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Perpetual Traffic
How The Tier 11 Data Suite Pinpointed $2,304,177 in Lost Revenue for Airsculpt®
00:35:21
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- [00:01]
A
Hey folks, Ralph here with something that could seriously upgrade your Top of Funnel ad game. If you've been a PT listener for any period of time, you know that we talk about Top of Funnel all the time and how challenging it is for you to get quality Top of Funnel clients or leads or customers and then convert them typically at Bottom of Funnel. Well, TV advertising is one of those areas that we haven't discussed here on PT all that much. But our friends over at Ad Critter have figured this stuff out. They do connected TV ads so you can be everywhere without spending millions on super bowl ads. But they pair it with display retargeting. So you're hitting the audiences with a complete approach. You reach them, then you remind them and then you collect the revenue. It's a strategy designed to deliver and let me tell you, it really works. We're testing this at tier 11 and so far the results have been very impressive. Now with Ad Critter, creating custom audiences are so easy. You don't need to reformat files, you don't need to mess around with complex spreadsheets. You just upload any file in any format and you're ready to go. And the match rate is awesome. They make it easy to connect with the right people, the actual people that have interacted with your ads in the past and then allow them to naturally flow through your funnel so you can convert them at bottom of funnel. Now, the folks at AdCritter, we twisted their arm to get us a great deal for you, the PT listener. They are offering a special deal for y'all and that is you can get a $500 campaign credit, meaning $500 in free money to test out the platform or dollar for dollar matching on any TV campaign up to five grand. Imagine the impact of that match spend five grand. The they'll add another five grand in display. That's a huge opportunity here. Now it's only offered to you, the PT listener. Head over to AdCritter.com PT and check it out. Hello and welcome to the Perpetual Traffic Podcast. This is your host, Ralph Burns. I'm the founder and CEO of Tier 11 and today we are going to be presenting a case study which I did on another podcast, Rudy Maurer's Living the Red Life Podcast, where we actually talk about how we found $2.4 million in revenue off a half a million dollar ad spend that we had no idea it was attributed back to our ads until we went through what we now refer to as the Tier 11 data suite. We're going to be talking about in this podcast here quite a bit about Wicked Reports. Also two of the other Martech platforms which we really haven't discussed as much and we'll be discussing a fair amount in the coming months. Inside Tier 11 data suite we don't talk about, but they're actually working behind the scenes in order to be able to show these results. So if you're in the service space or you're even in the E commerce space and you have a longer sales cycle or a lot of your clients and customers purchase a low ticket product and then you ascend them to a higher ticket product, this case study is going to be particularly relevant for you. Because once you go outside of that seven day or even the 28 day attribution window, when you're spending money on meta ads, you have no idea whether or not your ads actually were returning or giving you any sort of revenue unless you have an unlimited attribution window. So we talk about attribution windows here just a bit. Remember, the default setting for your attribution window for both optimization and reporting inside Meta is a one day view and a seven day click. However, Meta does have a 28 day click reporting window that you can use in app. Sometimes accurate, sometimes not, but at least it's better than just seven days. So in this case study we talk about a two step process to sell 10 to $15,000 medical procedures in the body sculpting space. These are very large purchases, take a tremendous amount of consideration, are usually paid for by credit card, are not covered by insurance, so they do have a longer sales cycle. And that is the beauty of having an unlimited reporting window, an unlimited attribution window if you will. Still, the ads themselves are being optimized for 1 day view 7 day click as it is the default inside ads manager for your meta ads. However, your reporting window only goes out to 28 days. So what happens if somebody buys today, buys a low ticket purchase, but then 60, 70 days later they buy the 10,000, the 15,000, the $20,000 procedure, it's not going to be shown inside of meta. And that's the key to this whole study. So unless you have tier 11 data suite, unless you have a sort of an amalgamation of different tools, you're not going to really know whether your spend was worth it, whether it was actually returning on that ad spend or return on ad spend, otherwise known as roi, unless you have these tools. So we go into this today super important case study for anyone who has high ticket sales, higher ticket meaning maybe there's a first step, an opt in and then later on there's maybe a five figure sale or maybe a six figure sale in some cases. We do this in a couple of different niches where we use this exact methodology because it's so vital to be able to sort of piece it all together using flawless clean data. So without further ado, here is the podcast with myself and Rudy. Hope you enjoy it. You're listening to Perpetual Traffic.
- [05:56]
B
Multi Objective buying or mobu is now the reality of how we do business today in marketing in 2024 and beyond. So this case study was just example of dozens in which we try to figure out like where is the revenue coming from and then how is it not necessarily a last click attributed but where did it start and do more of that where it started and get more customers at the top of your funnel and ultimately track them and scale and grow businesses.
- [06:25]
C
My name's Rudy Moore, host of Living the Red Life podcast and I'm here to change the way you see your life in your earpiece every single week. If you're ready to start living the red life, ditch the blue pill, take the red pill, join me in wonderland and change your life. What's up guys? Welcome back to another episode of Living the Red Life. Today we're going to talk about advertising, specifically Facebook and how it looks in 2025. We're here with my friend Ralph Burns, very famous marketer, advertiser, actually one of the original people. I learned back, you know, 10 plus years ago when I really got into this and started spending millions of dollars. It's got very famous agency tier 11 and he just came back from the Facebook HQ where they were diving into more the omnipresence ecosystem of advertising we now live in. And in just one account they found $2.3 million in revenue and sales that wasn't attributed to the original ad but was still caused because of Facebook advertising. So Ralph, welcome to the show.
- [07:26]
B
Glad to be here. I feel like I should have red on but I'm wearing the wrong color. But forgive me for that, but thanks for having me, bud. Great to great to finally be on and obviously to meet you a couple of weeks ago.
- [07:38]
C
Yeah. So look, let's dive in a couple of things out the gate and we'll dive into it more to the show but advertising's changed a lot. We talked about it offline like you know, it used to be more add to landing page to offer make a sale easy. Now we live in this like world where so many things have to come Together because the buyers are more sophisticated and there's so many more touch points. So can you dive into a little this whole like multichannel buying system and there's 2.3 million that you found on this one account for anyone that doesn't fully understand it?
- [08:15]
B
Yeah, I think when we first started, we first started listening to perpetual traffic way back when it was much easier. I mean most people and most of the clients that we had in those days, even up till maybe three or four or five years ago, were just multiple, just one channel. It was just basically it was Facebook and then maybe a little bit of Instagram and then so your direct traffic always came from that. But then you could track back to Facebook specifically your ad spend and it was pretty easy to figure all this stuff out. So. But since then it's gotten a lot more complex. I think a lot of the businesses that we tend to work with right now are multi channel and they, yes, they might use Meta and the Meta platforms as the basis for a lot of their top of funnel, but they tend to. Because we have a Google division, we have a full social division, we have a creative division and after the Qlik division we integrate everything into it. It's much more complicated to figure out which channel is actually the one that's pulling for you at any given moment in time. And you know, the example we can use here today is from Meta. But the same could be said on a lot of channels. Like we just met with TikTok marketing this morning. TikTok for business this morning. They have the same sort of challenge with TikTok now. They've got sort of more of a full funnel offering now, which is great and a lot of new stuff that's coming out. But the point is, is even if you're, you're doing YouTube and you're doing anything that has a view and not necessarily a click, it's really hard to measure that. And in this particular case, this is one that I presented at Meta at their agency conference this past week in New York City. They're really interested in finding out more about this because I think a lot of us as marketers, we tend to just go for website conversion campaigns, which is probably what you started on. Like I was heavily leveraging for years and years and now this idea of what Meta now calls multi objective buying or mobu, which we sort of termed it last week and we decided that's what they were going to call it, is now the reality of how we do business today in marketing in 2024 and beyond. So this case study was just one example of dozens in which we try to figure out like, where is the revenue coming from? And then how is it not necessarily a last click attributed, but where did it start? And do more of that where it started and get more customers at the top of your funnel and ultimately track them and scale and grow businesses.
- [10:53]
C
Yeah, it's fascinating. So, you know, I've always been. Facebook's been my main driver and as I mentioned briefly, like I, I ran ads when I was back living in the UK for my fitness brand and my personal training and dabbled with it. And then when I moved to America, I got way more serious and, and scaled and spent millions and, and you know, it was very fortunate because I got to learn from people like yourself. And you know, back then it was more like the straight to, you know, straight to ad byproduct. Jobs are good. And you know, I didn't even need organic really back then and all those things. But in my latest business, which is more my coaching, consulting side, we scaled. We did about 25 million in the first two or three years. And I came into this business obsessed with tracking, which I wasn't in previous businesses, but I kind of learned it over the years. And we actually, you know, we have a lot of high tickets sales, team sales too, from 2,000 to 100,000. And every single sale that's ever come through that made up that 25 million, there's a Slack channel where it zaps in. And then we actually have a va all the CRM data and we look at the original source and the call recordings in there and all the payment plans, all the other things you need to know. And I'm always fascinated about the source because, you know, we'll sell a 20k or a 50k sale and it's like they bought your Black Friday offer that was a Facebook ad, you know, and every funnel is labeled. We create separate funnels for every channel because no matter how great tracking is, I don't trust it. Like, we have a funnel for every thing. So this is like the Black Friday in 2022. Dash Facebook. And it's just so fascinating. And I think a lot of clients or people you work with, I'm sure and me, they don't understand this because they like say their ads aren't that profitable. And I'm like, look, even if you're breaking even with your ads, you don't understand the ecosystem and the ripple effect it's creating around it. Right?
- [12:56]
B
Yeah, yeah, yeah. It's really hard I mean marketing is hard, otherwise everybody would be doing it and making millions. But the point is, is that like most businesses are most skill, you have to learn it and you have to do a lot of trial by error. I mean, I think I'm with you. I don't trust tracking. When I see something, I don't believe it. And you know, we've, you know, the, the tracking software that we'll talk about here today. Like we were very skeptical of it to start. Like we've invested in all of them heavily. I mean we spend hundreds of millions of dollars per year on Google and then as well as on, on, on Meta. I don't even know how much we spend on Google now. It's like it's a, an extraordinary amount. So anything that I see, I never believe it. But when the data is so clear, but it's not reflected inside the app itself, but it's outside of the app and a third party software, you really have to believe. And then you see it in the CRM, you see the physical sales in the CRM. There's no denying that that came from somewhere. You have to sort of backtrack and figure out where the hell did that come from. Because this unattributed or unknown in Google Analytics is going to drive you crazy. Because unless you're actually tracking from, you know, your Black Friday campaign in 2022 to your Black Friday campaign or your Memorial day campaign in 2024, you might not ever know where that person first interacted with you. And that's data you should know. And it's never going to be perfect. And even in this case it's not perfect, it's about 90%, but that's pretty good. So I think just this idea of everyone should be skeptical about any sort of tracking and any sort of third party application that says, hey, I'm going to tell you exactly where all your clicks come from. I'm going to tell you exactly where your roas is from. I think it's a bunch of bull crap. You've got to figure it out for yourself. Yeah, but until I saw it, then all of a sudden it's like it's plain as day. Here's where it came from and it makes sense from a buyer's journey standpoint.
- [15:11]
C
Yeah, let's talk a little about, you know, how, why we're in this position now, right. So you know, advertising in 2024, 2025, how it looks next year, why is it becoming so complicated from a tracking side? And it's because it's the way the users interacting. Right. Like people are being used to see an ad, buy an ad and jobs are good. But now I think trust has changed a lot. People shop around, they want to follow you. There's a lot more competition. So, so how do you see this multichannel buying and what can people take away today to apply into their own marketing strategy to get ahead of this?
- [15:52]
B
Yeah, yeah. I think just accepting the fact that you know, there's going to be multiple stages and we can track this, you can actually see it in the, any attribution software. There's multiple clicks, there's multiple things that somebody does before they actually end up buying. If you've got, you know, a, a, an impulse buy for $7, there's probably not going to be a very long buyer's journey. However, if you're selling $150,000, you know, steel buildings or in this particular case of our case study, you know, 10 to 15, $20,000 procedures, that is going to leave like some clues along the way. It's up to you to sort of stitch it all together. And sometimes even if you don't have tracking, as long as you have access to the CRM, the source of truth, and you're looking at a reasonable timeframe, a lot of times you can figure it out. We just have a way in which to do it that you can actually track it all through into perpetuity and figure out what was the first interaction outside of the seven day or the 28 day window for the platform where they actually did buy these 15 to $20,000 procedures later on and then attribute that back to the original click. That's the part that stitches it all together. That's where you do need a third party integration and in my opinion, I think it's absolutely a necessity now. And you know, our favorite is Wicked Reports. But we also love North Beam. You know, we're investors in both companies. North Beam is extremely good for enterprise, but for the small to mid sized player in the market, Wicked Reports is just the best from our perspective and we see a whole lot less when it comes to unattributed or unknown. So that we can sort of connect all the breadcrumbs back to the original interaction and do more of that on the original interaction to ultimately scale and grow from a new customer standpoint.
- [17:52]
C
Yeah, I mean we, whenever we're, you know, clients in our programs and stuff, we tell them as soon as they're ad spend, it's getting, you know, relatively serious and they're spending more than $10 a day sort of thing. You know, move into a software like Wicked and really tracking that is so important. And we have some clients, you know, spending a grand a day and it's like look, you're spending 30 grand a month, pay $500 for the damn software because you're going to make way more back knowing, making better decisions. And I, you know, I've, I've known Scott and use WICKED for a long time probably because of, you know, your advice and tried Hiros and all these different ones. And, and it really is crazy, especially in the last few years, the difference in the ad manager of like what it's showing, it's reporting and then like what you're seeing from you know, a software like Wicked. And then what's even crazier is like over time when you look at LTV and is starting to attribute these people, it's just it, it turns what people look as is ROAS and the ads on their head a lot of times and stuff you killed, you shouldn't have killed stuff that you know, you thought was doing well, wasn't doing as well. And I think knowing that data so important and most people don't, which is why they don't scale.
- [19:12]
B
Yeah, yeah. I mean in this particular case, I mean it was a conversion lift study that we did through Meta. They sponsored it and we did it and it showed an 85% lift in conversion, conversion lift over a month's period. And we're like wait a second here. We know this stuff is actually working, but now let's actually stretch it out. And until we looked back through our WICKED data, now we have a combination of three things. We do WICKED reports as our interface, but our pipes are from blot out which anybody can get like their edge tag is absolutely amazing. It sort of obviates or eliminates a lot of the issues that you have with iOS 14. And then we store that data in our own first party warehouse, our first, our data warehouse. So those three things actually sort of work together and people can set it up or the only agency that can set it up specifically with all those vendors. The point is, is even if you're using any third party attribution software, you can start to stitch this all together. And for us it was, it was just a simple matter of this is in the body sculpting space. These guys are spending $1 million a month. Point was, is that we started doing a, a sort of a, a free Botox injection special and we were getting a lot. It's A great offer. First off, you have to have a great offer, but that's an awesome offer to get somebody in the door, get the foot in the door. And then obviously once they get in, they're tracked through their CRM. Their CRM, unfortunately, was 25 different locations, which didn't all talk to each other. Rudy. So, like, you're shaking your head like, oh, my God, like, how did we stitch all this together? We eventually did like a manual upload, you know, 30 days, 60 days and 90 days. And then we found that through those initial free injections. Like, that's a. Once again, it's a great offer. Okay. Free Botox. Once they're in there, then the therapist then upsold them to another procedure. And Those procedures are 10, 15, 20 grand, but they don't happen on that day. So there's a 30, 60, 90 day lag in some cases. In most of the cases, we're done 30 to 60 days out. Upwards of. Upwards of 90 days. So unless you have an infinite look back window, you're never going to be able to figure this out. So if we looked at Facebook for that month that we spent all that money on those free trials, it looks like the campaign was a total disaster. Like they had lost hundreds of thousands of dollars. We're like, wait, you know, let's give this some time. We're also a little bit in the dark as to what was the upsell process going to be like once they actually got in the door. You've got 25 different locations, all with different, you know, CRMs that don't really talk to each other because they kind of cobbled this all together through acquisition. So there was a lot of risk on our part. And so we just waited. And then day 60, they're like, all right, we're starting to see some sales coming in. And then all of a sudden, when it was day 90, when we uploaded the data through Wicked, we saw this 2.3 million on a spend that was a couple hundred thousand now. Yeah, they had to figure out. Exactly. All right, well, based upon that, at 2.3 million from a couple hundred thousand was like 220,000, I believe, in ad spend in that promotion. What was their margin? Their margin was actually really good. So business wise, it worked out. But originally, like holding on through those first 30 to 69 years, that was the hardest part. And I know there's people that are listening in agencies and consultants that are dealing with this same thing. They're like, cut that thing off, you know, cut off your YouTube ads. You're spending all this money and the the roas in app is 0.6. That's a loser. Well those ads, even though there isn't a click, those ads might actually depending on what your life cycle is for your, for your customer journey, those ads might really pay off. 30, 60, 90 days down the road depending on what the lifecycle is for the client. And for this one it really worked out well. So it was that conversion lift study that gave us the confidence to be able to do it and then that then allowed us to hang on and then we were able to sort of attribute it back through all these third party data platforms.
- [23:32]
C
But that, yeah, I mean, sorry, I was just gonna say, I mean I think that's like where it comes back to the knowing your numbers side. Like whenever we're advising now members in our masterminds and stuff, one of the biggest things is knowing hey, we always work back from LTB, right? And what's your break even point at 30, 60, 90 days and 99 of businesses have no clue on that. And then like you know, unless you're a business that does a one time transaction, which is very rare and probably not a strong business these days, like you have to know that especially like I've run ironically very similar offers, you know, great mind, single eye. We did red light therapy, free sessions to get people in the door. We've done like a sculpting stuff too and it crushes it. And the reason I was laughing when you told me is local practices and that CRMs are just like the worst. So I got you know, trying to figure that out. It's a nightmare. But they were upselling to a 2 or 3k offer and you know, we did it more pen and paper way saying okay, we know 1 in 10 will upgrade statistically based on your last 30 days. That means every lead is statistically for every you know, 10 that that show up is worth 200, 200 to $300. So if we're paying $20 a lead and wanting to show up, that's $40 for a showed lead and it should pan out to be 2, $300. And I think mapping that out is so important upfront. Whether you're an agency or the business owner, you need to know that sort of how that should map out and pan out because most great campaigns are going to go in the red to start scale and if you don't have that like you know, life cycle and understand the path forward then you will make bad decisions. And you know, the ad manager I think half of it is an emotional battle, right? Not just a battle in the actual campaign. It's making the right decisions with your money and your budgets and all those things.
- [25:31]
B
Yeah, yeah, I couldn't agree more. Getting, getting business owners to sort of wrap their head around the longer view is hard. I mean, we're both business owners, we get it. You know, we're looking at our P and L every single month. But, you know, if you invest today and the payoff is tomorrow, like the signs showed pretty well in this particular case study and we've got dozens that do the same sort of thing. This was the longest period of time we had to wait. In most cases it's, you know, less than 30 days, which is great. But oftentimes it really is a bit of a leap of faith, especially after you sort of tap out of those website conversion, you know, campaigns. Just going straight to an appointment setter or high value keywords for like, you know, Brazilian butt lift on Google. Like there's only so much search traffic for that. So this was a higher level strategy to get to a level of scale. And thankfully the client went along with that even though the CRM was sort of cobbled together.
- [26:30]
C
Good, good. And I love that breakdown. So guys, hopefully that starts to make sense now about, you know, understanding all those data points, the lifecycle and really understanding going into 2025. Facebook is not about any more. The sale on day one, how much did I make? It's about. It feeds the ecosystem, right? It's the true top of funnel. And I often say, unless you're a massive influencer, you know, you're on TV or some famous celebrity, you've got to buy truck. You need traffic, right? You need people to know about your brand. And it's not always going to pan out one for one on day one. It's more about the ecosystem and the lifetime value now. So I love this breakdown. Ralph, couple of quick questions as we come towards the end of the show for you. So let me dive into this first one. This is, you know, in general about business now because you are obviously a marketing Facebook master, but also built a very successful agency and big businesses too. So first one, what is the most controversial belief you have around money or business or marketing that upsets people?
- [27:42]
B
I would say you can't do it yourself. I think that the, the moment I realized that it can't just be me and a thousand helpers, it has to be me finding people who are actually complimentary, not meaning like kiss my ass, but I still am the boss. So that's bound to happen. But complimentary to my skills. Like for me, I'm not a great systems guy. I tried to create systems and as soon as I realized, okay, I need to find people to do this, and I've had two or three people that have now done this. And the CEO that I have right now has been instrumental in us implementing Agile scrum throughout the entire agency, which is now so common in Fortune 500 companies. It's not something I would ever do, but sort of, you know, that belief I think that a lot of entrepreneurs have when they first start out is that they have to do it themselves is a misnomer. It's like find people, find the areas where you're really not that strong and then hire somebody as good as you, if not hopefully better. And it's just going to help you scale and grow.
- [28:47]
C
Love that next one. Biggest success or achievement or most money made. And how did that happen?
- [28:56]
B
You know, when I started this thing, all I wanted to do is pay for the health insurance, quite honestly, because my wife was sort of carrying the team at that point. But I remember when I got to a hundred grand a month, I had my first $106,000 month. I was like, I can't believe I've created this out of nothing. Ever since then it's been multiples of that, which is great, don't get me wrong. But that first time I remember I was like a buddy of mine was coming into town and now I'm a big baseball fan and I bought like front row tickets to the socks versus the Chicago Cubs. I thought I was like such a baller dude because I was making 100 GS a month and you know, my best year in the corporate world was like 250 or 200 or whatever. It was like, I would say that was my biggest. I was very happy, very proud of that. And then, you know, it's. Yeah, after that it's kind of, it's kind of a let down a bit.
- [29:57]
C
Well, I think that's good though, because I'm the, you know, I think those early ones are even better than the like million dollar months. Like I remember vividly sitting on my couch when I had my first $5,000 day because that was a goal, you know, and, and yeah, those ones are great. I, I do like that one. So, biggest mistake, the opposite of this. What's the biggest mistake or error that's cost you and you've learned from?
- [30:22]
B
I think it's one that I always refer back to When I was first starting out, I was actually in the corporate world, and I started my own information business. Not as successful nearly as yours has been, but mine miserably failed. But I wouldn't let go of it. And it was for. It was a training program for sales managers because I was at that point, like a director of sales for a Fortune 500 company. But I was like, all right, well, if they find out about this thing, then I won't get fired. Well, they eventually did find out about it and figured out a way to get me fired, but nobody wanted to buy it. And I realized I just kept trying and trying and trying. It's like managers don't care about getting better. And plus, the training that they get, they usually get from the company. But it took me like two, three years to cut bait on that one because I was so emotionally tied to it because it was my first online business. I should have. I stayed on way too long. So there's perseverance and then there's stupidity, and I think that was just perseverance. Stupidity on my part. So good.
- [31:32]
C
And last question to wrap up the show and we'll end there. If you could go back in a time machine and teach yourself one or two things to help you become more successful today, what would it be?
- [31:45]
B
I wish I paid more attention to finance in college because now that I'm in business, it's. It's the first thing I look at every single day. It's the last thing I look at before I go to night at bed at night. I mean, it's. It's the most important thing. And I think entrepreneurs just in general are sort of big idea dreamers, but you also have to have a real dose of reality when it comes to the finances. And your P and L matters, like, you know, no profit, right?
- [32:16]
C
Yeah, especially like we've got. It matters more than when you had 10. Yeah. I mean, it's easier then.
- [32:22]
B
It's much easier, and it gets more complex. So, yeah, I wish I had studied that a little bit more. I've told my kids that now, so hopefully they'll learn from my mistakes.
- [32:30]
C
Great. All right, guys, well, that's a wrap. I hope you enjoyed today and as always, keep living the red life. Take care.
- [32:38]
A
All right. I hope you enjoyed today's show. We're going to leave links in the show notes to make sure that you understand this concept. Attribution windows and optimization windows are two different things. Keep that in mind. Optimization windows are how your ads are being optimized within the platform. Okay. And there's two settings for that. There's one day or there's seven day, depending on how many conversions that you get within one day or within seven days. Those are basically your options. However, the reporting window is slightly different than that. It could be one day view, could be seven day click, or it could be 28 day click. And that is actually seen within the Meta Ads Manager. Just so you're clear where it is inside Ads Manager itself. If you actually go to columns and you go all the way down to compare attribution settings, it's the first dropdown inside Ads Manager. That's where it's located. I know a lot of people don't even look there. If you have a longer sales cycle up to 28 days, you can capture additional conversions. If you actually look to that for your settings, it will not optimize your ads for 28 days, but it will report on your ads for 28 days. Now, some of that data is modeled. It absolutely is. It's not absolute clean data. That's one of the beauties of tier 11 data suite. Some of the things we talked about here today on today's show, however, you can use the platform itself if you do have a longer selling cycle, a longer conversion window outside of that seven day, which is the default one day view, seven day click. So we'll leave links in the show notes for that because it's really essential for you to understand all this as things get more and more complex in 2025 and a lot of this data is going to be obfuscated. It's going to be a lot of privacy laws that are coming down the line. 42% of Americans right now are covered by some kind of privacy law. And we're going to be talking about that a lot in Perpetual Traffic in the coming year because that number is going to go up to 60 or if not 70%. And it's something that you have to be prepared for in your marketing. So keep it tuned right here to perpetual traffic in 2025. We'll make sure that you're armed with the most helpful data possible in order to help you reach your goals in the coming year. So we'll leave all the helpful links that I mentioned here as well as on the show over@perpetualtraffic.com make sure that you do subscribe to our YouTube channel. That's perpetualtraffic.com YouTube. So on behalf of my awesome co host, Lauren E. Petrulo, who is sitting in the someplace warm right now while I freeze my ass off here in Boston until next show. See ya. You've been listening to Perpetual Traffic.