The following are the 9 data that may be referred to:

Sales volume: The sales volume of a product is one of the important indicators for evaluating its popularity and market demand.

Number of reviews and ratings: Customers' reviews and ratings of products reflect the quality of the product and user experience.

Return rate: A high return rate may mean that the product is of poor quality or does not meet customer expectations.

Product page views: The number of views of a product page can reflect the user's interest in the product.

Product page conversion rate: The product page conversion rate refers to the proportion of people who actually purchase the product after visiting the product page, reflecting the product's attractiveness and willingness to buy.

Price competitiveness: Whether the product's price is competitive compared to competitors is also an important factor.

Inventory: The inventory level of a product affects its supply capacity and delivery speed, thereby affecting user purchasing decisions.

Advertising investment: Amazon's advertising investment may increase product exposure and sales.

Customer feedback and complaints: Amazon may consider customer feedback and complaints to understand product problems and room for improvement.

This data may be part of Amazon's N9 algorithm reference, but the specific weights and algorithm details are only known to Amazon.