Alliant Food and Beverage audiences are sourced from brand-specific e-commerce and Twitter data; that is then used as a study group and 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 predicting interest of the associated brand, cuisine and products.
Samples/Tables Included:
-Food and Grocery Delivery Services
-F&B Brands
-Cuisine Preferences
Sample Fields Included:
- Peapod Buyer Propensity
- Blue Apron Buyer Propensity
- DoorDash Buyer Propensity
- naturebox.com Buyer Propensity
- Nespresso Buyer Propensity
- Omaha Steaks Buyer Propensity
- Postmates Buyer Propensity
- Coffee
- Mexican Cuisine
- Cooking and Food Enthusiasts
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