#607 – What is the Best Amazon Keyword Research Tool?

68 minute read

Published: October 22, 2024

Modified: October 23, 2024

Can unlocking the true potential of Amazon keyword research tools lead to a significant boost in your sales? In this episode, Bradley Sutton dissects, with a live case study, the Amazon keyword research capabilities of tools like Helium 10, Jungle Scout, Data Dive, and Amazon’s Product Opportunity Explorer, revealing why Helium 10 might just be the game-changer you’ve been searching for. Through a live case study, Bradley showcases how Helium 10 stands head and shoulders above its rivals by uncovering a staggering number of relevant keywords that could translate into thousands of dollars in additional sales. With a focus on transparency, we promise an unfiltered look into how effective keyword research can transform your Amazon SEO strategy.

Our journey into the art of keyword research begins with launching a Tamago Yaki pan on Amazon. We guide you through the crucial steps of identifying top competitors and selecting the right keywords to ensure success, even if you don’t have access to advanced tools. You’ll learn how to interpret search volumes and conversion rates to identify purchase trends and refine your keyword lists by exploring related niches like “square pan” and “omelet pan.” With personal anecdotes and insights sprinkled throughout, this episode offers practical advice for sellers at every level.

As we peel back the layers of keyword analysis, discover how tools like Helium 10 can help you sift through the noise and focus on keywords with true potential. We emphasize the importance of aligning with Amazon’s algorithm and the role of sponsored ads in securing product visibility. By exploring tactics like creating comprehensive keyword lists and leveraging Helium 10’s unique features, you’ll understand why our Amazon keyword research tools are an indispensable ally for serious sellers. So, let’s enhance your product’s visibility and sales potential on Amazon, one keyword at a time.

In episode 607 of the Serious Sellers Podcast, Bradley talks about:

00:00 – Amazon Keyword Research Tool Battle Royale
07:41 – Amazon Keyword Research Strategies Using Tools
13:28 – Amazon Keyword Research Tutorial
16:41 – Amazon Keyword Research Tools Comparison
19:23 – Product Opportunity Explorer Niche Research
25:16 – Data Dive and Jungle Scout Keyword Research
26:42 – Amazon Keyword Research Tools Analysis
33:42 – Keyword Ranking Analysis and Competitor Evaluation
39:03 – Amazon Keyword Research Tactics and Strategies
41:35 – Keyword Research and Analysis Strategy
49:32 – Keyword Analysis for Listing Optimization
52:45 – Keyword Research Comparison and Analysis
56:05 – Keyword Research for Amazon Products
1:00:55 – The Importance of Getting Enough Keywords
1:08:14 – Keyword Analysis Comparison POE, Jungle Scout/Data Dive, & Helium 10
1:14:57 – Amazon Keyword Research With Helium 10
1:18:02 – Conclusion: What is the Best Keyword Research Tool For Amazon Sellers?

Transcript

Bradley Sutton:

What is the best Amazon keyword research tool available? Amazon Product Opportunity Explorer, Helium 10? Jungle Scout, Data Dive? Today we’re going to do an unprecedented live case study. We’re going to show you how you would do keyword research in the three main tools out there and you’re going to be able to see how Helium 10 crushes the competition by finding three times as many relevant keywords, 10 times as many overall keywords, than Jungle Scout and Data Dive, and how these extra keywords could lead to $6,000 worth of extra sales for you, even under the most conservative calculations. How cool is that? Pretty cool, I think. Hello everybody, and welcome to another episode of the Serious Sellers Podcast by Helium 10. I’m your host, Bradley Sutton, and this is the show that’s completely BS-free, unscripted and unrehearsed, organic conversation about serious strategies for serious sellers of any level in the e-commerce world. And I’m going to do a first today and that is basically I’m going to do a live breakdown of all the different ways. We’re going to have like a battleground, a battle of how can we make the best listing. This episode is not about listing optimization per se, but is how can you find the best Amazon keywords in order to put in your listing and then end up with the best, most optimized for Amazon SEO listing.

Bradley Sutton:

So we are trying to find out what is the best Amazon keyword research tool out there, and the competitors are going to be Amazon itself. Product opportunity explore completely free for Amazon sellers. Contestant number two is going to be Jungle Scout and for that matter, we’re going to also compare to Data Dive, which actually uses Jungle Scout. So we’re not going to go dive into Data Dive because I don’t have an account with Data Dive, but we’re going to just extrapolate that the same keywords that you would get in Jungle Scout are the same ones that you would get if you’re using Data Dive. And we’re also going to look at Helium 10. Now here’s the thing, guys. This is something that I think I’m pretty unique at you guys have seen me do. I don’t want to call them expose days, but just kind of like deep, deep dives no pun intended into accuracy. For years I’ve been doing that for five, six years.

Bradley Sutton:

Maybe we can find some footage from some old videos right here that we might show where you know, like six years ago I would go live at all times a day and I would just like hey, let’s take a look at the accuracy of different tools, because I would get upset when people would give out misinformation, say, oh, this x is more you know accurate than y, etc. Etc. I’m like, no, I’m not gonna like make up numbers or do something where maybe even I was 100% right, but you guys can’t believe it. Maybe you guys thought that I was choosing some specific set of you know numbers that made Helium 10 look good. No, no, I was like let’s just take products from the top of my head and we’re going to broadcast this live.

Bradley Sutton:

Now, this is a podcast, so I can’t broadcast a podcast live, but what I’m doing, I am going to be doing this all from scratch and actually I’m going to be sharing my screen throughout and you guys are going to see the timestamp, ok, like here’s my screen, instead of just sharing like a clip of my screen like I usually do. That’s why I’m even using different software to record this, guys, for those of you watching on YouTube, just because there’s haters out there who are going to say this info is staged or who knows where you got this information or whatever, or you probably like, did it four or five times and you can find the best results. That makes the one that you want to win. No, I don’t do that, guys. I keep it real. Right, this is a no BS podcast, right? So if you guys look those of you looking on screen you’ll see at the bottom of my screen, yes, it is 3:07 AM. It’s how passionate I am. I’m like I got to do this. I’ve been sick for a week, haven’t been able to record this podcast. I’ve been wanting to, so I this is like the only time I can do it. So it’s 3:07 AM right now.

Bradley Sutton:

When I share my screen, you guys will be able to watch this, this clock, on my screen, and then you’ll be able to know if I’m like editing it out Now. That being said, whenever I do podcasts, where I have to do a lot of screen share and stuff, a lot of times I do actually pre-prepare the information, not because I’m trying to stage something, but you know most of you listen to this podcast on the audio and you can’t be like waiting for me to load Amazon, which sometimes takes forever to load, or to load a tool or to run through a certain tool. So I’ll like preload the stuff just so that I can hop through, or I’ll just edit it out in post-production or not. Me I don’t edit, my team, like Mel and Andre and stuff We’ll edit this out so that that you know what you guys see on the end podcast is like a full kind of like seamless transition. But again, I don’t want people trying to raise a bs flag on me. So what I’m going to do is I’m going to keep everything I’m recording this completely live and then, instead of trying to edit it afterwards, like the screen share parts. If there’s like dead periods where I’m waiting for Amazon to load, or waiting for Helium 10 to load, or Jungle Scout to load, or signing in or something, we’re just gonna like fast forward it. But then you could, like you know, if anybody wants to like call bs on me, you can, like you know, pause it and stuff and see that I am not editing out big chunks of this or trying to, you know, come back later on and find better results or something like that. Right, I am recording this 100% raw. I have not like gone through this exercise on this particular career. I’m doing a completely new product and everything and I want to basically see how this is going to work.

Bradley Sutton:

So let’s get into it. Here’s the scenario we are going to have a product that we are going to pretend that we are going to make and I’m going to use these three different tools Amazon, Jungle Scout, Helium 10 in order to see what are the keywords that are going to come up If I’m doing the research properly using one of those tools. Basically, how much sales am I leaving on the table if I do not have all the right keywords? And which tool is the best for Amazon keyword research? At the end of the day? And obviously the answer is the one that is going to give you a listing that is set up for SEO success on Amazon and indexed for the right keywords. Okay, so let’s go ahead and start this now and let’s first talk about the product we’re going to choose. All right, and the product I want to choose is tamagoyaki Pan. All right, I was just watching this series that I did with Clarence, the FBA bro from Singapore. We filmed a series in Vietnam about mini–Project X and he talked about how his process was to find this tamagoyaki pan it’s like a Japanese omelet pan and how he sells like 300 units a month on this. Now, and he did it kind of like Project X, where he showed his whole journey on how to do it. So let’s just pretend that we are new to this niche and we’re gonna like you know what we want to make our own tamagoyaki pan. All right, so that’s our test product.

Bradley Sutton:

All right, so let’s go ahead and look at it on Amazon. This is the first stage of keyword research. Right, let’s go ahead and type it in. Tamagoyaki pan, I think, is the main keyword. I’m not going to use the Amazon auto complete there. Here it is. All right. And his product, by the way, is this one, this Yum Om Nom, right here. All right, so he’s like one of the top sellers. Looks like he sold 200 in the last month and this is his product. He was one of the first sellers of this and now there’s a lot of copycat. I’m not suggesting that sellers should get into this niche, all right. So the first step of product research is we want to see, kind of like, who are the top sellers on this page. So let’s go ahead and run Helium 10 X-Ray to see who are the top sellers. So now the first thing that I like to do is I like to sort this by sales and also, kind of like filter out who are the main competitors. And that’s what anybody should do when they’re doing their keyword research, right? Isyou need to make sure that you are looking at the products that are most similar to what you are going to sell. So let’s just pretend that I’m going to make a product similar to his, all right, in that or the other. You know some of these other ones where it’s like a set, it’s not just the pan itself, it’s not just a square pan, but it’s got to include, like you know, a spatula and maybe a couple of other things here like he does in some of these other products here. Okay, so that’s the range I’m looking for, like products that are, you know, maybe cost between $20 and $30 retail and that are selling well, all right, so what I’m going to do is just here.

Bradley Sutton:

Actually, the first thing I want to do is I’m just going to like narrow down. I want to get in the first couple of page of results here. Who are the ones that actually have Tamago Yaki in the title? Because that kind of like make sure that it’s definitely one of my competitors. I just happen to know this niche, since he’s talked about it a lot. So I’m going to say, hey, title keyword search, tamagoyaki, and let me go ahead and hide sponsored results just so I can get the top keywords or the top products without duplicates here. All right, now I’m going to sort it by sales, and what I want to do is I’m actually going to choose a baseline product. The way Helium 10 and Jungle Scout work is, you start with a baseline product when you’re using the reverse ASIN tools. So let me just choose one of the low selling ones. Is my baseline product? Okay, and then now let’s choose like the top 5, 6, 7, 8, 9, 10. I’m not going to sure how many I’m going to choose of the ones that are closest, that are selling the best, that are closest to what I’m trying to sell and that are selling the best, like, for example look at this this is the. Is the one of the top sellers here? But to me it’s it does. It’s only the pan itself. So is it a competitor of my product? Probably, but I just want to really keep my keyword research tight on this project.

Bradley Sutton:

Okay, so I am not going to choose this product that only has the pan, all right, even though it’s one of the top sellers here. So this one here that I see a spat, it’s got a spatula, it’s got a little fork, uh, so I’m definitely going to choose that one. Here’s another Tamagoyaki set selling , 500 units a month. I’m going to do that one. I’m skipping over these couple ones here that do not have accessories. Here’s another one that’s 23 bucks. That’s definitely along the lines of what I want to sell. So we’re gonna choose that as a competitor. Here is another one. Looks like it has some kind of like lid. All right, we’ll go ahead and choose that one, and here’s one more, and let’s also choose Clarence’s product right here. So that’s how many? Do we have one, two, three, four, five, six, you know what? Let’s do one more for good measure, if I can find one that’s close here. This one has a spatula and this one has like a little tray here. I don’t know about that one. This one has. Here we go. Here’s a nice little set here that’s selling 200 a month and has a whole bunch of accessories, all right. So now we have got six. Now I’m gonna go ahead and in another window here I’m gonna go ahead and run Cerebro. I’m not even going to fast forward this part because I’m not going to do Helium 10 yet. I just want to be able to pull those ASINs into here. Now what we are doing like could I have done this without Helium 10 to pick this? I technically could have just looking at Amazon and what I would be doing is looking at the ones that had the recent purchases that were pretty high. Now, some of these, for whatever reason, Amazon doesn’t give recent purchases, even though it’s selling more than 50 a month, so you can’t always rely on that. But if you guys don’t have Helium 10, you don’t have Jungle Scout, you’re not completely dead in the water. You could use this, this feature, in order to go ahead and know approximately how many units might be sold a month. All right. So what do you do? If you don’t have Helium 10 and Jungle Scout? How would you get the right keywords? If you’re an Amazon seller, you have access to something called the Product Opportunity Explorer.

Bradley Sutton:

Now, this is going to be a tedious task, but we have to do it, okay. So let’s go ahead and hop in. First competitor here in this Battle Royale of keyword research on Amazon is Amazon itself, all right. So, those of you who don’t have a tool, what do you have to do? All right, you go into Product Opportunity Explore it’s under growth, and then Product Opportunity Explorer. Now, the first thing that you’re going to want to do just to make to see that there’s not the problem with the Opportunity Explorer. It’s amazing, and this is first party data, but one of the things is it doesn’t always have all the niches, so you have got to make sure. Hey, does this have the niche that I’m looking for? And you can see right here Tamagoyaki. There’s a lot of them, all right. Tamagoyaki pan made in Japan? Probably a lot of these are part of the same niche, but this is what I search in Amazon. So let’s go ahead and search at Tamagoyaki pan, all right, and here it is matching niches for Tamagoyaki pan in United States. Here is one right here. Okay, now how this works is let’s go ahead and click on it. Zoom out a little bit here. This shows all of the main products in this niche.

Bradley Sutton:

Now, what do you notice about some of these products. These are some of the exact products, guys, that we chose to be like, what we are going to analyze once we get to Helium 10 and Jungle Scout. Okay, so we know we’re in the right niche. But again, we’re talking about keyword research. So, if you’re using opportunity explorer, how do you get the keywords? You go to search terms, okay, and search terms has all of the keywords. All right now, right off the bat, since I knew that most of my main products are all on here, I could see it. They’re like six times the, the ones that are the top three clicked, or in top three from brand or from brand analytics actually this one might be from search query performance. But it’s showing up right here for the last 360 days. So I know that almost every keyword in here I want to have. So, right away, guys, within three minutes, I’ve got 20 keywords. Now, what do these keywords represent? These keywords are the keywords that make up 90% of the clicks for this niche of products. All right, so, in other words, how many keywords does it take to make up 90% of the clicks for the keywords that drive the sales for these products? All right, if there’s only five keywords, that means five keywords is getting 90% of the clicks.

Bradley Sutton:

All right for the entire products that are showing up. It’s kind of crazy. Right now, Amazon changed the definition of this. You know, sometimes the part that hasn’t changed is the. The products are actually what makes up the niche as well, and the number of products is what takes up 90%. All right, so sometimes Amazon just arbitrarily decides which keywords one of these niche, but whatever their definition is, the main definition hasn’t changed. These are the main keywords that are driving the traffic to this group of products. All right, so right away we are going to save these 20 keywords here, and I bet you these are going to be a lot of the same keywords we’re going to find in Helium 10 and Jungle Scout later. You can see some stuff here like Japan, Japanese omelet pan, Japanese frying pan, rectangle pan, tamago pan, tamago is egg by the way in Japanese, tamago just by itself, tamagoyaki pan non-stick. A lot of great keywords here. And then you can see the search form like the Amazon a denormalized search volume for the 360 days and you can see the search conversion.

Bradley Sutton:

This is important, all right. This kind of tells you what this tells you about how many sales have happened in the last 360 days for a certain keyword like, for example, where’s the keyword that I was looking at, Tamagoyaki Pan? Is that even one of these top keywords, right here? This is crazy. This is the Tamagoyaki pan niche. Oh, there, it is right there. No, I see, I’m doing this live, guys. I don’t even I can’t even see what I’m looking for. But hold on, let me look for it. Tamagoyaki pan. Where is this keyword by? Oh see, I’m blind guys. Oh, my goodness, it is the very first one here. That’s why I couldn’t see it. All right. 115 000 searches now over the past. You know we don’t, you know it changes week by week, but over the last 360 days Amazon is telling us how many purchases there were 2.87 of those searches resulted in a purchase. So let’s go ahead and multiply that 115,234 times a 0.287 is 3000 purchases, all right, from the search of Tamagoyaki pan. So that that is an important metric, for any tool is to know how many cert, how many sales actually come from the keyword. I like to look at it at a weekly level, all right, not just at the year level, you know, because you know sales are not equal throughout the year, but still this is a super important metric.

Bradley Sutton:

But anyways, let’s go ahead and download these keywords here. Yes, I downloaded it right here to my Excel. But now here’s the thing we have to see. Are the main products that I’m looking at also part of other niches? All right, this I just pulled up. I just happened to pull up Tamagoyaki Pan and it and it showed up. But now, one by one, what I have to do is I’m going back to Amazon and looking at that list of keywords or that list of products that I wanted to analyze, and now I want to see are these part of any other niches? Because, again, the way that Product Opportunities Explorer works for keyword research is it’s looking at a niche like niche groups of keywords that come from a niche, all right. So let’s go ahead now and, in Product Opportunity Explorer, take that first top selling ASIN, all right. And then I’m going to go to niche view and here it says matching niches for this ASIN, and I already saw the Tamagoyaki pan. But then, look here, I see something that says square pan.

Bradley Sutton:

So this is what I do. All right, it could be like an outlier in one of these niches, but I needed to have like at least, like you know, maybe 4% of the niche to really tell me, hey, this is part of the niche, all right, so let’s go over here, let’s look at square pan. Okay, so it’s one, it’s one of the top ones here. And then let’s look at search terms. And now it does this product have? First of all, was it one of the top three clicked in this niche of keywords? And I could see it was not. I don’t see this ASIN showing up anywhere, so that’s not a good sign. But let me go look at the products. And then again, do I see enough purchases, more than like 4% for some of these top products? And definitely is. I see multiple ones. So you know what? I’m going to go ahead and include this list of keywords. Now, here’s the problem, though, with this is that these aren’t. I’m already getting a little bit outlier on some of these keywords, right, but it’s okay. It’s okay, but some of the like tamagoyaki was not anywhere in this keyword list. I see square fry pan, square pans for cooking almost was about to say square pants sponge Bob or something right there. All right, but you know what?

Bradley Sutton:

Let’s just go ahead and download this list of keywords to Excel, all right? Let’s look up another one. Let’s look up this seller. Here’s another top seller. Let’s go ahead and copy this ASIN. This is tedious, guys. This is tedious, but it’s okay. Every kind of process here is going to be a little bit tedious, all right. So I just put another ASIN in Product Opportunity Explorer and now I see is there any other niches? No, tamagoyaki pan, square pan, all right. So what I’m going to do now you guys are probably going to watch this and fast forward one by one. I’m going to go through the ASINs and I’m going to make sure if I have any other niches of keywords that I can download. Now I’m going to take away the fast forward really quick, guys. Here’s I found one that I didn’t choose. You probably didn’t see it in the fast forward, but there was one that were. It came in the niche Japanese, but it was way too broad. I didn’t get even 4% of the clicks and it wasn’t even one of the top three clicked. But look at this one. This one is omelet pan, definitely a little bit more relevant. And then take a look at some of the other products. Definitely more than four percent of the clicks total when you start adding them up, so it’s a little bit wider from what I was looking for but still there’s some outlier keywords that I want to go ahead and have on my list.

Bradley Sutton:

So I’m going to go ahead and download the keywords. Whoops, I download the the products. I need to download the keywords from these search terms of omelet pen. Let’s keep going and looking at the other products. All right, I didn’t find any more niches. So three total niches one like really killer niche with some great keywords, two other ones that are more loosely related. Now I’m going to go to those Excel files and just combine all of those keywords into one list of keywords. Hey guys, we just fast forwarded a whole bunch right here, but what I did was I combined these three Excel files of Product Opportunity Explore keywords into one file here and I came up with 47 keywords. Okay, so these are the 47 keywords that I would be able to use for my listing. Now I’m curious is Jungle Scout going to find all of these keywords? Is Helium 10 going to find these keywords? Are we going to find more keywords? But this is the freeway. All right, guys, you don’t have to be using a tool to just find any relevant keywords. This is still more than you could have done on your own. This is amazing that Amazon is giving this. You know, like you might not even know Japanese. How would you even know to use the word tamago and tamagoyaki and the different kinds of search terms that I mean? How would you have known that egg roll pan is relevant to this and is searched 9,600 times? You might not have known that without a Product Opportunity. Explorer right. So now let’s go into Jungle Scout to go ahead and pull the keywords from there, all right.

Bradley Sutton:

All right, let’s go ahead and copy the seed ASIN and put it to Jungle Scout right here. It works the same as Helium 10 does. And now I’m just going to copy the rest of these ASINs as well, one by one, and get it right here into Jungle Scout. All right, I got all of the ASINs pasted. Now, remember, we’re not going to go into Data Dive, but what is Data Dive actually? Used to be based on Helium 10, like it would pull from Helium 10, but for a while now, Data Dive pulls from Jungle Scout, so I don’t think we need to duplicate it. Data Dive has way more advanced features, Jungle Scout as far as, once you get the keywords, like how it um sorts them from, from what I understand. But it’s still like great stuff in, great stuff out, garbage in, garbage out. All right, so the key we’re looking not necessarily at how you sort it later, but what are the even keywords that Data Dive could even have? It’s a hundred percent what Jungle Scout is going to show for this. So, so we’re just going to pull in this same information here. All right, and how? We had 48 keywords that Product Opportunity Explorer had member. Let’s see, Jungle Scout has, wow, almost 10 times as much as product opportunity, sport as wow, almost 10 times as much as product opportunity explored. Now, this doesn’t mean that these are 442 good keywords, but there’s 442 keywords, so let’s go ahead, and I’m just going to go ahead and download that for now too.

Bradley Sutton:

Later we’re going to come into this and pick the best ones, because not all of these are going to be the best absolute keywords. But you can see some of the same keywords here Omelette maker, omelette maker, small frying pan, egg pans, nonstick, et cetera, et cetera. Ok, so let’s just take a look at some of these. Why it showed up. Let’s look at average competitor organic rank, like maybe they’re all ranking pretty high. I clicked on sort by average competitor rank. Oh, it didn’t sort it right. I’m going to have to click this again. So we might have to fast forward a little bit more here. Guys, that you can see it’s 3 38 AM. We’re not skipping around here. Can see it’s 3 38 am. We’re not skipping around here. Let me stop the fast forward real quick. Just call out my hat. This is what I call my keyword research hat. This is actually a minor league baseball team from Chattanooga. They’re called the lookouts, right, so now you see the logo, how their eyes is looking out. To me that’s about keyword research and just kind of cool. That’s Chattanooga C for Cerebro in Helium 10.

Bradley Sutton:

All right, Jungle Scout still hasn’t loaded. So I guess we got to fast forward a little bit more. All right, here we go. So these now should be some of the most relevant keywords because the organic rank are all mostly high. Let’s see, if it allows me to scroll over here. And yeah, you can see here average competitor rank. Some of these are four, five, six and well, I don’t know. Number three keyword here it says Japanese appliances and Korean household items. I don’t want to judge that this could be a good keyword for it. We’ll validate that a little bit. But some of the good keywords definitely are showing up here, tamago, yaki, egg pan. Sound familiar? That’s what we saw in Product Opportunity Explore.

Bradley Sutton:

So Jungle Scout, right on with this. But some of these keywords obviously don’t have much search volume at all because they’re they’re kind of junk keywords here. So we’ll filter this later. I already downloaded them all, so it should be okay. Now, yeah, I’m not going to go into these 442 keywords yet. We’re definitely going to go ahead and take a look at it. Now for Helium 10 Cerebro remember I clicked the button when we first started. I haven’t looked at the results. Let’s go ahead and look at the results now and how many keywords we had remember 48 Product Opportunity Explore ten times as much. Jungle Scout with 442, I believe. Helium 10, 4689 keywords.

Bradley Sutton:

All right, we see who’s the leader so far. But again, let me just make sure you understand this. This is not saying, oh, this is 4,689 good keywords, just like Jungle Scout, I’m sure, is not saying, hey, that’s 442 good keywords. You saw some garbage keywords in there and I’m sure there’s some keywords that are loosely fitting. The way that tools like Helium 10 and Jungle Scout work is it’s taking a set criteria. So, for example, the three data points that, or the two data points that Jungle Scout is looking at is the keywords where a product is ranking, I believe, only in the first two pages. We’ll verify that once we look at the results, either organic or sponsored. Where Helium 10 is looking at is where any product that I had entered is ranking at all. All right, in the first seven pages. And organic or sponsored. Or sponsored brand video ads or editorial recommendations, or sponsored brand headline ads, et cetera, et cetera, et cetera. And also it’s looking at where all the Amazon recommended keywords are. That means that is a direct tie into Amazon. So right away, without even looking at this, I already knew that we were going to come out, or that Helium 10 was going to come out ahead in number of keywords. But the point is, what about the valuable keywords?

Bradley Sutton:

All right, there’s going to be some. You know, just because a product is ranked on page six or seven or even page two, does that make it a great keyword? No, we’re going to like really take a closer look and see what gives us the best keywords. All right, so again, just looking at the raw number of keywords that we have to choose from. Good or bad? We make that decision later. How many do we have in Amazon? I believe it was. Let’s take a look again 47. All right. How many in Jungle Scout? 442. How many in Helium 10? 4,689. All right, we’re still not saying anything is good, bad or indifferent. All right, let’s now. I’m actually going to start backwards now, since the last one that I did was Helium 10. Let’s actually go to the process and create our final list of keywords, of what we’re going to use for Cerebro, all right. So the first thing that I’m going to do is pick what are the best keywords, according to Cerebro, for the most close to you know this niche. That are the top products are all ranking, and all ranking highly for, all right. And I’m actually going to put some search volume behind it. Actually, I was going to, I’m going to, or it did already. It put minimum 500 search for. I’m going to go a little bit less, cause this is not a huge needs. I’m going to go minimum 300 and competitor rank average between one and 40. And at least five of them are all ranking for, all right.

Bradley Sutton:

So let’s go ahead and apply those filters and see how many keywords come up here. 25 keywords, all right. So that is a decent amount of keywords and you can see the quality of these keywords. Japanese egg roll pan All right, that’s exactly right. What else do we have here? Japanese pan, tamagoyaki, tamagoyaki pan that was our original keyword, right there. Tamagoyaki pan, square egg pan. Japanese cookware, Asian cookware these are definitely the top keywords. Why are they showing up? Well, look at the rank of these. You can see, like this one, there is one product that is rank one, another rank three, six, seven, eight and eleven. All of those are on the top of page one. That’s why this came up. Now let’s just do the same filter here in Jungle. So I still downloaded everything. But let’s say 300 search volume. Hopefully I can do filters in Jungle Scout. I haven’t done this in a while. Search Wait what? Oh there it is. Search volume. I was getting kind of worried there. Minimum 300. I can see that there’s a minimum 279. So if you want to go less that’s probably one of the reasons why Helium 10 has more keywords, because it looks like the minimum that Jungle Scout has is 279 let’s go ahead and do 300. There we go. Had to fast forward this. I don’t know why it’s either my computer is slower, chrome is slow or the orange guys are slow, not sure. But anyways, 300 minimum search volume. And what else did I do in Cerebro? I said a competitor rank average between 1 and 40. Do we have that here? Searched ASIN’s average rank.

Bradley Sutton:

All right, it looks like in Jungle Scout it’s called searched ASIN’s average rank. So let’s do 1 to 40. And then let’s go ahead and do how many competitors are ranking for it Five. Okay, had to fast forward again here. It looks like there is not one that tells me how many. Oh no, search ASINs count the minute. I’m just reading this here really quick the number of search competitor ASINs excluding their rank in the top 100. Oh, there you go. I didn’t realize. Jungle Scout and Data Dive are only showing you where somebody’s ranked in the top 100. So that’s not that promising. That’s probably why there’s hardly any keywords showing up here. That’s important, guys. I think all that matters is on page one. Amazon throws ranks all over the place. So what happens if the last time that Jungle Scout checked a product was ranked 105, 205, 300, but then the rest of the time it’s actually ranked on page one? You just missed out on a keyword.

Bradley Sutton:

Anyways, let’s go ahead and put minimum five. And now there we go, let’s hit apply and let’s see which keywords come up. This is just kind of like curiosity sake, I want to pick here 57. So there’s more keywords. That it says has 300s, but I’m looking at this. What in the world is this keyword here? What there’s like some junk keywords that are showing up here Tamago, like, look at this, this keyword, tamagoyaki pan set comma. Japanese omelet pan, non-stick with lid comma. Square. Japanese egg pan comma end keyword. Like that’s not even a keyword. What the heck is showing up here? Let me just compare. I wonder what the search volume here difference is. I had said 5-, didn’t I say 500 minimum? Oh no, I said 300 minimum. Okay, that makes sense, 300 minimum. But this is this, is not 300 minimum. Okay, so it looks like on it looks like, guys, on Jungle Scout you can’t filter under 500 because it looks like the lowest it goes is some random symbol that says under 450. So you know what? Just so we can have an apples to apples comparison, we’re going to have to put up the Helium 10 one back up to 4500. And I’m curious how.

Bradley Sutton:

First of all remember Jungle uses a denormalized search number. So like their numbers are like inflated almost three X. So this is not even an apples to apples comparison here. So let’s go, maybe, let me show you, I’ll show you an example, but we’re going to have to go maybe like 1,000 here in here. Okay, so let’s just see the 13 keywords came up in Jungle Scout. Let’s just do one that probably is the same in both. Tamago yaki pan 7 700 searches. It says, and Helium 10 shows. Just to show you the difference in search form here yeah, look at that, 3,287. So we’ve got some of the main keywords here. Let’s just compare these. Japanese omelet pan is in Jungle Scout, it’s in Helium 10. Japanese egg pan in both. Tamagoyaki pan is in both. Tamagoyaki pan made in Japan interesting, oh, that one, that one, that one is in both as well. A square pan, that’s in both. Japanese cookware Japanese cookware oh, that’s in both too. I’ll be danged. Omelet pans omelet pans Helium 10 doesn’t have. I mean, I’m sure it’s, it’s in here, probably. Let’s just see, let’s figure it out. Why is omelet pans not here? So the search volume, or maybe it’s not ranked high? Yeah, guys, I’m doing this live. I have no idea what I’m going to find here. Let’s see, does Helium 10 have the keyword omelet pan somewhere here? Let’s find out there. It is right there and there. That’s the reason why it’s not there, because Helium 10 says it has 472 searches only.

Bradley Sutton:

All right, so since we had to change the number to something weird because of uh, Jungle Scouts not showing the uh normalized search volume, but omelette pans is, is definitely there. Okay, all right. So it looks like pretty much a lot of the top keywords, the same exact keywords in both right, but again, we don’t make a listing just on 12 keywords or this whatever random set here, but now I’m just going to go ahead and complete the process of getting all of the top keywords. All right, let’s go ahead and hop back in here. What I’m going to do is I’m going to make a keyword list for, for all of these, and let me go ahead and do that. Now. Here’s my top keywords. Let’s go ahead and highlight them all. I’m going to add these to a new list, and so this Tamagoyaki Helium 10. Create new folder. Tamagoyaki Helium 10. Older Tamagoyaki Helium 10. Save, and there we go. All right, I added those. Now I also like to do what’s called opportunity keywords. This is something that I don’t think you can do completely in Jungle Scout. I know you can do it in Data Dive, but again, this doesn’t matter. Like we’re not talking, this is not the key part here. We want to see, just overall, which are the best keywords. So, opportunity keywords we just got a couple here pan for eggs and Ochi Gohan. Oh, uchi gohan. Gohan is rice or food.

Bradley Sutton:

Let’s go ahead and add those to the list. Okay, and now. This is what I like to do, if I was not in a hurry or I’m in a hurry, I just want to find hey, show me any keyword that is searched for, let’s just say, a hundred times a month, where at least one product is ranked between one and 150. All right, so that means hey, it’s, it’s in the top pages. All right, let’s go ahead and do that now. Already, I’m doing something you cannot do in Jungle Scout. All right, so it doesn’t matter, as long as Jungle Scout had the keyword, if I just bring all the keywords in. But I am not going to put 4000 keywords into my listing, I want to prioritize it. So this kind of sucks that with Jungle Scout you can’t really do that, or I can’t do this exact phrase or this exact exercise I’m doing exact phrase or this exact exercise I’m doing. So now I’ve got 976 keywords. You know, honestly, that’s way too much. So I’m going to narrow it down a little bit more. I’m going to say, hey, show me the ones with 150 search volume, where it’s ranked between 1 and 110. Let’s see. That means it’s probably on the first two and a half pages, all right. And there still might be some good keywords, even if it’s on the two and a half pages. 646 keywords. We got some Spanish keywords in here, “Sarten Pequeño”. Look at some of these ones. Small frying pan with lid. All right. Fried egg molds Interesting, interesting, all right. So I’m going to go ahead and add all 646 keywords. These are all potentially good keywords guys, or they could potentially bring a sale at some time. Otherwise, how in the world did these competitors get on the first couple of pages for them?

Bradley Sutton:

So I’m going to go ahead and export this to the list. Real quick break back in from my fast forwarding as I was looking through some of these. Remember how there was some, like you know, there’s some words in English on both Jungle Scout and Helium 10 that had to do with Korean, which you’re like. You might be like, wait a minute, this is a Japanese thing, but here is some actual Hangul, some Korean letters for it, which I don’t know what this is, but I’m just curious. I wonder if Jungle Scout had this keyword, because now I can be indexed immediately for this. If I have this in the back end of my listing, potentially. Does this keyword come in Jungle Scout? Let’s take a look. Am I able to search for a keyword? There we go, include keywords. Let’s look it up here and apply filter. No, it is not there, all right, so I guess maybe Jungle Scout doesn’t have Korean words or for whatever reason it didn’t show up.

Bradley Sutton:

So that’s a great example of a keyword that you want to have in your listing in the back end, to be indexed right away. For a Korean word that you might not be indexed unless Amazon does it later with its AI. So there’s an advantage right there. Advantage Helium 10 on the Hangul word. Let’s go back to fast forwarding as I finish adding this to my list. All right. Now another thing that I like to do is where are the sponsor? Where? Where are people doing high bids in sponsored ads? All right, so I’m gonna look here. Sponsored rank average, sponsored rank count. Let’s say hey, there’s at least three of them where this the average rank is like page one of sponsored ads, all right, so let’s go ahead and apply those filters. Let’s see if any keywords come up 51 keywords. A lot of these might be duplicates, but again Helium 10 or I’m assuming Jungle Scout would do the same We’ll take out the duplicates. But I just want to make sure I have coverage, because there might have been some keywords where they’re advertising highly but for some reason they’re just not organically ranked.

Bradley Sutton:

So let’s go ahead and add this to my list. Now, something that I know Jungle Scout and obviously Data Dive doesn’t have, and not even Amazon fully, is ironic is the actual direct link to the Amazon algorithm or the Amazon API that will tell you what are the most relevant keywords for a product per Amazon, right? So this is important because every single one of these 1, 2, 3, 4, 5, 6, 7bproducts that I have here, every single one of them has a set of keywords that Amazon thinks is really relevant. So, what I’m going to do is I’m just curious hey, what are the keywords where the Amazon recommended rank is pretty high, like between one and 50 average, that means across the board. Amazon is saying hey, you know what I need to put in one more filter here, I want to put in the Amazon recommended rank count. In other words, hey, at least like 3 of these keywords, they’re all ranking for this certain keyword in the Amazon relevancy scale. Highly right, you’re not going to get this in any other tool. All right, here’s 26 more keywords. A lot of these might have shown up in some of the organic ranks, but some of them might not. That’s why again, why Helium 10 has so many more keywords. Let’s go ahead and add this to the list.

Bradley Sutton:

All right, there we go. So now one more thing. I want to just go back to one of the top selling ones here. Let’s go to Clarence’s product. Okay, I want to know if there’s any seasonality on this product. All right. So here is one other thing that I like to do when I am looking at a new niche. I’d probably do this on more than one keyword, but I want to look at the BSR chart to see, like, right now I’m recording this in the middle of October, right, maybe this product is doing great right now, maybe it’s not, I don’t know, but what I’m curious about is go ahead and load the x-ray chrome extension here while we’re talking. What I’m curious about is, hey, is there a month where this product just like absolutely crushes it, you know? And then, if so, I’d want to take like a little time machine and see what were the keywords bringing the sales in that month. Right, because now it could be that there are some extra keywords that it was ranking highly for during that month, right? So let’s go ahead and take a look at this Fast forward, all right. Let’s look at this all-time BSR chart and, okay, it looks like in February of each year there is like the highest sales that it normally gets Interesting. So is this starting in Feb? Starting in February of each year, for whatever reason, this product, you can see, sells a little bit more. So what can I do to get some more keywords? Just to make sure that we have? We have all of them. Let’s go into Cerebro and I’m going to hit this show historical trend again. No other tool has this. You’re not going to get these keywords in Jungle Scout or in Data Dive.

Bradley Sutton:

So you’re only going to get it in Helium 10. Let’s go ahead and choose this product and let’s go ahead and take a time machine to February and look at that. You could even see that Helium 10 definitely corresponds with the sales too. Like right now you can see the total number of keywords that this one product is ranking for is 687 keywords, but in February it was 1600. So we know there’s more keywords in February. Let’s go ahead and look it up. I’m going to hit. We’re taking a time machine now. Let’s go back in time to February 2024. Remember, all of these things add up, guys. This is why there’s 4,000 keywords that are showing up in Helium 10. We have lower search volume. We’re checking all seven pages of every single keyword, not just two pages, like Jungle Scout and Data Dive are doing. We have the Amazon recommended rank. Now, this wasn’t even listed in the 4,000 keywords. This is in addition to those 4000 keywords let’s take a look at and I want to see where was this product getting sales from? What do they say? One hundred and fifty search volume or above, and let’s just say, hey, it was in the top. Let’s just say, let’s really narrow down the top page. It was on page one of the search results and let’s go ahead and throw these keywords in there too. Oh my goodness, there’s 346 of them. That’s pretty amazing. Any of these that are completely new I don’t remember if Korean kitchenware was in there, that might be a good one, but anyways, let’s go ahead and add all these keywords there.

Bradley Sutton:

All right, guys, you know you didn’t see it while we were fast forwarding, but there was at least 150 of these keywords were new. All right, that’s the power, guys, of looking historically. Don’t just look what’s going on now. These what is going on in October is not necessarily the same keywords that bring sales throughout the year. All right, if I was doing this as a real listing, I would have gone a little bit deeper. I would have just taken a historical look at every single month and maybe gone a little bit tighter and say, hey, where is this product? What do they say here? Where is it showing up on page one? Maybe? I’m like, hey, where’s it showing up on the top half of page one? All right, so now I’m just going to go ahead and finish it right now. These are the keywords I’m going to go with for building my listing. All right, for building my listing in listing builder, builder, with these keywords 800 and something. Keywords that Helium 10 found. Let’s go ahead and take a look at it in my list. Ok, guys, I have to fast forward a little bit there. I lost my. I was the wrong sub account here. Tamagoyaki Helium 10 we have 833 keywords, all right, so that’s all of the keywords that we found for this and this is what we might want to get indexed for. We might not be able to get indexed for all these, but if I was wondering how many of these, how many actual unique keywords are there here? Let’s take a look. Let’s go to Frankenstein, another tool that you’re not going to see in any other tools here. And I’m going to say, hey, how many, let’s remove the duplicates. How many individual unique keywords are there? And there are.

Bradley Sutton:

All right, guys, I had to fast forward a whole bunch there because I could not figure out how to export all of my keywords. I could only do 200 at once, and so here’s my oldest tool in Helium 10 is Frankenstein, and I forgot how to use it. But here’s 200 of those keywords, and just 200 of them. There are 171 individual words. All right, 171 individual words. All right, so that’s not too many that I would have to get indexed for in in Amazon. All right, you know, now, if I were to put you know all of the other, 400 keywords, 600 more there are going to be, you know, probably get 300 keywords to 400 at least, that I would have to be indexed. Now you might be wondering, hey, isn’t it 800 phrases? How in the world is it that few individual words? Well, take a look at this Omelet is in like 50% of these keywords, pan is in like 30% of these keywords, tamagoyaki is in like 20% of these keywords. So a lot of the same words are repeated. All right and then there’s unique ones like we see here Asahi and Japanese and non-stick, all right. So anyways, I kind of digressed here a little bit, for no reason at all. I was trying to show off one of the Helium 10’s old tools here, Frankenstein. But anyways, there’s 800 keywords that I’m going to use as my base to create the listing. But again, those 800 words which are actually way more, or 800 phrases which are actually way more words, don’t think that we’re saying, hey, you have got to put 800 phrases in your listing. I’m probably not going to. You would never be able to put 800 phrases, all right. So now those are the 800 keywords that we found from Helium 10. Now we already know that there’s not going to be that many in the other two tools. Let’s go ahead and go back to Jungle Scout and pull the keywords, all right.

Bradley Sutton:

So I downloaded it here to an excel file and now let’s go ahead and filter through some of this here. I’ll take away some of these columns that I don’t need. All right. So now this is a little bit harder to do in Excel. I’m not like an Excel whiz here. This is what I know. Data Dive does way easier to be able to sift through Jungle Scout data than just Jungle Scout on its own. But what I want to do is I’m just going to do the same thing that I did in Helium 10, which is get. Well actually, I can’t do it completely, because I said what they do in Helium 10, like the top 120 or something ranks. I don’t think that Jungle Scout even goes that far. So in this case I’m just going to look at any keyword where Jungle Scout or where any one product is ranking at all. All right, let’s just go ahead and get all of all, all of the keywords. So I’m going to just try and do a formula right here to be able to do that. So we’ll fast forward this. You guys can watch me in fast speed right now, all right. So the first thing I did was I just put a formula where I’m like, hey, forget about even trying to filter because the keywords are so few here. What are the keywords where any one of the products that we have entered is ranking at all according to Jungle Scout?

Bradley Sutton:

All right, so here are all of those keywords that have at least one product ranking. We did that same thing for Helium 10, except we narrowed it down a lot more, right? Let’s go ahead and copy all these keywords and we’ll add it to another list. Oh, we got some Chinese keywords here too. All right, that’s cool. Oh, there is a Korean keyword. Look at that, maybe. Maybe just the. The search on Jungle Scout doesn’t work for Korean, but look at that, maybe the same Korean word that we had in Helium 10 did come up. Alright, I’m going to have to go back to Frankenstein because Helium 10, if I’m exporting from somewhere else, I don’t want to have to create a CSV file, so I just have to actually add a comma for all these keywords. So let me do that really quick here in Frankenstein, and there we go 347 keywords, all right. So here is my keyword list for Jungle Scout. And now let’s do one more for those product opportunity explorer keywords we found. All right. So now we’ve got three lists of keywords. We’ve got the Jungle Scout with 347. We’ve got the Opportunity Explorer with 47 keywords. And let me go ahead and do the Helium 10 one. Let’s see how many we came up with there. Now, one thing I want to talk about too that you know, if I had more time I would have done. Remember how I showed you in the product opportunity explore how you could see approximately how many sales were in 360 days. That is a great way to prioritize keywords.

Bradley Sutton:

Now, we didn’t even do that in opportunities because there’s so few keywords. But remember, in Helium 10, I actually have the keyword sales when I am outside of the show historical trend. Let me go back to keyword. Let me go back to the regular view. But right here we have the keyword sales for all of these keywords. Now here’s the important. This is why it’s so important, and probably how I would have whittled down the keywords even more is because not all keywords, even with similar search volume, are created equal. For example, take a look at this keyword here that has 473 searches. All right, it had one keyword sale, all right. Only one keyword sale in the last week estimated. Actually, this data comes from Amazon or how we base this number off of. So it’s not just some wild number that we chose. But then look at this other keyword 436 search volume, less searches than this one, with 473, Japanese omelet pan compared to, or Japanese omelet pan nonstick compared to Japanese pan, and we can see 11 keyword sales.

Bradley Sutton:

All right, so theoretically, this is a 1000% better keyword, even though the search volume is the same. So there’s another advantage that if we had more time, I would have whittled down the keywords even more. But if you’re using Product Opportunity Explorer, you kind of would be able to do that, all right, but you’re only looking at 360 days. Helium 10 is telling you how many sales are in one week, but unfortunately, with Jungle Scout or Data Dive, you are not going to be able to see this keyword sales, and so you would have no idea that, hey, this Japanese omelet pan nonstick is going to get me 10 times as many sales as Japanese pan, even though they have near identical search volume. All right, so that’s something interesting to think about as well. Now, as you can see these keywords, at the end of the day, get different sales right. The important thing why is keyword research important? Why do we even do this? Why do we care about search flying? Why do we care about keyword sales? Why do we care where products are ranking for when we’re making our listings?

Bradley Sutton:

Well, it’s because we want to potentially be searchable for these keywords, whether we’re talking about sponsor, whether we’re talking about you know similar products, whether we’re talking about organically ranked, because there are so many different ways that somebody searching for a product can type into the search engine and be able to come up with the product. Again, some people are typing in Japanese egg roll pan. Some people are typing in tamago pan. Some people are typing in Japanese characters, some people are typing in Korean characters. There are hundreds and thousands of ways that people can type in searches in order to find a product, and that number is even going to go further. You know, once people start kind of like narrowing down their searches using AI tools like Rufus and things like that, all right, and so you want to be from day one, searchable for all of the potential ways that somebody might type in. All right, because here’s the thing Until the Amazon algorithm learns more about your product, you’re only going to be searchable for how you make your listing right, like from day one.

Bradley Sutton:

Now, after you’ve been selling for months and Amazon has a history of how people interact with it, could you get indexed for other keywords that you don’t even have in your list? Yeah, of course you can. You’ve been able to do that for years, even before AI. Right, because Amazon knows what your product is. But then you it’s a hard kind of like process to get there by chance, fingers crossed, right, unless you’ve got those keywords already in your listing. So that’s the whole reason why we do keyword research. Right, because each of these keywords, they potentially could bring you a sale If it just shows up right there at the top of the search or maybe even on page two or page three there’s. Is it reasonable to think that one out of every 100 people, or 200 people, might be one of those persons who scrolls the page 2 or 3 to look for something that really strikes their fancy and they might check your or hit your product there? Sure, it can happen. Are most people searching on page two or three? No, but again, whether you’re on page, you’re not going to be on page one, two, three or seven or anywhere, unless you are indexed for that keyword or searchable for that keyword, where you have to be kind of like, be able to have an at bat, if I’m going to use a baseball analogy, all right, you have to be in the game. I mean, you don’t always have to be on page one. That’s the goal. You want to hit a home run every time. You want to be on, hit a home run. You want to be on the page at the top of page one, but you’re not always going to be. But you at least want to be in the game. You want to have an at bat, you want to have a chance that I can be seen for a certain keyword. So that’s why keyword research is so important. Right Now, let’s just go ahead and illustrate what money you could be leaving on the table if you aren’t indexed for all the potential keywords.

Bradley Sutton:

So I’m going to try something really quick where I’m going to go back to the Excel files of these keywords. I’m going to download these from Helium 10, and download it to Excel and let me just show you the number of keywords that could be potentially missing. Sorry, guys, I didn’t realize I was not recording my screen at that time. I don’t think it was. I’ve been doing this for you guys can see. I guess did a whole bunch of time. Right there, it’s 4.36 am. I have not been cheating at all, guys. If you got a screen grabber you could prove everything. This has been a little rough episode sounding because it’s not edited. You know, like in the normal way we do things, because I really want to make sure you guys know this is genuine and this is real stuff. So apologize there, you couldn’t see my screen, but this is the same exact keywords that you know. You’ve been watching for the last two hours of filming here. But anyways, I just put all of the keywords in one, in one Excel file. Now this part I am going to edit, like you guys can see it right here. But I have to do some Googling right now because I do not know how to do VLOOKUPs and pivot tables and stuff, and I’m trying to figure out how I can actually show which keywords are missing from each one.

Bradley Sutton:

So let’s see if I can actually do some Google research and see if I can figure this out myself. I’m not sure how long it’s going to take me, but I’m still going to be recording this. But I don’t think I’m going to fast forward this part. This part will be fast forward, but like crazy, super fast here. All right, guys, I don’t know if they edited in all these fast forwards, but I just learned pivot tables in the last 25 minutes and pivot tables are or not pivot tables be lookups. This is fascinating, all right. So for those watching on YouTube, maybe you saw like 10 seconds or five seconds speeding by of me playing with numbers. But basically what I did here, guys, is I did. I have this big Excel file. I’ve got all the 800 Helium 10 keywords, I’ve got the 47 Product Opportunity Explorer keywords and I’ve got the 440, whatever two or no 347 Jungle Scout keywords. And then now I’m like comparing them to each other. What’s missing? All right, so first of all let’s just compare Opportunity Explorer probably are some of the best keywords, because there’s only 40 something of them. Let’s compare OX. You know two. Uh, let me zoom in a little bit more for those of you watching on YouTube. Let’s go zoom in 200 percent, okay. So OX versus Helium 10, so OX versus Helium 10. And what I’m going to do here is make a filter and so now I can choose here which ones are blank and actually, look, there are no blanks for Helium 10. Helium 10 got every single keyword that Opportunity Explorer would have and obviously 10 times as much to. Jungle Scout missed out of the 47 that Product Opportunity Explorer had, which are the 47 best keywords? Probably one, two, three, four square pans. It missed omelet maker flip pan. Omelet maker pan. It’s pretty. Omelet maker pan, it’s pretty important keyword. I don’t know how Jungle Scout and Data Dive missed that nonstick omelet pan. It missed too.

Bradley Sutton:

All right, now let’s just compare now Helium 10 versus Opportunity Explorer. You almost can’t even compare, right? You guys understand that 47 keywords does not even come close to the 800. Did I say 800? How many do we have from Helium 10? We’ve got 834, right. But let’s compare it to Jungle Scout. How many is missing from Jungle Scout that Helium 10 had? Let’s go ahead and choose all the ones that do not have yes, here, and let’s just take a look here, because it’s probably not just a matter of the ones that are missing. Let’s see there is a total of 549 keywords. Helium 10 found that, if you’re using Jungle Scout or Data Dive, you would have completely missed. Now, of those 549 keywords, is every single one going to bring up a hundred sales? Is every single one going to bring 10 sales? Is every single one even going to bring one sale? Well, let’s just talk about that for a second.

Bradley Sutton:

All right, the search, the monthly search volume of all the keywords you would have missed out on if you’re using Jungle Scout or Data Dive, is 237,556. All right, and as you guys can see here, there’s not like a whole bunch of gigantic keywords where there’s oh, there’s a hundred thousand search volume keyword here. That’s taken up everything. These are all fairly small search volume keywords, like I don’t even see there’s two here. That’s taking up everything. These are all fairly small search volume keywords, like I don’t even see there’s two here that are over ten thousand. All right, now let’s just. Let’s just talk about that for a second. What kind of money are you leaving on table? Let’s just pretend that of these 549 keywords I’m not even going to get half of them in my list. I I’m really trying to play devil’s advocate to give Jungle Scout and Data Dive like a little bit of a shot. So let’s just say, half of them I don’t even have in my listing. I think I can get most of these in my listing because there’s so many common keywords. Let’s just play devil’s advocate here. So let’s take this 237,000 search volume and put it in half. What’s some of the conversion rates on those keywords? Right, a lot of them, as we saw from Opportunity Explorer or looking at Helium 10 it’s about, you know, maybe like 3%. Let’s just say, all right, there are some that were eight percent. Remember that we said that one keyword that had 11 sales compared to 400 search volume. All right, but let’s just go. Let’s just say you know what? Let’s play devil’s advocate more. Let’s say 1.5%. These things have a conversion rate of all right. So 120,000 search one, remember, that’s half of what. What there is missing here times point. This is the monthly search volume. So point zero.

Bradley Sutton:

Let’s go even worse 0.015 percent. Like these. These just have the worst, the worst conversion rate in the history of mankind. All right, 1.5 percent. We are playing the worst of the devil’s advocates here. All right. That means all of those keywords in one month generate 1,800 sales. Let’s times that by 12. So like 21,000 sales. Now are we going to get all of the sales for this? Of course not. We’re not going to get all of the sales. But let’s just say 21,600. We are in the ballgame page one or two or three for those. All right, eventually, either in sponsored, like is it reasonable to say that we can try and get on page one, two or three of those either in organic or sponsored? It’s reasonable, you know, down the road, right. Now if there’s 21,600 sales, let’s just say that maybe we can get like one percent of that. I don’t know what is that. 0. That’s 216 sales, like we’re doing, literally, guys, half fit. We cut it by 50%, then we took 1% of that. Now we’re taking, we’re 1.5% of that number, now we’re at one. Like I am trying to get the lowest common denominator here. All right, 216 sales you can miss, even if I’m taking 1% of one percent. And this is like a 30 product here the worst case scenario, you are losing 6500 a month under the worst scenario, or a month a year, on this one product. If you’re using Data Dive or Jungle Scout, the numbers probably could be potentially higher. This is like really scraping the bottom of the barrel here, guys, but this illustrates the kind of money you could be leaving on the table if you are not using the right tools.

Bradley Sutton:

All right, now the number might be higher, especially, you know, choosing, know, depending on which of these keywords had more sales, of course, and, and we could go deeper into that and, and which had the. Well, I’m just doing all these calculations of the fly, just like this whole episode here. But, guys, this is the value of using Helium 10. All right, Helium 10 is a clear winner here. If you don’t have any money at all, all right, Helium 10 is a clear winner here. If you don’t have any money at all, are you going to be able to get sales? Of course you can get some of the 47 best keywords using Product Opportunity Explore 4.0. All right, we’ve got a little bit more money and you only have Jungle Scout, or you’re paying for a Data Dive, for whatever reason. Are you going to be dead in the water? No, you’ll be better than probably a lot of sellers out there who aren’t using any tool. All the Jungle Scout and Data Dive users are definitely going to be better than anybody who’s not using a tool or who’s just using Opportunity Explorer to get their keywords. Jungle Scout had 340 keywords and Product Opportunity Explorer only had 40, right. But then look at the difference between Helium 10 and Jungle Scout and Data Dive guys. It’s not even a comparison with how many good keywords and remember, we’re not. I’m not even comparing the 4,000 keywords that Helium 10 found compared to the 400 that Jungle Scout has. No cause, I’m not. I’m not going to sit here and try and BS like oh yeah, you need 4,000 keywords. You know, let’s see. No, I whittled that down as much as I could, all right.

Bradley Sutton:

So, guys, I think that the winner in this Battle Royale is clear. If you are not using Helium 10 for your keyword research, if you’re not being able to see what is the Amazon recommended rank for the keywords, if you’re not able to look past page two of sponsored results, if you’re not even able to look at past page two of organic results, if you’re not able to look back into the history of where a product has been ranking using your reverse ASIN tool, you are leaving actual money on the table, guys. All right. So I I’ll probably go deeper into this in like future blogs and different things where I actually think it’s out more. I know this has got a little bit haphazard, but that’s how it is, because whenever you know people do these kinds of things, people always say, oh, they probably just picked a scenario where it looks good for them, but they could say that about me too, so that’s why I did it this way. Completely live here, where you can see timestamps of everything to show that I wasn’t. I wasn’t making numbers up, all right. So, I hope you guys can see. The lesson is clear If you’re doing keyword research and you want to make money with your product, have a chance, you’ve got to use Helium 10. Now does this mean, just because you find the best keywords right, that you’re guaranteed to get all these more? Of course not. You got to get those keywords into your listing. You’ve got to have a good product. You got to have good images, you got to have good pricing. But obviously we’re just going to pretend that all of that is equal.

Bradley Sutton:

All right, let’s just say let’s just bypass that and say, yes, you’re going to make the best listing, which I’m definitely going to do a video on what makes the best listing and things like that. Of course you’ve got to make the best listing. Of course Amazon has got to index you for the right keywords. Of course Amazon has to think that you’re relevant for it. Of course you’ve got to get PPC impressions. But let’s just pretend all of that is going to be equal, regardless of what tool you’re going to use. The data is clear. You guys need to be using Helium 10 if you’re serious about making sure that you’re going to be searchable for all of the top keywords. So I’ll probably go deeper into this in a future episode. Maybe you’re wondering, hey, how come you’re talking so much about, you know, Jungle Scout and Data Dive and other tools like you never used to do that. Well, I just got upset after a while of all the nonsense. I hear people talking, you know, from these companies where they say untrue things like that doesn’t. I mean Helium 10 is, you know, like, not even close to like a competitor with those others completely. You know we’ve got obviously, the most you know sellers who use Helium 10 more than all the other software tools combined. But it could be true that maybe everybody’s just doing something wrong, right, and they’re just using an inaccurate tool.

Bradley Sutton:

So this isn’t about, oh, who makes more money or who has more users. Everybody knows who, everybody, everybody uses right. But I don’t like seeing people spread misinformation out there and people are doing that and it pisses me off, and so I want to set the record straight, all right. So this is this is hey, you, you are going to get the best keywords again hands down by using Helium 10. So, guys, thank you so much for joining me on this episode. It is now let’s go ahead and throw my things now 5:12 AM. When I’m finishing this I’m going to go to sleep for a couple hours and then submit this to my team to edit and uh with the fast forwards, so that you guys can see that I didn’t botch or BS any of this stuff and we’ll get this episode out there and I hope you guys enjoy it. If you have any questions, let me know in the comments. But happy keyword hunting, bye-bye. Do you want to know what keywords are driving the most sales for listings on Amazon. To do that, you need to know what highly searched for keywords the product is ranking for, maybe at the top of page one. You can actually find that out in seconds by using Helium 10’s keyword research tool, Cerebro. Now, that’s just one of the many, many functions that make this tool my favorite tool in the whole suite, and it’s the most powerful keyword research tool ever created for e-commerce sellers. For more information, go to h10.me/cerebro. Don’t forget to use the Serious Sellers Podcast discount coupon, SSP10.

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