that we built. However, this, you know, this is the mortgage industry. What we also recognize is there are CRMs that companies have invested in and they like to use some of them, they've built themselves, some of them off the shelf. So we've opened up integrations to be able to directly plug in to those CRMs as well as well as, like I said, Gmail, Outlook and other functionality also. You know, the power users aren't just identifying opportunities and then on, by the, you know, flying by the sea of their pants engaging with them, they're actually tracking it and then looking at their conversion rates and then building validating stories out of those things. So that when they communicate with the next agent or the next recruit for that matter, they actually have a story to tell. Wow. Very, very cool, man. What's on the roadmap for you guys? You've got some releases coming. There's a little stuff. I think maybe behind the scenes, you guys where you and I were talking about on the last call, AI, something related there. But what do you want up for listeners who are now curious? They're salivating. They're like, okay, I'm curious. We're going to talk about like pricing and how this builds out in a second. But anything you want to share before we switch into that. Everything we do moving forward is another step towards greater efficiency towards the ability to do more business in the same amount of time or the same amount of business and less time towards the curation of information. We're also building out pretty large reporting platforms inside of model maps so that you can go in and do comparative analysis from geographic market to geographic. So think of the enterprise now, a CEO, a president, maybe ahead of digital marketing that wants to work on some campaigns, all of that happening inside of the app. Something else I'm really proud of. And Jeff, remember, you're talking to a dude that could barely use his iPhone however many years ago. This was the concept and the idea might have come from myself and from Drew, but it's the wizards like our head of product, Thomas Hillbinder and his development and engineering team all in the United States, all W2 employees that understand this business and understand the user. What I'm actually most proud of is that our platform never has a summer break. We're always evolving. We're always adding new features, but we've also made some really hard decisions, financial decisions, timing decisions to be able to build and rebuild in such a way that puts you the user in a position where you have no performance issues. I think I just saw that we are pulling in over 400 million transactions into model match right now. And so for the user to be able to say, I want to see this, this, this go. And for it to populate quickly, you can't do that if you're not built from the ground up on your own, SaaS. It can no longer be just data visualization. Right. Okay. So let's do this for the listeners who want to learn more, right? There's a link in the show notes model match.com. What I like about this is that is that you've got various options for people across the board based on where they're at, whether they're just wanting to start out and get access to data. And of course, depending on who's listening, maybe you have a platform available from your company. That's great. Hopefully you're using it. But if you don't, this is why I wanted to bring Eric on is because I've seen probably most of the platforms and it's very impressive the way you guys have integrated it all into one seamless like your user dashboard, the UI is like crazy, easy, simple, beautiful. So shout out to your designers and engineers for that. But you've got different plans of people can interact. So I want to encourage people to go check it out. Like it's, it's like if you want to get started just on a, you know, on a base level to get some basic transaction data, it's definitely there. And if you want to scale up and do other cool automations and integrations and texting and all that, well, that's there too. Depends on where you're at and what you need. But I think my headline is why I wanted to bring you to the conversation is again, go back to what I opened up with is, you know, how efficiently are you working with your time, right? We only have certain amount of time in the day. I think you said this earlier is working with the right people who are doing the right, the transactions, right? And so that's the first place you got to start with is your outbound efforts are there was going to be right of your highest and best use. Yeah, for sure. Are they matched to you, your criteria and your company's criteria? And thanks for bringing up the various plans. You know, we, we don't have a sales team. You know, we're completely product focused right now. We were not at conferences spending 20 grand to set up booths and hand out kuzis. Like, if you want a kuzi Jeff, I'll go get that created and I'll send you a kuzi, my man. But I'm not, you know, that's not we're spending our money on the technology. We're trying to make all of our investments pushed back into the app to create more efficiency for the user. And along the way, what we found was we had people calling us saying, right, I'm not with a company that has an enterprise solution with model match. I need just need these couple of things. It's like you go to the pizzeria and you're like, I don't need the whole pizza. I need, I want to slice the cheese right now. Well, our wizards on the engineering and development side were able to permission control our technology in such a way where we could offer that. If all you want is local real estate data as an example, well, you could sign up for that and you could get it. What we find though is that around 80% upgrade within the first 30 days because they start using and adopting the platform enough where they want the other things, Jeff, right? They want the integrations. They want the export functionality. We also provide full export functionality in our premium level. So the other thing that we offer is a 14 day free trial. So if somebody wants to go test drive the machine, they can do that. 100%. That's what I recommend y'all go do model match.com. Link in the show notes. Eric, thanks so much for bringing this technology to life for our colleagues in this industry. And then for making time from your busy day. Thank you. And look, Jeff, I lean on people like you and you hear from from those that you coach and you consult and you think, boy, it sure would be cool. If model match did X, a lot of times I find out that the answer is, well, we actually do that. I just need to show you how you can do it within the platform. But sometimes it's that we don't do it. And that becomes a use case that then we stick on the road map and before you know it, voila. Voila, there it is. Well, listeners, you know what to do. Check the link in the show notes and hope you enjoyed this episode. We'll see you on the next one. Bye for now. Okay, that's it for today's episode. Before we wrap up, I just wanted to remind you about my agent classes. You're proven system to double your agent referrals in just 90 days. Imagine never having to co-call again, instead building real lasting relationships with top producing agents who want to send you business with done for your presentations, marketing automation, weekly coaching. It's all designed to make growing your business easier and fun. So if you're ready to take control of your agent referrals and grow your income, visit mortgagemarketing.pro or check the link in the show notes. And while you're there, don't forget to check out the success stories from other mortgage bros who've already seen incredible results. Thanks for listening and I'll see you on the next episode.