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E-commerce A/B Testing & User Behaviour Dataset
E-commerce & Online Transactions
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Free
About
Website conversion data for Bluetooth speaker sales tracks user sessions across different landing page designs. The primary goal is to analyse conversion rates, user behaviour, and other factors that influence sales. It includes detailed user engagement metrics like time spent on pages, number of pages visited, device type, sign-in methods, and geographical information.
Columns
- user_id: A unique identifier for each visitor.
- session_id: A unique identifier for each session or visit.
- sign_in: Specifies if the user logged in via email or used guest access.
- name: The name of the visitor.
- demographic_age: The age of the visitor.
- demographic_age_group: The age classification of the visitor: "Teenage", "Adult", or "Old".
- demographic_gender: The gender of the visitor (Male, Female, Not Answered).
- email: The email address of the user, if they logged in via email.
- location: The city where the visitor is located.
- country: The country corresponding to the visitor's location.
- device_type: The type of device used (Mobile, Desktop, or Tablet).
- timestamp: The start time of the session.
- variant_group: The landing page design shown to the user (Vibrant, Cold, Heat).
- time_spent: The total time in minutes the user spent on the landing page.
- pages_visited: The number of pages viewed by the user during the session.
- conversion_flag: A binary indicator (0/1) showing if the user converted.
- conversion_type: The type of conversion achieved, such as Signup or Purchase.
- traffic_source: The origin of the traffic (Organic, Paid, Social, or Referral).
- product_purchased: A list of products bought, if applicable.
- revenue_$: The total revenue generated from the transaction.
- payment_type: The payment method used, for example, Card or COD.
- card_type: The type of card used for payment, such as Amex, Visa, or Master.
- coupon_applied: Indicates whether a coupon was used (Yes/No).
- bounce_flag: Shows if the session was a bounce (only one page visited).
Distribution
The data is available as a single CSV file named
cleaned_speakers_data.csv, with a size of 5.18 MB. It is structured into 24 columns and contains 30,000 records.Usage
This data is ideal for various analytical tasks. Key applications include conducting A/B testing and multivariate analysis to compare landing page designs, conversion rate optimisation (CRO), and user segmentation based on demographics. It can also be used for predictive modelling to estimate conversion likelihood based on session characteristics, as well as for revenue and payment analysis.
Coverage
The dataset covers a time period from 1 January 2025 to 20 February 2025. Geographically, it includes data from 15 different countries, with the United States and India being the most represented. Demographically, it provides information on user age, which ranges from 14 to 80, and gender.
License
CC0: Public Domain
Who Can Use It
- Marketing Analysts: For optimising conversion rates and understanding customer behaviour.
- Data Scientists: To build predictive models for conversion likelihood and segment users.
- E-commerce Managers: To analyse sales funnels and the effectiveness of different landing pages.
- Business Analysts: For revenue analysis and understanding payment trends.
Dataset Name Suggestions
- Bluetooth Speaker Sales Conversion Analysis
- E-commerce A/B Testing & User Behaviour Dataset
- Website Conversion Optimisation for Speaker Sales
- Landing Page Experimentation and Sales Data
- User Engagement and Sales Funnel Analytics
Attributes
Original Data Source: E-commerce A/B Testing & User Behaviour Dataset
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