Comscore Media Consumption – TV Viewership
收藏Snowflake2021-09-29 更新2024-05-01 收录
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资源简介:
Comscore’s TV viewership data provides a rich set of data based on granular TV viewership insights. Powered by Comscore’s expansive TV footprint that captures viewership from 75 million TV screens in over 40 million homes, measuring linear viewership of 1 in 3 US households. Comscore passively collects second-by-second TV set-top-box (STB) return path data sourced from leading MVPD partnerships and uses this viewership to provision our data for targeting and analytics. Comscore creates the largest single-source cross-platform dataset by matching deterministic STB data with our digital data in a privacy-compliant manner, leveraging our patented machine learning device graph. Within this dataset, we identify households exposed to the target viewing criteria as a seed set, utilizing that information with thousands of other potential attributes to create sophisticated statistical models to score user-IDs based on TV viewership behaviors. Easily join Comscore TV viewership data with your internal data for valuable analytics and to optimize campaign performance.
Samples/Tables Included:
- TV data
- Taxonomy
Fields Included:
- User ID
- ID Type
- Segment ID
- Segment Name
提供机构:
Comscore
创建时间:
2021-09-29
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集整合了覆盖4000万家庭、7500万电视屏幕的机顶盒收视数据,通过专利机器学习技术实现与数字数据的跨平台匹配,支持用户ID级别的收视行为分析和广告效果优化。包含用户ID、分类ID等核心字段。
以上内容由遇见数据集搜集并总结生成



