Last week, FINTRX and Milemarker hosted a webinar featuring Russ D'Argento, CEO of FINTRX, and Jud Mackrill, Co-Founder of Milemarker, to discuss how firms can leverage AI-driven data intelligence and strategic data management to drive business growth. The conversation covered AI’s role in advisor recruiting, real-time wealth data’s impact on business development, and strategies for optimizing outreach, M&A efforts, and operational efficiency.
Moderated by Jessica Perez, VP of Growth at Milemarker, the discussion highlighted how FINTRX delivers cutting-edge private wealth intelligence, using AI-powered insights and automation to enhance advisor recruiting, capital raising, and business development.
Milemarker, specializing in data control and integration, partnered with FINTRX to help firms streamline data management and optimize recruiting and investment strategies. The webinar showcased how AI, automation, and real-time market intelligence are transforming private wealth, enabling firms to identify and engage high-value targets more efficiently.
✔ Provides real-time, AI-driven insights on family offices, RIAs, broker-dealers, and advisor wealth teams.
✔ FINTRX direct CRM Integrations (Salesforce, HubSpot, Snowflake & DealCloud) ensure seamless data management plus custom data feeds and API.
✔ AI-powered tools (AI Search, AI Analyst, Relationship Path) enable data segmentation, SEC filing analysis, warm introductions and more.
✔ Integrates FINTRX insights into customized data warehouses.
✔ Supports advisor benchmarking, investment trend analysis, and strategic decision-making.
For those looking to enhance their data strategy, improve advisor recruitment, or optimize business development, leveraging FINTRX and Milemarker’s combined capabilities is a powerful step forward.
Jessica Perez (00:00): Great. We are at the bottom of the hour. I'm going to kick us off and get started while people still join and attend. I will have our guests just share a little bit about themselves, personally. So I'll kick off with you. Russ, tell us who you are and what you enjoy doing in your personal time, hobbies and interests.
Russ D'Argento (00:17): Sure. Great to meet everybody. I'm Russ D'Argento, founder and CEO of FINTRX. In my spare time, I think on a nice day, you'll most likely to find me out on the water somewhere. I really enjoy being outside, being on the boat fishing, and spending time with friends and family doing that. I used to be golf, but I think as the company's grown and it's taken a lot more of me personally, being out on the golf course for four or five hours just isn't in the cards anymore. So quick shoots out for sunrise or sunset is where I find my happiness outside of work.
Jessica Perez (01:00): If you could go anywhere in the world, where would you go? Bucket list item? Place to visit
Russ D'Argento (01:06): Greece. I have yet to visit Greece. That's certainly on my list. I hope to get there at some point.
Jessica Perez (01:15): Same. I mentioned the same one. I want to go to Greece so bad, so I have to figure out that trip. All right, Jud, who is Jud? What do you enjoy doing when you are not working?
Jud Mackrill (01:24): Yeah, hey, Jess. Well, yeah, I'm Jud Mackrill. I'm a co-founder here at Milemarker, and when I'm not doing Milemarker stuff, I'm probably not too different from Russ. I don't golf. I've never tried golf, really not in a proficient way. And I live down in South Carolina, although I'm not there today, we'll hit the water quite a bit and saltwater fish and just enjoy that away from screen time. It's relaxed. So that's probably what I'm doing.
Jessica Perez (01:58): All right, well, I am Jessica Perez. I'm your moderator here today and in my free time, you can find me outdoors as well. I love all things camping, and fishing, we have a side-by-side, so we go out and do that. I do drive a little bit when my husband's feeling bold and brave and wants to relax. He won't let me drive. He will drive, but that's a little bit of fun as well. So we are excited to have you guys join us today to learn a little bit more about FINTRX and Milemarker and the partnership that we have, but really to help you guys in the way that you see the world when you think about recruiting, adding advisors, scaling in your business and growing. There are so many conversations being had today, so we want to share some additional information on FINTRX with you guys and why we love partnering with them.
(02:41): I will tell you from a personal business use, I shared this story with Russ and his team not that long ago, but I have been an independent consultant before and I forced one of my clients to actually switch from their previous company and go into the FINTRX platform. I wrote it into my contract and made sure it was non-negotiable. That's how passionate I am about the FINTRX platform. So we're really excited to have you here today, Russ. Thank you so much. And as we kick off, tell us a little bit more about FINTRX, why you started it and why. Oh, sorry, go into that one first. I thought it was Russ first, but we'll go with you Russ first. Tell us a little bit more about FINTRX.
Russ D'Argento (03:19): Sure, yeah, absolutely. FINTRX is a leading source for private wealth data intelligence and really combines AI-driven insights with an incredibly accurate and wide comprehensive dataset on family offices, RIAs, broker dealers, wealth teams, really anything that touches the private wealth market. Our clients rely on FINTRX data to distribute their funds much more efficiently to the wealth channels and really try to pinpoint whether it's recruiting opportunities or advisor M&A opportunities to really engage the right people in the right prospects at the right time, which is all really kind of designed to provide our users with intelligence that they can rely on day in and day out to act decisively and grow their business. So that's what we focus on. And I would say our bread and butter from a data asset standpoint is the single and multifamily office channels and then the independent advisor slash wealth teams within those advisors, which we can talk about in a bit. We spend a lot of time there helping our clients distribute their offerings and raise capital.
Jessica Perez (04:35): Russ, because you mentioned clients who are your clients, who are the typical people who are coming to FINTRX so that way people on the line or people who are tuning in today can start to get a better idea. I believe a lot of different industries and well companies in this industry can utilize FINTRX, but who are you guys finding the most coming to FINTRX to utilize your platform?
Russ D'Argento (04:55): Yeah, it's an array. It's a big market out there. So I would bucket it maybe into two or three tranches. So first you have kind of your asset-raising bunch, which is I would say if you throw a blanket over it, it would be hedge funds, private equity firms, venture funds, real estate funds, credit shops, that kind of whole conglomerate there, and there's a long tail to that as well. And then the second bucket is much more around reaching the retail wealth channel. So that tends to be ETF providers, traditional asset managers, mutual fund providers, kind of these hybrid asset management shops, which is a really fast-growing space, especially in the ETF channels. And then lastly is kind of this development of business. So this biz dev arm is really focused around what Chubb mentioned, advisor m and a, recruiting from the wirehouse channels.
(05:56): And we do a lot from a customer standpoint with wealth tech firms and FinTech firms and even some service providers that are really trying to grow their business or their offering or service, whatever that might be. So it might be a platform like ours where they're looking to really try to target the family office market or the investment advisor market to sell research or subscriptions or whatever it might be. So we internally really kind of think about it in those three tranches. And then within there, there's a lot of nuance depending on the size of the firm and exactly what they're trying to accomplish. But I would say to wrap that up, anybody in the financial services market who has a need to either access or sell into the private wealth channel, which is a very opaque world, we can really help and add value to.
Jessica Perez (06:53): Awesome. Alright, Jud, tell us a little bit more about Milemarker for those on the line who haven't heard about Milemarker
Jud Mackrill (07:00): As well. Yeah, thanks Jess. Milemarker is a firm built to help firms own their data and control their destiny. Fundamentally, we believe that RAs and independent broker dealers and the rollups and the private equity shops that are investing in them all need to be able to reestablish control over their businesses by owning and controlling data. And that's what Milemarker helps you do with ease from having your own data warehouse to connecting the APIs and services that you use today to displaying and understanding key metrics around how your client relationships actually factor when it comes to profitability, when it comes to cost of business, when it comes to advisor success and comparative analysis, biomarkers are real, a really great foundation for that. And then it brings with IT streamlined workflows, subjective analysis and advisor experiences that we find are really bringing a lot of joy and control to the advisors and firms that we get to serve every day.
Jessica Perez (08:07): Thanks. All right guys, let's dive into this and start having a conversation. Jud, I know that you have worked with Russ and FINTRX for a few years now. Let's talk about your experience with that. How'd you find FINTRX and share with people what you love about it? Before we have Russ answer a couple more questions for us here.
Jud Mackrill (08:25): Definitely. I've been working with a lot of data services for my entire career. I was the CMO at Orion, the portfolio accounting company, and there I was licensing discovery data and trying to make this data work and we would clean it up and a lot of times it was really old and not accurate. We'd have to run it through data hygiene and things like that and it was useful, but we had to, it was data plus our own work. And then left Orion did a bunch of work with large asset managers, was kind of bringing similar services to those customers and then wound up going in-house at a company called Carson where Jess and I met and we're working to recruit advisors there to join our national RIA. And so data is always really important in who we reach out to, but we really realized that there was a big delta between the data and quality data.
(09:28): Good data is a completely different thing. When I left Carson, I started doing private investing on my own and then I worked with some partners to build a fund. And with that fund we wanted to distribute it. And so I quickly was looking at where do I go to really work with private funds opportunities and how do I find that FINTRX came up quickly and I jumped in right away because the data was superior. I was able to understand exactly who is allocating toward my asset class toward my nuanced asset class. It was a venture health science and people that could do early stage on that. It allowed me to go deeper into exactly who the people are to talk to, and it helped me identify the people that I maybe had an affinity for because we maybe went to similar alma mater, we maybe had similar hobbies.
(10:21): All that information was at my fingertips. And then it started to give me prompts on icebreakers for awkward people like myself that are introverts who aren't good at that stuff. It's like, Hey, here's what you should do if you want to talk to Russ about investing in this private credit fund. And as I looked at that, I also then looked at all of our other clients at Milemarker. I'm like, shoot, you all need to have this. And I've just watched this product get so much better in terms of the deep value it has in terms of its ability to listen to the customers and build things that I think are increasingly useful to our Milemarker clients. So we're big advocates of FINTRX and we're excited to see more of our clients adopt it and then use it in the data-sharing context of what we offer. So I'll stop there, but yeah, excited to help people use trics.
Jessica Perez (11:16): Same. All right, Russ, we're going to kick it back over to you right now. Talent is hard. It's a conversation everyone's having. You're seeing it all over LinkedIn, finding top talent. How does FINTRX help people with talent acquisition? Finding good people within their firm?
Russ D'Argento (11:33): Yeah, we do a lot in that space in advisor recruiting. It is highly competitive. It really is. And finding and sourcing top, whether it's advisors or teams as a group, really takes what we consider the right data at the right time. So we spend a lot of time tracking not only where people have been in and around their career, but what they do outside of work, what they do in their practice, and what they focus on in terms of the types of clients that they work with. And we really use that data to present it back to our users, especially those that are in the recruiting and m and a space where if they're trying to fill a specific gap might be financial planning or advisors that have a big or large book of business of clients that are whatever, very ESG focused or even things like athletes or doctors.
(12:37): So when we think about that, we're able to offer that information back to the user to use to kind of recruit the right advisors that fit their need at that particular time. And I would also say it can be a little bit of a tricky and nuanced piece when you're providing data intelligence like we are for the use case of recruiting because we have all of this comprehensive data and intelligence on these individuals and the firms and the teams and all of that information as it pertains to contact information rolls up to their corporate contact information, like their corporate email with the firm that they're at. And naturally, if you're recruiting someone and you don't want to email them or contact them at their corporate email, so we've done a lot of work to provide some of that soft data, some of the personal email addresses and other means, LinkedIn, et cetera. We have an integration there or plugin to allow us to offer that type of avenue to contact these folks from a recruiting standpoint that we were not able to do prior. And I think that's made a big difference for us to be able to offer a data set that's super valuable to that market.
Jessica Perez (13:57): We use the wealth teams a lot. Can you want to share a little bit more about how we have found that that was very valuable for other companies that are looking at that feature? Because that ties into the recruiting piece of it, but I find that that part of it is really helpful.
Jud Mackrill (14:10): Yeah, no offense if you're at Ameriprise or Morgan Stanley on this webinar today, but most of our customers are competing with you. So we're helping them get clear information on the teams that are in part of your organization that actually have a best shot in alignment with the IRS that belong at our customer's firms. So we're helping guide them into selection. Instead of using a shotgun, we can use a rifle to get really narrow on where we're going to exactly the type of opportunities that you want to invest your time in because partnerships and they just take time and you'd rather spend your time focused with them, understanding these folks really fit us and not wasting your time praying and spraying, sending out mass emails to the whole industry. You should know how to build relationships and FINTRX is like playing T-ball in that you can understand these folks and then go after that. Go ahead. Go Russ.
Russ D'Argento (15:18): Go ahead.
Jud Mackrill (15:19): One thing I was going to say, is that's a newer feature.
Russ D'Argento (15:21): Yeah, it's a newer feature, but not only that, you're also able to, and this is kind of a newer feature on the base feature, but to your point, Joe, get very, very specific within our platform as it pertains to the exact cohort of advisor that you're trying to recruit or to get to. So that's different for everybody, but you could go into our product and say, Hey, I really want to dial in and you can type this out into our AI and just regular sentences without the filters. But you could say like, Hey, I want to target advisors that have been in the industry more than seven years and have been at their same firm for five or more years that have a CFA and currently work at an RIA, that's over a billion in assets that have X, Y, Z. So you can start to build out these dynamic cohorts of recruiting targets and then within there you can analyze them down further. So you don't do that spray and pray technique but get very, very targeted. That's been a game changer I think for most of our clients in that channel.
Jud Mackrill (16:27): And you can also be like, I want people that like the LA Dodgers, I have all these criteria then this other completely subjective thing that you have data on and it allows you to get really selective with who you spend your time with.
Russ D'Argento (16:44): Yeah, totally. And I think that is a great point in just terms of the ethos of I think how your firm and how you used to use it. And many of our clients in this channel will use FINTRX, right? It's not about that base data. We think that is table stakes, who works at what firm, et cetera. A lot of it is about building out what we call softer metadata profiles on these individuals and firms, but on the individual side, it's not just who they are and where they've been, it's where they went to school and when they went there and who else in the industry graduated with them that they might be trying to get to and who did they know on LinkedIn and what does their network architecture look like and what are they passionate about outside of work? And all of these things that you can use to humanize the dialogue and the outreach to remove that layer of cold prospecting and really warm it up and humanize it. That is where regardless of what your use case is, whether you're recruiting, raising money or having a warmer approach is always better than taking a cold angle.
Jud Mackrill (17:57): One thing I'd add to that, Russ, is that if Jessica and I are both doing sales here at Milemarker, we have a profile inside of FINTRX and FINTRX will actually say, Hey, here's this based on the data and criteria, here are the people you should be talking to. But it'll actually tell me, well, Jessica's actually a way better person to connect. She has way more in common with them than I do, so let's do that versus me or vice versa. And that's just a really hard intangible problem to solve. And I as a designer really appreciate the touch that that is. It saves a lot of time. It really is very valuable and I found it to be true in the engagement opportunities.
Russ D'Argento (18:40): Yeah, I think that's well said. Yeah, I think that's well said. That's called our relationship path feature, and for those that are not aware, it essentially uses AI and with a single click of a button will ingest your network, everyone else at your company and their network and then really kind of compare that to either the individual or the firm that you're trying to make headway into or you're trying to start a dialogue with and programmatically maps that and says, Hey, if you're trying to get to this firm, here are the three people that we think are your warmest path and here's why. And to Jud's point, that's a very useful tool that prior to using our platform, most of that was being done in a manual effort and it's pretty arduous to do that. So everything we do kind of boils down to the same through line and that is how can we save your time, give you more accurate data and get it to you faster?
Jessica Perez (19:41): So you talked about it a little bit, Russ, and we'll just dive in and start navigating it. AI is all the rage right now in the industry. You can't go to a conference, you can't tune into LinkedIn and anything else and not talk about ai. How is FINTRX seeing AI and adopting ai? You mentioned a couple of little pieces, but I feel like they were hidden inside of your conversation because there's a lot of ways that AI shows up in vetrix that I utilize it every single day that makes me better at what I do. So I want you to talk about AI and vetrix a little bit more.
Russ D'Argento (20:14): Happy to. So we are a very tech-forward firm and have been building with AI for at least a couple of years now. I would say over the past 12 months we've really accelerated it with some of the launches of some of the models that have come out. So we view our data asset at FINTRX as really an incredible corpus of data that we have built AI around in almost all facets of the business, certainly on the aggregation of the data and kind of that first layer and pipelining it and cleaning it and slotting it and taking away some of the inconsistencies on maybe the filings and things like that. So we do a lot on the back of the house when it comes to ai, but I think what you're asking is much more about inside of the product. So we've done it in a few different layers.
(21:11): This is something I'm really passionate about and have studied and continue to study a lot, and that is how do you integrate this beautiful new technology that we all have access to now natively inside of your application or your product or whatever you're offering, where it feels natural and native and it doesn't feel like it was bolted on as an afterthought. And so we've done that in two ways. The first layer was AI search, which Jud and I were just chatting about a minute ago. And that is basically we have millions of records in our platform, which ranges from family office firms and contacts advisors, all of the 13F filings and ETF holdings and direct investment tracking and all of this data throughout the Wealth channel. It's very large. And so of course with that we have all of these filters. So you can go in and plug in specific filters based on what you're looking at.
(22:05): We have about almost 350, maybe 375 unique filters. AI search just allows you to ask questions. You could say, Hey, I'm traveling to New York. I want to meet with independent advisors between 1 billion and 3 billion in assets that have been around five years or more that have less than 15 team members and are active in X, Y, Z asset class. And by the way, just the ones that custody with Schwab. So you can ask that in natural language grounds that query and then delivers back to you the results. So that's kind of the first layer that we took. Searching the corpus of data, which is actually much more complex than it sounds because it has to really understand and be trained on the intent in our world, as you know, just has so much nuance to it, like what I call marketing or you call advisor, someone else is referring to a person, someone else is referring to a firm.
(23:03): So that is the first leg and we see that as one of the most commonly used pieces of functionality in our platform across users of all sophistication. And then the second is something we just launched called AI Analyst, which is incredibly powerful. And what that does is just allow you to draw insights and organize information and save your tremendous amount of time on the firm or contact or rep level. You can say things like, Hey, break down their actively traded ETF portfolio and find me trends or Hey, parse out for me just the new ETFs. They've purchased net new in the past two filings that were not present prior. And then there's a lot on the recruiting side, and I know that's a pointed piece of this discussion today where AI analyst becomes insanely valuable. So if you're looking at a firm, it might have 150 reps within the firm, you can just say, Hey, for our use case for the type of people that we're trying to get to, who are the best contacts here for us and why?
(24:10): And so it learns and knows exactly the type of advisors you're trying to recruit, what the profile is of them. It knows and learns the types of firms. If you're doing m and a advisor m and a, what those firm profiles look like from an AUM to growth rates and all of these things. And then it kicks back to you that data pretty instantly and saves hours and hours of laborious work. So we do a lot on the AI side. It's a key component of who we are as a business and it's certainly the future of where we're headed and we continue to stockpile AI engineering talent and data science talent to support those efforts. And yeah, we're really excited about it.
Jessica Perez (24:55): Yeah, I'll ask you the same thing. When it comes to ai, how is Milemarker looking at that today and in the future?
Jud Mackrill (25:01): Yeah, I mean we're an AI enabling entity because it's one thing to have your AI in a third party like tric, which is incredibly powerful, but you ultimately want to bring this information down into an area where you can then start doing deeper analysis beyond your imagination. Really. I think that's what prompting is allowing us to do is unlock our imagination to say, had never thought about this. Aaron is a friend of mine and one of our customers, he had a good question in here about why I would want to bring this down into Milemarker into my data warehouse? And that's really to look at differently, there's so much detail around what advisory firms are doing and what their allocations are, who's growing quickly, and how do we start to do real-time benchmarking so that we can be better than that? A lot of times people have used exceptional case studies to say, this is how it all is here, but that reality is not usually that, right?
(26:00): The reality is somewhere in the median, how do we start living in that real data and understanding what's really truly growing? The firms that are growing, how much are they allocating toward alternatives? How much are they in fixed income? How much are they doing all these interesting things, but then how are my advisors doing? What are we doing? Because there's such a tremendous opportunity for us to start having a proactive approach toward our own teams to say, guys, we're doing a lot of things that are just more romantic ideas than true business things that we need to be doing to serve our clients and grow our business. And so this data allows you to do that at a macro level subject to your unique situation. And it's a cool thing because it is great feedback to look at what's not in FINTRX and then to reach out to Russ and his team and say, Hey, here's what I'd love to see because they're constantly looking at adding new features in all of this stuff. And then what we do I'd add is that our customers are able to connect to whatever AI agent on top of their proprietary data at will, whether that's through a third party that's industry-specific or through your open ai, Microsoft copilot. We can do that all securely and I'll just learn on top of your specific data, but happy to connect you with our team to learn more about that too.
Russ D'Argento (27:23): Jud, a question on that, just to follow up. As you've been implementing AI throughout Milemarker and sounds like you're allowing different models to be chosen by your end users, how have you pushed past the issue or friction point of maybe some user sophistication and how to use and prompt AI versus others who really know their way around it? One thing that we've done to do that on our side is just spend a tremendous amount of time on pre-prompting single-click actions that allow the user to have zero expertise required to get a tremendous amount of value. Click one button and it does X, Y, Z thing, click another button and it solves another problem. Even though a thought-out, well-structured prompt, which I think is still very nascent today and will become a lot more common, that's how we've tackled it. I'd be curious to know how you're doing that at Milemarker to make it easy for the customer.
Jud Mackrill (28:27): Yeah, we're really biased toward using the tools you probably already paying for, and so that's how we're doing it today. But we will be doing a lot more in the future. A lot of our AI in particular is being used to transform data in a really rapid way. We can now take any sort of data and rapidly transform that to be usable, to be structured inside of your environment. I'm going to share a screenshot I just made while I've been on here anonymized, but I just went into FINTRX just now and we had this question about can FINTRX help me see digital assets? And I'm like, can FINTRX help me see digital assets? I don't look for that. So I went in here, I used the AI prompt and I looked at this and I found that there are 878 advisors that fit this New York City metro area of being an advisor and wealth management that are using this, and they're in different 30 firms, 12 wealth teams, and I have this information here. It took me no time to get that sort of thing. This is literally my problem. Help me see advisors in the New York City metro area that hold digital assets. There you go. So this is a very empathetic use of AI that anybody can use, and it's very successful for directing my path if I wanted to go out and go after those folks.
Russ D'Argento (29:51): Nice blur job there too. They look like NFTs, which is nice.
Jud Mackrill (29:54): Yes, exactly. Exactly.
Jessica Perez (29:59): All right. Russ, a question for you. The market moves fast, the industry is moving faster, and data changes all the time. How do you guys help people stay up to date, with real-time insights? I get emails from you guys, you guys have the action items on movement in the marketplace. So talk about how you guys help people stay relevant in a world where there's so much data moving and movement in our industry because I think that you guys have cool features around this.
Russ D'Argento (30:25): Yeah, totally. It's something we spend a lot of time on and we find it to be super important. So the difference between oftentimes we talk to our business development team about this constantly is speed to action on whatever it might be. It could be a lead, it could be a piece of news or content, or it could be a press release or somebody's mentioned in a news article, whatever it is, you want to be the first to have that information or somebody breaks away from a wire or stands up a new firm. All those things are really great, powerful, actionable points that can be used to do whatever you're trying to accomplish. It might be sell something, it might be to a current client and you want to be abreast of what's going on and make sure you're staying on top of it. So we do a lot with automation there that casts a very, very wide net programmatically that ingests thousands of articles a day, press releases, new filings, et cetera.
(31:23): And then we have models that sit on top of that that will kind of carve through it, find relevant pieces, and then our research team sits on top of that as a quick final layer before that data gets out to our users. But all of that is designed to just really ensure that our end user hands down has access to the most timely and actionable data possible that is forever our mission, get the accurate data in a timely manner to our user. So before the advent of some of these programmatic ways that we can do that today, it was all manual. And so now it's like a really nice hybrid of the two. And for us, it's anything we can do to grease the skids for our customers and allow them to do their job better and faster and get information in their hands before maybe a competitor of ours or one of the older legacy data providers in the RIA space that Jud was mentioning. That's all we focus on. How do we improve the process and offer our customers a better way to grow their business? Yeah.
Jessica Perez (32:41): There's one thing, Russ, that you would want people to walk away from this webinar knowing, right? If they didn't spend a few more minutes with us or dive deeper right now, what are the takeaways that you have on FINTRX and Jed, I'll ask you the same, so start thinking about that as well.
Russ D'Argento (32:56): Yeah, I would say that the takeaway is if you are trying to access the wealth channel and wherever that might be across the wealth channel, it might be family offices, advisors, wealth teams, et cetera. If that's important to you and you are trying to either sell a product or service into that market or raise money from that market or recruit from that market, we'd love an opportunity to earn and win your business. I think we go about this in a really modern way that combines all of the tools and functionality that are available to us now as it pertains to CRM integrations and data feeds as well as in product intelligence on this market. We think we can really help you save you time and really help drive business growth. That's what we do all day every day we get up and try to solve problems and build a wonderful product. So that would be my takeaway.
Jessica Perez (33:58): Your takeaway on FINTRX and then your takeaway on Milemarker.
Jud Mackrill (34:01): Yeah, obviously you guys can tell I like FINTRX a lot. I believe in the product, I believe in the team, but I think that where everyone sits right now is you need to have more control over data. You need to be working more with data. You need to have a deeper proficiency and you need to think about, and the way that AI is retraining how we think about everything, how we prompt everything that is unlocking your need to be able to prompt your business. What do you have access to right now that you didn't know? What are the areas where you actually can have insight? It's not like it was before. We would take bets on different things and we would have a gut around how things would work. Now we can verify where should we really place our bets? Where should we spend our time?
(34:47): Where should we hire people? Who should we talk to? All that information is now I think, much more attainable. And then it also gives us a lot more opportunity to optimize. So I mean, Tanya, you shared your question, which is a good one. My Milemarker plus FINTRX plus my CRM. Yes. All these things are pieces of your stack and there's so much opportunity to take control of all this and continue to iterate. It's not static anymore. Things that used to be complex in CRMs, I mean Jess and I were solving something the other day. We just asked chat gpt, Hey, how do I do this? This seems simple, but it's not. The UX is difficult. We'd had fixed in two or three minutes because we had guidance. So the time to resolve is so much faster and the time to insight is so much faster, but you just need to have control. And that's what we're here to help happen. And I'm just thankful for the partnership we have with FINTRX and how we can help our clients have more success. So, I hope there's more companies out there that are taking the steps that FINTRX has with being able to be that useful for their clients and all across our wealth tech ecosystem because it's really important that we can modernize our businesses.
Russ D'Argento (36:04): Thanks for the words Juden. Just the last thing on that you mentioned a few times now, and I just want to note it, the work that we do to support our clients and take their feedback and create new features and different data points and things like that, and that is really a testament to our team and the work that they're doing. They deserve all the credit. We have some wildly talented people in the company and I just wanted to make sure that I acknowledge that because of wonderful feedback and exactly what we're trying to do for the client.
Jud Mackrill (36:37): Definitely.
Jessica Perez (36:39): So Russ, if you could pick a favorite feature. I know that's really hard because this is your baby. What would it be?
Russ D'Argento (36:47): Yes, really going to put me on the spot like that. I would say my favorite feature would be either AI analyst or AI search. That little conglomerate unlocks a tremendous amount of utility. Actually, you know what? I'll give you one third to that. And we just released the ability to analyze and chat dynamically with AI into the filings. So I think that right now is something I'm spending a lot of time with from a development standpoint, but also a utility standpoint. And that is the old way was maybe from a legacy provider, you would command F and try to find a word in the brochure, the A, DB or whatever. And that's cool, but there's no context to that, there's no sentiment to that. You can now pull up an ADV filing or a brochure 50-page document and in FINTRX it knows your context, it knows who you are, it knows what you're trying to do and what you're trying to accomplish. And off you go. You can just say, Hey, break down their fee structure and tell me how it fits into our thesis for what we're doing. It's pretty amazing. So I know it's kind of a cop-out answer, but those three things combined I'd say would be my favorite feature today. Ask me tomorrow, but different answer.
Jessica Perez (38:00): Jud, what's your favorite feature?
Jud Mackrill (38:02): Oh man, AI search is great. I think my favorite feature is just how many little details you guys thought of that I didn't know I needed. And that changed everything. Disability to understand how people are allocating and to stop hoping that I can change someone's mind and understand they already like this, they just need this new opportunity. So to me, there's a deep empathy that's in your product and I think it's awesome. So anyway,
Jessica Perez (38:29): Well I'll share mine because neither of you touched on this. So as a person who's done consulting and business development forever, the enrichment feature is awesome. So when you're getting your list from conferences, because we all get them right, you get these lists from everywhere and you need to figure out who do I spend time with? Who is a target person for me? Who makes the most sense for my audience? Having that enrichment feature to be able to upload those lists and see people, see their assets, see the data, see who's connected to them, that to me is really valuable, especially before you go to a conference as you set up emails, I want to be very targeted on my emails on who I'm going to connect with. I don't want to mask blanket everybody. So it helps give you guidance on who you should spend time with, who you need to meet with and give you a short list.
(39:14): So that way, that list of 300, 500, 1200 future proof this year, 5,000 people, who do I need to spend time with? That's what I want to figure out the most. That's my favorite feature. I love AI built into this, but the true data of like I have this list that's not that great. I need it to be optimized and Ventyx can do that for me. So I really do love that feature, Russ. And you guys didn't mention it and so I'm going to put that plug in there for that one. And then the last thing I'll ask and then we'll turn to some of the questions that we have because it's come up is who does Ventyx integrate with? And I know you guys have a lot of integrations. I don't know if this is a list or the best place for people to go through that with, but what type of integrations do you guys have at FINTRX is the question people are asking?
Russ D'Argento (39:58): Yeah, we have a bunch. It's a good question. We're adding them all the time today. Just some of the key integrations we have is Snowflake. We do a lot there, kind of direct API feeds. We have a Salesforce integration, a HubSpot integration, Microsoft Dynamics. We just launched an integration into Deal Cloud about a month ago. So those are kind of our core integration pieces and we've built them all in a really modern way. Again, we had the advantage of coming in a little bit later into this market and doing a lot of research into what people liked and did not like from some of the legacy providers, but they update dynamically. And so as we make changes on our system and add new firms and contacts and role changes and new launches and advisors break away and all of these things as we update them, they become updated immediately in your CRM. We don't do batch updates or anything like that. So it's a wonderful way to stay in tune and always know that your data is current.
Jessica Perez (41:03): Okay, and we've been trying to answer some of the questions as we go. I've got another one. Are you able to customize the data or views to be territory or state specific?
Russ D'Argento (41:16): Of course, yes. You can easily do that. You can cohort out the data by state or territory, save that into something that we call a smart list. And then from there, that becomes a living breathing thing. So as new advisors or firms or whatever it is, come into the specs of that territory, maybe it's a UM thresholds, maybe it's location based, whatever it is, they'll be added and removed from your dynamic territory list, which is a really easy way to stay on top of it. And there's also all types of functionality we built within those territory lists like news mentions and recent 13 F filings and role changes and title changes and all these things you can just set with a click of a button on what you'd like and not like to be alerted on within your territory and off you go. It's kind of a set it and forget it thing and then you can get digest each week or whatever. So it's really powerful.
Jessica Perez (42:13): Okay. And then another question, are there any restrictions on the use of the data?
Russ D'Argento (42:19): Of course, there's definitely restrictions on the use. You can use it for business services, like regular business activity, whatever, prospecting, recruiting, et cetera. You can't share it with others. Obviously it's against our subscription agreement.
Jud Mackrill (42:37): That's why I blurred it, by the way.
Russ D'Argento (42:38): Yeah, thank you. I appreciate that. And you can't use it to train other AI-driven models, whether that's an LLM or put it in your own product. You can't make a derivative work of our data and put it in your own product and either resell it or use it for another cause besides regular business activities. Long way of saying you can't commercialize our data, just like any data provider, you couldn't go to Bloomberg or PitchBook and export all their data and commercialize it. You have a problem on your hands, and we take the same view. John, I don't know how you think about that, but
Jud Mackrill (43:17): Same. Yeah, I mean this is what we do. I mean, we're helping a lot of people through this. It's important to protect the integrity of the data that we have and the customer's data that is trusted with us as well. So no, it's all very standard stuff.
Russ D'Argento (43:34): Yep.
Jessica Perez (43:36): Great. We have answered all of the questions. If you have any additional questions, please do not hesitate to reach out to us. We put some contact information on the screen here, but happy to address any questions. Ju and I are happy to share how we use FINTRX a little bit more. Russ's team is happy to give you a demo, talk pricing and get more specific. But we appreciate your time today and we hope that this was helpful for everyone. And have a fantastic week from the FINTRX and Milemarker team. Have a great day everyone.
Russ D'Argento (44:04): Take care. Thank you.
FINTRX is a unified data & research platform providing comprehensive data intelligence on 850,000+ financial institution & advisor records designed to help industry professionals identify, access and map the global wealth management ecosystem. FINTRX data intelligence covers over 70,000+ financial entities, including family offices, endowments, foundations, RIAs, broker dealers and advisor wealth teams as well as 750,000+ associated reps & key contacts. Data for every record within FINTRX is aggregated from various public & private sources and regularly verified by an extensive research team to ensure reliable, high-quality data.