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Customer Spending and Satisfaction Data
E-commerce & Online Transactions
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About
This dataset offers an in-depth look into customer interactions and transactions on an e-commerce platform. It provides insights into customer preferences, engagement patterns, and satisfaction levels, enabling businesses to make data-driven decisions to enhance customer experience. Each entry in the dataset represents a unique customer's journey and buying habits.
Columns
- Customer ID: A unique numeric identifier for each customer, ensuring distinctness across the dataset. (Type: Numeric)
- Gender: Specifies the customer's gender, allowing for gender-based analytics. (Type: Categorical, values: Male, Female)
- Age: Represents the customer's age, useful for age-group-specific insights. (Type: Numeric, range: 26 to 43)
- City: Indicates the customer's city of residence, providing geographic insights. (Type: Categorical, common values: New York, Los Angeles)
- Membership Type: Identifies the type of membership held by the customer, which influences perks and benefits. (Type: Categorical, common values: Gold, Silver, Bronze)
- Total Spend: Records the total monetary expenditure by the customer on the e-commerce platform. (Type: Numeric, range: 411 to 1.52k)
- Items Purchased: Quantifies the total number of items bought by the customer. (Type: Numeric, range: 7 to 21)
- Average Rating: Represents the average rating given by the customer for purchased items, gauging satisfaction. (Type: Numeric, range: 3 to 4.9)
- Discount Applied: Indicates whether a discount was applied to the customer's purchase, influencing buying behaviour. (Type: Boolean, values: True, False, each 50% distribution)
- Days Since Last Purchase: Reflects the number of days elapsed since the customer's most recent purchase, aiding in retention analysis. (Type: Numeric, range: 9 to 63)
- Satisfaction Level: Captures the customer's overall satisfaction, offering a subjective measure of their experience. (Type: Categorical, common values: Satisfied, Unsatisfied, Neutral, 2 missing values)
Distribution
The dataset is provided as a CSV file, named 'E-commerce Customer Behavior - Sheet1.csv', with a size of 21.63 kB. It consists of 11 columns and contains 350 individual customer records.
Usage
This dataset is ideal for:
- Customer Segmentation: Analysing and categorising customers based on demographics, spending habits, and satisfaction levels.
- Satisfaction Analysis: Investigating factors that influence customer satisfaction and identifying areas for service improvement.
- Promotion Strategy: Assessing the impact of discounts on customer spending to tailor promotional strategies effectively.
- Retention Strategies: Developing targeted retention initiatives by understanding the time elapsed since a customer's last purchase.
- City-based Insights: Exploring regional variations in customer behaviour to optimise marketing efforts according to location-specific trends.
Coverage
The dataset covers customer demographics including gender and age, with ages ranging from 26 to 43. Geographically, it includes cities of residence, with New York and Los Angeles being prominent. There is no explicit time range for the dataset as a whole, but 'Days Since Last Purchase' provides temporal insight into customer activity. This dataset is synthetically generated for illustrative purposes. It is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for businesses aiming to make data-driven decisions to enhance customer experience. Intended users include:
- Marketing Analysts: To segment customers and optimise promotional campaigns.
- Business Strategists: To develop retention strategies and understand overall customer satisfaction.
- Data Scientists: For in-depth analysis of purchasing patterns and engagement.
- E-commerce Managers: To gain insights into regional customer behaviour and improve service offerings.
Dataset Name Suggestions
- E-commerce Customer Behaviour Analytics
- Customer Engagement and Purchase Data
- Online Retail Customer Insights
- E-commerce User Activity Dataset
- Customer Spending and Satisfaction Data
Attributes
Original Data Source: Customer Spending and Satisfaction Data
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