Quick Service Restaurants

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

搜集汇总

背景与挑战

背景概述

该数据集基于Twitter数据与线下消费交易数据库整合分析，通过预测建模识别具有相似特征的潜在快餐品牌消费者。数据涵盖快餐与连锁餐厅品牌倾向性字段，用户需通过申请流程向Alliant提出请求以获取数据。