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