With Amazon SEO in 2020, you need to consider the one thing standing between your private label FBA product and a potential customer – Amazon’s very own algorithm “A9”. If you are trying to find out how to rank your product on Amazon then you need to be aware of the ranking factors that make up the A9 algorithm.
When a customer enters a search term on Amazon the A9 algorithm kicks in to almost instantly return a list of products for the customer to choose from. This list of products is heavily optimised to produce the highest chance of generating a sale.
Amazon uses this algorithm in two ways…
1) It looks at the relevancy of the products to ensure only products relevant to the original search term are shown to the customer.
2) It uses the ranking factors below (plus more) to sort these filter products into an order that is most likely to lead to a sale.
The A9 algorithm takes into account a huge amount of data and in this video, I am going to discuss some of the factors that I believe are most important. By being aware of how to rank you can optimise your listing to get the best possible organic ranks on Amazon.
The factors I am going to discuss all have the potential to impact these key performance indicators which are extremely important in determining the organic rank of your product.
• Relevancy
• Click Through Rate (CTR)
• Conversion Rate (CR)
• Bounce Rate / Exit Rate
The most important thing to remember with A9 is that its primary goal is to generate a sale. The reason for this is Amazon makes more money if a sale takes place. With that in mind here are the most important Amazon ranking factors:
1) Sales History / Sales Velocity / Best Seller Rank (BSR)
2) Title, Bullets, Description and Backend Keywords
3) Photography
4) Price
5) Reviews
6) External Traffic
7) Availability
8) Order Defect/Return Rate
9) A+ Content
10) Answered Questions
11) Fulfilment Method
Customers are just one variable in a huge algorithm, however, the way they interact with your listing is probably the most important information Amazon collects. This interaction data is how Amazon compares products and decides which products to show to potential customers.
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