In-Vehicle Coupon Acceptance Data

Columns

• destination: The driver's intended destination (e.g., No Urgent Place, Home, Work).
• passanger: Who is in the car with the driver (e.g., Alone, Friend(s), Kid(s), Partner).
• weather: The prevailing weather conditions (e.g., Sunny, Rainy, Snowy).
• temperature: The ambient temperature in Fahrenheit (e.g., 55, 80, 30).
• time: The time of day the scenario occurs (e.g., 2PM, 10AM, 6PM, 7AM, 10PM).
• coupon: The type of coupon offered (e.g., Restaurant(<£20), Coffee House, Carry out & Take away, Bar, Restaurant(£20-£50)).
• expiration: The coupon's validity period (e.g., 1d for 1 day, 2h for 2 hours).
• gender: The driver's gender (e.g., Female, Male).
• age: The driver's age group (e.g., 21, 46, 26, 31, 41, 50plus, 36, below21).
• maritalStatus: The driver's marital status (e.g., Unmarried partner, Single, Married partner, Divorced, Widowed).
• has_Children: Indicates if the driver has children (1 for yes, 0 for no).
• education: The driver's highest level of education (e.g., Some college - no degree, Bachelors degree, Associates degree, High School Graduate, Graduate degree (Masters or Doctorate), Some High School).
• occupation: The driver's occupation, from a wide range of categories (e.g., Unemployed, Student, Sales & Related).
• income: The driver's annual income bracket (e.g., £37500 - £49999, £100000 or More).
• Bar: How many times the driver typically goes to a bar per month (e.g., never, less1, 1~3, gt8, nan4~8).
• CoffeeHouse: How many times the driver typically goes to a coffeehouse per month (e.g., never, less1, 4~8, 1~3, gt8, nan).
• CarryAway: How many times the driver typically gets take-away food per month (e.g., n4~8, 1~3, gt8, less1, never).
• RestaurantLessThan20: How many times the driver typically goes to a restaurant with an average expense per person of less than £20 per month (e.g., 4~8, 1~3, less1, gt8, never).
• Restaurant20To50: How many times the driver typically goes to a restaurant with an average expense per person of £20 - £50 per month (e.g., 1~3, less1, never, gt8, 4~8, nan).
• toCoupon_GEQ15min: Binary indicator if driving distance to the coupon's location is greater than 15 minutes (0 or 1).
• toCoupon_GEQ25min: Binary indicator if driving distance to the coupon's location is greater than 25 minutes (0 or 1).
• direction_same: Binary indicator if the coupon's location is in the same direction as the driver's current destination (0 or 1).
• direction_opp: Binary indicator if the coupon's location is in the opposite direction to the driver's current destination (0 or 1).
• Y: The target variable, indicating whether the coupon was accepted (1 for accepted, 0 for not accepted).

Distribution

Usage

• Developing machine learning models to predict coupon acceptance rates.
• Analysing factors influencing consumer decisions in location-based marketing.
• Understanding the impact of contextual variables (e.g., weather, time, destination) on offer redemption.
• Creating targeted coupon recommendation systems for in-vehicle applications.
• Market research into demographic influences on purchasing behaviour.

Coverage

License

Who Can Use It

• Data Scientists and Machine Learning Engineers: For building and testing predictive models.
• Marketing Analysts: To gain insights into customer segmentation and targeted promotional strategies.
• Business Intelligence Professionals: For understanding market trends and consumer preferences.
• Academic Researchers: For studies in consumer behaviour, predictive analytics, and human-computer interaction.
• Urban Planners and Automotive Industry Stakeholders: For understanding travel patterns and in-car service potential.

Dataset Name Suggestions

• In-Vehicle Coupon Acceptance Data
• Driving Coupon Prediction Dataset
• Consumer Offer Behaviour Dataset
• Automotive Coupon Redemption Analytics

Attributes