DATA STUDY:

AMAZON
BEST SELLERS 

DATA STUDY:

AMAZON BEST SELLERS 

How two brands expanded their presence and moved up the rankings on the best-sellers list

 

OVERVIEW

Amazon has become a household name over the years for online shopping. With operations in over 200 countries and territories, the company employs over 1.5 million people worldwide and has roughly 350 million products for sale.

Each day Amazon calculates a list of its 100 best sellers and top 10 products in each category using its own A9 algorithm that considers several factors, including:

  • Sales volume: The number of units sold of a product over a given period of time.
  • Sales velocity: The rate at which a product is selling.
  • Sales rank: The position of a product on the Best Sellers List.
  • Category: The category in which a product is listed.
  • Price: The price of a product.
  • Reviews: The number of reviews and average rating of a product.
  • Promotions: Any promotions or discounts that are being offered on a product

This study focuses on two brands with a consistent presence on the Amazon Best Sellers list and the insights derived from our analysis. First, we will explore the rise and popularity of the Traeger brand and its line of grills and grilling accessories in the Patio, Lawn, and Garden category. The second is the continued growth of the AmazonBasics line across multiple best-selling categories.

AMAZON BEST SELLERS COLLECTION DETAILS

Since 2013, Vertical Knowledge has tracked a daily collection of Amazon Best Sellers information across the top 100 products for all first and second-level categories. This collection includes purchased products by date and product name linked to brand names, product list price, and final sale price across thousands of public and private companies.

This data can be leveraged to gain day-by-day insights into the Retail sector to help understand product segment-level sales and trends for a given company; across competitors; and for a given sub-industry. Consumer sentiment data is reflected by a 1-5 product rating scale complete with the count of ratings for each product that you can correlate with sales and pricing data as another predictor of where each product/brand is likely to trend. This data set has historically been valuable to investment managers in understanding product launches and consumer reception, and it can also provide insight into a company’s brand and financial performance through pricing and discount trends.

 

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