How to Conquer the Amazon Reviews Jungle with TraceFuse | EP. #97

If you’re selling on Amazon, reviews are your lifeblood. On this 97th episode of The E-Comm Show, Andrew chats with Shane Barker, founder & CEO of TraceFuse, about how Amazon ranks and categorizes reviews, how to increase your ratings, and how to conquer the Amazon reviews jungle. Don’t miss this episode for insights into how you can make the most of your Amazon reviews! Tune in to learn more about TraceFuse, Amazon’s algorithm and review system, and how to optimize your reviews for maximum traction on the platform.

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Have an e-commerce marketing question you'd like Andrew to cover in an upcoming episode? Email: hello@theecommshow.com

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SPEAKER

Andrew Maff and Shane Barker

CONNECT WITH OUR HOST: AndrewMaff.com  |  Twitter: @AndrewMaff | LinkedIn: @AndrewMaff 

Shane Barker

During his two decades of marketing experience, Shane helped over 100 Fortune 500 businesses grow their digital footprint through influencer marketing. He’s been recognized as a leading marketing influencer by organizations, such as the Content Marketing Institute.

After conquering digital marketing, Shane pivoted to e-commerce, with a focus on Amazon. For the past 5 years, Shane has been working with a team of experts with 20+ combined years of experience in the Amazon industry to master the intricacies of Amazon product reviews to develop TraceFuse, a cutting-edge, 100% white-hat system for negative review removal.

Transcript: 

00:03

I mean, I think what I always tell clients is at the end of the day, I think we all know that we're heading in the right direction by removing the reviews right.

Andrew Maff  00:09

Hey everyone this is Nezaar Akeel of Max Pro, Hi I'm Linda 

00:14

and I'm Paul, and we're Love and Pebbles. Hi, this is Lopa Van Der Merch from RASA and you're listening to and you're listening and you are listening to The E-Comm Show.

00:29

Welcome to The E-Comm Show, presented by BlueTuskr, the number one place to hear the inside scoop from other ecommerce experts, when they share their secrets on how they scaled their business and are now living the dream. Now, here's your host, Andrew, Maff.

Andrew Maff  00:49

Hello, everyone. Welcome to another episode of The E-Comm Show. I'm your host Andrew Maff and today I am joined by the amazing Shane Barker who is the CEO and founder of TraceFuse, Shane ready for good show? Ready to do this?

01:01

Andrew? Bro, I already had my coffee. I already did some push ups and sit ups and stuff only like three of them. But yes, I'm absolutely ready. Man.

Andrew Maff  01:09

I'm prepped perfect because you can't do more than three because then I won't you'll be too winded. Well, and I don't want to strain I want a good show dammit. Yeah,

01:17

I don't have my inhaler. Close. And there's all kinds of things that could have gone wrong. I max myself out at three. It's just for safety reasons.

Andrew Maff  01:24

So Shane, let's, let's do the stereotypical thing because that's how I've always started these. Pretend no one knows who you are. Give us a little bit of your background. Obviously little bit more about trace views, and then we're gonna take it from there. Okay.

01:38

Yeah, sounds good, man. So, yeah, I don't I don't know how long we have for the podcast, I won't give you the long version of what I've done. I, I've done a lot of stuff over the years not trying to brag, but I just have a pretty eclectic background, I have a company called or my main website is Shane worker.com, which is where I've done digital marketing, influencer marketing, SEO, a lot of different things and kind of cut my teeth in that space was doing SEO before. It was like SEO. I mean, a long time ago, right? building websites a long time ago, really content marketing was one of the first people talking about influencer marketing used to teach at UCLA actually helped create their curriculum over there for influencer marketing. So I have a long background in academia, but also in, you know, in obviously, online digital marketing, I'm used to own a bar in Chico, California, used to have a real estate company that I grew from zero to 25 million in two years. So, you know, got a long history. Now. That's all the accolades, right? I'm not going to tell you about the other 15 businesses that failed and, you know, miserably and stuff like that. But, you know, hey, we only have time for successes today. But it's really gotten me to this point to where, you know, those the successes and the failures have gotten me to a point where, you know, I have some, some pretty awesome businesses. And, you know, the learning curve is, you know, I've always been I went to school and got my degree in marketing, but really 99% of what I learned is just jumping in feet, first in the fire and learning it and better understanding how to do things and do things better. So, you know, I don't ever complain about the failures, because at the end of the day, that made me who I am today, right? Like, I mean, those things are important. Nobody, if somebody comes and says, I'm all success, and no failures, they're lying, or they should be on medication, there's something going on there. Like you have to have those failures, right? That's important. So and I know we're going to talk about trace use today. That's my, I say, my new baby, we've been working on that for about five years and some awesome stuff going on there. We kind of have some groundbreaking software and services that nobody else in the industry in the Amazon industry can offer. And, you know, we there's some some stigma behind what we do, because it's always typically been Blackhat. But we'll, we'll talk about that here in a second. A little bit, I'm sure.

Andrew Maff  03:42

Beautiful. So I know your background obviously was in the a little bit on the influencer side. Well, not your background, because you obviously just mentioned 10 Other things that you've done. But from an E commerce perspective, you've done a lot of work on the influencer side specific for Amazon sellers, correct.

03:59

Yeah, so UGC, stuff like that, right? user generated content. Really the influencer stuff that I was doing is I would actually teach brands how to find influencers and work with influencers so that plays very nicely and obviously in Amazon and TikTok and that space so always been on the influencer side, once again, driving traffic to e commerce sites and pages. The other thing I didn't say is I also do government consulting, and I help companies that usually are looking to get online so that's heavy on the E commerce side of things. I guess I didn't bring up the E commerce thing on an E commerce podcast, so they'll probably be pretty soon we assumed. Yeah, we just assumed that Shane was doing something in E commerce and that's the reason why Andrew invited him.

Andrew Maff  04:37

Exactly. Trace views. So let's touch on that. So the new baby how would you let's let's do layman's terms. First, how would you explain what trace uses

04:50

trace views in one sentence is we help sellers remove negative reviews on Amazon, all compliant with Amazon fully white hat fully compliant with Amazon

Andrew Maff  05:00

Perfect. Okay, so now let's figure out, how does that actually work? Because I just like you mentioned, and as I'm sure you already knew, because I'm sure people have brought it up to you before, typically an incredibly hard thing to do. Just if you're manually doing it yourself. So to leverage, you know, something like your tracer use here. Is it automated? Is it like AI? Is it service? Is it all of the above? Like, how does it actually work?

05:29

Yeah, we used to hire humans. But now we just have all AI fired my whole team and everything. I'm just kidding. Just kidding. If my team's listening, I'm kidding. You guys still have a job? I promise. No, I'll Joking aside. So we've been working on this for about five years. My team's like, wait, what? What happened? Just kidding. We're everybody's weird way

Andrew Maff  05:45

to get fired.

05:46

I know. You're like I listen to podcasts and got fired. When's if I didn't listen to podcasts? We still have a job. Not sure you guys, everybody's still employed. Don't worry, we're growing at a fast rate. So I need more people and not less people. But yeah, so we started off about five years ago. And what we really wanted to do, we were sellers in the Amazon space. And some, like the people that I worked with, they had been with brands, and we were looking at stuff. And the issue was we were selling supplements and supplements is extremely profitable, great profit margins, everything's awesome. The issue is, is that it's a very aggressive category. And what I mean by that is, you know, you have some bad actors, you have some people when it comes to money, they'll do anything to screw you over. Not everybody in the supplement space. But that's just the reality of it. There's there's certain categories on Amazon that are very aggressive. So supplements, what happened was, we started getting attacked from Blackhat perspective. And so we went to Amazon and said, Hey, Amazon, you know, can you look into this? And Amazon didn't respond, right. And so weird, we got a little frustrated. I know, shocker. Just kidding. The Amazon, we love you, I love you. But promise, please don't hurt me. So, yeah, we, you know, we ended up we said, Okay, we gotta figure this out. Right? We're, we clearly know we're being attacked, we feel like we have some good information, some good intel. Really, what that causes us to do is to start collecting reviews on Amazon. And the reason why we're doing that is we realized that, that if we had these reviews, that's really the, the juice, right? That's really what what, what the reason why we could get reviews removed, if we had the the data, right, we know that data is gonna get Amazon to react data gets everybody to react, right? If you don't have information, you say, Hey, I have a feeling this is happening. Nobody jumps on that says, Well, tell me more about your feeling like that's, you know, let's look into that. Like, you know, this is like a, you know, having to do with like, the President or something. But for us where we do it was like, Okay, now, how are we going to lay this out for Amazon, right? Amazon, obviously, is a huge company, they probably have an idea that there's some things going on like this, but we they don't have the time, the bandwidth. So how do we go and we build a case that we're going to give to Amazon, the Amazon is going to go you know what, we have all the information now, right? Thank you so much. And now we can make a decision. The analogy that I always use is like, you know, let's say your your car was being broken into right. And it kept being broken into and, you know, if you go to the police department, they have bigger fish to fry right. But let's say you go to the police department, say hey, here goes footage, she goes pictures of the guy who goes his fingerprints, you lay it all out, then it's very easy for them to go make a rescue, assuming they would make an arrest. But you get my point. The idea that is is we're giving them all the information, we're not going to Amazon the detective and saying, Hey, look into this, they're probably don't have the time or the bandwidth to do that. So what we did is said, Hey, let's give them the information they need, right? Let's make it so they can look at it and make an assessment within minutes. And so that's kind of the with the three pillars we call the three pillars is one is the data that we do the methodology. It's how we file cases, usually we're doing it through Seller Central, sometimes we have to go through brand registry, sometimes there's other departments that we go through. And we have a really a pretty strong strategy there. We have, you know, I say templates that we use, but the templates are constantly changing because it is AI driven. So what we realized was that we're filing cases when we get to know that Transy AI when we get a yes, that also trains the AI. So templates are things that we've used last week could be very different this week. And we also have different categories, we use different templates, what we did is the the way that we did this is we filed over 10,000 cases and got a hot zero on about all of them. I mean, it literally was just going into figuring this out, this was not a like, hey, we have one template that's been crushing it for three years, because the only consistent thing with Amazon has changed. And I think anybody in the Amazon space is probably shaking their head right now. So we know that we constantly have to be evolving, right with the different changes at Amazon not knowing what's going on. That's why obviously sellers have these groups to support each other and try to figure it out in the Amazon space it's not an easy space to get into can be very profitable and obviously you know there's there's good things that can happen there. So what we did is we started filing these cases started getting you know this intel and figuring out once again, what does Amazon react to right what is the with which departments do they react to certain types of reviews. So we really just dove all in and I will tell you in about year three, I was getting a little nervous because I was thinking man, I've invested a lot of money and time into this. And I was like we're still getting hot nose, you know, which I was like, you know, and it's like You can't go to somebody who a seller and be like, Hey, we have a point 06, you know, success rate or removal rate. They're like, Wow, that's awesome. So if we have 10 million reviews, you can remove six reviews. And I'm like, That's right. You know, so I've got like three sellers on the platform that I can work with. That's not the goal, right? The goal is to go after and find the sellers that, you know, once again, that have been on the on the platform for a while that have some critical reviews, critical reviews is what Amazon is one, two, and three star reviews. And so that's what we did, we have a minimum of 500 critical reviews. And there's a number of reasons why we do that, that's kind of a sweet spot for us, you know, filing cases and getting things removed. Our goal with our clients is to get traction for them, right. Like, we have two different types of clients, we have proactive and reactive, we have proactive, hey, I'm at a 4.3, I want to stay at a 4.3 I know if I go to a 4.2 I lose, you know, 20 30% of my business, or hey, oh, shoot, we just had a situation I'm at a 4.2 I gotta get back up to a 4.3 You know, that is possible with us. But it's also sucks a little more because you you're down 4.2 And you're losing sales each day, I encourage people to hey, go get in the analogy I was used as go get a car alarm. And we all have car alarms. Now that back in the day, people would get a car alarm after they were broken into for me, it's like just get the car alarm ahead of time, right that way, nobody will break into you. So that's what we do. We go in we we take a look at the clients, we send them a sheet with all their reviews on other Asians, we run an evaluation, they give us their merchant ID, we tell them hey, these are the the Asians, they can go and pick those ASINs, the 500 critical reviews can be one ace and multiple ASINs. All as long as they're under the same merchant ID. And then what we do is we grab that we run it through our software, they don't have to do anything, they just click the ones that they want. They give us an email address we are we given them an email address, they give us access to file cases, put a credit card on file, and it's all performance driven. So there's no upfront fee, no retainer, no contract, no nothing. You know, I only want people that that want to work with us and that are seeing some success with us. So you know, we in the beginning stages, we were doing retainers and stuff when I finally just said, Hey, let's get rid of all of that. There's no risk at all, like literally you come on if we file cases, and we don't get any reviews removed. I mean, it sucks because my kids don't eat right, but the client doesn't have to pay any money, right? So kids are fine. I mean, they're they've got like little snacks and stuff. We're good for at least another month.

Andrew Maff  12:14

So, so far, what I've learned is your employees get to keep their job and your kids are gonna keep eating. So we're in a good spot. This has been a great episode. Thank you so much for joining us.

12:23

Yeah, I think we're done here. This is awesome. And I know my kids are looking at me like we are going to eat them. Like it's I'm on a podcast, as soon as we'll talk about the food later, you know, in the end my employees, most of yours. So he'll eat. I love you guys. Yeah, like we're gonna lose have food together, we'll all work together the same officers.

Andrew Maff  12:39

So, so many questions popped into my head. One, how are you differentiating a negative review that is, theoretically from a competitor versus a negative review, that's from a customer that in some cases, it suggested to leave it and actually respond to them to address the negative review? So how do you decipher which direction to go with there?

13:01

Yeah, so what we do is we're filing cases on anything that's against Amazon's Terms of Service. So you know, a client or a buyer could write a good review. But if they cuss in there, that's a problem. And they that can't happen, or if they're, you know, talked about a competitor, or if they mentioned pricing, there's some certain things, it's just a blatant violation of Amazon's Terms of Service. The issue is, a lot of the times if you file those yourself, Amazon still doesn't respond. So it becomes frustrating as sellers, right. So what we've done is we have a way to get Amazon to react to it. And once again, it's all data driven, right? So we're building out this case and explaining to him hey, listen, this is against your terms of service, you think it'd be as easy as just sending a quick email? It's not sellers from probably shaking their head like, well, we know we've tried, what those are blatant for us, those are the probability of those getting removed for us was in the 90s. Right? Because it's those ones we ran through the AI we say, hey, talks about packaging and talks about FBA, you know, stuff like that, we know that those are going to be we have a high likelihood of those getting removed. Now, when we filed those cases, if it doesn't get removed, and we feel like it's a strong case and we'll take that and go to another department right? We can there's other departments we can file with. So we have a good methodology of learning where they're gonna react when they're gonna react if they're not going to react and then at what point do we take it and go to another department? So if there are reviews that are this is where things get interesting. So let's say they are and I'm doing air quotes for the podcast people that are legit reviews. Right? And so one of the things that's very interesting about what we do is that 100 million reviews that we've collected over the last five years we build we're able to build like ever heard of like a RICO case you know he did this like with the mob and they do it like with rappers and stuff. Yeah. So where they go you know Guido in New York has this and you know, just Sheffy in New Jersey has this and they're tying them all together and saying, Hey, this is an organization there's something funny going on here. We do the same thing. We're not going after the mob or anything. We're we're friendly with the mob and everything in the Amazon and we love everybody. But the what we do is we're we're looking at all of these these buyers accounts and we're able to tie those into like a RICO case. So give An example. So you could have, you know, let's say you have three buyers accounts. And what happens is when people have these buyers accounts, if they're coming to attack you, they get lazy a lot of the times because what they don't realize is that there's somebody like us that can can recognize that there's something funny going on. So usually what happens is they're a little worried about things. And now what they're doing is they'll, you know, give it a Excel spreadsheet to a VA or something, they're gonna say, hey, go to these five buyers accounts, go buy five of these products, go give them a one star review. And these are the comments you can leave. But what happens there is a lot of the times they're using the exact same comments. So what is the likelihood that if you have three buyers accounts, and they all wrote this is the absolute worst product in the world with four exclamation marks? Zero, like, that just doesn't happen. You don't have three buyers that write the exact No, they wrote great product, maybe, right. But the more words, you use, the higher likelihood that obviously there's something funny going on. So that's what we mean by a RICO case, when somebody comes to us and says, Hey, Shane, I want you to remove all of our, you know, as many critical reviews as you can, when we have access to that whole portfolio, we also have all the data. So now what we're doing is we're tying these buyers accounts in together and we're going, Hey, Amazon, there's something funny going on here, right? Like, hey, if I'm a, I'm a seller, and I get on average one one star day, let's say that's what it is. And then all of a sudden, I got 10, one stars in a day for three days in a row. And we go to Amazon and we say, hey, let's look at this. Look at these buyers accounts. And we have Bob the buyer, right? So Bob seems like a nice guy comes and buys our product. And five gives us a one star review. And we say okay, what's the likelihood of that? Well, there's a 20% chance, right? 12345. Great. They're all let's see, they're all Okay, awesome. Bob hated our product so much that he came back and bought another product, right? Because that's what we do. I'm like, Yeah, that was a terrible product. Let me buy another one from him. Right. Let me give him another chance. Maybe that happens once. Great. So you Amazon, Bob, the buyer bought another thing from us, gave us a one star review. And then Bob, the buyer bought a third, a fourth, a fifth or sixth or seventh, eighth, ninth, 10th and Amazon? What's the probability of that? It's a what, what's that number, it's a Oh, a zero absolute zero probability that somebody is going to come and buy 10 products from you and give you a one star review. So that's what we do is we lay that all out in a case or do an escalation case. So we're going to Amazon and saying, hey, here goes the information, here goes everything that goes to the buyers accounts, they're using the same, you know, responses to things we're seeing, you know, comp or reviews, they're also using, you know, they were looking at this and they're doing, you know, they're also giving us all one stars, and they just happen to be giving this other company all five stars, we might know who the buyer account belongs to. So what happens in those situations, and this is where the magic happens is when Amazon comes and takes down those buyers accounts, our clients lose their one star reviews, and guess what the competitors lose their five star reviews. So we're seeing our clients absolutely go crazy in the BSR going up in the rankings, because they've lost their one stars, which are heavily weighted on Amazon, I've heard anything from a one star equaling anywhere from five, five stars all the way to 25 stars, we you know, people debate on what that is, but it is a weighted average, there's no way that a five star in a one star even when you remove a one star, which is historically never been done, unless you're using black hat tactics, which are putting your account at risk. Everything we do, we're finally with Amazon, Amazon is a one removing them. We're just giving them all the information to make the right decision.

Andrew Maff  18:19

Yeah, I mean, it's the same thing, right as if you have like a listing suppression, or I've worked places before where like, we just needed to change out a credit card and the entire account got taken down. And the only way to get it back up is to essentially file a glorified book report on what's necessary. So I can see how some of the stuff that you guys have put into place and the responses that you have to send to Amazon. Why most sellers are unsuccessful with it is because they're just like this is wrong, take it down to you need so much more information. And if they say no, it's just no forever. And then you can never get it taken down. So it's very interesting the way that you've taken this

18:57

approach, and you and you get it, you hit the nail on the head, it's one thing to say, hey, Amazon, look into this. It's another thing to say, Hey, this is all of the information that you need to make the right decision. That's when Amazon is removing those reviews. So that's because they're looking at this and going, Oh, this is awesome information. And clearly they've done their research. Clearly they these, this all makes sense and the probability and its data, right? So you can't really fight the data. It's like, Hey, I didn't write this comment. The people wrote this comment. I'm just showing you what that is. And I'm giving you the probability that three buyers accounts would write three of the same comments. There's zero probability. So there's no the person on the other end on Amazon doesn't need to go talk to anybody. They're like, okay, there is that doesn't that's very fishy, right? These are the kinds of things that they look for. We're just given them and saying, Hey, you guys go ahead and make an educated decision on this. Once again, if they say no, we can go to other departments, right? Because Amazon's very siloed. So we can go to other departments and say, Hey, and we filed the case differently with them, right? Maybe there's a certain terminology that we use, it's differently. What we're really trying to do is clean up the platform like Amazon Nobody likes what we're doing right? And, and also so to the sellers, right? We're really doing everybody a favor. We're saying, hey, Amazon, you don't have to put in tons of work, we're giving you all the information and the seller saying, Hey, thank you so much for doing that. I've been trying to do that for years, and I just haven't figured out how to do it. I know some sellers that that have a little success with it here and there. Our success rate, as you guys know, is anywhere from five to 15% 15% been on supplements, highly aggressive industry always been attacked, Blackhat lot of Blackhat stuff 5% We have a high end break company for bikes that are like $500, you're not going to buy 10 of those and give them a one star review and send it to Australia, like it doesn't pencil out. Now supplements on the other hand, it does, you know, you get a bottle of creatine that you pay $1.50 for you sell it for 30 bucks. And these guys are making, you know, gobs of money. And what happens is, is it you start to lose your rankings, and you're gonna go do well, you're not supposed to, but people are doing unethical things because they want to get back to their number one spot or their number 10 spot or number 30 spot. So what happened was is people they start doing things that they normally wouldn't do, because they're doing it to you. Right, right, you're not going to go and fight your neighbor. But if you walk by your neighbor, and they slap you the next time you see your neighbor, you're probably going to slap your neighbor, which is not recommended. I don't condone violence, I don't think that's recommended. And make sure you feed your kids too. That's another thing that I would like to put up in the podcast. But you get my point. Right? Like, yeah, we're looking at this going, Hey, we you know, there's there was a problem here. And we're just educating Amazon, what's going on given them the data?

Andrew Maff  21:24

Yeah. So none of my listeners are stupid, except that one, and he knows who he is. But we all know that if you got great reviews, you're gonna see nice results, you're gonna get nice rankings, you'll see the profit come in, it'll justify itself blah, blah, I get it. How do you tie any kind of ROI to the removal of reviews? Like I know, you mentioned in some cases, which sounds like great cases, which is you get the ones removed, and your competitors also removed their five star. So it's just a complete flip, which is great. But how do you is there a way that you have been able to paint an assumption on hey, this specific Asin has this many negative reviews? We think we can get rid of this many, which should allow you to increase by x like is there a way to paint that picture?

22:15

Yeah, you're asking for the magic, the crystal ball that's on backorder. With with Amazon right now, my answer to you is we've created calculators to try to figure out that assessment. The problem is, is Amazon is constantly changing the algorithm, right? And for us, it's not a you know, we're not trying to, like do anything weird to Amazon, we're just trying to figure out so we will help our clients, right? Because that's the big question. They'll go, Hey, I'm down to a 4.2. What do I need to do to get to a 4.3, we do have actually in the dashboard, which obviously, we can't see this today on the podcast. But in our dashboard, we actually have all of the reviews, we have all the reviews in there. But we also have all the reviews that we've removed, so they can see all of that we also have a thing that will be if you look at a particular ASIN, you can click on it, and it'll show a graph, there's two different representations. And it'll show Hey, you're at a 4.2. And now you're heading up to a 4.3. And we'll have the 12345 stars. And once you start to see, you know, obviously they're getting more four and five stars, and we're taking care of their one twos and threes, you can start to see that graph heading in that right direction. The problem is, I don't know if it's 10 reviews, I don't know, it's 15 Depends on the category competition. I mean, there's so many variables that get played into that, if I did have that crystal ball. I mean, then my kids would definitely be eating right. I mean, then they would definitely have food. You know, I definitely keep on my employees. And but you know, we're working on that we're working on that. But yeah, we're the thing is, is we have seen some huge successes, you know, where we're like, we're looking at this and going, Hey, I think maybe it might be you know, 25 reviews, maybe we'll say that internally, and then great at 15 reviews, they jump up to the next level, right? So it is difficult to say I don't ever try to quote anything to clients, I try to be very conservative about what the results are going to be. I mean, I think what I always tell clients is at the end of the day, I think we all know that we're heading in the right direction by removing the reviews, right? Yeah. And what is that ROI to it? What I tell clients is, let's, let's think about this, if you're at a 4.3 now, and you've ever been to a 4.2, I had a client, a supplement client that was losing 30% of their revenue from that drop, like that big of a drop. And so what they have to figure out is like, okay, is okay, so if I lost, you know, I was doing 200 units a day, and now I'm doing 30 units a day, or whatever that is, and that's what the right that's not 30%, you get my point. So let's say we have that drop, let's say it's $5,000 a day. Is it worth it for us to go after those reviews when nobody else can do this? Are you just going to keep pushing with four and five star reviews that aren't going to have anything close? Or maybe going to be as weighted as much as the one two and three stars? The answer is with 80% of the 90% of the people is yes, let's give this a try. We know there's nobody else that can do it. We know we're at least heading in the right direction. If we don't get to that 4.3 We know we're at least you know heading in the right direction and good things are happening there but knowing exactly what that number is that's not something that We've got figured out, but I will tell you when we talk about that 500, you know, once again, 500 critical reviews over one ascender, multiple ASINs. The goal of that is to see traction, right? Like, if you only had 100, remove 10 reviews, you're probably not going to see much traction there. So, and I've even told clients, I'll do a little consultation, and I've had people where I've told them how I don't know if this is going to make sense for you, right? Like, let's say they have, you know, 1005 stars, and they have 1001 stars. And they're like, oh, and they're at a 4.0. They want to get a 4.3. They're like, what do you think it's going to take to get a 4.3? And I'm like, probably a lot, right? Like, because the problem is that that the distribution there is like, you know, 1000 and 1000. Maybe it could be hundreds that you need to remove? I don't know, maybe it's only 50? I don't know. But the problem is I look at those situations, and I tell the client, if you're looking to get to the 4.3, there's no way I can guarantee that because there's a lot of one stars now, do I think you should probably start cleaning some of the app I do, right. But if you're looking for this crazy traction, you know, my thing is managing expectations. If you're looking for a miracle, I would love to give you a miracle. And I'm praying that I give you a miracle but I can't promise you a miracle. So you know, we look at those types of things. I've had clients where I've gone through and said, Hey, I don't think it makes sense. and a high percentage of its to move forward with us, which is awesome. But I liked it. For me. It's a you know, it's not just about making money. It's about I really because I know how we felt when we were getting attack. It's sucks man, you're helpless. necessarily that told me one time he goes, it's like, this is what he says is like having a rock in your sandal that you can't get out. Like you can still walk and you just kind of learned to deal with it. And I was like, that's a pretty good analogy. Sometimes it probably feels like a switchblade. But that's okay. We'll start with the rock. I think that's, but that's what it feels like. And so for me, I want to make sure that people are like getting traction when people to go, hey, you know what Shane crushed it we were at 4.2 into a 4.3. If I don't think that's going to happen, then we go to the second level of hey, well, it is better to clean up the account. If you have very thin margins. We don't make sense. Like, like, don't go with us, right? Like, because it's performance driven. But if you're saying, Hey, this is my last $2,000, and I'm gonna spend it with you. And this is a Hail Mary. Hold on to the $2,000. Like, you know, I'll figure out something the kids will eat some other way will fit mom, we'll do something, we'll figure it out. Don't worry, the kids will be fine on our side, you guys keep your money. But once again, expectation is really important and understanding what we think those results can be. But once again, making sure the expectation is on. We're all on the same page.

Andrew Maff  27:29

Love it, Shane, thank you so much, obviously really appreciate you being on the show. I would love to give the opportunity here to obviously let everyone know where they can find out more about you more about trace views. And obviously I know you had some fun stuff for everybody here too.

27:43

I do. I do. So once again, Andrew. Hey, thanks for having me. Man. I really, really appreciate it. It's been awesome. Found the podcast. I'm a big fan. Yes, we got a number of things. So if anybody wants to come and find me, you can the website is just traceviews.ai. That's T R AC E F U S E.AI. Great. my email, my direct email is Shane@tracefuse.ai. And that's that's a shocker that I put my name in front of that. And then that's pretty creative. And you guys are all welcome to email me at any point, any questions, anything like that our demos are free, nothing costs anything. Once again, it's all performance driven, there's no risk at all, you can take a look at the website. Once again, we can show you the dashboard, we do a great little demo, I'm not a my team's not heavy salespeople, we're the only ones that can do this. So it's that makes sense from an ROI perspective. Hey, move forward in for your audience, Andrew we have a special that we're doing. And I think you guys are going to have a link that they can click on and go over where we're actually going to offer the audience $500 off their first invoice so he already got minus $500 in your account or plus $500 in your account. So what would happen is once again we would go file cases and we remove 10 reviews great you only have to pay for eight of them so that's the thing that we'll do you guys and click on the link go and sign up we'll do a demo up myself or some of my hair sales guys but they're not really sales guys it's really like the more informational people because you know once again it's just educating the clients and what they've got so once again guys please sign up for that and it's been no risk at all just come in sign up and make sense and you like us and you want to before we move forward if not, then not a problem at all. We wish you nothing but success on the Amazon platform.

Andrew Maff  29:17

Beautiful Shane thank you so much. Obviously everyone who tuned in thank you as well please make sure you do the usual rate review subscribe and if you give me a negative review, I'm going to have Shane remove it. So as usual, thank you all for joining us and we will see you all next time. Have a good one.

29:30

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