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Amazon PPC - Helium10 Frankenstein tool

Published on August 30, 2019

About this video

In this video, we cover the basics of Frankenstein tool made by Helium 10. Our colleague David explains why he loves the tool; how we use it to optimize our client's Amazon listings and explain our keyword research process along the way.

Visit us here https://amazoniappc.com for more actionable advice tailored specifically to your business.

#AmazoniaPPC #Helium10 #FrankensteinTutorial

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Transcript

hi everybody this is David from Amazonia PPC and today we'll be having a short tutorial on how to use Frank Stein tool Frankie Stein to movies is a really valuable and useful tool you can easily create back and search terms without hassle of using a couple of tools like I did before I had in in the past I had to use like three or four tools which were for removing duplicates making everything lowercase removing commas dots and so on but with Frankenstein the star is a bit different with Frankenstein you were able to do everything in it and in this particular tutorial I'll be showing you how to create back and search terms that you're getting from cerebral and create a good list of them and you can use them in your Amazon listing in this example we'll be doing the Jew shockwatch and you can see it right here it's a nice watch and we're gonna get some keywords for it and see if we can make something good for the backend the main point of having back in search terms is putting them on in your les thing so you can actually rank for more keywords back in search terms shouldn't be the same as those visible in the listing but if you don't have if you can't really find that many keywords that are not in the listing you can also use some from the listing like from the title and just use them the most important ones which you want to rank the best for so I already downloaded a list of keywords that are here for the g-shock watch and I've downloaded them over cerebro which is another helium 10 tool it's a really that great tool to here's the list so I've I've set a descending order of the search volume as we want those high-volume keywords first and see if we can find some some good ones I already see some some words here that are good that we could use but a lot of them are already used in the same listing so there's cassia man J shock and so on we're gonna try to pick something that it's not they're visible in the listing so we can use it for the back end and I usually do this by selecting the first one and just scrolling down and when I see something good I color it red or any color is fine it's up to you when I do find keywords that I like I just easily filter it by color and it just leaves them the good ones there that I already selected so I'm gonna I'm gonna fast forward just a bit this part but I'm gonna I'm gonna make the speed normal if there's something important I have to tell you if I remember so these ones especially the military watch that g-shock is is all tactical and military it's very durable and this is definitely a good keyword for it there's also digital which we can use because it is digital we're selecting Black Watch here because the cache you were doing is black so that's not a good thing there are a couple of variations of men men's digital watch digital watch men digital man watch you should select all of them and less Frankenstein do the thinking afterwards yeah I was just checking if it's solar-powered can the matter be refilled with the solar power but I couldn't find an info about it so I'm gonna leave this for doubt they're gonna forget and as you can see we're coming down to a thousand of monthly searches and we should really have some some at least ten or fifteen keywords so far in here we're gonna get a couple of more just to see if just in case we don't get enough for there are a lot of duplicates okay that's your bet for now if we do need some more I'm gonna come back here and grab him you can easily filter it in Excel with a color there we go there's a selection we can just copy this and put it inside Frankenstein there are a lot of options here you can select to remove the placate maintain phrases protect numbers convert to lowercase which is really good I'm gonna do that I'm gonna select it because we want all the backend search terms in lowercase it looks better it doesn't make a difference but it looks better when you recheck them afterwards or for similar reasons we do want to remove common words yeah it removes words like four and so on we do want to remove single words actually not nevermind we want to remove single letters sorry about that and the this way we're actually removing all the duplicate keywords in here because in the backend search terms you don't have to have duplicate keywords Amazon's algorithm automatically picks variations of your keywords in in different phrases and it's tries every possible combination there and you don't have to really use the same words over and over again that's why it's important to remove the placate sin that and that's why the Frankenstein is really viable too in this area so that's about this part we have some some setting here's how do we want to divorce for the back end search terms you only add spaces you want everything in a single line and everything the same you can also do add commas if you're doing the the the search service for something else or you can add comments and spaces or one word for line which is also a good good thing you can do but we're gonna stick with spaces only for the back end search terms from what I can see now we have a total of 120 characters and 18 volts which is not enough for the back end search terms we should get up to we can get up to 250 characters and we're gonna use the most of them we were aiming for for 2 and 250 but as 245 or between between 250 and 240 will work so I'm gonna get some new more keywords there and if we don't have enough keywords we're gonna have to put some words like G g-shock and some other characteristics from it that are during the listing so let's go back to getting more keywords and then we're gonna do the last part of this okay that should be it absolutely think so right now now there are a lot of keyboards that are repeating over and over and it's really a bit hard to find something that wasn't used but we're gonna try and see if there's a difference yep we're doing a bit better we've got one hundred one hundred and seventy seven and this is the part where you one might want to ask some help with the listing because we've we've pretty much went him through most of the keywords that were there in the excel file and you know you used most of them even variations like a wrongly spelled one but you don't want to leave this space empty you want to fill it up and that's what we're gonna do from the listing we're gonna talk to this and we're gonna also copy this and we're gonna see which one what can we delete here um oh this is actually a pretty good pretty good choice here and we're gonna processes see what's new and there we go we come we have to 392 keywords and we're all we're obviously gonna need to delete some and we're gonna do that in the left and left call them and we don't need this it's not that important but fall off the calendar is really important five independent alarms one time daily we're gonna delete that and bracket - we're gonna delete this - we're gonna delete this here and we're gonna see how it goes now it's three hundred thirty two hundred twenty three okay we're gonna leave it to be made in USA 200 or water-resistant we're gonna leave this and see how it works out 285 again we need to delete some and this is gonna be this an extra large because there's already size and besides it isn't that important and it's daring the listing so we don't we have to rank for it it's not that important let's see what do we have here Navy SEAL watch cast your watch men's watch tactical watches watch black let's also we move this okay there we go 247 so this is good this should be it for the listing now about the last section here we can replace vorse with another board and I'm gonna show you right here how it's we can replace gas you're with Castiel with two O's and in the first here you're gonna see how it changes it's it's it's a useful thing if you're doing if you're if you have a new product on Amazon and either you're not ranking form for keywords yet but there's a competitor who has similar product like yours or maybe the same but just different brands you could easily copy keywords from the competitors listing and just replace the competitors name with your brand name so that's a really useful thing to use here you could you can also remove special characters right here we have a protected character and that's a dash and an apostrophe and we have a dash here for G shock and for the model and you can put put and it pretty much anything in the protector characters box like anything you don't want to be removed and that you want to rank for there's also an option to remove words starting with a prep prefix and phrases containing a particular keyword also you can add a phrase to the start of the end of the keywords so if you're picking if you picked up some keyboards and they look fine you can just put you can add you can add at the end at the end of every word a particular word here so it is gonna be easier to understand if I if I put it to one word per line and it just adds tests after everything after every keyword here on the list we're gonna go back to only spaces and this is pretty much what what the backend search term should be about and this is the Frankenstein tune it's a really easy to use tool you can you can easily copy with a click you don't have to select everything you can save it you can click scribbles and it's it takes you to scribbles where you can use their use their words that you may hear and set them to bullet points or search terms and do pretty much everything you want about your your listing you can create everything here and as I was saying really good tool really easy to use and it saves a ton of time like I like I was saying before I use a couple of tools on different websites but helium 10 has really thought about this good tool and it really really saves time since I since I started using Frankenstein for the backend search terms the listings have started getting better better traction better organic searches and sales too so this is definitely a good thing and you should never ever leave the backend search terms box empty in your listing because dad's there is an opportunity to get more sales and get more people interested in seeing and getting better ranking overall on your Amazon listing in your product you don't want to leave that all empty or badly aah this should be it about the tutorial I hope I was helpful I hope you understood something if you do have any questions you can just post a comment on this YouTube video and I'll be glad to help you out and answer your question thank you thank you for watching this was david from a sonia PPC and see you next time

Frequently asked questions

Q: What does Helium 10 Frankenstein do and why is it useful for Amazon sellers?

A: Frankenstein is a keyword processing tool that takes a large, messy list of keywords and cleans it up automatically: it removes duplicate words, strips out filler words and single letters, converts everything to lowercase, and formats the output for direct use in your backend search terms field. Before tools like this, sellers had to run keyword lists through several separate tools to achieve the same result. Frankenstein handles everything in one place, reducing a process that could take hours down to a few minutes.

Q: How does Frankenstein fit into the broader keyword research workflow with other Helium 10 tools?

A: The typical workflow starts with Cerebro, which is Helium 10's reverse ASIN lookup tool, to pull the keywords a product or competitor is already ranking for. That raw list gets exported to Excel for a first pass of manual review and color-coding to flag good candidates. The shortlisted keywords are then pasted into Frankenstein for cleaning and deduplication. The processed output is ready to paste directly into your listing's backend search terms field, or into Scribbles if you also want to optimize your visible listing copy at the same time.

Q: Why does Frankenstein remove duplicate words rather than duplicate phrases, and does that matter?

A: Amazon's algorithm automatically generates every possible combination of the individual words in your backend field, so you only need each word to appear once. If you include "men's digital watch" and "digital watch men," the word "digital" and "watch" are already counted twice, which wastes your limited character space without adding any ranking benefit. Frankenstein removes these repeated individual words so your 250-character field is filled with as many unique, relevant terms as possible.

Q: Should I only use keywords that are not already in my visible listing, or can I repeat them in the backend?

A: Ideally, the backend should contain keywords that do not already appear in your title, bullet points, or description, since Amazon indexes a word the moment it appears anywhere in your listing. That said, if you have exhausted all new keyword options and still have character space left, adding your most important ranking terms again is better than leaving the field partially empty. The priority is always to fill the space with something relevant: a half-used backend is a missed ranking opportunity.

Q: What is the find-and-replace feature in Frankenstein useful for?

A: The find-and-replace function is particularly helpful when you are using a competitor's keyword list as a starting point for a new product launch. You can pull their keywords through Cerebro, paste the list into Frankenstein, and then replace their brand name with your own brand name throughout the entire list in one step. This saves significant manual editing time and ensures no competitor brand terms accidentally end up in your backend, which would violate Amazon's terms of service.

Q: What settings should I enable in Frankenstein when preparing backend search terms?

A: For backend search terms, the recommended settings are: remove duplicates, remove common words such as filler words like "for" or "and," remove single letters, convert to lowercase, and set the output format to space-separated words on a single line. Lowercase formatting does not affect ranking but makes the field much easier to review and edit afterward. Avoiding punctuation such as commas and hyphens is also important, since those characters consume character space without contributing any SEO value.