Amazon Prime Userbase Dataset
Sample Amazon Prime User Data: Subscription Types, Revenue, User Details etc.
@kaggle.arnavsmayan_amazon_prime_userbase_dataset
Sample Amazon Prime User Data: Subscription Types, Revenue, User Details etc.
@kaggle.arnavsmayan_amazon_prime_userbase_dataset
The Amazon Prime Users Dataset contains information about 2500 fictional users of the Amazon Prime subscription service. Each entry in the dataset includes details such as the user's name, email address, location, subscription plan, payment information, and engagement metrics. Additionally, demographic data such as gender and date of birth are provided, along with user preferences such as favorite genres and devices used to access the platform.
The dataset aims to represent a diverse range of Prime users, including different demographics, subscription plans, and usage patterns. It is designed to facilitate analysis and insights into user behavior, preferences, and interactions with the Amazon Prime platform. Researchers and analysts can use this dataset to study trends, conduct targeted marketing campaigns, and improve user experience on the platform.
Please note that this dataset contains fictional data generated for illustrative purposes only and does not represent real Amazon Prime users.
CREATE TABLE amazon_prime_users (
"user_id" BIGINT,
"name" VARCHAR,
"email_address" VARCHAR,
"username" VARCHAR,
"date_of_birth" TIMESTAMP,
"gender" VARCHAR,
"location" VARCHAR,
"membership_start_date" TIMESTAMP,
"membership_end_date" TIMESTAMP,
"subscription_plan" VARCHAR,
"payment_information" VARCHAR,
"renewal_status" VARCHAR,
"usage_frequency" VARCHAR,
"purchase_history" VARCHAR,
"favorite_genres" VARCHAR,
"devices_used" VARCHAR,
"engagement_metrics" VARCHAR,
"feedback_ratings" DOUBLE,
"customer_support_interactions" BIGINT
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