Travel

Alliant Travel audiences are built using product-specific e-commerce data as a study group, that is then joined to an offline cooperative database of direct-to-consumer purchase transactions, demographics, and lifestyle information. The analysis of the combined data is used for predictive modeling to identify other households in the cooperative that have shared characteristics to predict purchase from Travel related brands or show interest in traveling.

Samples/Tables Included:
-Airlines
-Hotels
-Travel Booking Websites
-Car Rental Brands
-Theme Parks and Resorts
-Travel Frequency
-Travel type

Sample Fields Included:
- Airbnb Buyer Propensity
- Budget Car Rental Buyer Propensity
- Carnival Cruise Buyer Propensity
- Expedia Buyer Propensity
- JetBlue Buyer Propensity
- Lyft Buyer Propensity
- Six Flags Buyer Propensity
- National Park Visitor Propensity
- Frequent Flyer - Propensity
- Vacation and Travel Products

Expected Workflow
- Navigate to the Alliant Marketplace tile and click “Request”
- An Alliant representative will reach out
- Provide business requirements and/or create table query
- Upload data to Snowflake data share (if applicable)
- Alliant will return requested data

搜集汇总

背景与挑战

背景概述

该数据集通过融合电商数据与线下消费记录构建旅游消费预测模型，涵盖航空、酒店、租车等多个细分领域及消费倾向指标。用户需通过官方申请流程获取数据，支持Snowflake平台共享。