Financial Services & Insurance

Alliant Financial and Insurance related audiences are sourced from survey and Twitter data. For interest and purchase propensity modeling, the source 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 and of the associated brand or product.

Samples/Tables Included:
-Car Insurance
-Interest in Life/Health Insurance Brands
-Credit Card Holders
-Investment types
-Money Transfer services

Sample Fields Included:
- American Express Buyer Propensity
- H&R Block Buyer Propensity
- Intuit Buyer Propensity
- PayPal Buyer Propensity
- Square Buyer Propensity
- MassMutual
- MetLife
- Health Insurance - Propensity
- Life Insurance Buyers - Propensity
- Financial Interests

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

该数据集整合了来自调查和Twitter的金融与保险相关受众数据，通过分析消费者交易、人口统计和生活方式信息，用于预测建模以识别具有相似兴趣或购买倾向的家庭。它包含车险、信用卡持有者、投资类型等多个样本类别，并提供了美国运通、PayPal等品牌的购买倾向字段，用户可通过Alliant Marketplace请求定制数据并获取Snowflake数据共享服务。