“If you want to do your work well, you must first sharpen your tools.” Operating on Amazon is like going to war on the battlefield. You need to have a few weapons at hand.
1) Seller Ratings
The Seller Ratings website collects a lot of information about Amazon sellers in the mainstream market. Including brands, rankings and the number of reviews. You can view detailed store information by entering the specified seller name in the search box.
2) Amazon List (Best Seller List/New Product List/Wish List)
You must look at the Amazon site list, which is Amazon’s own data.
Everyone should remember that the purpose of looking at the list is not to see what others do, but to look at the sales trend of the category. In the product selection stage, the list is lagging, so everyone should be clear about the use of the list and don’t lose yourself in the list. You can click the link in the Amazon seller exclusive navigation to enter the corresponding site list.
3) ReviewMeta (Review Detection)
In the process of product selection, sellers will inevitably refer to some data of competitors, such as sales, reviews, delivery methods, etc., and for Amazon’s Listing conversion weight, customer reviews are the top priority, so everyone will carefully check the REVIEW data of competing products and refer to the content of customer positive and negative reviews. However, in this process, it is difficult to determine the authenticity of the data, especially a small number of reviews have adopted illegal review methods, resulting in distortion of customer review data. At this time, ReviewMeta comes in handy.
First, we fill in the URL link of the target Listing in the search box on the homepage of the website, and then click Run, and ReviewMeta will automatically generate a customer rating report. Of course, this rating report is formed after the algorithm is adjusted, filtering out ratings suspected of false content. For example, 33 customer reviews out of 185 ratings are all trustworthy, so the original rating status remains after the adjustment.
In addition to the data adjustment of the overall rating of the Listing, there will also be a more detailed analysis report for customers who leave reviews.
Sellers can also click on the name of the customer who left a review to enter the customer’s credibility evaluation page, where they can see the customer’s detailed review record data.
The review adjustment algorithm may have data deviations due to different target categories and products. In other words, its data is not necessarily 100% accurate, but it can be used as a relative reference element to assist in product selection.