Understanding Amazon’s A9 algorithm
If you’re relying on Google AdWords data for your keyword research, you risk building inaccurate keyword lists that are simply not relevant to the search queries of Amazon customers. At Sellics we’ve written a comprehensive guide to help our sellers master Amazon SEO, and learn to continually improve their product’s organic rankings on Amazon.
Amazon only cares about increasing purchasing likelihood, and consequently it’s A9 algorithm sorts the products displayed in search results by looking at two factors:
- Performance: A product with a strong sales history will rank higher in Amazon’s search results.
- Relevance: How well your product (via your chosen keywords) matches the search queries of the Amazon customer.
Given that most customers do not even look past pages 1-3 of search results on Amazon, it’s imperative that you are continually tracking & optimizing your keyword rankings to improve your product visibility on Amazon.
Keywords are the main driver for your product’s visibility in Amazon’s search results. Your goal is to research as many relevant keywords as possible that could potentially match the search queries of the customer. If you forget to include a relevant keyword, you risk your product not showing up at all in Amazon’s search results for that customer search query.
On Amazon, customers expect to find exactly what they’re looking for quickly – which means many customers tend to be more detailed about what they’re searching for from the start. These longer customer search queries are called “long tail keywords”, and over 70% of customer searches are actually long tail.
You can use Sonar, our free Amazon keyword research tool, which will pull keywords directly from the real customer search terms used by Amazon shoppers. Sonar’s internal algorithm only looks at Amazon data, meaning sellers minimize the risk of bidding on potentially irrelevant keywords.