Geofencing and Dataflick in Real Estate

so geofencing or Geo targeting in reality can be applied in so many different ways you're going to be affordable they're they're providing the skip tracing up front this thing's got to be astronautical what does it cost to get a county that way we're not wasting time or money 100 call me how are you man I'm good thanks for having me yeah man we started this conversation before we get into dataflake tell me about your background and how you got into real estate got you so how I got into real estate actually started with my business partner Ty okay um he was a mortgage for a while joined Fortune Builders I don't know if you remember them then Tiff and Josh and Columbus Ohio hired him for a disco job oh well so I am fresh out of college trying to figure out what to do in my life working on landscaping job for a buddy of mine actually and he calls me it's like I know you're just looking around trying to figure out what to do with your life I have a follow-up specialist role here come interview for it I go up interview one thing I do another I'm working with them for the next six months in Columbus Ohio nice yeah now that was the start of it man so how did that go like how did you go from working for Tiffany and Josh because they're juggernauts now right yes they've got a pretty solid company so what happened from there like take me on that Journey 100 um so back then they were nowhere near as huge to be honest like uh Tiff we'll talk about what I called the Great Purge where a lot of the staff got let off because they weren't performing right they were working off of guru's expectations at that time versus now they're working off science facts yeah and just performing so much better so I got rapidly promoted at Acquisitions and kind of just thrown in the weeds with them with all of us trying to figure out it was a great Community Building bonding experience all around um but I'm a big homebody right all my family's in Knoxville Tennessee and I got real homesick so Ty and I moved back to Knox start doing ourselves working with a few money partners and realized data kind of sucks and that was literally the rabbit hole that created dataflick though just one step after another then we got some fundraising for it and just kept it pushing nice man so let's talk about dataflick right I first seen you guys on Steve Train's podcast and I kept hearing Ai and machine learning I'm like what the hell is AI machine learning because the type of data that we know is like prop stream batch leads um you've got like property radar there's a bunch of different providers you got 80 20 REI yeah authentic and a lot of you got the lower end which is like prop stream you've got like a subscription then you got identity that could be like 20 30k a year right so what made you guys decide to start dataflick definitely so probably very similar mindset to audantic and the sense of to me it was more than just hitting a list right so one of the most common issue here people hit is absentee yeah right everyone and their brother does but let's be honest do you own a rental right now oh yeah yeah you're an absentee homeowner you're on that list yep would you ever sell below 50 ARB no that's my point so we followed that exact logic going down that train right like sure some kind of a lean but if that's a thousand dollar lean and they make 200k a year they're not selling their outside discount why are we hitting these lists in this Mass Broad way when we can get more narrowed in on the data itself and hit it from multiple angles to actually connect with them better got you right so that's what led us to that predictive machine learning route which I'm guessing audantic had a very similar mindset and that yeah yeah I've never used audantic I've used 80 20 REI I've used prop stream um prop stream is in my opinion the low hanging fruit because it's it's cheap to subscribe to us like 99 bucks a month and you can pull like 10 000 leads per month right when I jumped on with you guys what I was impressed was it was one you guys provide the skip tracing right that saved a ton of money that's where most of the money spent on data when you're talking 10 to 12 cents per lead right yeah um but also you guys have like the model scores that shows like the pain point so let's talk about that because these other data providers don't provide that right so let's talk about the data scores what they mean how to utilize that yeah 100 so with our scores It's a combination of two main things How likely the property is to sell now that could be on Market off Market full price half price whatever right and then the second part which is really the key How likely it'll sell to an investor so that's where the motivation really lies in all of this right so when we're talking about that likely sell to investor piece we're looking at a ton of back testing data creating seller profiles around essentially the demographics building out an actual seller profile yeah and then seeing if I'm matches these new ones coming up so when you say seller profile what do you mean by seller profile oh yeah so in reality there's 900 unique data points we could get into right but to keep it kind of simple how many people live in the house what's are what's their marital status what kind of vehicle are they driving what's their relationship with the bank what we can just go deeper and deeper into as much data as we can get and it's not me saying oh yeah the relationship with the bank isn't the best let's hit that up it's our model taking that into account as one little piece of this massive puzzle did you guys have to build that model to be able to track that or oh yeah so how we built this was the years of historical data okay and current data and then we have our deep learning machine models running through all of this to come up with these scores come up with the likeliness they will transact gotcha yeah so what is machine learning got you so machine learning it can be applied in so many different ways but the simplest answer is taking a ton of data okay right running it through models to come up with an outcome okay right and the beautiful thing about machine learning is the more data it gets the more accurate it'll be the better it'll get over time okay so we're talking about our real estate models right now I know one of your counties is Clayton hope that's okay that list is like 13 000 records something like that yeah and two years that list could be five thousand covering the same amount of investor transactions gotcha okay so I guess what's the separation between like the machine learning AR or is that both one and the same thing so they do work hand in hand a lot of the time but AI or artificial intelligence is more so replacing a human to do a job that much better so like if you had a huge Excel sheet of a ton of people named Frank and their last names are different you could say hey Excel or hey chat GPT for example a great version of AI go through and find all the people whose last name starts with a s and has the first name of Frank I know automatically do that for you as a human would take much longer to do that so that's what AI is versus machine learning is much more in-depth route of creating predictions creating analysis that a regular human just couldn't do got you got you so I guess what is like the ideal type of user for this type of data is it only catering to like wholesalers is it catering to Realtors yeah so we actually have multiple products so we have an investor product and a realtor product so the realtor product focuses more so on people who are likely to sell I know lean more towards full price on market right well that investor product does have that motivation piece where they're more likely to sell to an investor in that regard right okay now in terms of who's the ideal to use it it would be someone who has those marketing channels in place to properly utilize the data okay right so is there certain marketing channels that you guys have noticed that are like the most effective or is it all marketing channels work it's just dependent on the area um so area is massive right location I can't stress that enough a mailer can be phenomenal in Georgia and awful in Las Vegas right same mailer same list size all the above yeah so the location's huge but also the more channels you have running in reality the better people are going to respond you could have someone who never checks their mail but the first time they get a text they're responding or you could have someone who never answers their phone they think every number they don't know it's a Spam call but that direct mailer or that commercial they see on TV is going to push them to be much more receptive gotcha right so Omni Channel approach is always the best in terms of just getting in front of those ideal clients gotcha that makes a lot of sense okay so back to the the model scoring right obviously the higher the score the more pain points that they they have right yeah to a degree so are we adding in factors of like if they're in bankruptcy foreclosure if all that is a combination of some that means like they're gonna have that higher model score yeah so we take about 20 classic distress lists into account from absentee High equity which are just abused lists in my opinion to the pre-probates pre-foreclosures bankruptcy short-term loan inquiries right zombie properties even gotcha um but for us we're using them as data points so not yeah this list is all pre-foreclosures that fit in our model no it's saying they have a pre-foreclosure machine learning model where does that put them with all these other data points in terms of where they should be on our so it's a different approach in that regard too okay so we've talked about the other data providers right like a bachelor's and a prop stream right one of my issues is like I said in the beginning is it's it's that low hanging fruit right everyone's able to access it it's at a cheap cost and that makes a little harder for people like myself who are investors look in a wholesale or Fix and Flip whatever the case may be all right what dataflake are you guys capping the amount of users that have access to what you guys are providing or is this can is it a free-for-all anybody can have access to it not off so we allow one to five video series depending the size of the county itself right for example we're looking at Maricopa which is Phoenix Arizona huge County yeah five people can probably fit just fine then we look at Clayton one to two much smaller County much smaller list size even if you are doing different types of marketing there's probably going to be overlap there versus like Maricopa a lot less likely yeah yeah so that's that's good to know so you guys watching this just know you're not gonna have a bunch of competition if you use data flick um so let's talk about this whole Geo fencing geotarget somewhere I just started with you guys what are the details behind this how does it work you know give me the Insight on this so This falls under what we call digital ads in general right geofencing it's the catchiest but it's just a small piece of it if we're being honest so I'm actually going to turn this on you a little what's your understanding of geofencing currently um [Laughter] from my understanding is like if so if I pulled data right um if there's say there's a certain neighborhood that I want to go after a certain County you guys are able to use Geo targeting and Geo fencing to where you can place my ads in front of that homeowner because I'm providing you guys with the address something to that essentially yeah so geofencing or Geo targeting in reality can be applied in so many different ways okay for example law enforcement uses it to find phones at crime scenes wow that were there right or for people who play Pokemon go for that Generation Um if you're near poke Center that's when your phone will let you swipe for the balls right right or you go to Target you don't buy anything and the next day you're getting ads for Target that's geofencing wow yeah so this can be applied in a ton of different ways um how dataflick specifically does it is we're giving you our predictive list we're going to sort that by your buy box to make sure we're only reaching out to the houses you want yeah then we do geofence that mailing address so once we do that it's not just the phone anymore now we're able to send ads to all the devices in that house TV laptop tablet computer cell phone Etc so when we say ads or we're talking about like social media ads banner ads like what type of ads are we talking about so a few different kinds first is streaming commercials right so you're on ESPN streaming platform there's an ad do you watch Ted lasso by chance Apple TV no I don't gotcha great shot check it out but there's an ad you're on HBO at watching the office on peacock I can go on and on here so that's the first one second is the pre-roll videos you're watching you're on espn.com looking up highlight reels season's about to start that non-skippable ad that pops up oh pre-roll videos there's another place you're at then as you mentioned banner ads these are everywhere any site you've ever really gone to right and lastly social media as well which is Facebook and Instagram so what about like cookies and stuff like that so we aren't using cookies because cookies are about to get shut down actually really yeah do your own research on that but there's been a lot of stuff around Google shutting down cookies no idea yeah I checked that out um but the beautiful thing with these ads because we're doing it how we're doing it it's not saying let's put 5000 into Facebook and let it ride or 5 000 into Banner ants it's saying wherever they go on the internet these ads are streaming to them right so if they are never on ESPN of course an ad is never going to be serviced to ESPN if they are only ever on those 14-page food blogs that are way too long for no reason to find that recipe at the bottom they will only see those banner ads pop up whoa but the whole goal is to saturate them where they are so this is almost like I'm gonna say it's like PPC but it's it's a lot cheaper than trying to do a TV commercial on channel 2 news or anything like that it's a mix of that but it's also more targeted right we are picking the specific people we want to send these ads to or the specific homes right it's not saying yeah in Clayton County Channel 2 5 p.m there's Justin what's up yeah no it's more so oh we got Greg Smith here at 123 Main Street the most common address ever yeah we're going to set at his house [Laughter] that's hilarious dude um so it's very specific to where we're not wasting on marketing dollars exactly like you said it's not just say at 5 PM you're gonna air whoever sees it sees it this is more specific more targeted so that we're making sure we're getting in front of the right people exactly got you okay so data Brokers right I want to talk about data Brokers because watch some of your guys interview some of your podcasts and I I keep hearing the word data broker float around what the hell is a data broker gotcha so data broker or um Theta aggregator raw data providers it's essentially these massive companies who their whole job is to get raw data gotcha right and whatever specialty they have so whether it's more on the demographic side more on the housing side more on the economic side whatever it is they're just massive data aggregators and AI companies like us utilize them to get all this data in Mass to then run it through our models wow gotcha yeah okay let's talk about some wins man um you guys have quite a few users right how many users you guys currently have right now about 75 to 80. okay I'm wearing that so that's good so it's not like there's a ton of people getting access to this data it's very exclusive then 100 where we only want to work with people who a we think we can truly help yeah but B we can build that relationship with okay gotcha yeah so are most of those people using Geo targeting or is it like half and half or um I would say more so start off with just the data to test the data make sure they like it then get into the geofence and Geo targeting range right because the beautiful thing about the digital ads is yes they may get you a deal or two but that's not really the goal of them right the goal of them is to boost every channel under it so imagine a massive funnel yeah in reality investors start in the middle of that funnel they start with immediately I need deals here's PPC here's cold call here's text here's Direct Mail let's get deals but if you look at any other industry besides real estate yeah it starts at the top it starts with the trust Foundation people reaching out or them seeing you somewhere on TV or on the Internet and building that recognition to boost those at the bottom a great example of this do you know what Topgolf is yeah did you know there's a basketball version of Topgolf no I had no idea so I saw this commercial the other day I couldn't tell you the name of it to save my life but I know the thought of it right first thing I'm going to do is search basketball Topgolf now we flip that to you we say okay yeah you know I have thought about selling that commercial was great what's the name of the company again sell my house fast and boom just like that your PPC is getting distant or they've been seeing these ads for a month now it's really in their head they are primed to either selling to an investor or just seeing you everywhere and then they get a mailer from you a month later they're going to be so much more receptive you're just cutting down on those minimum touch points you have to get to yeah before hitting them with that bottom of the funnel mail okay so let's talk about cost right I know a lot of people are watching this are gonna be like man what is this cost it sounds very sophisticated it sounds intimidating is this even going to be affordable they're they're providing the skip tracing up front this thing's got to be astronomical right yeah what does it cost to get a county 100 so we do cost per County and it's like an investor license so essentially everything we think is worth reaching out to they're going to have access to for that cost now the cost is anywhere from 750 to 2500 depending the County's size um now we throw in discounts if you get multiple counties which you experienced yourself yeah um but overall that's how we do it for a six-month agreement paid monthly yeah and then we look at the digital ads and that's different the reason why it's different is we're not taking a management fee we're not taking ad spend overhead it certainly costs per send out do you have like a rough estimate of what that costs so we do have a 5k minimum on it okay the only reason being is we've seen how 3500 performs versus 5K yeah and it's night and day so if you have that budget that's putting like putting it there to really Push It Forward will make a world of difference so 5K can get you on some streaming platforms 100 like a Hulu whatever the streaming platform is to get you in front of people and we're talking it's like a TV ad type style of course yeah compared to paying freaking 15 20 30 000 to be on like channel two for that five o'clock slot and you don't even know if your avatar of a seller is going to be watching it 100 of course it depends the county too right right so Clayton you don't need to reach out to as many people verse let's say Harris Texas you may be closer which is Houston you may be closer to a 10K budget right but our minimum is 5K on that gotcha okay so let's talk about mistakes man we all make mistakes you know when we get into this business what are some of the biggest mistakes that you see a lot of the users make um I guess it'd be the users that have a very short lifespan with with using dataflick right what are some of the big mistakes that you see them make whenever they jump on with you guys got you so this is actually one of the reasons why and I'm sure you remember at the beginning of our sales call I asked you a ton of questions about how you plan to utilize the data how you're marketing now one of the reasons why I get into that so deep now is because we used to just let anyone who want to on they could have one cold caller in the largest county in the US and be like yeah we're fine give us the data if the data is great the color will be great but that's not really true depending the county you need proper marketing penetration to be honest right so going into Las Vegas with a single cold caller versus instead of that using I know we talked about prop stream which everyone has access but you can still be smart with building those lists yeah right so start with a more average list but build out that marketing power then upgrade that data source and that's going to take you so much further than you having great data but not being able to move forward okay I always compare it to let's say you're in a canoe in the ocean right you're trying to go over some massive waves there's a hole in your boat the first thing you're doing isn't getting a better paddle right you're either patching the hole in your boat and getting a bigger boat like that that's the answer there right yeah so same there you really gotta make sure those marketing channels are set properly so the data can do its job got you you guys let's talk about list stacking before I get into the other part what is list stacking yeah so list stacking um which is more common with prop strain batch Etc it's taking a few of those main distressors so let's say we really like absentee homeowners who have high equity and have tax default for example um that's the stacking so we're taking all three of those saying who fits all three of these categories great put them together there's the Baseline motivation level let's hit that list so list stacking is a little different than dataflix list in that regard because we're not saying oh yeah we have these three distressors let's hit it we're saying sure these three may be there but what else is going on in their life to see are they even worth reaching out to or not gotcha okay bro what's next for data fluke man a lot let's talk about it yeah so we have a few products currently in the works okay which I'll go ahead and say some but please don't start calling me saying hey yeah let's do it right now because it's not ready just yet um but one of them is flick ID what is that yeah so it's actually a pairing with our digital advertising okay how it's going to work is generally when someone visits your website it's an anonymous IP address right it's just saying oh yeah you had a visit cool we had 1 000 visits this month flick ID has the ability to uncover those unique visitors so now we're saying you're on our predictive data list you received an ad interacted with the ad and went to the site let's say You Then followed that lead form you still have motivation yeah I don't need to know your seller profile to know if you went through that full process there's a reason why you visited the site and went through four pages wow right so now that list of let's say a thousand a month is going to be the hardest list to hit um right so they just had hesitation didn't follow through but now if I go back and retarget them and that mailer that ad whatever it is that puts the nail in the coffin is what you need there oh wow right so when is that coming out that's coming out here soon um it will be included in the digital ad package um there may be a tiny charge to uncover them but that charge my guess will be under a hundred dollars a month is that going to be able to decipher because a lot of the issues that we have and it really stem from like we were doing PPC and Facebook ads was you get a lot of a lot of Realtors and wholesalers that fill out the forms right so is it going to be able to track the IP address and let you know if that was the actual homeowner or if that was just like somebody trying to wholesale you a deal or really trying to sell you what we're doing is uncovering them and then matching them back to our data set right so to a degree I don't want to say a hundred percent it'll clear all of them because we do want to just uncover everyone who goes to your site yeah even if it's a landing page we're building out for you or whatever it is which we're not there yet either so don't don't call me yet but um but yeah kind of getting a little deeper into that the whole point with this paired with our digital ads is initially we're already targeting the people we want to talk to and pushing them down that funnel so sure that random realtor may still hit you up but the majority should ideally come from that list we're marketing to gotcha right okay that's right click ID damn you don't have to put me on whenever that launches of course so what else so I'm trying to figure out how much I uncovered spill it bro um so we're doing that we are also we talk about AI right um we use a ton of it in our day-to-day lives just when you say AI what it and you're using I what exactly do you mean by there using chat GPT like chat GPT is phenomenal first and foremost huge fan give me the details on what do you mean by air because everyone here is AI artificial intelligence I use AI for whatever yeah what do you mean by using AI in this case I am talking about artificial intelligence in the sense of if a person had 24 hours sure they could probably accomplish this task but were able to do it in 10 minutes gotcha right or even longer for the person but shorter for like it's insane what it's getting to the point of but pairing that with our raw data is what's making it so powerful for us too so we've had the data on the amount of investor transactions occurring right the list size how big the county is all that we already have that's fine but using systems like this we're able to then create our own scoring system on that platform to rank the counties essentially right we're going to be able to tell you yeah and Georgia these are the top five counties based on the list size amount of investor transactions occurring and how well we did in that county that way we're not wasting time or money 100 trying to spend trying to get deals in a wasted County yeah one of the most common things I hear is either someone saying yep I want to get to 10 deals a month and I'll look at their County and there were 20 investor transactions that month I'm like you're trying to take up 50 of this available market share and the county that's just that's just not it yeah or the second thing that I hear a lot is yep I'm completely remote you tell me where to be and I I would say I'm pretty good at it right I've been in the data for a long time now yeah but there's still 3 000 something counties in the US yeah so once again utilizing this AI tool we're able to then dive deeper and yep these are the counties you should hit oh you want to do a ten thousand dollar I mean a 10 000 mailer yeah let's find the top this is where you're gonna have the most success based on the numbers 100 uh for example we look at Maricopa I keep saying them because they're just a huge County and a great example but in the top 25 of zip codes 75 of the investor transactions occurred wow right wow so applying that same logic to these mail lists that we're creating for people and things like that can take it that much further as well that's powerful bro yeah and we're doing this to some level now but it's about to get bumped up much higher here very soon all with AI over there all machine learning man that's the whole goal like I I wouldn't consider myself a dumb person I'd say average to a person I appreciate it but there are things that I couldn't even imagine doing that these systems are like two minutes boom here's the full system oh you want to determine we even determined dataflick's pricing structure through using AI right like what should I price this County at oh there's a little too high amount of records for that County size let's take it and that was all AI whoa in like a 10 minute span like 3 000 something counties priced perfectly that's powerful that saves on you guys over it too because now you don't have to go out and hire like a data scientist so go get all this data for you guys you just get to use technology which is AI 100 to help you guys and catapult you guys to the next level yeah all right and that's not just us you guys can do this too right yeah so you can take theoretically all the past transactions you've done all the data you can get on them right how many bits how many bats how was the roof made of if you can right yeah the price is sold at the price you bought it at Etc run all this through systems like Chachi pt4 code interpreter whatever it is to find out where's your ideal location that you're buying these properties at right yeah and you can do all this right now it's like 20 a month not to be a sponsorship to chat GPT or anything but I got you um are you familiar with platforms like in REI sift something yeah you guys ever plan on having anything similar so that's my personally I feel like that would be a great like an addition or a bolt-on because one of the things I'm having to do now with the data is like I gotta track everybody I track everyone through callrail gotcha it calls through our Direct Mail pieces right where they so say yeah we want to sell or take us off the list I have to go back through the list so you guys provided and highlight in either red which means take them off or green which means they called in their interest then we put them in our CRM and if we had something that was that was able to take that off of our plate that would make things so much easier make you guys even more powerful if you guys could provide something 100 so we've thought about that a lot um building out a full system at least to the degree that dataflick would want to build it out it's not a small overhead by any means uh we had thought about building out that pre-crm version where you can download your list there edit it um we even thought about adding our own version of AI into it like yeah it's not a no it's just a not yet it's the best I'll say all the the over it called some platforms like that and then spending one in the CRM it's like it's getting ridiculous now man it's it's insane bro I mean to me it's like it's only a matter of time before someone comes out with a product which is going to utilize AI to eliminate all these other vendors that are just costing unnecessary dollars you know what I mean on top of that um and this is pretty big segue to be honest but one of the most common issues that I find with sorting through people's crms pulling that data is just a common form like a verified data knowing this is the mailing address this is the property address this is the homeowner this database double checked with the county and I get the county every single County logs everything very differently but that's another I don't think impossible Direction it could take or even matching it with maybe not the county but with raw data providers to have like a double check there I think that could be very powerful as well in that regard one thousand percent man that would be very powerful what else bro what else what else y'all got coming down the pipeline well so I did say we have that Realtor product um we've been it's not my beta testing it now but we're about to really go live with it um to be honest the results on it are a little better than the investor results and the investor results were predicting seven out of every 10 investor transactions that occur on average yeah right but the Realtors even that much more and when we talk about brand Equity really positioning yourself in the right spot yeah it matters so much to Realtors to Realtors their name is everything oh yeah well we look at investors the majority of them are cold calling texting and we talk about okay I'm gonna go down another teacher go for it we talk about how archaic real estate investing is these days the majority of marketing we don't say are company name that is a mind but imagine if a health insurance company cold quality right they didn't tell you who they were and was like yes so you're going to sign up right you automatically think scam 100 someone's calling about my car's extended warranty whatever it is right and that's not to say cold call and texts are bad think they have good reach good coverage if done right depending the county callers a2p10 DLC regulations All the Above but for a realtor your name's everything yeah so building that brand awareness through our digital ads first to push them down that funnel to where they get let's say a branded mailer from a realtor were very high hopes so you do you guys have like hybrids that are like licensed Realtors and investors or people that are just straight realtors that are having a lot of success using you guys yeah so we do have a few Realtors testing that's honestly one of our um main partners with dataflick he's also a realtor as well so everything we've done we've tested first right so is he split testing because like with what we're doing with our Millers right it's strictly for investing right so is he doing like separate campaigns so to speak for the realtor side and the investor side to a degree but a lot of times that's overlap and if you're going to look at the overlap the investor products the better move right so going back to the Omni Channel marketing of hitting them every way you can yeah same on the exit strategy the more ways you can dispose sell profit off a house just some more options you're going to have to utilize our list if you're able to do the Creative Finance the novations the list if it's a good list the whole tail Fix and Flip wholesale although above right the more options you give yourself just in general the better it's going to be yeah wow okay yeah man I'm gonna have to tap in on that side because he's in like the market share for people that sell the home it's like only about 10 to 15 percent is through like cash deals or on the investor side average 10 percent to investor transaction and follow the transactions that occur in accounting so you've got freaking 90 of the people that sell are selling the traditional way and there's not that many people out there it's Realtors at least marketing no that are marketing and utilizing the data to get in front of these people now let's get one thing right the amount of Realtors right now is insane oh yeah right but the amount of no offense the amount of Realtors marketing properly is very little they're taught to do word of mouth Zillow leads whatever it is in that regard yeah when there's no hanging fruit 100 and that's I get it you have to start somewhere everyone doesn't have seven thousand they can drop monthly for five months and get consistent results I completely get it yeah but as a realtor does build up referral word of mouth it's great but if you're talking about in one County there's twice as many Realtors as there are properties on the market word of mouth is only going to go so far these days whoa and I think the other average stat is I think 70 of people who buy or sell go with a different agent than they did last time so there's constantly 70 yeah it's a higher so that means there's about because one of the issues we always face right because we offered a list of properties not through us but through our Affiliated relatives we do business with one of the issues is every time we say that say 99 of the time and say I have a friend or family member who's a real estate agent but you just said 70 use a different realtor when they go to sell or buy so that's 70 of the people correct me if I'm wrong that don't personally know a realtor because if you're using a different realtor don't know a realtor or if they got reached out to by a more impressive and they have more confidence in this realtor like I have a lot of friends who are realtors some of them are great some of them average yeah yeah like there's that level of hierarchy and Trust so if you're able to Market to them properly without them even really knowing your like no one ever asks how to get my IP address to send me this streaming ad right yeah so if you're able to build that trust that sense of whatever you have we're able to handle it and make you profitable and happy on the back end that's going to push people to you even if they have someone on the sides um the majority of the time yeah one thousand percent what else man is there anything else you want to spill the beans on I feel like I've spent a lot keep [Music] I mean everything else is probably too far ahead to really talk about so you guys got stuff in the works of course yeah um let's just say we're probably not going to stop at real estate okay that was actually about to be my next question was are you guys gonna get into other sectors other spaces because I know you right now it's just real estate but data goes a very long way data is a horizontal thing meaning it can go across many different Industries the top companies utilize data to Target Their audience right so what when I say what's next for a data flick I know you talking about what you guys are going to do in the real estate space but big picture what are we talking about here no that's fair and this is big picture right so just like investors we want to make sure that we are going deep enough in the current market making sure our systems are set properly people are utilizing it properly before we expand we don't want to be like yeah we have half a product here let's go into solar right like we want to make sure we're doing it properly growing the realtor side as well doing that properly then expanding as needed yeah but it's almost as you said here man right like data is universal marketing is universal it's the most important thing you can use man so using our systems and our data we'll be able to essentially build ICP lists an ideal customer profiles and then Market to that company's exact criteria have you guys like identify I guess the immediate next type of sector you guys want to go after it will probably be a horizontal one so something similar to real estate like maybe mortgage maybe solar something's still revolving around housing gotcha that's probably the next and easiest step yeah but once again we want to make sure real estate is nailed perfectly first before we expand wow bro that that can be massive because you guys are not just providing the actual data with when you bolt on the geofencing as well and then everything else that you talked about that's coming up through the pipeline or dataflake it's a game changer that can really separate you guys from from the competition so anything else I'm gonna leave it there there's a few things you may see in a few months but I'm gonna leave it there for now gosh well listen man you came out here you gave a lot of good gems a lot of good value I appreciate it man guys if you guys are watching this I hope you guys really tuned in and listen Rami came on he dropped bombs there's a lot of value that he gave please like share subscribe comment your favorite part about this video until then I will see you guys on the next episode

so geofencing or Geo targeting in reality can be applied in so many different ways you&#39;re going to be affordable they&#39;re they&#39;re providing the skip tracing up front this thing&#39;s got to be astronautical what does it cost to get a county that way we&#39;re not wasting time or money 100 call me how are you man I&#39;m good thanks for having me yeah man we started this conversation before we get into dataflake tell me about your background and how you got into real estate got you so how I got into real estate actually started with my business partner Ty okay um he was a mortgage for a while joined Fortune Builders I don&#39;t know if you remember them then Tiff and Josh and Columbus Ohio hired him for a disco job oh well so I am fresh out of college trying to figure out what to do in my life working on landscaping job for a buddy of mine actually and he calls me it&#39;s like I know you&#39;re just looking around trying to figure out what to do with your life I have a follow-up specialist role here come interview for it I go up interview one thing I do another I&#39;m working with them for the next six months in Columbus Ohio nice yeah now that was the start of it man so how did that go like how did you go from working for Tiffany and Josh because they&#39;re juggernauts now right yes they&#39;ve got a pretty solid company so what happened from there like take me on that Journey 100 um so back then they were nowhere near as huge to be honest like uh Tiff we&#39;ll talk about what I called the Great Purge where a lot of the staff got let off because they weren&#39;t performing right they were working off of guru&#39;s expectations at that time versus now they&#39;re working off science facts yeah and just performing so much better so I got rapidly promoted at Acquisitions and kind of just thrown in the weeds with them with all of us trying to figure out it was a great Community Building bonding experience all around um but I&#39;m a big homebody right all my family&#39;s in Knoxville Tennessee and I got real homesick so Ty and I moved back to Knox start doing ourselves working with a few money partners and realized data kind of sucks and that was literally the rabbit hole that created dataflick though just one step after another then we got some fundraising for it and just kept it pushing nice man so let&#39;s talk about dataflick right I first seen you guys on Steve Train&#39;s podcast and I kept hearing Ai and machine learning I&#39;m like what the hell is AI machine learning because the type of data that we know is like prop stream batch leads um you&#39;ve got like property radar there&#39;s a bunch of different providers you got 80 20 REI yeah authentic and a lot of you got the lower end which is like prop stream you&#39;ve got like a subscription then you got identity that could be like 20 30k a year right so what made you guys decide to start dataflick definitely so probably very similar mindset to audantic and the sense of to me it was more than just hitting a list right so one of the most common issue here people hit is absentee yeah right everyone and their brother does but let&#39;s be honest do you own a rental right now oh yeah yeah you&#39;re an absentee homeowner you&#39;re on that list yep would you ever sell below 50 ARB no that&#39;s my point so we followed that exact logic going down that train right like sure some kind of a lean but if that&#39;s a thousand dollar lean and they make 200k a year they&#39;re not selling their outside discount why are we hitting these lists in this Mass Broad way when we can get more narrowed in on the data itself and hit it from multiple angles to actually connect with them better got you right so that&#39;s what led us to that predictive machine learning route which I&#39;m guessing audantic had a very similar mindset and that yeah yeah I&#39;ve never used audantic I&#39;ve used 80 20 REI I&#39;ve used prop stream um prop stream is in my opinion the low hanging fruit because it&#39;s it&#39;s cheap to subscribe to us like 99 bucks a month and you can pull like 10 000 leads per month right when I jumped on with you guys what I was impressed was it was one you guys provide the skip tracing right that saved a ton of money that&#39;s where most of the money spent on data when you&#39;re talking 10 to 12 cents per lead right yeah um but also you guys have like the model scores that shows like the pain point so let&#39;s talk about that because these other data providers don&#39;t provide that right so let&#39;s talk about the data scores what they mean how to utilize that yeah 100 so with our scores It&#39;s a combination of two main things How likely the property is to sell now that could be on Market off Market full price half price whatever right and then the second part which is really the key How likely it&#39;ll sell to an investor so that&#39;s where the motivation really lies in all of this right so when we&#39;re talking about that likely sell to investor piece we&#39;re looking at a ton of back testing data creating seller profiles around essentially the demographics building out an actual seller profile yeah and then seeing if I&#39;m matches these new ones coming up so when you say seller profile what do you mean by seller profile oh yeah so in reality there&#39;s 900 unique data points we could get into right but to keep it kind of simple how many people live in the house what&#39;s are what&#39;s their marital status what kind of vehicle are they driving what&#39;s their relationship with the bank what we can just go deeper and deeper into as much data as we can get and it&#39;s not me saying oh yeah the relationship with the bank isn&#39;t the best let&#39;s hit that up it&#39;s our model taking that into account as one little piece of this massive puzzle did you guys have to build that model to be able to track that or oh yeah so how we built this was the years of historical data okay and current data and then we have our deep learning machine models running through all of this to come up with these scores come up with the likeliness they will transact gotcha yeah so what is machine learning got you so machine learning it can be applied in so many different ways but the simplest answer is taking a ton of data okay right running it through models to come up with an outcome okay right and the beautiful thing about machine learning is the more data it gets the more accurate it&#39;ll be the better it&#39;ll get over time okay so we&#39;re talking about our real estate models right now I know one of your counties is Clayton hope that&#39;s okay that list is like 13 000 records something like that yeah and two years that list could be five thousand covering the same amount of investor transactions gotcha okay so I guess what&#39;s the separation between like the machine learning AR or is that both one and the same thing so they do work hand in hand a lot of the time but AI or artificial intelligence is more so replacing a human to do a job that much better so like if you had a huge Excel sheet of a ton of people named Frank and their last names are different you could say hey Excel or hey chat GPT for example a great version of AI go through and find all the people whose last name starts with a s and has the first name of Frank I know automatically do that for you as a human would take much longer to do that so that&#39;s what AI is versus machine learning is much more in-depth route of creating predictions creating analysis that a regular human just couldn&#39;t do got you got you so I guess what is like the ideal type of user for this type of data is it only catering to like wholesalers is it catering to Realtors yeah so we actually have multiple products so we have an investor product and a realtor product so the realtor product focuses more so on people who are likely to sell I know lean more towards full price on market right well that investor product does have that motivation piece where they&#39;re more likely to sell to an investor in that regard right okay now in terms of who&#39;s the ideal to use it it would be someone who has those marketing channels in place to properly utilize the data okay right so is there certain marketing channels that you guys have noticed that are like the most effective or is it all marketing channels work it&#39;s just dependent on the area um so area is massive right location I can&#39;t stress that enough a mailer can be phenomenal in Georgia and awful in Las Vegas right same mailer same list size all the above yeah so the location&#39;s huge but also the more channels you have running in reality the better people are going to respond you could have someone who never checks their mail but the first time they get a text they&#39;re responding or you could have someone who never answers their phone they think every number they don&#39;t know it&#39;s a Spam call but that direct mailer or that commercial they see on TV is going to push them to be much more receptive gotcha right so Omni Channel approach is always the best in terms of just getting in front of those ideal clients gotcha that makes a lot of sense okay so back to the the model scoring right obviously the higher the score the more pain points that they they have right yeah to a degree so are we adding in factors of like if they&#39;re in bankruptcy foreclosure if all that is a combination of some that means like they&#39;re gonna have that higher model score yeah so we take about 20 classic distress lists into account from absentee High equity which are just abused lists in my opinion to the pre-probates pre-foreclosures bankruptcy short-term loan inquiries right zombie properties even gotcha um but for us we&#39;re using them as data points so not yeah this list is all pre-foreclosures that fit in our model no it&#39;s saying they have a pre-foreclosure machine learning model where does that put them with all these other data points in terms of where they should be on our so it&#39;s a different approach in that regard too okay so we&#39;ve talked about the other data providers right like a bachelor&#39;s and a prop stream right one of my issues is like I said in the beginning is it&#39;s it&#39;s that low hanging fruit right everyone&#39;s able to access it it&#39;s at a cheap cost and that makes a little harder for people like myself who are investors look in a wholesale or Fix and Flip whatever the case may be all right what dataflake are you guys capping the amount of users that have access to what you guys are providing or is this can is it a free-for-all anybody can have access to it not off so we allow one to five video series depending the size of the county itself right for example we&#39;re looking at Maricopa which is Phoenix Arizona huge County yeah five people can probably fit just fine then we look at Clayton one to two much smaller County much smaller list size even if you are doing different types of marketing there&#39;s probably going to be overlap there versus like Maricopa a lot less likely yeah yeah so that&#39;s that&#39;s good to know so you guys watching this just know you&#39;re not gonna have a bunch of competition if you use data flick um so let&#39;s talk about this whole Geo fencing geotarget somewhere I just started with you guys what are the details behind this how does it work you know give me the Insight on this so This falls under what we call digital ads in general right geofencing it&#39;s the catchiest but it&#39;s just a small piece of it if we&#39;re being honest so I&#39;m actually going to turn this on you a little what&#39;s your understanding of geofencing currently um [Laughter] from my understanding is like if so if I pulled data right um if there&#39;s say there&#39;s a certain neighborhood that I want to go after a certain County you guys are able to use Geo targeting and Geo fencing to where you can place my ads in front of that homeowner because I&#39;m providing you guys with the address something to that essentially yeah so geofencing or Geo targeting in reality can be applied in so many different ways okay for example law enforcement uses it to find phones at crime scenes wow that were there right or for people who play Pokemon go for that Generation Um if you&#39;re near poke Center that&#39;s when your phone will let you swipe for the balls right right or you go to Target you don&#39;t buy anything and the next day you&#39;re getting ads for Target that&#39;s geofencing wow yeah so this can be applied in a ton of different ways um how dataflick specifically does it is we&#39;re giving you our predictive list we&#39;re going to sort that by your buy box to make sure we&#39;re only reaching out to the houses you want yeah then we do geofence that mailing address so once we do that it&#39;s not just the phone anymore now we&#39;re able to send ads to all the devices in that house TV laptop tablet computer cell phone Etc so when we say ads or we&#39;re talking about like social media ads banner ads like what type of ads are we talking about so a few different kinds first is streaming commercials right so you&#39;re on ESPN streaming platform there&#39;s an ad do you watch Ted lasso by chance Apple TV no I don&#39;t gotcha great shot check it out but there&#39;s an ad you&#39;re on HBO at watching the office on peacock I can go on and on here so that&#39;s the first one second is the pre-roll videos you&#39;re watching you&#39;re on espn.com looking up highlight reels season&#39;s about to start that non-skippable ad that pops up oh pre-roll videos there&#39;s another place you&#39;re at then as you mentioned banner ads these are everywhere any site you&#39;ve ever really gone to right and lastly social media as well which is Facebook and Instagram so what about like cookies and stuff like that so we aren&#39;t using cookies because cookies are about to get shut down actually really yeah do your own research on that but there&#39;s been a lot of stuff around Google shutting down cookies no idea yeah I checked that out um but the beautiful thing with these ads because we&#39;re doing it how we&#39;re doing it it&#39;s not saying let&#39;s put 5000 into Facebook and let it ride or 5 000 into Banner ants it&#39;s saying wherever they go on the internet these ads are streaming to them right so if they are never on ESPN of course an ad is never going to be serviced to ESPN if they are only ever on those 14-page food blogs that are way too long for no reason to find that recipe at the bottom they will only see those banner ads pop up whoa but the whole goal is to saturate them where they are so this is almost like I&#39;m gonna say it&#39;s like PPC but it&#39;s it&#39;s a lot cheaper than trying to do a TV commercial on channel 2 news or anything like that it&#39;s a mix of that but it&#39;s also more targeted right we are picking the specific people we want to send these ads to or the specific homes right it&#39;s not saying yeah in Clayton County Channel 2 5 p.m there&#39;s Justin what&#39;s up yeah no it&#39;s more so oh we got Greg Smith here at 123 Main Street the most common address ever yeah we&#39;re going to set at his house [Laughter] that&#39;s hilarious dude um so it&#39;s very specific to where we&#39;re not wasting on marketing dollars exactly like you said it&#39;s not just say at 5 PM you&#39;re gonna air whoever sees it sees it this is more specific more targeted so that we&#39;re making sure we&#39;re getting in front of the right people exactly got you okay so data Brokers right I want to talk about data Brokers because watch some of your guys interview some of your podcasts and I I keep hearing the word data broker float around what the hell is a data broker gotcha so data broker or um Theta aggregator raw data providers it&#39;s essentially these massive companies who their whole job is to get raw data gotcha right and whatever specialty they have so whether it&#39;s more on the demographic side more on the housing side more on the economic side whatever it is they&#39;re just massive data aggregators and AI companies like us utilize them to get all this data in Mass to then run it through our models wow gotcha yeah okay let&#39;s talk about some wins man um you guys have quite a few users right how many users you guys currently have right now about 75 to 80. okay I&#39;m wearing that so that&#39;s good so it&#39;s not like there&#39;s a ton of people getting access to this data it&#39;s very exclusive then 100 where we only want to work with people who a we think we can truly help yeah but B we can build that relationship with okay gotcha yeah so are most of those people using Geo targeting or is it like half and half or um I would say more so start off with just the data to test the data make sure they like it then get into the geofence and Geo targeting range right because the beautiful thing about the digital ads is yes they may get you a deal or two but that&#39;s not really the goal of them right the goal of them is to boost every channel under it so imagine a massive funnel yeah in reality investors start in the middle of that funnel they start with immediately I need deals here&#39;s PPC here&#39;s cold call here&#39;s text here&#39;s Direct Mail let&#39;s get deals but if you look at any other industry besides real estate yeah it starts at the top it starts with the trust Foundation people reaching out or them seeing you somewhere on TV or on the Internet and building that recognition to boost those at the bottom a great example of this do you know what Topgolf is yeah did you know there&#39;s a basketball version of Topgolf no I had no idea so I saw this commercial the other day I couldn&#39;t tell you the name of it to save my life but I know the thought of it right first thing I&#39;m going to do is search basketball Topgolf now we flip that to you we say okay yeah you know I have thought about selling that commercial was great what&#39;s the name of the company again sell my house fast and boom just like that your PPC is getting distant or they&#39;ve been seeing these ads for a month now it&#39;s really in their head they are primed to either selling to an investor or just seeing you everywhere and then they get a mailer from you a month later they&#39;re going to be so much more receptive you&#39;re just cutting down on those minimum touch points you have to get to yeah before hitting them with that bottom of the funnel mail okay so let&#39;s talk about cost right I know a lot of people are watching this are gonna be like man what is this cost it sounds very sophisticated it sounds intimidating is this even going to be affordable they&#39;re they&#39;re providing the skip tracing up front this thing&#39;s got to be astronomical right yeah what does it cost to get a county 100 so we do cost per County and it&#39;s like an investor license so essentially everything we think is worth reaching out to they&#39;re going to have access to for that cost now the cost is anywhere from 750 to 2500 depending the County&#39;s size um now we throw in discounts if you get multiple counties which you experienced yourself yeah um but overall that&#39;s how we do it for a six-month agreement paid monthly yeah and then we look at the digital ads and that&#39;s different the reason why it&#39;s different is we&#39;re not taking a management fee we&#39;re not taking ad spend overhead it certainly costs per send out do you have like a rough estimate of what that costs so we do have a 5k minimum on it okay the only reason being is we&#39;ve seen how 3500 performs versus 5K yeah and it&#39;s night and day so if you have that budget that&#39;s putting like putting it there to really Push It Forward will make a world of difference so 5K can get you on some streaming platforms 100 like a Hulu whatever the streaming platform is to get you in front of people and we&#39;re talking it&#39;s like a TV ad type style of course yeah compared to paying freaking 15 20 30 000 to be on like channel two for that five o&#39;clock slot and you don&#39;t even know if your avatar of a seller is going to be watching it 100 of course it depends the county too right right so Clayton you don&#39;t need to reach out to as many people verse let&#39;s say Harris Texas you may be closer which is Houston you may be closer to a 10K budget right but our minimum is 5K on that gotcha okay so let&#39;s talk about mistakes man we all make mistakes you know when we get into this business what are some of the biggest mistakes that you see a lot of the users make um I guess it&#39;d be the users that have a very short lifespan with with using dataflick right what are some of the big mistakes that you see them make whenever they jump on with you guys got you so this is actually one of the reasons why and I&#39;m sure you remember at the beginning of our sales call I asked you a ton of questions about how you plan to utilize the data how you&#39;re marketing now one of the reasons why I get into that so deep now is because we used to just let anyone who want to on they could have one cold caller in the largest county in the US and be like yeah we&#39;re fine give us the data if the data is great the color will be great but that&#39;s not really true depending the county you need proper marketing penetration to be honest right so going into Las Vegas with a single cold caller versus instead of that using I know we talked about prop stream which everyone has access but you can still be smart with building those lists yeah right so start with a more average list but build out that marketing power then upgrade that data source and that&#39;s going to take you so much further than you having great data but not being able to move forward okay I always compare it to let&#39;s say you&#39;re in a canoe in the ocean right you&#39;re trying to go over some massive waves there&#39;s a hole in your boat the first thing you&#39;re doing isn&#39;t getting a better paddle right you&#39;re either patching the hole in your boat and getting a bigger boat like that that&#39;s the answer there right yeah so same there you really gotta make sure those marketing channels are set properly so the data can do its job got you you guys let&#39;s talk about list stacking before I get into the other part what is list stacking yeah so list stacking um which is more common with prop strain batch Etc it&#39;s taking a few of those main distressors so let&#39;s say we really like absentee homeowners who have high equity and have tax default for example um that&#39;s the stacking so we&#39;re taking all three of those saying who fits all three of these categories great put them together there&#39;s the Baseline motivation level let&#39;s hit that list so list stacking is a little different than dataflix list in that regard because we&#39;re not saying oh yeah we have these three distressors let&#39;s hit it we&#39;re saying sure these three may be there but what else is going on in their life to see are they even worth reaching out to or not gotcha okay bro what&#39;s next for data fluke man a lot let&#39;s talk about it yeah so we have a few products currently in the works okay which I&#39;ll go ahead and say some but please don&#39;t start calling me saying hey yeah let&#39;s do it right now because it&#39;s not ready just yet um but one of them is flick ID what is that yeah so it&#39;s actually a pairing with our digital advertising okay how it&#39;s going to work is generally when someone visits your website it&#39;s an anonymous IP address right it&#39;s just saying oh yeah you had a visit cool we had 1 000 visits this month flick ID has the ability to uncover those unique visitors so now we&#39;re saying you&#39;re on our predictive data list you received an ad interacted with the ad and went to the site let&#39;s say You Then followed that lead form you still have motivation yeah I don&#39;t need to know your seller profile to know if you went through that full process there&#39;s a reason why you visited the site and went through four pages wow right so now that list of let&#39;s say a thousand a month is going to be the hardest list to hit um right so they just had hesitation didn&#39;t follow through but now if I go back and retarget them and that mailer that ad whatever it is that puts the nail in the coffin is what you need there oh wow right so when is that coming out that&#39;s coming out here soon um it will be included in the digital ad package um there may be a tiny charge to uncover them but that charge my guess will be under a hundred dollars a month is that going to be able to decipher because a lot of the issues that we have and it really stem from like we were doing PPC and Facebook ads was you get a lot of a lot of Realtors and wholesalers that fill out the forms right so is it going to be able to track the IP address and let you know if that was the actual homeowner or if that was just like somebody trying to wholesale you a deal or really trying to sell you what we&#39;re doing is uncovering them and then matching them back to our data set right so to a degree I don&#39;t want to say a hundred percent it&#39;ll clear all of them because we do want to just uncover everyone who goes to your site yeah even if it&#39;s a landing page we&#39;re building out for you or whatever it is which we&#39;re not there yet either so don&#39;t don&#39;t call me yet but um but yeah kind of getting a little deeper into that the whole point with this paired with our digital ads is initially we&#39;re already targeting the people we want to talk to and pushing them down that funnel so sure that random realtor may still hit you up but the majority should ideally come from that list we&#39;re marketing to gotcha right okay that&#39;s right click ID damn you don&#39;t have to put me on whenever that launches of course so what else so I&#39;m trying to figure out how much I uncovered spill it bro um so we&#39;re doing that we are also we talk about AI right um we use a ton of it in our day-to-day lives just when you say AI what it and you&#39;re using I what exactly do you mean by there using chat GPT like chat GPT is phenomenal first and foremost huge fan give me the details on what do you mean by air because everyone here is AI artificial intelligence I use AI for whatever yeah what do you mean by using AI in this case I am talking about artificial intelligence in the sense of if a person had 24 hours sure they could probably accomplish this task but were able to do it in 10 minutes gotcha right or even longer for the person but shorter for like it&#39;s insane what it&#39;s getting to the point of but pairing that with our raw data is what&#39;s making it so powerful for us too so we&#39;ve had the data on the amount of investor transactions occurring right the list size how big the county is all that we already have that&#39;s fine but using systems like this we&#39;re able to then create our own scoring system on that platform to rank the counties essentially right we&#39;re going to be able to tell you yeah and Georgia these are the top five counties based on the list size amount of investor transactions occurring and how well we did in that county that way we&#39;re not wasting time or money 100 trying to spend trying to get deals in a wasted County yeah one of the most common things I hear is either someone saying yep I want to get to 10 deals a month and I&#39;ll look at their County and there were 20 investor transactions that month I&#39;m like you&#39;re trying to take up 50 of this available market share and the county that&#39;s just that&#39;s just not it yeah or the second thing that I hear a lot is yep I&#39;m completely remote you tell me where to be and I I would say I&#39;m pretty good at it right I&#39;ve been in the data for a long time now yeah but there&#39;s still 3 000 something counties in the US yeah so once again utilizing this AI tool we&#39;re able to then dive deeper and yep these are the counties you should hit oh you want to do a ten thousand dollar I mean a 10 000 mailer yeah let&#39;s find the top this is where you&#39;re gonna have the most success based on the numbers 100 uh for example we look at Maricopa I keep saying them because they&#39;re just a huge County and a great example but in the top 25 of zip codes 75 of the investor transactions occurred wow right wow so applying that same logic to these mail lists that we&#39;re creating for people and things like that can take it that much further as well that&#39;s powerful bro yeah and we&#39;re doing this to some level now but it&#39;s about to get bumped up much higher here very soon all with AI over there all machine learning man that&#39;s the whole goal like I I wouldn&#39;t consider myself a dumb person I&#39;d say average to a person I appreciate it but there are things that I couldn&#39;t even imagine doing that these systems are like two minutes boom here&#39;s the full system oh you want to determine we even determined dataflick&#39;s pricing structure through using AI right like what should I price this County at oh there&#39;s a little too high amount of records for that County size let&#39;s take it and that was all AI whoa in like a 10 minute span like 3 000 something counties priced perfectly that&#39;s powerful that saves on you guys over it too because now you don&#39;t have to go out and hire like a data scientist so go get all this data for you guys you just get to use technology which is AI 100 to help you guys and catapult you guys to the next level yeah all right and that&#39;s not just us you guys can do this too right yeah so you can take theoretically all the past transactions you&#39;ve done all the data you can get on them right how many bits how many bats how was the roof made of if you can right yeah the price is sold at the price you bought it at Etc run all this through systems like Chachi pt4 code interpreter whatever it is to find out where&#39;s your ideal location that you&#39;re buying these properties at right yeah and you can do all this right now it&#39;s like 20 a month not to be a sponsorship to chat GPT or anything but I got you um are you familiar with platforms like in REI sift something yeah you guys ever plan on having anything similar so that&#39;s my personally I feel like that would be a great like an addition or a bolt-on because one of the things I&#39;m having to do now with the data is like I gotta track everybody I track everyone through callrail gotcha it calls through our Direct Mail pieces right where they so say yeah we want to sell or take us off the list I have to go back through the list so you guys provided and highlight in either red which means take them off or green which means they called in their interest then we put them in our CRM and if we had something that was that was able to take that off of our plate that would make things so much easier make you guys even more powerful if you guys could provide something 100 so we&#39;ve thought about that a lot um building out a full system at least to the degree that dataflick would want to build it out it&#39;s not a small overhead by any means uh we had thought about building out that pre-crm version where you can download your list there edit it um we even thought about adding our own version of AI into it like yeah it&#39;s not a no it&#39;s just a not yet it&#39;s the best I&#39;ll say all the the over it called some platforms like that and then spending one in the CRM it&#39;s like it&#39;s getting ridiculous now man it&#39;s it&#39;s insane bro I mean to me it&#39;s like it&#39;s only a matter of time before someone comes out with a product which is going to utilize AI to eliminate all these other vendors that are just costing unnecessary dollars you know what I mean on top of that um and this is pretty big segue to be honest but one of the most common issues that I find with sorting through people&#39;s crms pulling that data is just a common form like a verified data knowing this is the mailing address this is the property address this is the homeowner this database double checked with the county and I get the county every single County logs everything very differently but that&#39;s another I don&#39;t think impossible Direction it could take or even matching it with maybe not the county but with raw data providers to have like a double check there I think that could be very powerful as well in that regard one thousand percent man that would be very powerful what else bro what else what else y&#39;all got coming down the pipeline well so I did say we have that Realtor product um we&#39;ve been it&#39;s not my beta testing it now but we&#39;re about to really go live with it um to be honest the results on it are a little better than the investor results and the investor results were predicting seven out of every 10 investor transactions that occur on average yeah right but the Realtors even that much more and when we talk about brand Equity really positioning yourself in the right spot yeah it matters so much to Realtors to Realtors their name is everything oh yeah well we look at investors the majority of them are cold calling texting and we talk about okay I&#39;m gonna go down another teacher go for it we talk about how archaic real estate investing is these days the majority of marketing we don&#39;t say are company name that is a mind but imagine if a health insurance company cold quality right they didn&#39;t tell you who they were and was like yes so you&#39;re going to sign up right you automatically think scam 100 someone&#39;s calling about my car&#39;s extended warranty whatever it is right and that&#39;s not to say cold call and texts are bad think they have good reach good coverage if done right depending the county callers a2p10 DLC regulations All the Above but for a realtor your name&#39;s everything yeah so building that brand awareness through our digital ads first to push them down that funnel to where they get let&#39;s say a branded mailer from a realtor were very high hopes so you do you guys have like hybrids that are like licensed Realtors and investors or people that are just straight realtors that are having a lot of success using you guys yeah so we do have a few Realtors testing that&#39;s honestly one of our um main partners with dataflick he&#39;s also a realtor as well so everything we&#39;ve done we&#39;ve tested first right so is he split testing because like with what we&#39;re doing with our Millers right it&#39;s strictly for investing right so is he doing like separate campaigns so to speak for the realtor side and the investor side to a degree but a lot of times that&#39;s overlap and if you&#39;re going to look at the overlap the investor products the better move right so going back to the Omni Channel marketing of hitting them every way you can yeah same on the exit strategy the more ways you can dispose sell profit off a house just some more options you&#39;re going to have to utilize our list if you&#39;re able to do the Creative Finance the novations the list if it&#39;s a good list the whole tail Fix and Flip wholesale although above right the more options you give yourself just in general the better it&#39;s going to be yeah wow okay yeah man I&#39;m gonna have to tap in on that side because he&#39;s in like the market share for people that sell the home it&#39;s like only about 10 to 15 percent is through like cash deals or on the investor side average 10 percent to investor transaction and follow the transactions that occur in accounting so you&#39;ve got freaking 90 of the people that sell are selling the traditional way and there&#39;s not that many people out there it&#39;s Realtors at least marketing no that are marketing and utilizing the data to get in front of these people now let&#39;s get one thing right the amount of Realtors right now is insane oh yeah right but the amount of no offense the amount of Realtors marketing properly is very little they&#39;re taught to do word of mouth Zillow leads whatever it is in that regard yeah when there&#39;s no hanging fruit 100 and that&#39;s I get it you have to start somewhere everyone doesn&#39;t have seven thousand they can drop monthly for five months and get consistent results I completely get it yeah but as a realtor does build up referral word of mouth it&#39;s great but if you&#39;re talking about in one County there&#39;s twice as many Realtors as there are properties on the market word of mouth is only going to go so far these days whoa and I think the other average stat is I think 70 of people who buy or sell go with a different agent than they did last time so there&#39;s constantly 70 yeah it&#39;s a higher so that means there&#39;s about because one of the issues we always face right because we offered a list of properties not through us but through our Affiliated relatives we do business with one of the issues is every time we say that say 99 of the time and say I have a friend or family member who&#39;s a real estate agent but you just said 70 use a different realtor when they go to sell or buy so that&#39;s 70 of the people correct me if I&#39;m wrong that don&#39;t personally know a realtor because if you&#39;re using a different realtor don&#39;t know a realtor or if they got reached out to by a more impressive and they have more confidence in this realtor like I have a lot of friends who are realtors some of them are great some of them average yeah yeah like there&#39;s that level of hierarchy and Trust so if you&#39;re able to Market to them properly without them even really knowing your like no one ever asks how to get my IP address to send me this streaming ad right yeah so if you&#39;re able to build that trust that sense of whatever you have we&#39;re able to handle it and make you profitable and happy on the back end that&#39;s going to push people to you even if they have someone on the sides um the majority of the time yeah one thousand percent what else man is there anything else you want to spill the beans on I feel like I&#39;ve spent a lot keep [Music] I mean everything else is probably too far ahead to really talk about so you guys got stuff in the works of course yeah um let&#39;s just say we&#39;re probably not going to stop at real estate okay that was actually about to be my next question was are you guys gonna get into other sectors other spaces because I know you right now it&#39;s just real estate but data goes a very long way data is a horizontal thing meaning it can go across many different Industries the top companies utilize data to Target Their audience right so what when I say what&#39;s next for a data flick I know you talking about what you guys are going to do in the real estate space but big picture what are we talking about here no that&#39;s fair and this is big picture right so just like investors we want to make sure that we are going deep enough in the current market making sure our systems are set properly people are utilizing it properly before we expand we don&#39;t want to be like yeah we have half a product here let&#39;s go into solar right like we want to make sure we&#39;re doing it properly growing the realtor side as well doing that properly then expanding as needed yeah but it&#39;s almost as you said here man right like data is universal marketing is universal it&#39;s the most important thing you can use man so using our systems and our data we&#39;ll be able to essentially build ICP lists an ideal customer profiles and then Market to that company&#39;s exact criteria have you guys like identify I guess the immediate next type of sector you guys want to go after it will probably be a horizontal one so something similar to real estate like maybe mortgage maybe solar something&#39;s still revolving around housing gotcha that&#39;s probably the next and easiest step yeah but once again we want to make sure real estate is nailed perfectly first before we expand wow bro that that can be massive because you guys are not just providing the actual data with when you bolt on the geofencing as well and then everything else that you talked about that&#39;s coming up through the pipeline or dataflake it&#39;s a game changer that can really separate you guys from from the competition so anything else I&#39;m gonna leave it there there&#39;s a few things you may see in a few months but I&#39;m gonna leave it there for now gosh well listen man you came out here you gave a lot of good gems a lot of good value I appreciate it man guys if you guys are watching this I hope you guys really tuned in and listen Rami came on he dropped bombs there&#39;s a lot of value that he gave please like share subscribe comment your favorite part about this video until then I will see you guys on the next episode

Transcript for:Geofencing and Dataflick in Real Estate

Transcript for:
Geofencing and Dataflick in Real Estate