How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift
Lift（数据挖掘）
广告
计算机科学
营销
业务
机器学习
作者
Matthew McGranaghan,Jūra Liaukonytė,Kenneth C. Wilbur
出处
期刊：Marketing Science [Institute for Operations Research and the Management Sciences] 日期：2022-02-09卷期号：41 (5): 873-895被引量：30
标识
DOI：10.1287/mksc.2021.1344
摘要
This paper uses data from a new technology that passively and continuously measures TV viewer presence and attention, enabling the first distinction between true ad exposures from ads that air to empty rooms.
PDF的下载单位、IP信息已删除
(2025-6-4)
Kao
Copyright
cdercder
毛豆
无极微光
东方元语
Nexus
yjh123
孤独的甜瓜
OK
Zephyrite
zp560
arniu2008
Dean
Criminology34
BigTong
学术文献互助
潇洒的惋清
乐空思
lizishu
皖公网安备34019202002308
