Ralph is sharing an episode he was on of ‘Living the Red Life’ with Rudy Mawer. In this episode, Ralph breaks down a powerful case study showing how his team discovered $2.4 million in revenue from a $500,000 ad spend using the Tier 11 Data Suite. They discuss the importance of attribution tracking beyond Meta’s standard 7-day and 28-day reporting windows, particularly for high-ticket offers with long sales cycles. Ralph shares how a strategic offer—a free Botox injection—led to upsells worth thousands of dollars, but only became visible through long-term attribution tracking tools like Wicked Reports. They also touch on the challenges of managing data across multiple disconnected CRMs, the evolving complexity of advertising in 2024, and the critical role of understanding lifetime customer value. This episode is a must-listen for marketers navigating multi-channel ad strategies and long buyer journeys.

Chapters

• 00:00 – The Starting Gate: Where Strategies Take Shape
• 00:05 – $500K Input, $2.4M Output: The Revenue Alchemy
• 01:56 – The Two-Step Secret: From Small Ticket to Big Wins
• 02:57 – Digital Detective Work: Tools That Reveal the Invisible
• 03:56 – MOBU Unlocked: A New Era in Ad Buying
• 04:24 – Rudy’s Red Pill: Marketing in 2025
• 05:41 – Chaos to Clarity: Multi-Channel Mastery
• 11:18 – The Attribution Game: Third-Party Tools Exposed
• 18:09 – Botox & Big Numbers: The Case Study Playbook
• 24:31 – The Crystal Ball: Marketing’s Future Revealed
• 25:08 – Lessons from the Trenches: Ralph’s Business Playbook
• 30:31 – The Final Frame: Key Takeaways Locked In

LINKS AND RESOURCES:

• Get started with business tools from Meta
• AirSculpt
• About attribution windows in Meta Ads ManagerAbout attribution windows in Meta Ads Manager
• About Meta Ads Reporting
• Tier 11 Jobs
• Perpetual Traffic on YouTube
• Tiereleven.com
• Mongoose Media
• Perpetual Traffic Survey
• Perpetual Traffic Website
• Follow Perpetual Traffic on Twitter
• Connect with Lauren on Instagram and Connect with Ralph on LinkedIn

Thanks so much for joining us this week. Want to subscribe to Perpetual Traffic? Have some feedback you’d like to share? Connect with us on iTunes and leave us a review!

Mentioned in this episode:

AdCritter for Agencies

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Read the Transcript Below:

How The Tier 11 Data Suite Pinpointed $2,304,177 in Lost Revenue for Airsculpt®

Ralph: [00:00:00] Hello and welcome to the perpetual traffic podcast. This is your host, Ralph burns and 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 Mowers, living the red life podcast, where we actually talk about how we found 2.

Ralph: 4 million in revenue off a half a million dollars. 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.

Ralph: So if you’re in the service space or you’re even in the e commerce. Commerce space, and you have a longer sales cycle, or a lot of your clients and customers purchase [00:01:00] 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.

Ralph: 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 [00:02:00] step process to sell 10, 000 to 15, 000 medical procedures in the body sculpting world. These are very large purchases, take a tremendous amount of consideration are usually paid for by credit card are not covered by insurance.

Ralph: 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 a one day view, seven day click as it is the default inside ads manager for your meta ads. However, your reporting window only goes out to 28 days.

Ralph: 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, [00:03:00] unless you have a sort of 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.

Ralph: So we go into this today, a super important case study. For anyone who has high ticket sales, higher ticket, meaning maybe there’s a first step and 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’s the podcast with myself and Rudy. Hope you enjoy it.

Ralph:

Ralph: Multi objective buying or Mobu is now the [00:04:00] reality of how we do business today in marketing in 2024 and beyond. So, uh, this case study was just one example of, 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 scaling grow businesses.

Rudy: My name is 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.

Rudy: 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, uh, you know, 10 plus years ago, when I really got into this and started spending [00:05:00] millions of dollars, he’s got very famous agency, tier 11.

Rudy: And he just came back from the Facebook HQ where they were diving into more of the omnipresence ecosystem of advertising we now live in. And in just one account, they found 2. 3 million dollars in revenue and sales that wasn’t attributed to the original ad but was still caused because of Facebook advertising.

Rudy: So, Ralph, welcome to the show.

Ralph: Glad to be here. I feel like I should have red on, but I’m wearing the wrong color, but forgive me for that. Thanks for having me, bud. Great to, uh, great to finally be on and obviously to meet you a couple of weeks ago.

Rudy: Yeah. So look, let’s dive in a couple of things out the gate.

Rudy: Um, and we’ll dive into it more to the show, but, um, Advertising’s changed a lot. We’ve talked about it offline. Like, you know, it used to be more ad to landing page to offer, make a sale easy. Now we live in this, like, world where, uh, so many things have to come together because, uh, the buyers are more [00:06:00] sophisticated and there’s so many more touch points.

Rudy: So can you dive into a little, um, this whole, like, multi channel buying system and this 2. 3 million that you found on this one account for anyone that doesn’t fully understand it?

Ralph: Yeah, I mean, I think when we first started, when we first started, uh, listening to perpetual traffic way back when, It was much easier.

Ralph: 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, we’re 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.

Ralph: 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 [00:07:00] 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 click division, we integrate everything into it.

Ralph: 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.

Ralph: They have the same sort of challenge with TikTok. Now they’ve got sort of more of a full funnel, uh, offering now, which is great. And a lot of new stuff that’s coming out. But the point is, is even if you’re playing, you’re doing YouTube and you’re doing anything, That has a view and not necessarily a click.

Ralph: It’s really hard to measure that. And in this particular case, this is one that I presented at meta at their agency conferences past week in New York city, they’re really interested in finding out more about this because I think a lot of [00:08:00] us as marketers, we tend to just go for website conversion campaigns, which is probably what you started on, like I was heavily.

Ralph: Uh, leveraging for years and years. And now this idea of what Meta now calls multi objective buying or MOBU, uh, which we sort of termed it last week when 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, uh, this case study was just one example of, of dozens in which, you know, We try to figure out like, where is the revenue coming from?

Ralph: 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.

Rudy: Yeah. It’s awesome. And so. You know, I’ve always been, Facebook’s been my main driver.

Rudy: And as I mentioned [00:09:00] briefly, like I, I ran ads when I was back living in the UK for my fitness brand and my personal training and, uh, dabbled with it. And then when I moved to America, I got way more serious and, and, and scaled and spent millions. And, and, um, you know, it was very fortunate. I got to learn from people like yourself.

Rudy: And, you know, back then it was more like the straight, uh, you know, straight to add by product jobs are good. And, you know, I didn’t even need organic really back then and all those things. But in my latest business. Um, which is more my coaching consulting side. We scaled to, we did about 25 million in the first two or three years.

Rudy: 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. Um, uh, and we actually, you know, we have a lot of high tickets, sales teams, sales too, from 2000 to a hundred thousand and every single sale that’s ever come through that made up [00:10:00] that 25 million.

Rudy: There’s a Slack channel where it zaps in, and then we actually have a VA pull the CRM data, and we look at the original source and the call recordings in there, and all the payment plans, all the things you need to know. And I’m always fascinated about the source because you know, we’ll sell a 20 K or a 50 K sale and it’s like they bought your Black Friday offer on that was a Facebook ad, you know?

Rudy: And every funnel’s labeled. We create separate funnels for every. channel, because no matter how great tracking is, I don’t trust it. Like we have a set on also every thing. So this was 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.

Rudy: 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? Yeah.

Ralph: Yeah. It’s really hard. I, I, I [00:11:00] mean, marketing is hard, otherwise everybody would be doing it and making millions. But the point is, is that like most businesses or most skill, you have to learn it and you have to do a lot of trial by error.

Ralph: I mean, I, I think I’m with you. I don’t trust tracking. When I see something, I don’t believe it. Um, 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.

Ralph: And then as well as on, on, on meta, I don’t even know how much we spent on Google now. It’s like, it’s a, it’s 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.

Ralph: You really have to believe it. And then you see it in the [00:12:00] 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.

Ralph: 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.

Ralph: 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 gonna tell you exactly where all your clicks come from. I’m gonna tell you exactly where your ROAS is from. I think [00:13:00] it’s a bunch of bullcrap.

Ralph: You’ve got to figure it out for yourself. 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.

Rudy: Yeah. And let’s talk a little about, Oh, 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?

Rudy: um from a tracking side and it’s because it’s the way the user’s interacting right like people are being used to See an ad buy an ad and and jobs are good. Um, 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 multi channel buying and what can people take away today to apply into their own marketing strategy to get ahead of this?

Ralph: Yeah. Yeah. I think just accepting the fact that, you know, there’s going to be multiple stages and we can track this. You [00:14:00] 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, um, an impulse buy for 7, there’s probably not going to be a very long buyer’s journey.

Ralph: However, if you’re selling 150, 000, you know, steel buildings, or in this particular case of our case study, you know, 10 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.

Ralph: 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 the seven day or the 28 day window for the [00:15:00] platform. Where they actually did buy these 15, 000 to 20, 000 procedures later on and then attribute that back to the original click.

Ralph: 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, our favorite is Wicked Reports, but we also love Northbeam. You know, we’re investors in both companies. Northbeam is extremely good for enterprise.

Ralph: But for the small to mid sized, uh, 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.

Rudy: Yeah, I mean, we, whenever we’re, you know, clients in our programs and stuff, we tell them as soon as their ad spend is getting, you know, relatively [00:16:00] 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.

Rudy: Making better decisions. And I, I, you know, I’ve, I’ve known Scott and use wicked for a long time, probably because of, you know, your advice and, and, and tried higher us and all these different ones. And, and it really is crazy, especially in the last few years. The, 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, um, and then what’s even crazier is like over time when you look at LTV and it’s starting to attribute these people.

Rudy: Um, it’s just, it, it turns what people look at as ROAS and, and the ads on their head a lot of times, and stuff you killed [00:17:00] you shouldn’t have killed, stuff that, um, you know, you thought was doing well wasn’t doing as well, and I think knowing that data is so important, um, and most people don’t, which is why they don’t scale.

Ralph: 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 percent lift in conversion, uh, 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.

Ralph: 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’s sort of obviates or eliminates a lot of the issues that you have with iOS 14.

Ralph: And then we store that data and 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. We’re the only [00:18:00] 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.

Ralph: And for us, it was, it was just a simple matter of this is in the body sculpting phase, uh, space. And these guys are spending a million dollars a month. The point was is that we started doing a, a sort of a, a free Botox injection, uh, 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.

Ralph: And then obviously once they get in. Their tracks through 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, uh, 30 days, 60 days and 90 days.

Ralph: And then we found that through those [00:19:00] 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.

Ralph: And 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.

Ralph: 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, [00:20:00] you know, CRMs that don’t really talk to each other because they kind of cobbled this all together through acquisition.

Ralph: 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 spin that was a couple hundred thousand.

Ralph: Yeah. Now, they had to figure out exactly, all right, well, based upon that, that 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 60 days, that was the hardest part.

Ralph: And I know there’s people that are listening in the 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 in the. The [00:21:00] row as in app is 0. 6. Oh, yeah. 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 life cycle is for the client.

Ralph: 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. Bye. Through all these third party data platforms,

Rudy: but that, yeah, I mean, sorry, God, I was just going to say, I mean, I think that’s like, why 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 LTV, right.

Rudy: And what’s your breakeven point at 30, 60, 90 days. And 99 percent of businesses have no clue on that. Like, you know, unless you’re a business that does a one time transaction, which is [00:22:00] very rare. I’m probably not a strong business these days. Like you have to know that, especially like I’ve ran ironically, very similar offers, you know, great mind, single eye.

Rudy: 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, try a big, that out. It’s a nightmare, but they were upselling to a two or three K offer.

Rudy: And, and, you know, we did it more pen and paper way saying, okay, we know one in 10. We’ll upgrade statistically based on your last 30 days. That means every lead is statistically for every, you know, 10 that show up is worth 200 to 300. So if we’re paying 20 a lead and wanting to show up, that’s 40 for a show lead, and it should pan out to be two, 300.

Rudy: And. I think mapping that out is so important up front, whether you’re [00:23:00] 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 star, um, scale. And if you don’t have that, like, you know, life cycle and understand the path forward, Then you will make bad decisions.

Rudy: And, uh, you know, the ad manager, I mean, 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.

Ralph: Yeah. Yeah. I couldn’t agree more getting, getting business owners to sort of wrap their head around the longer view is hard.

Ralph: 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.

Ralph: In most cases, it’s, [00:24:00] 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 center or high value keywords for like, you know, Brazilian butt lift on Google, like there’s only so much search trapping for that.

Ralph: 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 cobbled together.

Rudy: And I love that breakdown. So guys, hopefully that starts to make sense now about, you know, understanding all those data points, the life cycle, um, and really understanding going into 2025.

Rudy: Facebook is not about anymore. 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 have to say, unless you’re a massive influencer. You know, or you’re on TV or some famous celebrity, you’ve got to buy track. You need traffic, [00:25:00] right? You need people to know about your brand.

Rudy: 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, um, Ralph, couple of quick questions as we come towards the end of the show, um, or you, um, so let me dive into this first one. This is, uh, you know, in general about business now, because You are obviously a marketing Facebook master, but also built a very successful agency in big businesses too.

Rudy: So first one, um, what is the most controversial belief you have around money or business or marketing that upsets people?

Ralph: I would say you can’t do it yourself. I think that 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. Uh, that’s bound to happen, but complimentary [00:26:00] to my skills, like for me, uh, I’m not a great systems guy.

Ralph: 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 COO that I have right now has been instrumental in us implementing, uh, agile scrum throughout the entire agency, which is now, you know, so common in fortune 500 companies, it’s not something I would ever do, but it’s sort of.

Ralph: 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 finding 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.

Rudy: Love that. Next one, biggest success or achievement or most money made and, and, uh, how, how did that happen?

Ralph: You know, when I started this thing, all I wanted to do is, is pay for [00:27:00] the, uh, the health insurance, quite honestly. Cause my, my wife was sort of carrying the team at that point. But I remember when I got to a hundred grand a month, I added my first 106, 000 a month, I was like, I can’t believe I’ve created this out of nothing.

Ralph: Like that ever since then, it’s been multiples of that, which is great. Don’t get me wrong. But like 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 Sox versus the Chicago Cubs. I thought I was like such a baller dude cause I was making a hundred G’s a month and you know, my best year in the corporate world was like 250 or 200 or whatever it was.

Ralph: Like I would say that was my biggest, I was very happy, very proud of that. And then, you know. It’s, uh, yeah, after that, it’s kind of, it’s kind of all let down a bit.

Rudy: Well, I think that’s good though, cause I’m the, you know, I mean, [00:28:00] 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, cause that was a goal, you know?

Rudy: And yeah, those ones are great. 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?

Ralph: Uh, 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, uh, my own information business.

Ralph: 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.

Ralph: Well, they eventually did find out about it and figured out a way to get me fired. But nobody wanted to buy it. [00:29:00] 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.

Ralph: Cause I was so emotionally tied to it because it was my first online business. I shoulda, 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,

Rudy: yeah. 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, uh, to help you become more successful today, what would it be?

Ralph: 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 bed at night. I mean, it’s, it’s the most [00:30:00] 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.

Ralph: Your p and l matters. Like, you know, no profit grow, right? Yeah. Especially

Rudy: themes that we’ve got. It matters more than when you had 10. Yeah, I think it’s easier then

Ralph: 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.

Rudy: Great. All right guys, well that’s a wrap. I hope you enjoyed today and as always, keep living the red life. Take care.

Ralph: All right. 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. I’m Optimization windows are how your ads are being optimized within the platform.

Ralph: Okay. And there’s two settings for that. There’s one day or there’s seven day, depending on how many [00:31:00] 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.

Ralph: 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 drop down 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.

Ralph: 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.

Ralph: Some of the things that we talked about here today on today’s show, however, you can use the platform itself if you do have a [00:32:00] longer.

Ralph: 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. Cause it’s really essential for you to understand all of this as things get more and more complex in 2025. And a lot of this data is going to be obfuscated.

Ralph: It’s going to be a lot of privacy laws that are coming down the line. 42 percent 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.

Ralph: 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,

Ralph: We’ll leave all the helpful links that I mentioned here, as well as on the show over at perpetualtraffic. com. Make sure that you do subscribe to our YouTube channel as perpetual traffic. com forward slash YouTube.

Ralph: So on behalf of my awesome co host Lauren E. [00:33:00] Petrullo, who is sitting in the sun someplace warm right now while I freeze my ass off here in Boston, until next show, see ya.