# Buy or Not: Purchase Intent Prediction Challenge — Data

来源：https://www.kaggle.com/competitions/buy-or-not-purchase-intent-prediction-challenge/data

采集时间：2026-10-19T17:11:05Z

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

*   `ID` - Unique identifier for each record
*   `Start Date` - The date when the customer journey began
*   `End Date` - The date when the customer journey ended
*   `Customer Segment 1` - Primary classification of the customer (e.g., industry, business type)
*   `Customer Segment 2` - Secondary segmentation (e.g., company size, revenue tier)
*   `Customer Segment 3` - Additional segmentation (e.g., product interest, use case)
*   `Customer Segment 4` - Further segmentation (e.g., geographic grouping, market cluster)
*   `Customer Segment 5` - Custom or advanced segmentation field (e.g., loyalty tier, channel)
*   `Unit Number` - Product quantity
*   `Activity 1` - The first type of customer interaction or engagement recorded (e.g., website visit, email click, inquiry)
*   `Activity 2` - The second type of customer interaction or engagement recorded (e.g., attending a webinar, downloading material, sales call)
*   `Country` - Customer’s country location
*   `City` - Customer’s city location
*   `Product` - The product or solution associated with the record.
*   `Marketing Source` - Origin of the marketing activity channel (e.g., email campaign, event, website).
*   `Division - Internal company division responsible for the customer
*   `Manager` - Name of the account manager or sales manager handling the record
*   `Technical Manager` - Name of the technical manager or solution consultant involved
*   `Customer ID` - Unique customer identifier
*   `Result` - "YES" means "Buy", "No" means "Not Buy"