Content
An Adidas sales dataset is a collection of data that includes information on the sales of Adidas products. This type of dataset may include details such as the number of units sold, the total sales revenue, the location of the sales, the type of product sold, and any other relevant information.
Adidas sales data can be useful for a variety of purposes, such as analyzing sales trends, identifying successful products or marketing campaigns, and developing strategies for future sales. It can also be used to compare Adidas sales to those of competitors, or to analyze the effectiveness of different marketing or sales channels.
There are a variety of sources that could potentially provide an Adidas sales dataset, including Adidas itself, market research firms, government agencies, or other organizations that track sales data. The specific data points included in an Adidas sales dataset may vary depending on the source and the purpose for which it is being used.
Dataset Glossary (Column-Wise)
- Retailer
: Represents the business or individual that sells Adidas products directly to consumers.
Retailer ID
: A unique identifier assigned to each retailer in the dataset.
Invoice Date
: The date when a particular invoice or sales transaction took place.
Region
: Refers to a specific geographical area or district where the sales activity or retail operations occur.
State
: Represents a specific administrative division or territory within a country.
City
: Refers to an urban area or municipality where the sales activity or retail operations are conducted.
Product
: Represents the classification or grouping of Adidas products.
Price per Unit
: The cost or price associated with a single unit of a product.
Units Sold
: The quantity or number of units of a particular product sold during a specific sales transaction.
Total Sales
: The overall revenue generated from the sales transactions.
Operating Profit
: The profit earned by the retailer from its normal business operations.
Sales Method
: The approach or channel used by the retailer to sell its products or services.
This timeline presents Nike's North American revenue from 2009 to 2024, by segment. Nike's North American revenue from footwear amounted to roughly 14.5 billion U.S. dollars in the year ended May 31, 2024, which was far greater than that of the apparel and equipment segments combined. That said, only the equipment segment recorded noticeable sales growth in the last year. A broad portfolio Nike offers an extremely broad array of products within the apparel and sports equipment market. As one of the leading companies, Nike tries to stay ahead of the game and create new, unique and innovative products to give their athletes, and their profit margins the edge. This can be seen in the number of patents filed by Nike. These patents cover a wide array of technology areas, primarily design, followed by footwear. Nike shoes And Nike’s investment in footwear is rewarded, as the revenue of Nike’s footwear segment compared to Adidas and Puma is far greater than that of its competitors. Nike has many lines of iconic shoes, from their air Jordan line to the extremely limited-edition Nike Air mags. These were shoes based on the film Back to the Future, which feature self-lacing technology.
ExactOne delivers unparalleled consumer transaction insights to help investors and corporate clients uncover market opportunities, analyze trends, and drive better decisions.
Dataset Highlights - Source: Debit and credit card transactions from 600K+ active users and 2M accounts connected via Open Banking. Scale: Covers 250M+ annual transactions, mapped to 1,800+ merchants and 330+ tickers. Historical Depth: Over 6 years of transaction data. Flexibility: Analyse transactions by merchant/ticker, category/industry, or timeframe (daily, weekly, monthly, or quarterly).
ExactOne data offers visibility into key consumer industries, including: Airlines - Regional / Budget Airlines - Cargo Airlines - Full Service Autos - OEMs Communication Services - Cable & Satellite Communication Services - Integrated Telecommunications Communication Services - Wireless Telecom Consumer - Services Consumer - Health & Fitness Consumer Staples - Household Supplies Energy - Utilities Energy - Integrated Oil & Gas Financial Services - Insurance Grocers - Traditional Hotels - C-corp Industrial - Tools And Hardware Internet - E-commerce Internet - B2B Services Internet - Ride Hailing & Delivery Leisure - Online Gambling Media - Digital Subscription Real Estate - Brokerage Restaurants - Quick Service Restaurants - Fast Casual Restaurants - Pubs Restaurants - Specialty Retail - Softlines Retail - Mass Merchants Retail - European Luxury Retail - Sports & Athletics Retail - Footwear Retail - Dept Stores Retail - Luxury Retail - Convenience Stores Technology Utilities
Use Cases
For Private Equity & Venture Capital Firms: - Deal Sourcing: Identify high-growth opportunities. - Due Diligence: Leverage transaction data to evaluate investment potential. - Portfolio Monitoring: Track performance post-investment with real-time data.
For Consumer Insights & Strategy Teams: - Market Dynamics: Compare sales trends, average transaction size, and customer loyalty. - Competitive Analysis: Benchmark market share and identify emerging competitors. - E-commerce vs. Brick & Mortar Trends: Assess channel performance and strategic opportunities. - Demographic & Geographic Insights: Uncover growth drivers by demo and geo segments.
For Investor Relations Teams: - Shareholder Insights: Monitor brand performance relative to competitors. - Real-Time Intelligence: Analyse sales and market dynamics for public and private companies. - M&A Opportunities: Evaluate market share and growth potential for strategic investments.
Key Benefits of ExactOne - Understand Market Share: Benchmark against competitors and uncover emerging players. - Analyse Customer Loyalty: Evaluate repeat purchase behavior and retention rates. - Track Growth Trends: Identify key drivers of sales by geography, demographic, and channel. - Granular Insights: Drill into transaction-level data or aggregated summaries for in-depth analysis.
With ExactOne, investors and corporate leaders gain actionable, real-time insights into consumer behaviour and market dynamics, enabling smarter decisions and sustained growth.
This statistic depicts the sales of the H&M Group worldwide from 2006 to 2023. In the fiscal year 2023, global net sales of the H&M Group amounted to about 236 billion Swedish kronor. H&MH&M offers a broad and varied range of fashion including collections for women, men, teenagers and children. The range also includes sportswear, underwear, shoes, accessories and cosmetics, as well as home textiles and decorations from H&M Home.Germany is H&M's largest market. In 2023, over 35 billion Swedish kronor were generated from that country alone. The company operates roughly 4,370 stores worldwide and employs over 100,000 people. H&M dropped out of the top ten most valuable apparel brands in the world as of 2023.H&M aims to be a more sustainable choice for today’s increasingly aware customers. To this end, H&M’s investments in social improvements and reduced environmental impact extend throughout the product life cycle – from responsible use of natural resources to ensuring good working conditions at suppliers’ factories. Sustainability work is thoroughly integrated into the business, not only because it is an investment in the customer offering,but also because it is vital to the group’s long-term growth and development. However, there have been questions raised as to how effective and trustworthy H&M's sustainability practices really are.
As one of the largest and most recognizable athletic brands on the planet, it is of little surprise that Nike is the leader within its industry of athletic apparel, accessories and footwear, with sales reaching over 51.5 billion U.S. dollars in 2023. This was more than double that of second-placed Adidas.
Top athletic brands
The sports apparel industry is a lucrative one, which is forecast to grow further in the coming years. Not only is Nike one of the most prominent producers within this market worldwide, but the company also holds the honor of being ranked as one of the world's leading apparel brands. Adidas, Puma, and Under Armour are some of Nike’s main competitors, as they operate within the same markets. However, Nike’s brand value has historically been significantly higher than that of its closest competitor, adidas, and the gap has grown.
Sportswear stores
In 2023, there were over 1,000 Nike stores worldwide. In comparison, the number of adidas Group retail stores was roughly 2,000 in 2022. The most prominent Adidas store type was factory outlets of which there were over 1,000 worldwide.
In 2023, nearly 40 percent of the adidas Group's net sales were generated in the EMEA region. Sales shares from the key regions of North America and Greater China stood at 25 and 15 percent, respectively. That year, the adidas Group generated some 21.4 billion euros in net sales worldwide.
The adidas Group’s global appeal
The adidas Group had consistently increased its global sales figures since 2013, exceeding 21 billion euros annually from 2017. In the year of the pandemic in 2020, however, sales had dropped slightly. In terms of product categories, footwear sales reached over 12 billion euros in 2023 – about the same amount in the previous year – and this corresponded to just over 55 percent share of adidas’ net sales. Apparel makes up the company's second-largest product segment.
The departure of Reebok
The Reebok brand had been part of the adidas Group since the mid-2000s, continuously generating annual net sales worldwide of more than 1.4 billion euros. North America was the subsidiary's best performing region in 2020, with net sales of 397 million euros. However, adidas announced its plans to sell the brand in 2021, and in 2022, Reebok was acquired by Authentic Brands Group (ABG).
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Content
An Adidas sales dataset is a collection of data that includes information on the sales of Adidas products. This type of dataset may include details such as the number of units sold, the total sales revenue, the location of the sales, the type of product sold, and any other relevant information.
Adidas sales data can be useful for a variety of purposes, such as analyzing sales trends, identifying successful products or marketing campaigns, and developing strategies for future sales. It can also be used to compare Adidas sales to those of competitors, or to analyze the effectiveness of different marketing or sales channels.
There are a variety of sources that could potentially provide an Adidas sales dataset, including Adidas itself, market research firms, government agencies, or other organizations that track sales data. The specific data points included in an Adidas sales dataset may vary depending on the source and the purpose for which it is being used.
Dataset Glossary (Column-Wise)
- Retailer
: Represents the business or individual that sells Adidas products directly to consumers.
Retailer ID
: A unique identifier assigned to each retailer in the dataset.
Invoice Date
: The date when a particular invoice or sales transaction took place.
Region
: Refers to a specific geographical area or district where the sales activity or retail operations occur.
State
: Represents a specific administrative division or territory within a country.
City
: Refers to an urban area or municipality where the sales activity or retail operations are conducted.
Product
: Represents the classification or grouping of Adidas products.
Price per Unit
: The cost or price associated with a single unit of a product.
Units Sold
: The quantity or number of units of a particular product sold during a specific sales transaction.
Total Sales
: The overall revenue generated from the sales transactions.
Operating Profit
: The profit earned by the retailer from its normal business operations.
Sales Method
: The approach or channel used by the retailer to sell its products or services.