A (4:36)

I, I agree. The human in the loop is, is so important and what I've seen and there's been a couple studies, I'm taking a number of AI courses right now. I've been a little quiet on social media because the Oxford class right now is like a legit class and the math is really, really having to brush off a lot. But what I can tell you is it's giving people that know how to do things more capabilities, the better they understand like prompt engineering and understand how these tools work. So it gives you like a wider set that you can reach for. But if you don't, if you're just starting like, hey, we're just going to let AI just take it over and do it well, what are the inputs you're feeding it, how you know, how Is it building the workflow? Like, what is the prompts? It's. It's a. It's a tool. It's a copilot. It's. It's an assistant to help you do it, but you still gotta be the driver. You can't just fully agentic hand it off today. There's a lot of errors that are coming up. It does some weird stuff. I'll even tell you. I was processing another podcast that I was on, and I was doing recordings at a conference. Okay. And people weren't always speaking into the mic really clearly, and there was a lot of background sound, and I was using Audacity to translate the transcript. And if it didn't hear the sound, okay, like. Or the person was talking too quietly, it would make up what they thought they were saying. Like, it was just projecting out what it thought it would say, and then it would, like, repeat words. And I was just like, is the AI bore? Like, at first I was like, is it alive? No, it's not live. But is it listening to what people are saying and they're getting bored? Because at one point it was like, blah, blah, blah, blah, blah, blah, blah. And I was like, why would it do that? And then another one was like, I am a salesperson. I am a salesperson. I am a salesperson. I'm a salesperson. Said like, 30 times. And if I wasn't, like, looking at what it was doing, right. And just, like, published it, and it was all agentic and there was no human in the loop, it would have pushed that out. And I was just. And then I went down a rabbit hole. I was like, why is it doing this? And it was like, well, based upon what the person was talking about. We were talking about complex selling in B2B, and it basically just kind of aggregated what we were talking about and summed it up in that, and then just repeated that until the sound came. So AI does weird things is really what I'm trying to say. And, you know, giving it your credit card, right, like this. This economy's coming, right where it's gonna do ad buys for you. I mean, it's different if the platform's optimizing it, but you're like, giving it your credit card and you're just saying, go, and there's no one driving. You know, it's gonna go off the rails. And there's all kinds of horror stories about that, for sure.

B (7:32)

Yeah. And again, that's the issue that we see with an over reliance on some of these AI tools or These automation tools. And the key for us, because we audit a lot of brands and we audit other agencies too, what happens is if you're not feeding these AI algorithms, particularly in the paid media platforms that I was talking about earlier, if you're not feeding them clean data and your tracking is not buttoned up and you don't have the right settings and tools and key events conversions and all that configured properly, you're basically just going to compound your problem. And so you're letting the AIs run wild with bad data. So the algorithm is in a sense doing its job, but it's just making your performance worse and it's diminishing it because you don't have the right strategy, you don't have the right settings enabled, you're not feeding it the correct data signals. And so it's taking a small problem that could be fixed with just maybe a little bit of time and strategy. And it's taking that and it's compounding it. And worse, it's spending your money to do that.

A (8:31)

I would tell you one more example that I saw. I was working with an in house paid ads manager at a company and they were running some CTV ads or TV ads, streaming tv. And the AI started optimizing for spam, right? So people were spamming the ad and then over time you were seeing the leads that were coming in and the CRM and it was, it was optimizing actually for that engagement which was spam. And it was like, no, we gotta, you gotta keep shutting down the campaigns to kind of restart them and get them on the right track. I'm sure you've, you've, you've seen some of that as well. It's, it's, yeah, you, you gotta, you gotta, you gotta definitely be careful. So let's switch over to what is working. What are the things that are happening today because search has changed how people are, the buying behaviors change. It's not just Google anymore. Google. Well, I feel like 50% of the traffic's kind of left Google and gone everywhere. So you're needing to run the TikTok ads. You're, you know, you wanting to run YouTube. Like a lot of people look at the, you know, the cost per click on YouTube and they don't like that. Right. Like, it's like Facebook and Google has been like the game for so long and now you're having to fan out on these other platforms. You're having to reach people in different ways. Different kinds of ads I'm seeing are not working. I would Love to hear kind of what, what are you seeing on, on your end?

B (10:05)

Yeah, that's a really good point. And we are seeing that evolution that's, that's taking place right now. And the biggest shift is, you know, how people are behaving online. I mean, Google's offering their own, you know, AI summaries now. They've got their own AI engine that you can just start chatting with. Right, right. Within the, you know, the search engine page and behavior is changing and what's old is new again. Right. So what we're actually advising clients is you need to invest in the upper funnel. You have to invest in your brand. And you mentioned YouTube. That's a great, you know, example of where brands need to be now across the entire ecosystem now. Yes, it depends on your customers. Certain customers are on TikTok, others are not. Right. So do, do some research, understand where your customers are, are actually consuming content and think strategically about it. So we have a global B2B brand right now, and we've developed a campaign that leverages day parting. So we're running Programmatic Audio ads in the morning as their target customers on their way to work. Right. We're playing those ads in podcasts, on different music streaming services, on the radio. And then when they get to work, we're ramping up our display campaigns. And that includes like rich media, HTML5, a little bit of social media during the day as well. Because again, these people are at their desks, they're researching, hey, new suppliers, new partners for our business, whatever it may be. And so we want to ramp up our spend and our positioning there during that time. And then at night, we're hitting them again with the audio on the way home. And then when they're home, we're running CTV at night. When they're sitting there on their couches just kind of unwinding from the day, they're scrolling their social media feeds, catching up. They're not in that buying mindset, which is why the ads shift to more of like a brand focus. Like maybe we use entertainment or humor or we do some. Something that reinforces the brand values. They're not in that buying mentality. And so we need to adjust our messaging and our medium during that time as opposed to our display ads, our rich media, our other in feed ads that are running during the day, those are maybe, you know, much more, you know, conversion, lower funnel focused. The same goes for search. Right. You have to understand when people are going to search, they're either asking a really specific question in which Case you should have blog posts that answer that question, right, because that's going to get you featured in the generative engines. And you should also be thinking, okay, what about the people with higher intent? They're going to search, they're looking for something very specifically. They're either ready to buy or they're further along in their research journey. Especially for these B2B type clients where, like you were saying, long sales cycle complex, there's going to be a lot of touch points that need to happen, a lot of personal touch points as well. But people need to be able to find that information, especially this younger cohort of buyers. If you have targeting Millennials, for example, they want to be able to easily find information about company, but they want to reach someone when they're ready. But so you have to be there throughout all those different moments and all those different touch points that are, that are happening throughout that individual's day.

A (13:01)

Man, I love that. And I want to highlight something you said running multiple platforms at different times of the day based upon what the bulk of people might be doing. I've seen a lot of success in the streaming ads and the podcast ads, but thinking about the windshield time of like, hey, let's hit them when, when they're most likely listening to these. We've seen like that on the weekends or something like that. And layering these together where you're really omnichannel following them around, right. Like a remarketing ad, but based upon what, what they're doing and, and understanding when they're on mobile, when they're on desktop, what they might be doing. I love that kind of framework to develop that before we move way past AI. Everybody keeps bringing it up and I'm guilty of it as well. One of the discussions I was having the other day and I just wanted to get your opinion on this is chat GPT said we are not going to be going the ad route. However, I do have a Google alert for ChatGPT, you know, ads for when that may be the case based on buying behavior of how people are using it. And I know perplexity is, you know, not leading as much as it was when it first came out, but I think Apple or somebody could buy them and could change the game. They started putting affiliate links in the calls. So like the citations are actually like affiliate links by them. And that's like the business model that, that they are, you know, following or, or trying to pursue, I guess is the word I was looking for. And so, I mean it's very new it's everything's wild west right now for sure. I definitely feel that. And I, I'm constantly trying to, you know, interpret what different people are saying. And social media, everybody's saying different things. There's different sides. The data keeps changing. I feel like the spine hasn't totally hardened on the training data yet. I think it's kind of still pretty fluid. But where do you see like Google, right. Big behemoth. If people are wanting the answer immediately, I mean, they're testing out different placements of ads and local ads, but if someone's looking for something and they're trying to buy something, you know how AI is changing. And if people move over to more of a, you know, agentic assistant to go do the research forum, do you see ads getting incorporated in there or how do you see it playing out from advertising landscape as everything changes? I guess.

B (15:56)

Yeah, no, it's a great question. So I think based on what we're already seeing, I think this is, this is definitely what's going to happen is there's going to be, you know, product integrations directly into these feeds. I'll just use TikTok shopping as an example. So people are buying, you know, tons and tons of products just without leaving the TikTok app. Right. And I know Instagram offers something similar. So we're seeing much more of these, like social, you know, shoppable integrations. I think YouTube's doing the same thing. Right. And so we're seeing that across the board already. From what I read, Chat GPT has already now signed some kind of deal with Walmart, maybe a few others to where product, you know, listings are going to be directly within the AI. AI answers. So.

A (16:38)

Yeah, I didn't hear that. That's interesting.

B (16:40)

Yeah, yeah, no, check that out.

A (16:42)

I just, I don't trust him. Like.

B (16:48)

No, I know these things are, it's coming out like so fast too. So everything's changing day by day here. So we absolutely are going to see more of that. We're going to see, you know, the shopping because, you know, I'm just thinking about how do I use AI if I'm looking for a product. Hey, give me the top 10 recommendations for this particular product in this, you know, for this use case. And here's what I'm thinking. I'm talking to it just like I would a person and it's, you know, it's spitting out recommendations. Sometimes they're good, sometimes they're not. You know, you have to understand, like we were saying earlier, the AI can hallucinate it's only as good as the data that we're feeding it. And here's another issue. I actually just wrote a LinkedIn post about this. We are seeing a huge influx of AI content on the web. I think more than 20% of content that's being churned out as AI now probably going to be 80% in two years or less. And then we have to think about, now the AI is training itself on AI content. So it's almost like becomes this, you know, self perpetuating doom loop in a sense that the AI is just going to be producing lower and lower quality content because it's just training itself on its own recycled content. So we got to be careful too. And I think the brands that can really stand out are the ones that can be more human and really think about how do we really distinguish ourselves in this world where AI is training on AI and it's just going to just multiply the volume and the type of content that we see coming out on the web.

A (18:06)

Wow. The rabbit hole of dead Internet theory and the degradation of like training data. Let's not go, let's not go down that path today. But I would love to hear from you what, what is working. Like I agree with you brands that are putting in the strategy, putting in the creative and standing out because it's all about attention, right? Like you gotta be able to grab the attention. I mean I'm recommending and, and again like not heavy on the paid ads really paid ads I see as a support for when, when I get brought in to drive, you know, AI visibility, LLM visibility as well as kind of like traditional SEO. I usually work with the team that's, that's, that's running that and, and try to get some support and some data put in there quickly to, to help the search engines understand what this is about. But man, I say like you should be running always videos. I don't feel like static ads are, are producing the click through rates that I would like to see especially with the bid auctions going so high. A lot of the strategies that used to work maybe a couple years ago, really since COVID everybody's come online, it doesn't work anymore and you're having to go to, you're having to fan out to some of these other platforms and you're having to do what you talked about, a multi layer strategy on different platforms to hit people at different times because you can't, like a lot of companies just want to run AdWords, right? And maybe run some Facebook remarketing and that used to work. It doesn't work anymore.

B (19:47)

No, it does not. I would say a couple things there, right? So when we're talking about what works right now, short form video content, like you were saying, non static ads, and a large volume and a large diversity of this type of content. So we do a lot in the UGC space, which, you know, influencer, you can call it whatever you want, but we actually work with just independent content creators and I'm not really interested in their reach or their influence. I'll just have them create a branded video. We'll give them some, you know, specific guidelines. They'll do it in their own style. We'll work with an editor to pull together some, you know, different sort of clips and things like that. And from there, you know, we'll run those in our ad campaigns. And so we'll have vertical videos running across, you know, Facebook and Instagram, UGC style. And then yes, we're still capturing people through remarketing, but what we use is now is HTML5 ads because to your point, the ads with the motion in it perform way better than just static. So we don't even use static unless there's just literally no other option. But we always want to have some type of motion, even in our display ads, right? And then we run them across, you know, Google's ecosystem, we run them, you know, programmatically, that sort of thing. And again, with the video content, I'm seeing now they have these AI tools where it's churning out hundreds of UGC style videos. And I'm a little hesitant with that because it's like, okay, you're, you're just literally just creating copies of copies of these different UGC and it's testing hundreds of different hooks at a time. So there are tools and strategies out there that are doing that. We still like working with the individual creators. Again, it's pretty low cost because we're not going after influencers with millions of followers. I'm just literally finding people that actors video content like actors essentially. And for a few, for a few hundred bucks, hey, record me a selfie style video. And here's a script. You know, feel free to add your own personal experience, your own flair, whatever it may be, as it's relevant. And then we'll, we'll use those pieces of content. We find that it works really well. And that's something that we're refreshing on a monthly basis for these brands. And then from a remarketing standpoint, right, it comes down to, you know, are you properly investing in your brand? Are you building awareness? And a lot of clients, they just want to rush right to the bottom of the funnel. Like, I want to run Google Ads, I want to spend $10 and make 20. It's not always, you know, don't we work like that anymore? Maybe they used to be able to do that, but now you really need to think about the funnel and you need to not only drive awareness through YouTube and these other channels, but more importantly, build warm audiences and preheat audiences that you then retarget with additional video content. The ads we were talking about, and so we're seeing the brands that are doing well are taking this full funnel approach and not being so focused on that return on ad spend, lower funnel metric exclusively because we need to think about this as a brand more holistically. And that's been our number one thing that we saw. Driving performance.

A (22:39)

Man, you just hit on attribution, right? That's another very, very hot topic. Going back to what you said that I just want to kind of highlight it. It sounds like there's a level of comfort, a level of risk where there's Gary Vanderchuck on one end saying your brand, as long as it's out there, people know it, it's homemade. You know, it doesn't matter if there's brand guidelines at all. Just it's out there, that's good, people know about it. And then on the other end, like there's a number of clients that, that I see that we can't run the five HTML5 ads or change them in any way because it's like very strict brand brand guidelines. You know, I think somewhere in the middle, safe. The question I had for you is when you're running these full funnel ads, I've seen like, even like Facebook ads, like if I'm just running a strict Facebook campaign, you need at least. Well, it depends on your ad spend, of course, like how much of the market you're reaching. But I've seen it take about two weeks to even start to see an impact of inbounds and requests coming in with kind of these campaigns you're running. Can you give me a size on kind of, kind of budget, number of platforms? And when do you start being able to get attribution in any way? And you don't know last click, first click, like it's probably weighted. I think Google gets a lot of last click attribution, even though maybe it was generated somewhere else over a certain period of time. But I'm curious, you know, we're talking mainly B2B, I believe. But what kind of, how much budget are you spending, how many platforms? And then what is the time frame of measuring, however you're measuring it success in some form? It doesn't have to be exact attribution because I think that's really difficult right now.

B (24:37)

Yeah, for sure. I would say, you know, we have some clients that are spending just a few thousand dollars a month, maybe 5 to 10,000 on ads and then we have clients that are spending a few hundred thousand. So it just depends on the size of the business. But I would say as an, as an entry point, you don't just want to dip your toe into paid and say, hey, we're going to throw 3, $5,000 at this and just we're going to get a return. That's not how it works. There's going to be a time frame, there's going to be an investment that needs to be made. I would say, you know, a minimum three to six months, but ideally you would commit for a full year. Now, don't get me wrong, we could turn on ads and start driving results in a week or two, right. We'll start driving traffic. Right. But a lot of the ad accounts, especially if they're brand new, if a brand has never run ads before, there's a warm up period on these accounts. There's also a learning phase. The ads have to go through and that takes about a week, sometimes a little less, sometimes a little more. And then you need at least one month of running campaigns to gather enough data to make your first round of optimizations. And that could be adjusting the bid strategies, adjusting the audience targeting, you know, adjusting the creative, the placements, the geographies, where you're showing up. So it depends on the client. Again, we audit a lot of clients that have been running ads for years. What we found is they have just, they've had bad experiences with paid agencies in the past. We had a client who went through four different paid media agencies and we went in and we audited their whole account and we're like, your bid structures are wrong, your campaigns aren't set up properly. You're not using all the potential ad space that Google or Facebook's making available to you. And so we're noticing this is so prevalent in the industry is that a lot of these foundational things are missing from a paid media campaign. Something that we try and address, you know, right out of the gate. And in that case, we could see improvements of 30% or more after one month of making some of these, you know, little tweaks.

A (26:22)

Yeah, I guess. And I appreciate all that background. That was super helpful. I think more of my question and, and maybe I didn't articulate it well enough was say you're doing everything right. Right. And, and say, okay, let's discount the warm up period and the learning phase. But like if you're running ads, right, and you're, you haven't done top of the funnel, right? You haven't, people don't, aren't familiar with your brand. There's like one of the data points I saw, which the data that we used to use was like, hey, you need 11 touch points. Someone needs to see your brand, you know, 11 times before they recognize it. One of the most recent pieces of data I saw was it's 30 touch points now. Right. And so when, when you're starting a campaign and you're running it multifunnel, but if people are not familiar with your brand, they have to get used to seeing your brand. They have to understand it. They have to be in the buying mode to click on stuff like how long does that take? When or how are you explaining that to the customer? That hey, we're going to start running this campaign and it's going to take a while to see results and we're going to have to tackle not just bottom of the funnel, but, but middle of the funnel, what, you know, what are you doing there? And then top of the funnel and how to justify this makes sense to, to, to reach all these people because a lot of times they'll be like, you're wasting money, right? Like they just want to, they just want people to buy. So I'm just curious how, what you're seeing in the data from how long when you do start running the campaign, does it trickle down and all the way through that, where, where it's the brands start to get tractions, I guess I don't know if that's a very quantifiable question. So just give it a case of study, I guess.

B (28:26)

Yeah, yeah, absolutely. Well, I would say, you know, when we're talking exclusively the upper funnel, especially with clients who have already done a lot of the lower funnel, the most important thing I would say from a timing perspective is to give it at least six months to a year to see results. Now something we're doing on the upper funnel side from an attribution perspective is actually looking at influenced revenue. So we can show through the data how many people were exposed to an upper funnel ad, whether it be programmatic Display or CTV or an audio ad and then came to the website at a later time, let's say within a period of 30 days and then actually made a purchase. And what was the value of that purchase? So that's one way that we show the value of Upper Funnel. There's obviously platform metrics like video views and click through rate and traffic and impressions, right? So there's some value in those metrics, but everyone knows those. You know, people think of them as vanity metrics and in many ways they are. But we also look at qualifying metrics from Upper Funnel campaigns. And so that includes people that are coming to your site and taking desired actions, whether it's, you know, spending more than two minutes on the website. We need a way to qualify these people, assuming that they're not going to convert on those those first 29 times. Right. To your point, there's 30 touch points that need to happen. And so if a client is really wanting to invest long term, I would say commit to at least a year of running Upper Funnel ads. We're going to show results, you know, within a month. We can show, you know, increase in traffic, increase in qualified users, increasing key events, but we're not going to show a last click, hey, someone saw this Upper Funnel ad and then went and bought us and immediately converted into a sale. We actually do some of those. But it's not going to be like what you're seeing on your Google and your, and your Facebook campaigns that are, that are lead driven and conversion driven and that, that's okay. I think, you know, brands need to understand that they need to invest in these campaigns. And there's been. The best part is there's data that supports this. There's, if you're familiar with warc, the Industry Advertising association did a study where they looked at all these brands that invested, you know, very limited in upper funnel versus brands that invested, you know, more heavily, let's say 50% or more of their budget into these brand campaigns. And the results were crystal clear. The ones that invested a more balanced approach, they had 10x their revenue over a period of 5 years. Whereas the ones who just, you know, were very transactional in nature. They just wanted to focus on that Lower Funnel. They wanted those short term returns. They needed the, the last click attribution. Every click had to be accounted for, every, every click or view had to be tied to a sale that ends up shooting you in the foot. It's actually the worst thing you can do if you want to grow your business or your brand and the data has come out and it, it, it supports that. The study is called the multiplier effect, and so, you know, your listeners can check it out. There's a ton of fantastic data in there about the value of properly investing in a full funnel approach.

A (31:29)

Man, I'm going to have to go read that study. I've heard people talk about the data from the study, but I haven't gone and read the study myself, so I'll have to check it out. It's called the multiplier effect. Is that what it's called?

B (31:41)

Yes, exactly. It's basically a CMOS guide to investing in brand in the performance era.

A (31:48)

I love it. I love it. Now, I wanted to switch gears because, you know, I'm trying to not talk about AI, but AI is important. I want to talk about fragmented data. Okay. Because that's one of the areas from a marketing agency, from a ad agency, from a PR agency, whatever performance agency, whoever's listening out there. I know each one of us are logging in to multiple platforms a day. Okay. And the data is siloed in different areas, and we bring it into a spreadsheet or whatever, and we try to kind of bring the data together and then put it together in a presentation and present it to the client. That's been one area that I've been really focused on on the SEO side specifically is unifying all this data into one clear pipeline and then visualizing that data in a Google looker, something like that. I'm curious, what does your workflow look like on fragmented data? How are you looking at it? I know you touched on some AI tools. There was a previous guest that was on that was talking actually really interesting. I haven't checked out the tool yet, but it was a simulated audience. So you could take an ad and then you could build an audience set and drop the ad into it. Just kind of like a survey. And you could get feedback based on that target Persona, on how that they would experience that before even running the ad, which I thought was pretty interesting with some. With synthetic data or synthetic people. I mean, there's all kinds of different tools out there. I'm curious, kind of how are you looking at that? What are you doing? What do you recommend? The best practices. But I know that like fragmented data, disconnected strategies are just something we still see a lot of. I almost feel like this AI revolution or fourth turning or whatever you want to call it, people are just now getting. And I saw this in one of my classroom studies, but most businesses, 89% of businesses are still in the industrial age, just moving into, like, the Web 2.0. So now, like, everybody's like, all right, we're ready for, you know, web 2.0 is like, oh, well, web 3.0 has just dropped. Right. So just interesting to hear where, where you're at and how you're, how you're viewing the world. And in that regard.

B (34:15)

Yeah, no, that's so interesting that I feel some of these companies are still trying to do digital transformation for, for a world that has, you know, totally evolved at the, at this point. And to your question, which was around the data fragmentation. So I want to dig into that a little bit. You know, we have clients, you know, in a similar situation. Their data is absolute mess. And so how do we help them get a handle on it? You know, for us, it's about really understanding what data that they actually have to work with. We find some clients don't even have access to proper sales or revenue data. And so we're feeding information into their Google Ads platform, into their Google Analytics platform. That's totally wrong. And you have the campaigns that are optimizing against figures that aren't accurate, sales and revenue figures. And so the number one thing that we try and help clients do is get a handle on their internal data. So, you know, we have partners that we will bring in that specialize in, you know, CRM data, you know, sales revenue. We also build looker dashboards. And so something we'll do is actually take look at all the paid media data sources, so SEO, website analytics, various different paid platforms, and pipe that into a looker studio so we can see everything holistically. And then you can make better decisions, more strategic decisions. But then especially on the back end of what the clients are doing, we help them to segment their CRM data. And so one example is we'll take a client that's in the B2B space, and we'll segment their customers based on the most frequent purchasers, based on the volume of orders, based on what they call VIPs, which are. And then from there, what we'll do is segment that data and we'll use those lists in our paid media campaigns. So we will actually take a segment of their audience list. It could be, let's say, their most frequent purchasers, and we will retarget them across the open web across different paid platforms, and then we'll also build lookalikes of those audiences. And that's been really effective. But in terms of helping them get their data cleaned up, that's a pretty Big undertaking. It's something that is so important though, because without it, our campaigns and our ads can't be as effective as they could be.

A (36:35)

Awesome. So I want to ask you. We've talked about meat and potatoes of ad campaigns. Maybe we could go into a little bit more detail on some best practices. We've talked about how AI affects it. Attribution, I would love. And the name of the podcast that we had started with 12 years ago was the Unknown Secrets of Internet Marketing. And really what I try to do on this podcast is share things that are, like, maybe things that are not brought to light as much as they should be, or common mistakes of what's happening. I would love to hear from your perspective when you go into an account, like, what are some things that you see that are like obvious fixes? And also what are some things that you might be doing that you think other people should be doing? At one point I was like screaming from the rooftops that you need to be doing remarketing. Right? Like, clients would come to us and I was like, why are you not doing remarketing? Like they just aren't spending any money on paid. And I'm like, like, why are you not at least doing remarketing? Like it makes the most sense, like we can turn it on quickly, like you should be doing remarketing. And I felt like that was just something that I was beating the drum on for, for a long time. And I think in general it's gotten better, while still there are people that are not doing it. Like some of the things like that. I would love for you to kind of share some of those insights.

B (38:12)

Absolutely. So to your point, I would say, you know, 75% of the brands that we audit are still not doing remarketing or if they are doing it, they're not doing it properly. So still a very big issue and certainly what we consider low hanging fruit from a, from a media standpoint. I mean, come on, you're, we're trying to, you're paying to send people to your website. You don't even have this basic retargeting remarketing campaign in place to bring them back. You're literally just throwing money away by not having this live. So we're still seeing that. Some other things that we've seen is that, you know, clients, like, I'm using Google Ads as an example, but they have, you know, no target CPA under their campaigns and their ad groups in their bidding settings. Right. And so what's happening is you're letting the algorithm Determine what, what should we pay for an acquisition, Whether it's a sale or a lead or whatever it may be. And these are on big accounts. I mean, these are on accounts that are spending 200k a month on Google Ads. They don't have a target cpa. So that's one simple fix that your audience can look into. We're also noticing that some of these accounts have AI Max settings enabled. And what that's doing is it's triggering hundreds of irrelevant search terms. Facebook has something similar called Advantage plus, where it's expanding your audience outside of your target to try and get you more results. What it does though, is it actually floods the account with either traffic that's not qualified, that's not within your target audience, or in the case of Google, it's flooding the account with irrelevant search terms that we've also found had an extremely high cpa. So they're overpaying for customers that are not even qualified. I mean, I could go on. There's a lot more that we find.

A (39:54)

I have not seen, at least in campaigns that I've been personally involved with that work ever. Like where you expand, like the audience set, you know, like if you're doing display ads, okay, maybe, but like on, on paid ads, you don't have a lot of visibility. Yeah, that's horrible. Well, we're getting close to time here. I would love, Anthony, for you to share kind of what are the things where it's. You talked about LinkedIn earlier. You just did a, a post on LinkedIn. Where are the places that people can follow you, find out more and share how to get in contact with you if they want to learn more about your services.

B (40:35)

Yeah. So, you know, check out our website, volumedia.com we've got a full list of our services and case studies up there. Happy to help. And then on LinkedIn, I'm pretty active on my personal LinkedIn profile, so give me a follow, reach out if someone has a question. I always respond to, you know, DMs or anything. And we offer free paid media audits. So if someone's like, hey, I don't know if this is working, you know, I don't really. Our current agency is not really delivering the results we expected. You know, we're happy to just take an unbiased look at the accounts and ultimately say, you know, here's our assessment. Like, is this, is this set up? Right? Is it not? You know, that's something that we offer. And then I just wrote a book called Brand Powered Media about the importance of having a fully balanced, you know, marketing investment. So that's something else that I think. Yeah, your readers might enjoy.

A (41:19)

I love that. And where are you based? So people that are listening know kind of geographically. I know in the World Wide Web now you could be anywhere, but people still like to know where people are based out of.

B (41:31)

Yeah. So I'm, I'm on the east coast about an hour south of New York City. I'm at the Jersey Shore, like Asbury park area, but I have a team members on every continent. So we're a global company in that sense. But you know, I'm here on the east coast, which I've called home for my whole life.

A (41:46)

Fantastic. Well, Anthony, thanks so much for coming on the podcast, everyone. If you like what you're hearing, please share. If you don't like what you're hearing, please share that comment as well. My team does read all the comments. We are trying to move over to YouTube Like I said, so please give us a like follow reviews really help. Uh, we. If you, if you like it, if you want something different like let us know. This is the unknown secrets of Internet Marketing. Best SEO Podcast. Until the next time. My name is Matt Bertram. EWR Digital is sponsoring this. We do a lot of enterprise SEO. Until the next time. Bye bye for now.