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Maternity Wear Online Shopping Behaviour Data
Retail & Consumer Behavior
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About
This dataset captures clickstream behaviour from an online store specialising in clothing for pregnant women. It provides detailed user interaction data, offering valuable insights into online shopping patterns, consumer navigation, and product engagement within the maternity retail sector. The data, collected over five months in 2008, is ideal for analysing user journeys and understanding specific consumer preferences in e-commerce.
Columns
The dataset contains 14 distinct variables:
- YEAR: The year of data collection, fixed at 2008.
- MONTH: The month of the click event, ranging from April (4) to August (8).
- DAY: The day number within the month.
- ORDER: Represents the sequence of clicks performed during a single user session.
- COUNTRY: Indicates the country of origin of the IP address, with 47 distinct categories including specific nations and generic top-level domains like '.com' or '.org'.
- SESSION ID: A unique identifier for each user session.
- PAGE 1 (MAIN CATEGORY): Specifies the primary product category viewed, such as trousers, skirts, blouses, or sale items.
- PAGE 2 (CLOTHING MODEL): Contains unique codes for each of the 217 different clothing products available.
- COLOUR: The colour of the product being viewed, offering 14 options including black, blue, green, and various other shades.
- LOCATION: Describes where the product photo was positioned on the page, with six divisions (e.g., top left, bottom right).
- MODEL PHOTOGRAPHY: Specifies the angle of the model in the photograph, either 'en face' (front-facing) or 'profile'.
- PRICE: The price of the product in US dollars.
- PRICE 2: A binary indicator (1 for yes, 2 for no) showing if the product's price is higher than the average price for its category.
- PAGE: The specific page number within the e-store website, ranging from 1 to 5.
Distribution
The dataset is provided as a CSV file, named 'e-shop clothing 2008.csv', with a file size of 6.68 MB. It consists of 14 columns, with a reported 165,474 total values across most columns, although specific valid record counts are not detailed in the provided sample information.
Usage
This dataset is highly suitable for various analytical purposes, including:
- E-commerce analytics: Understanding user navigation paths, popular products, and abandoned carts.
- Consumer behaviour research: Identifying patterns in online shopping, purchase intentions, and browsing habits of pregnant women.
- Marketing strategy development: Informing product placement, promotional timing, and targeted advertising based on user interaction.
- User experience (UX) optimisation: Assessing the effectiveness of page layouts, photo placements, and product categorisation.
Coverage
The data encompasses five months of 2008, specifically from April to August. Geographically, it covers 47 distinct countries and generic IP origins, providing a broad international perspective on online shopping behaviour. The demographic scope is focused on consumers of clothing for pregnant women.
License
CC0: Public Domain
Who Can Use It
This dataset is beneficial for:
- E-commerce businesses aiming to refine their online strategies and understand customer journeys.
- Data analysts and scientists focused on clickstream analysis, predictive modelling, and pattern recognition.
- Academics and researchers studying consumer psychology, digital marketing, and retail trends.
- Marketing professionals seeking data-driven insights for campaign planning and audience targeting.
- User experience (UX) designers looking to improve website navigability and user engagement.
Dataset Name Suggestions
- Pregnant Women's Clothing E-Commerce Clickstream 2008
- Maternity Wear Online Shopping Behaviour Data
- 2008 E-Shop Clickstream: Pregnant Women
- Online Maternity Retailer User Activity Data
- E-Commerce Clickstream: Maternity Fashion 2008
Attributes
Original Data Source: Maternity Wear Online Shopping Behaviour Data
QUALITY