The columns for estimated sales and revenue add more value to your research. The figure for estimated sales is based on the Amazon Best Sellers Rank and Unicorn Smasher’s own collection of historical sales data. Estimated revenue is calculated from a range of Amazon data relating to price and is then multiplied by the estimated sales figure. My advice, as ever with estimates, is to treat these figures as a guide only.
At the bottom of the table, highlighted in gray, are the averages for each field, the amount of products the search returned and the most common category that products were listed in.
If you want to view this information again later, you can save it to your dashboard. The dashboard correlates all of your saved searches and also lets you export them via as a CSV file or a shareable image.
The shareable image option is a nice touch, as it allows you to highlight individual products. This way, when you need the data, you don’t to trawl through all of your search results, you can simply check the image. You could even take the highlighted products and do an Amazon search, using Unicorn Smasher to generate fresh, and more specific, data.
There are two things to be careful of with Unicorn Smasher search results. The results only include sellers offering new products, but data on both new and used products is available in the dashboard. So to access this data, you first have to save a search to the dashboard.
The second is sponsored products. Unicorn Smasher say they will be clearly labeled but I have so far not experienced this. So if a product is repeated in the Unicorn Smasher results, it doesn’t mean there are two versions, it means that both the sponsored and organic variations appear in the search results.
More about Unicorn Smasher or check out other Amazon product analysis tools.
Keyword research: Sonar
We now move into free Amazon keyword research tools, starting with Sonar. Developed by Sellics, the tool allows users to search a database of over 74 million keywords. By using Sonar, sellers can either improve how they rank organically for certain keywords or optimize Pay Per Click (PPC) advertising campaigns.
There are three different keyword searches that you can do using Sonar, across five global marketplaces (USA, UK, France, Italy, Spain and Germany). The first is a standard keyword search, where you enter a keyword and receive suggestions that combine your keyword with popular search terms. For instance, if my keyword was “golf balls”, the suggestions would include “used golf balls”, “callaway golf balls” and “practice golf balls”.
The second option, an extended search, builds on the keyword search but also adds synonyms and related terms. So with my keyword still as “golf balls”, I get suggestions I may not necessarily have thought of, like “golf accessories” and “refurbished golf balls”.
The final option is a reverse ASIN search. For this keyword search, you simply enter an ASIN and it will tell you the keywords that it ranks for. This means that you can see what your competitors are doing, and even copy the keywords that have high search volume scores.
When you do any of these searches, there there is an option to “exclude permutations”, which is set to “yes” by default. This means that your search won’t return results that include the same words, just in a different order. So for instance if the search found “yellow golf ball” and “golf ball yellow” it would only include the one with the higher search volume.
In theory you would want to use all three of these searches, in order to undertake thorough keyword research. You could start with a reverse ASIN search and list the keyword suggestions which receive the highest estimated search volume (those with red and orange bars). You can then take these and put them through an extended search, as finding synonyms increases your pool of potential keywords.
The final step is to put the ones you think are the most important through a keyword search, to generate as many relevant combinations with high search traffic as possible. These keyword suggestions can then be used within your product listing, in a PPC campaign, or in both.
Regardless of which of these searches you conduct, the results page is presented in the same way. You will see a list of keywords on the left-hand side, accompanied by a series of colored bars, that indicate how much search volume each term receives. On the right is a list of the words that appear most frequently in the keyword suggestions.
Below this you find the relevant product section, which displays products, currently listed on Amazon, that match your keyword. By clicking on a product, you can see the exact keywords that the product currently ranks for.
Sonar does not display the complete search results online. To access the full list of keywords you have to download the CSV file by clicking “request download”. The CSV file contains all your keywords, accompanied by a search volume score from one to five (with five being the highest).
Sonar also offers a chrome extension, which costs $9.99 per month. The extension allows users to go to any product detail page on Amazon and see the keywords that the product is ranking for.
More about Sonar or check out other Amazon keyword research tools.
Keyword research: Scientific Seller
The final tool in this article is another free Amazon keyword research tool called Scientific Seller. The tool is perhaps unique among Amazon keyword tools, as it boasts about its
lack of speed.
But you don’t have to wait for hours to get keyword results, the suggestions are available immediately. Scientific Seller will simply keep adding suggestions until you press the pause button.
So, how do you search for keywords using Scientific Seller? You start by entering one or two keywords into the search box and selecting which Amazon marketplace you want to generate keyword data for. The free plan will only allow users to generate keyword suggestions for Amazon.com.
Then the fun starts! You’re taken through to the results page, which is split into two main columns: “Stuff Words” and “Amazon Buyer Keywords”.
Stuff Words essentially act as keywords and are accompanied, on the left-hand side, by a number which indicates how many search suggestions they feature in. If you then click that Stuff Word (for instance “golf” in the image below) you get a list of these search suggestions, which they call Amazon Buyer Keywords.
The suggestions do not have search volume scores and, whilst the figure indicating how often a Stuff Word has appeared in an Amazon Buyer Keyword does give an indication, use it as a guide only. Perhaps take a few of the Stuff Word suggestions and run Amazon PPC campaigns, to generate your own volume data.
To see the full results you need to sign up for a free account with Scientific Seller. This allows users to download results in a CSV file and also save searches, to allow them to run for a longer period.
Something to consider with Scientific Seller is that you can only conduct five searches per day. This might not seem much, but it is still 35 searches every week. This is not bad, considering you’re unlikely to be optimizing all that many PPC campaigns or altering all that many listings at the same time. You also get a vast amount of keywords and suggestions per search, so I think the benefits of the tool outweigh that limitation.
If you need more searches, the “Seller” plan offers unlimited searches for $19.99 per month. There is also a “Power Seller” plan for $29.99 which offers unlimited searches across global Amazon marketplaces.
It is worth noting a similar free keyword research tool simply called Keyword Tool. On its unlimited free plan, the tool generates a good number of keywords but doesn’t include search volume data. To get search volume data you need a Pro Basic plan which costs $68 a month.
More about Scientific Seller or check out other Amazon keyword research tools.
From my research, I have found that there are only a few great free Amazon seller tools out there:
Besides those, the free price tracking tools Keepa and CamelCamelCamel can also be useful. It should be noted though, that both of those are designed for buyers and lack some of the more sophisticated seller features.