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Superstore Customer Response Data
Product Reviews & Feedback
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Free
About
This dataset contains sample customer data for a superstore's marketing campaign. The main purpose is to enable the development of a predictive model to classify existing customers who are likely to purchase a new 'gold membership' offer. This gold membership provides a 20% discount on all purchases for £499, a significant reduction from its usual price of £999. The dataset supports the objective of identifying factors that influence a customer's positive response to the offer, thereby helping to reduce campaign costs by targeting efforts efficiently.
Columns
- Id: A unique identifier for each customer.
- Year_Birth: The customer's year of birth.
- Education: The customer's level of education, such as Graduation or PhD.
- Marital_Status: The customer's marital status, for example, Married or Together.
- Income: The customer's yearly household income.
- Kidhome: The number of small children (kids) in the customer's household.
- Teenhome: The number of teenagers in the customer's household.
- Dt_Customer: The date when the customer enrolled with the company.
- Recency: The number of days that have passed since the customer's last purchase.
- MntWines: The amount of money spent on wine products in the last two years.
- MntFruits: The amount of money spent on fruit products in the last two years.
- MntMeatProducts: The amount of money spent on meat products in the last two years.
- MntFishProducts: The amount of money spent on fish products in the last two years.
- MntSweetProducts: The amount of money spent on sweet products in the last two years.
- MntGoldProds: The amount of money spent on gold products in the last two years.
- NumDealsPurchases: The number of purchases made using a discount.
- NumWebPurchases: The number of purchases made through the company's website.
- NumCatalogPurchases: The number of purchases made using a catalogue (goods shipped via mail).
- NumStorePurchases: The number of purchases made directly in physical stores.
- NumWebVisitsMonth: The number of visits to the company's website in the last month.
- Response: The target variable, indicating 1 if the customer accepted the offer in the last campaign and 0 otherwise.
- Complain: Indicates 1 if the customer lodged a complaint in the last two years.
Distribution
The dataset is provided in CSV format and contains 22 columns. It comprises 2240 records, though the 'Income' column has 24 missing values, resulting in 2216 valid entries for that specific field. The file size is 184.18 kB.
Usage
This dataset is ideally suited for building a predictive model to forecast the likelihood of a customer accepting a marketing offer. It can be used to analyse and identify various factors that influence a customer's response, helping businesses to make data-driven decisions for targeted campaigns and to optimise marketing spend.
Coverage
The dataset focuses on existing customer data, with customer enrolment dates ranging from January 2012 to December 2014. Spending habits across various product categories and complaint data are recorded for the last two years. The demographic scope covers customers with a wide range of birth years (1893 to 1996), different educational backgrounds (e.g., Graduation, PhD), diverse marital statuses, and varying household incomes. There are no specific geographic details provided within the source material.
License
CC0: Public Domain
Who Can Use It
This dataset is beneficial for superstore management and marketing teams aiming to enhance their campaign effectiveness. Data analysts and data scientists can utilise it for predictive modelling, customer segmentation, and behaviour analysis to improve customer engagement and sales strategies.
Dataset Name Suggestions
- Superstore Customer Response Data
- Gold Membership Campaign Prediction Dataset
- Retail Customer Marketing Analytics
- Superstore Customer Engagement Data
- Marketing Offer Acceptance Data
Attributes
Original Data Source:Superstore Customer Response Data
QUALITY