Media and Entertainment

Alliant Media and Entertainment audiences are built using product-specific e-commerce 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 of product verticals and intent to move.

Samples/Tables Included:
-Streaming Services
-Movies and TV Shows
-Video Games
-Musical Genres
-Newspapers
-Dating Websites
-Concert Attendees

Sample Fields Included:
- Ancestry.com Buyer Propensity
- Barnes and Noble Buyer Propensity
- DraftKings Buyer Propensity
- Live Nation Buyer Propensity
- Match.com Buyer Propensity
- Netflix Buyer Propensity
- Fast & Furious
- New York Times
- Fortnite
- Horror & Suspense

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

该数据集通过整合电商数据与线下消费数据库，构建预测模型识别具有相似特征的潜在消费者，覆盖流媒体服务、影视游戏、音乐报刊等7大娱乐领域，包含10余种典型产品的购买倾向预测指标。