Show notes
Join Bradley Sutton in this episode of the Serious Sellers Podcast as we explore the vital importance of search volume metrics for Amazon sellers. We'll reveal why accurate search volume data is crucial for making informed decisions on listing optimization, PPC campaigns, and more. We'll discuss how to gauge demand in a niche and prioritize keywords effectively, while also addressing the limitations of Amazon's own search volume metrics. Listen in as Bradley addresses the misinformation circulating in the industry, particularly a misleading LinkedIn post comparing search volumes from Helium 10, Data Dive, and Jungle Scout. The episode highlights the flawed methodologies used in such comparisons and the significant differences between normalized and denormalized search volumes. Bradley clarifies the historical changes Amazon made to its search volume data and emphasizes the importance of fact-checking and accurate representation in tool comparisons. Lastly, we'll highlight the importance of maintaining civility in discussions about Amazon tools, particularly when it comes to the accuracy of search volume data. After conducting comparison tests, where we matched Helium 10's data against Amazon's only normalized search data, Brand Analytics, Helium 10 achieved an impressive 93.5% accuracy rate. In comparison, Jungle Scout scored 41.9% accuracy when evaluated against Search Query Performance, which uses a denormalized search metric. It's crucial that we provide our audience with reliable information. We are committed to addressing misleading information in future episodes, ensuring that our listeners receive the most insightful and accurate information. Thank you for your support, and stay tuned for more in-depth analysis. In episode 590 of the Serious Sellers Podcast, Bradley talks about: 01:52 - Accurate Amazon Search Volume Metric Importance 06:30 - Keyword Sales Is The Best Metric 07:11 - Addressing Misleading Information 12:19 - Debunking Jungle Scout’s Blog On Keyword Accuracy Analysis 17:30 - Search Frequency Rank And Why It’s Important 20:27 - Normalized vs. Denormalized Searches 20:58 - The History Of Search Volume In Amazon 21:22 - Understanding Normalized and Denormalized Searches 25:31 - Stop Comparing Apples to Oranges 26:20 - Let’s Do A Real Test 27:42 - How Accurate Is Helium 10’s Search Volume? 29:18 - Jungle Scout and Data Dive vs Search Query Performance Data 32:20 - Confusion Over Jungle Scout Search Volume History 35:45 - Bradley’s Final Message ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On YouTube: youtube.com/@Helium10/videos Transcript Bradley Sutton: Search volume is one of the most important metrics for Amazon sellers to help make decisions like Listing, Optimization, PPC and more. Now, who has the most accurate search volume out there Jungle Scout and Data Dive or Helium 10? Well, spoiler alert in today's case. Today I'm going to show you that Helium 10 wins with a 93.5% accuracy, with Jungle Scout coming in second at 41.9%. How cool is that? Pretty cool. I think. 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. Bradley Sutton: Hello everybody and welcome to another episode of the Serious Sellers Podcast by Helium 10. I am your host, Bradley Sutton, and this is the show. That's a completely BS-free, unscripted and unrehearsed, organic conversation about serious strategies for serious sellers of any level in the e-commerce world. And today, guys, we are going to have a special episode where I'm going deep. I spent a couple of nights without sleep working on this because things got me real riled up on this. All right, this is an important topic to me, and there's just so much misinformation out there that I was like I got to set the record straight. Bradley Sutton: Now the question is who has the most accurate search one? Well, of course, the first answer would be Amazon itself has the most accurate, because they're the ones who are providing information. Now, sometimes, though, it's not always the most useful though, like, for example hey, I'm trying to do research into a niche that I'm not selling in. Yet you're a little bit limited with being able to see search volume in Amazon. Search Query Performance for an existing listing. Great, all right. Uh, that shows you denormalized numbers. We're going to talk about what that means a little bit later. But if you're looking at, hey, well, the keywords that I'm getting traction for already, what is my search volume? There's nothing better out of a great apples to apples comparison as that. Now, the drawback there is you can only see what you're already ranking for you can't really like, put in your competitors and see their search volume. But again, obviously this is Amazon's platform. They've got the most accurate search volume. I'm sure they have multiple search volume metrics, some of which Amazon sellers can get at. Bradley Sutton: But let's just talk about this. Take a step back. Why is search volume important? Why do Amazon sellers rely on this metric so much? Well, there's a lot of different reasons. Maybe you're just looking for demand in a certain niche, for example. Hey, I'm looking into selling in this category. I don't see many products here with sales, so I can't really estimate demand because there's not enough sales. Maybe it's something newer, but there's a lot of search volume, right, because you could have a lot of search volume for something, but no sales yet because there's no competitors yet. All right, so that's something exciting. That's where search volume could be important. What about you've already decided to make a product right? The number one reason that we need search volume is prioritization. What do I mean by that? Let's say I've identified 200 equally relevant keywords. Obviously, all keywords aren't equally relevant. Let's just play devil's advocate and say we've got 200 keywords. That we've done in all of our keyword research and I need to put them in my listing. Bradley Sutton: Now, can you put 200 unique phrases in phrase form in your listing to send those relevancy signals to Amazon, to let Amazon know hey, this is my product. You know, you always want to put your most important keywords in phrase form in your listing. No, you don't have room for 200 separate phrases. You maybe have room for 15, 20, 25. Well, how do you prioritize? Which ones you're going to put in phrase form, which ones you're going to concentrate on? Right, if all things were equal, the one thing that is different is search volume, right? Hey, my most search ones of these equally relevant keywords. That's what I'm putting in phrase form. The most search ones of the most relevant. That's what's going in my title, right? Similar with you. Know, when you're deciding what you're going to do for PPC, hey, am I going to try to equally target all 200 words? No, I might try and like target 20 words at first, 30 words at first. Again, relevancy is the most important. But then the next metric is search volume. All right, you know, I'm not going to try and put a whole bunch of 1 million search volume keywords in one campaign and then another campaign with an equal number of keywords that have 100 search volume. That just wouldn't make sense, right? So, I'm sure all of you would agree with me that a search volume is something that is important. Helps us in many different ways as Amazon sellers. Bradley Sutton: Now here's the interesting thing. It's not always the number itself as the most important. When you think about search volume for prioritization, it's really the order in which they're in, right? That's one of the factors, not just the number itself, like, for example, um, you look at google trends, uh, google trends is not search volume, right? People have been using google trends for years and it's a scale of one to 100. Helps you prioritize, right? Brand Analytics, which you guys know I love. You know there's no search volume number in Brand Analytics. That's the data point that amazon gives and has been giving for like what, four or five years now. There's no search volume in there. It's just giving you an order. It gives you search frequency rank. Bradley Sutton: You're totally able to prioritize keywords not based on a search volume number. Like, if all you had was Brand Analytics and zero search volume number, guess what You'd be able to do almost everything you do right now, right? Even if there was no Helium 10, no Jungle Scout, no, anything. You just had Brand Analytics, no search volume numbers at all. That's enough information to prioritize. Now you might have to make your own little formulas or something like that to try and see hey, I only want the search frequency rank from, from, you know, 500,000 and up, or 500,000 below, I should say, you know. Or a hundred thousand and below, you know. Of course, you know you might have to do something, but still, you could get around, uh, get along without the actual search volume number. So, it's not necessarily the search volume number that's the most important. Again, it is which ones are searched more in comparison with whatever other keywords you have, right? Bradley Sutton: Now, of course, the best way to prioritize even more than just search volume itself or search order, is keyword sales, right? Not all keywords are created equal, right? You could have a 500,000-search volume keyword that generates, you know, the products on the page generate a hundred sales only because there's low, low buyer intent. You could have another keyword that's 500,000-search volume and it could generate a thousand sales because there's a lot more buyer intent. So actually, the best metric, of course, to prioritize if you're talking about, hey, what's going to potentially bring me the most sales is keyword sales. Bradley Sutton: Now, are you able to see estimated keyword sales by keyword? Yeah, Helium 10 can help you with that. Jungle Scout doesn't have that. I would assume that Data Dive doesn't. I have access to a Jungle Scout account. I don't have access to a Jungle Scout account. I don't have access to data. I can only monitor the biggest competitors out there. So, Jungle Scout, the last time I checked, no keyword sales. I would assume data doesn't. But if I'm mistaken, I apologize. Bradley Sutton: Now, why am I even doing this episode? How did this drama all get started and why am I so worked up? Now, before I even get into this, let me just give a kind of disclaimer here. I'm pretty passionate about this subject. I might get a little worked up in this episode. I hope nobody takes anything personal. I'm even going to blur names over here. People can probably figure out by looking at posts and stuff where the party's involved. But again, I'm not trying to call somebody in particular out. So, I hope this doesn't come off as oh, I'm trying to like fight somebody in the backyard or something like that. All right, I just really get worked up about this kind of topic and when people are throwing Helium 10 under the bus, or when people are misleading others, intentionally or not, who are you know? Known figures like it just bothers me, all right. So again, I'm not going to try and throw any name, drop here personal names. I apologize if anybody ahead of time, if anybody gets offended. I'm just stating the facts. All right, just the facts, ma'am. All right. Bradley Sutton: Now, how did this all get started? It all got started with this LinkedIn post. Uh, that's somebody. I have no idea who this person is, I'm not connected to them, but somebody I think they tagged me. Uh, people tag me all the time on LinkedIn. I'm not that great on LinkedIn. I don't do the whole, you know, interaction with other people's posts, like I'm supposed to. But anyway, somehow this post did get on my radar and I have nothing against this guy who made this post. He, he's not an influencer in this space where I could say, oh, he should definitely know better, whatever. But anyways, here is how this post looks like on LinkedIn. Bradley Sutton: He was like hey, Helium 10 versus Jungle Scout versus Search Query Performance, comparison of search form. So, when I saw it, I barely skimmed it, because I get so many of these tags every day. I don't interact with hardly any of them, but he was like hey, why does helium 10 display three to four times lower search volume compare to Jungle Scout and Search Query Performance? Bradley, what are your thoughts? Blah, blah, blah. I use 80 keywords to compile the data, et cetera, et cetera, et cetera. Now, at the time I didn't really even look very closely at this, because I think I saw this graph that he gave and it didn't even show the keywords or anything. I'm like okay, it is what it is. This is just one of those things that I get tagged like on a million times. Bradley Sutton: But then what happened later is at the top of my feed, somebody who I am connected to and again is at the top of my feed. Somebody who I am connected to and again who I think is a very, one of the most respectable, uh, respected, people in the space, put out this message where he reposted it and was like hey, this, this dude did an analysis where he did 80 keywords that analyze with Data Dive and Jungle Scout compared to Helium 10. And he was questioning which one is most accurate and I told him to check Search Query Performance. All right, so there's strike one. I'm like why would you do that? What does Helium 10 have to do with Search Query Performance? All right, we're going to talk about that. Why? Why, this is such like a no brainer. Like why in the world is this person doing that? But let me keep going here. He says oh, after doing this, he found that Data Dive was within 5% accuracy for this keyword and Helium 10 had a deviation of 70. All right, this data is crucial. Bradley Sutton: So now, all of a sudden, I'm starting to get pissed. I'm like this this is ridiculous. Helium 10 has nothing to do with Search Query Performance. Uh, you know whether Data Dive or Jungle Scout is. You know, we'll talk about that in a little bit. But like, why are you even bringing Helium 10 into this conversation? It's ridiculous that this other guy had mistakenly compared the two, thinking it was the same. But again, he doesn't work for a SaaS company. He doesn't know. You know the ins and outs of he's not monitoring. You know other companies and knows what they base their search volume. But I wouldn’t expect this individual to have no. And I even, when this like, I think you probably want to delete this post, you know, couple of times. I said, I was like, I don’t think this is…
Full show notes at the publisher 
Our TOPPODCAST Picks 
Stay Connected
