Alliant QSR audiences are built using Twitter 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 QSR brands.
Samples/Tables Included:
-Fast Food Brands
-Chain Restaurant Brands
Sample Fields Included:
- Quick Service Restaurants
- Chipotle Buyer Propensity
- Dunkin Donuts Buyer Propensity
- Grubhub Buyer Propensity
- Olive Garden Buyer Propensity
- Pizza Hut Buyer Propensity
- Chick-Fil-A
- Dairy Queen
- Fast Food - Propensity
- McDonald's
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