Reebok Leads Fashion & Lifestyle Vertical in Icecat Brand Rank Monitor H1-2023

The next vertical that we will take a look at as a part of the H1-2023 Icecat Brand Rank Monitor performance overview is Fashion & Lifestyle. Below you can see the top 10 brands in this category with the most product data sheet downloads.

Overall, the fashion vertical experienced rose from approximately 107 million downloads in H1-2022 to 201 million in H1-2023. This means a year-on-year growth of 88%. Similarly, each brand that reached the top 10 in this half-year recorded growth compared to last year. This is also clearly visible in the illustration below, where dark blue represents the first half of this year, and light blue represents the first half of 2022.

We can see a strong representation of sportswear brands in the top 10, with Reebok, Adidas, and Nike occupying the first three ranks. Additionally, Reebok stands out with an impressive record of 9.5 million product data sheet downloads, reflecting the widespread interest in their offerings. Furthermore, Adidas witnessed a notable increase of 67% in datasheet downloads, while Nike recorded a staggering surge of 157% compared to H1 2022. These remarkable statistics further emphasize these sports brands’ commanding presence and popularity, solidifying their position as market leaders and trendsetters in the industry.

Moreover, the top 10 list features other prominent brands like ASICS, Under Armour, Grolls, Lacoste, ONLY, Diadora, and PUMA, each showcasing significant growth in their own right.

Other KPIs on Brand Rank Page

The Brand Rank page offers additional insightful key performance indicators (KPIs) to provide a comprehensive overview of brand performance. One of these valuable metrics is brand analytics per country, allowing brand representatives to gain insights into their brand’s performance at a local level. As the internet implies globalization, Icecat acknowledges that not all views or downloads can be attributed to a specific country. Due to the international nature of e-commerce users and anonymous browsing by individual data consumers, complete localization of data is not always possible.

In addition, Icecat publishes the Brand Average Review Score, which considers the total number of reviews contributing to the score calculation. This transparent approach ensures that users have access to up-to-date statistics. Furthermore, this valuable statistic is also available for Testseek XML API users by default.

Finally, the data health score is prominently displayed, offering a comprehensive assessment of a brand’s data completeness. The brand data health completeness score represents the average completeness scores of all product data sheets within a brand’s portfolio, encompassing main products, supplies, and spare parts. Brand editors can easily monitor and track the changing color indicators of completeness to ensure data quality.

These additional KPIs on the Brand Rank page enable brand representatives to understand their brand’s performance better, enhance transparency, and ensure data integrity.

Irina Popa