One, keyword is only a module of the seller wizard, and there are product selection, market selection, product monitoring

and the magic word only keywords.

Second, Magic Word is actually more expensive than Seller Genie because it supports one region (US, Europe) for $79/month.

Three, I have verified that the accuracy of Seller's Wizard is higher than that of Magic Words, which can be verified in this way:

The accuracy, completeness, and timeliness of the keywords are the three basic indexes for evaluating a keyword tool - the data part.

First of all, the evaluation method of keyword accuracy.

1, against the Amazon ARA data

Amazon ARA data (BrandAnalytics data) is a big piece of data that Amazon makes public for free to brand sellers and VC sellers.

It started out as a paid open premium version for VC sellers in 2018, and was made free and open to brand sellers in batches at the end of 2018 (until now, not all brand sellers had access).

Because the Seller Genie is monthly data for keywords in ALLDepartments (unlimited categories), after opening Amazon BrandAnalytics, select:

Departments:?Amazon.com

Reporting Scope: monthly

Then Find two terms with similar "search frequency rankings", e.g., search frequency rankings around 100,000:

tvlightstrip

candlecontainers

Below is a screenshot of the ARA data (taken from Amazon US November 2019 data), as well as a screenshot of their keyword search volume in Seller Genie for November

2. Against the intrinsic attributes of the keywords

For example, the iPhoneX had its launch event on September 13, 2017, and went on sale on November 3, 2017, so the iphonexcase would have been starting from that point on.

The huaweiP30pro phone was launched at the end of March 2019 in the US.

The chart below shows the historical trend of those two keywords on Seller Genie.

3, refer to GoogleTrends

This method is not quite accurate, because Google is information search, while Amazon is product search.

For commodities with longer purchase decisions, such as TVs and refrigerators, users often learn about the commodity information in Google before considering Amazon for purchase.

And certain goods are purchased directly, may be closer to the two historical trends, such as: christmastree.

Hint: Google?Trends is weekly data, the choice is: Google shopping search.

The above three methods, and does not assess the accuracy of the keyword search volume, are the keyword search volume as a search index.

So, how to assess the accuracy of the absolute value of keyword search volume?

Because the seller elf keywords before June 2019 (including June), are Amazon internal real data, after June 2019 is based on big data prediction, but the prediction accuracy is about 90% overall.

It's possible to compare the data before and after these two points in time, such as the kind of traditionally non-seasonal products like garlic?press (garlic press).

Special note: Amazon's top 200 hottest keyword searches on each site, the prediction error is large (there may be up and down 30% error), please refer to with caution.

Of course, if you have channels to get the Amazon internal keyword big data, the comparison is the most reliable.