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Nike Shoe Sales & Customer Feedback
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a detailed collection of information pertaining to Nike shoe sales, including extensive customer reviews and ratings. Its primary purpose is to offer deep insights into consumer perception and preferences regarding Nike's product range. By analysing this data, one can understand which shoe models are most favoured, identify key features that customers value, and explore the relationship between product attributes, consumer feedback, and pricing. This information is highly valuable for informing future product design, marketing initiatives, and enabling more informed purchasing decisions.
Columns
product_name: The specific model name of the Nike shoe, such as 'Nike Air Max 90'.product_id: A distinct identification code for each shoe product.listing_price: The initial retail price at which the shoe was listed.sale_price: The actual price at which the shoe was sold.discount: The discount applied to the shoe, if any. This dataset currently shows all values as zero.brand: The brand of the shoe, which is consistently 'Nike' throughout this dataset.description: A textual explanation or marketing blurb for the shoe.rating: The average customer rating for the shoe, typically on a scale from 0 to 5.reviews: The total count of customer reviews submitted for the shoe.images: URLs linking to images of the shoe product.
Distribution
The dataset is provided in a CSV format, specifically named
nike_shoes_sales.csv. Its file size is approximately 732.21 kB. The structure consists of 10 distinct columns. For the majority of columns, there are 643 valid records. However, it is noted that a small number of entries are missing for the 'description' and 'images' fields. This dataset is not expected to receive future updates.Usage
This dataset is ideal for a variety of applications, including:
- Predictive Modelling: Developing models to forecast Nike shoe prices based on customer reviews and ratings.
- Market Research: Gaining insights into popular Nike shoe models, desirable features, and consumer sentiment to guide product development.
- Marketing Strategy: Informing branding and advertising campaigns by understanding what aspects of Nike shoes resonate most with customers.
- Consumer Guidance: Assisting potential buyers and shoe enthusiasts in making educated purchasing choices by reviewing aggregated customer experiences.
- Retail Optimisation: Helping retailers to adjust inventory levels and marketing tactics for different models, sizes, and colourways based on demand and popularity.
Coverage
The dataset includes sales information for Nike shoes across various platforms, including Nike's own website, Amazon, and other retailers. This indicates a broad market reach. However, specific geographic regions, time ranges, or demographic details of the consumers are not detailed within the provided information.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Researchers and Analysts: To uncover patterns in consumer behaviour, product popularity, and the impact of reviews on sales.
- Data Scientists and Machine Learning Practitioners: For building predictive models for pricing and demand forecasting.
- Brand Managers and Marketing Professionals: To strategise product launches and marketing messages based on genuine customer feedback.
- Consumers and Shoe Enthusiasts: To inform personal purchasing decisions by leveraging collective insights into product satisfaction.
- Retail Business Owners: To refine inventory management and enhance marketing approaches by understanding what sells well and why.
Dataset Name Suggestions
- Nike Footwear Consumer Insights
- Nike Shoe Sales & Customer Feedback
- Athletic Shoe Market Data
- Nike Product Review Analytics
- Consumer Ratings for Nike Shoes
Attributes
Original Data Source: Nike Shoe Sales & Customer Feedback
QUALITY