Skip to content

A fundamental step in The Marketplace Index™ was the curation of 30+ distinct categories on Amazon to evaluate across the four markets of the US, UK, Mexico, and Australia. Our category selection process utilized sales data from tools like JungleScout Cobalt 2.0, Helium10, and Keepa, combined with our comprehensive global research on consumer shopping trends. This approach ensured that our analysis captured the most relevant and high-performing categories across all these Amazon markets.

In selecting the brands to include in our analysis, we tailored our approach for each market. For the US and UK, we revisited leading brands from last year’s analysis and included new emerging brands to track shifts in performance and competitive dynamics. In contrast, for Mexico and Australia, we focused exclusively on the top 15 brands in each category based on their 2024 sales performance.

To ensure thorough evaluation, each brand was analyzed at the ASIN level. Given the extensive portfolios of some brands, with over a thousand ASINs, reviewing each individually would have been resource-intensive. Instead, we analyzed a representative sample of 25 ASINs per brand, while brands with fewer than 25 ASINs were evaluated based on all their available listings.

In total, we assessed over 45,000 ASINs and more than 1,800 brands across the top categories on Amazon in the US, UK, Mexico, and Australia.

 

The collection and processing of data for all brands took place in June 2024. This process involved the use of industry-renowned tools, advanced scraping technology, and meticulous human vetting.

To ensure the highest accuracy, we implemented rigorous quality checks at every stage of the process. For metrics such as ad visibility, which can fluctuate daily and be influenced by factors like budget or competitive pressure, we conducted multiple checks across several days to validate the results. 

 

The Marketplace Index™ was established with the goal of creating a thorough and objective measurement of brand performance across different success areas on Amazon. To achieve this, we developed a metrics framework centered on four key components: Retail, Content, Customer, and Media. Within each of these assessment groups, we carefully identified specific criteria that could be measured and scored in an objective manner.  

 

(Retail-related criteria constitute 34% of the overall score)

Retail specifically focuses on the foundational aspects of brand performance on Amazon, including product availability, inventory management, and fulfillment options. Key metrics observed include the Out-of-Stock (OOS) Rate, Prime Eligibility, and Amazon Badges.

          

(Content-related criteria constitute 34% of the overall score)

Content covers the quality and presence of elements within product detail pages, such as product titles, descriptions, images, videos, and A+ content, among many others. Brands strive to optimize these components to enhance discoverability and effectively communicate product benefits, with the goal of ultimately driving conversions.

In scoring all the metrics under content, parameters were based on industry-wide best practices recommended by Amazon and supported by extensive research.

       

(Customer-related criteria constitute 15% of the overall score)

Customer metrics center on understanding and improving the customer experience with brands on Amazon. This involves insights into customer feedback on product quality and overall satisfaction with their purchases from a brand.

       

(Media-related criteria constitute 17% of the overall score)

Media concerns the strategic use of sponsored ads by brands on Amazon to increase visibility and drive sales. Metrics under media were measured by searching for brand and category-related keywords, then tracking whether Sponsored Brands and Sponsored Products appeared in these searches.

Sponsored ads were meticulously tracked multiple times on various days and across different time zones, specifically within the active market hours of 9AM to 6PM. To ensure comprehensive and accurate capture of a brand's media performance, we conducted these assessments in incognito mode. This approach mitigated the potential for data gaps and reduced the influence of personalized search history on the results.