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E-commerce Summer Product Performance Analysis
E-commerce & Online Transactions
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Free
About
the dynamics of top-selling summer products on e-commerce platforms. This dataset offers detailed features, ratings, sales figures, customer reviews, and other key metrics, enabling an understanding of what drives success for seasonal items. It serves as a valuable resource for identifying correlations and patterns to optimise business operations and enhance analytical insights.
Columns
The dataset includes two main files:
File: summer-products-with-rating-and-performance_2020-08.csv
- title: The name of the product (String).
- title_orig: The original name of the product (String).
- price: The price of the product (Float).
- retail_price: The initial retail price of the product (Float).
- currency_buyer: The currency used by the buyer (String).
- units_sold: The quantity of items sold (Integer).
- uses_ad_boosts: Indicates if the product was promoted with ads (Boolean).
- rating: The product's overall rating (Float).
- rating_count: The total number of ratings received (Integer).
- rating_five_count: Number of five-star ratings (Integer).
- rating_four_count: Number of four-star ratings (Integer).
- rating_three_count: Number of three-star ratings (Integer).
- rating_two_count: Number of two-star ratings (Integer).
- rating_one_count: Number of one-star ratings (Integer).
- badges_count: Number of badges associated with the product (Integer).
- badge_local_product: Indicates if the product is local (Boolean).
- badge_product_quality: Indicates if the product has a quality badge (Boolean).
- badge_fast_shipping: Indicates if the product has a fast shipping badge (Boolean).
- tags: Keywords linked to the product (String).
- product_color: The colour of the product (String).
- product_variation_inventory: Inventory level for the product variation (Integer).
- shipping_option_name: The title of the shipping choice (String).
- shipping_option_price: The cost of the shipping choice (Float).
- shipping_is_express: Indicates if shipping is express (Boolean).
- countries_shipped_to: Countries where the product is shipped (String).
- inventory_total: The total product inventory (Integer).
- has_urgency_banner: Indicates if an urgency banner is present (Boolean).
- urgency_text: The content of the urgency banner (String).
- origin_country: The product's country of origin (String).
- merchant_title: The merchant's title (String).
- merchant_name: The merchant's name (String).
- merchant_info_subtitle: The merchant's subtitle (String).
- merchant_rating_count: Total ratings for the merchant (Integer).
- merchant_has_profile_picture: Indicates if the merchant has a profile picture (Boolean).
- merchant_profile_picture: The merchant's profile picture (String).
- product_url: The URL for the product (String).
- product_picture: The image of the product (String).
- theme: The product's theme (String).
- crawl_month: The month when the product data was collected (String).
File: Computed insight - Success of active sellers.csv
- rating: The product's rating (Float).
- listedproducts: The number of products listed on the Wish e-commerce platform (Integer).
- totalunitssold: The total quantity of units sold for the product (Integer).
- meanunitssoldperproduct: The average number of units sold per product (Float).
- merchantratingscount: The number of ratings for the merchant (Integer).
- meanproductprices: The average price of the product (Float).
- meanretailprices: The average retail price of the product (Float).
- averagediscount: The average discount applied to the product (Float).
- meandiscount: The mean discount applied to the product (Float).
- meanproductratingscount: The average number of ratings for the product (Float).
- totalurgencycount: The total number of urgency counts for the product (Integer).
- urgencytextrate: The rate of urgency text bids for the product (Float).
Distribution
The dataset is provided in CSV format. The file "Computed insight - Success of active sellers.csv" is 82.4 kB in size and contains 958 records. Information regarding the exact number of rows/records for "summer-products-with-rating-and-performance_2020-08.csv" is not explicitly available in the provided details. The dataset is structured to allow detailed analysis of product and merchant performance metrics.
Usage
This dataset is ideal for:
- Estimating optimal pricing strategies for products by analysing ratings, merchant ratings, discounts, and other metrics.
- Analysing the performance of seasonal summer products, studying correlations between product attributes, ratings, units sold, and prices to identify trends and improve sales strategies.
- Tracking seller performance across different regions by examining customer reviews to understand how location influences sales and evaluate customer satisfaction with shipping and product quality.
- Gaining insights into how well specific products sell and average product prices during the summer season on e-commerce platforms like Wish.
Coverage
The dataset focuses on summer product listings and their performance on the Wish e-commerce platform. The crawl month for one of the files is August 2020, indicating a specific time frame for the captured data. While explicit geographic or demographic scopes are not detailed, the inclusion of "countries_shipped_to" suggests a potentially global reach of the e-commerce activities recorded.
License
CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
Who Can Use It
This dataset is valuable for:
- E-commerce businesses and managers looking to understand product success factors and optimise sales strategies.
- Data analysts and scientists interested in uncovering patterns in product ratings, sales, and pricing.
- Marketing professionals seeking to identify effective product features and promotional techniques.
- Researchers studying consumer behaviour, seasonal trends, and platform dynamics in online retail.
- Entrepreneurs seeking insights into top-selling products for the summer season.
Dataset Name Suggestions
- E-commerce Summer Product Performance Analysis
- Wish Platform Summer Sales & Ratings
- Seasonal Product Success Metrics
- Online Retail Product Performance Data
- Summer Product Performance Insights 2020
Attributes
Original Data Source: E-commerce Summer Product Performance Analysis
QUALITY