Food & Beverage - SAMPLE

SAMPLE - 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

搜集汇总

背景与挑战

背景概述

该数据集基于品牌电商和Twitter数据构建研究群体，并结合线下消费交易、人口统计和生活方式信息，通过预测建模识别具有相似特征的潜在消费者。它涵盖食品杂货配送服务、餐饮品牌和烹饪偏好等样本表格，包括多个品牌和服务的购买倾向字段，如Peapod、Blue Apron和墨西哥菜偏好。