Web Scraping Gucci: Decoding Luxury Fashion Trends and Pricing Strategies in Women's Clothing
Datahut Blog
by Aarathi J
1w ago
Gucci, the well known clothing brand known for producing high end clothing goods. The brand occupies a unique position in the fashion ..read more
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Web Scraping ASOS Data: Insights into Pricing, Promotions, and Product Diversity
Datahut Blog
by Aarathi J
2w ago
This blog is for e-commerce professionals, data analysts, digital marketers, and anybody looking to obtain a better grasp of the online ..read more
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Introduction to Web Scraping with Python: A Comprehensive Guide
Datahut Blog
by tony56024
1M ago
What is Web Scraping? Web scraping  is like having a super-efficient assistant that automatically pulls data from websites for you. This ..read more
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Discover the Hidden Value in Amazon Data: A Comprehensive Guide
Datahut Blog
by Ashmi Subair
1M ago
Amazon, the leader in e-commerce, has a vast amount of product data, review data and seller data. Used wisely, this data can offer ..read more
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John Lewis's Pricing Strategy: A Deep Dive into Women's Clothing
Datahut Blog
by Aarathi J
1M ago
The John Lewis women's clothing dataset presents a comprehensive view of the diverse range of women's apparel available from this ..read more
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Understanding Zara's Pricing Strategy: Analyzing Product Price Distribution
Datahut Blog
by Aarathi J
2M ago
Zara, a leading global fashion retailer, is renowned for its fast-fashion model, which emphasizes rapid production cycles and swift ..read more
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Adidas vs Nike: Competitive Analysis with Data Visualizations
Datahut Blog
by Jerom Jo Manthara
2M ago
Nike and Adidas, two of the most iconic and influential brands in the global footwear industry, have consistently set benchmarks in style, performance, and innovation. Their extensive product lines and strong brand identities have cultivated large and loyal customer bases worldwide. As industry leaders, both companies are renowned for their high-quality, stylish, and performance-driven products that cater to a diverse range of consumers, from professional athletes to casual wearers. In this blog post, we delve into a comprehensive competitive analysis of Nike and Adidas, supported by detai ..read more
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The secret weapon of successful Amazon sellers
Datahut Blog
by Ashmi Subair
2M ago
Keywords, PPC campaigns, and optimized listings are essential for Amazon’s success. However, sellers must adopt new trends and strategies to remain competitive since the platform constantly changes.  Here's a glimpse into what's propelling top sellers in 2024: 1. Algorithm Mastery through Advanced Analytics Gone are the days of relying solely on basic keyword research. Today's sellers leverage sophisticated analytics tools to understand buyer behavior, predict trends and identify emerging search patterns. This approach allows them to optimize product listings for the A9 algorithm, m ..read more
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H&M's Pricing Strategy: Detailed Analysis & Data
Datahut Blog
by Aarathi J
3M ago
H&M, Hennes & Mauritz AB, is a Swedish multinational clothing-retail company known for its fashion-forward yet affordable apparel offerings. Established in 1947, H&M has grown into one of the world's largest fashion retailers, operating in over 70 countries with thousands of stores globally. H&M's Position in the Fashion Retail Industry H&M is celebrated for its ability to quickly interpret and incorporate fashion trends from the runways into its collections, making high-fashion accessible to the masses. Its expansive product range covers women's, men's, and children's ..read more
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Free Asin Tool for Amazon Sellers
Datahut Blog
by Jerom Jo Manthara
3M ago
The Amazon Standard Identification Number, or ASIN, is a unique identifier used by Amazon to catalog its millions of products. It is a ten-digit alphanumeric code that acts as product identifiers on Amazon. Every product listed on Amazon has its own ASIN, making it easy to pinpoint the exact item. Our Amazon ASIN lookup tool leverages this system to help you quickly gather detailed product information with just a few clicks, eliminating the need to navigate through the extensive Amazon Seller Central. The nature of search results influenced by various factors such as relevant keywords, tai ..read more
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