Data that simulates the behavior of Cafe Rewards members over 30 days, including their transactions and responses to promotional offers. The data is contained in three files: one with details on each offer, another with demographic information on each customer, and a third with the activity for each customer during the period. The activities are divided into offer received, offer viewed, offer accepted, and transaction. For a transaction to be attributed to an offer, it must occur at the same time as when the offer was "completed" by the customer.

#Overview of the Data

The dataset is designed to capture and analyze the behavior of Cafe Rewards members over 30 days. It provides insights into how customers interact with promotional offers and their subsequent transactions. The data is divided into three separate files, each containing distinct but related types of information:

Using the Data

Analysis of Engagement: By analyzing the offer received, viewed, accepted, and transaction data, businesses can gauge how well their promotional offers are performing and understand customer engagement patterns.

Customer Segmentation: By combining demographic information with activity data, businesses can identify which customer segments are most responsive to offers and tailor future promotions accordingly.

Effectiveness of Offers: Businesses can evaluate the effectiveness of different offers based on conversion rates, i.e., how many offers received lead to transactions and how quickly after acceptance transactions occur.

This structured approach allows for comprehensive insights into customer behavior, the success of promotional strategies, and the overall effectiveness of marketing campaigns.