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Mobile Retail Transaction Metrics
Retail & Consumer Behavior
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About
Delve into the intricate details of smartphone and accessory sales data collected from a retail outlet. The collection spans multiple fiscal years, offering valuable metrics on individual transactions, product categorisation, quantity sold, pricing strategies, and preferred payment methods. This material is significant for understanding retail dynamics and consumer purchasing trends in the mobile technology sector.
Columns
- Date: The specific date of the transaction (format: dd-mm-yyyy).
- F.Y (Fiscal Year): The fiscal year during which the sale occurred.
- QUARTER: The specific quarter of the fiscal year.
- P_NO: The product number or code assigned to the item.
- PAYMENT TYPE: The method used for payment (e.g., CASH, MOBILE PAYMENTS, DEBIT).
- TYPE OF PRODUCT: The general product category (e.g., ACCESSORY, MOBILE).
- Quantity: The number of units purchased.
- Price: The price per unit of the product.
- Amount: The total monetary amount for the transaction.
- TYPE OF ACCESSORY/MOBILE: Further details on the specific accessory or mobile product (e.g., COVER, BUDGET PHONE).
Distribution
The data is provided in a standard tabular structure, typically in CSV format, with a file size of 515.7 kB. It contains 6,421 valid records across 10 distinct columns. The quantity purchased ranges from 1 unit up to 30 units per transaction, while unit prices vary significantly, with a maximum exceeding 100k. Only one record is noted as missing in the Product Number column.
Usage
This material is ideal for examining seasonal shifts in sales volumes and determining the popularity of various product categories. Users can identify top-selling products and their revenue contribution. It supports correlation studies between payment methods (such as Mobile Payments, which account for 29% of common methods) and transaction values, as well as analyses of price elasticity and optimal pricing strategies.
Coverage
The scope covers transactions across several fiscal years, including records from 2018-2019 up to 2021-2022, providing time series depth. The data focuses specifically on transactional records from a singular retail outlet environment. The primary product types recorded are MOBILE (78% of products) and ACCESSORY (20% of products).
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Data Analysts: To track seasonal performance, quarter-over-quarter trends, and identify high-value mobile and accessory products. Researchers: To study consumer behaviour regarding technology purchases, product type correlations, and payment preference shifts. Data Enthusiasts: Seeking practical experience with real-world retail analytics data and regression modelling.
Dataset Name Suggestions
- Mobile Retail Transaction Metrics
- Accessory and Mobile Sales Ledger
- Retail Outlet Sales Performance Data
- Fiscal Year Smartphone Sales Tracker
Attributes
Original Data Source: Mobile Retail Transaction Metrics
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